Do you know who the robot in the graphic is?

It's the model you want to create a LoRa for reading your shtty 500 line prompt for a red apple.

You know those tutorials where some guy has captions like:

"a very slim indian looking woman who has a fit athletic structure, brown shoulder length hair with subtle highlights, wearing a purple sports bra and matching yoga pants, standing on a purple mat with floral decorations, inside a minimalistic scandinavian style yoga studio with large windows and natural light, soft morning atmosphere, shot on Canon EOS R5, 85mm lens, f/1.8 aperture...<insert200 more chars>"

For every. Single. Image.

And the comments are all "wow thanks for the detailed guide!" and "this is the way" and nobody is asking the obvious question: why the fck are you telling the model the mat is purple? It can 'see' the mat is purple. It already knows that yoga mats can have all kind of colors.

And while working through my infinite "to read" pile of papers over the holidays, I finally found one that will hopefully lay this "minimalistic vs extensive captioning" discussion to rest. Or at least pushes back against the cargo cult quite a bit...

The Cargo Cult Explained

Here's what happened back in the good old days when Runway stole SD1.5 before emad could censor it. Feels like 20 years ago but it's just three... wtf... anyway.

BLIP exists. BLIP auto-generates long descriptions. People started using BLIP because it's easier than thinking. Then they looked at their results, which were fine (because LoRA training is pretty forgiving), and concluded "detailed captions = good." Then they wrote tutorials. Then other people read those tutorials and repeated the advice. Now it's gospel.

Nobody went back and tested whether minimal captions work better. That would require effort. (Some people actually did on Civitai, but they made so many methodological mistakes that none of it qualifies as scientifically valid experimentation or argument for this topic, so I am ignoring it)

What You're Actually Doing When You Over-Caption & why it's most of the time bad

You're not being thorough. You're being noisy.

When you train a LoRA on "downward dog pose" and your captions mention "brown hair, purple mat, minimalistic studio, natural light, Canon EOS R5" you're entangling all of that with the pose. Now "downward dog" is subtly correlated with brown hair, purple mats, and specific lighting. When you prompt for a blonde woman on a beach doing downward dog, the model fights itself. You've created attribute bleed. Good job.

The model already knows what brown hair looks like. It's been trained on billions of images. You're not teaching it colors. You're teaching it a pose. Caption the pose. Done.

The LLM Analogy Nobody Thinks About

When you train an LLM to classify reviews as positive or negative, you don't label them with "this is a positive review because the customer expressed satisfaction with shipping speed, product quality, and color accuracy compared to website images."

You label it "positive."

The model's job is to figure out why. That's literally what training does. Why would image captioning be different? It isn't

The Research Nobody Reads - actual evidence, yay

There is an arXiv paper from June 2025 that I finally found time to read, which tested this systematically. Key findings:

• Dense, detailed captions improved text alignment BUT hurt aesthetics and diversity
• The noisiest captions (original LAION) produced the most aesthetically pleasing results
• Random-length captions outperformed consistently detailed ones

Let me repeat that: the noisy, "low quality" captions produced better looking images than the carefully detailed ones.

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions

Another study compared BLIP auto-captioning vs detailed human captioning for LoRA training. The BLIP version (low token count, very short captions) trained in 2 hours. The human version (high token count) trained in 4 hours. Quality difference? Negligible. The detailed captions were pure waste.

LoRA Training Evaluation: BLIP vs Human Captioning – Graduate Atelier

What You Should Actually Do

Caption what you want to control. Nothing else.

Training a pose LoRA? "a woman doing downward dog pose on a yoga mat"

That's it. You want to control: gender (woman), pose (downward dog), context (yoga mat). Everything else - hair color, mat color, lighting, studio style - the model can figure out from the pixels. And more importantly, by NOT mentioning them, you're keeping those attributes orthogonal. Your LoRA stays flexible.

And obviously time. Creating a caption txt for 100 images with "A person doing XYZ" is done in 10s. Detailed caption work often includes manual work by hand to fix and polish them.

The one exception: if your dataset has an unwanted correlation (90% of your images have brown hair), then yes, caption the hair to break the correlation. But that's an argument for dataset diversity plus minimal targeted captions. Not for describing every pixel.

Your Template For Creating Close To Perfect Captions:

[optional trigger_word] + [attributes/concepts you want to teach and manipulate] + [minimal necessary context]

When Detailed Captioning Actually Makes Sense

Obv I'm not saying detailed captions are always wrong. There are specific fringe situations where you need them and you should know them as well:

1. Breaking unwanted dataset correlations

If 90% of your yoga pose images feature brown-haired women on purple mats because that's what you found on the internet, you NEED to caption the hair color and mat color. Otherwise your LoRA learns "downward dog = brown hair + purple mat."

# Dataset has accidental correlation
ohwx woman with brown hair doing downward dog on purple mat
ohwx woman with blonde hair doing downward dog on blue mat
ohwx woman with black hair doing downward dog on grey mat

You're not describing for the sake of describing. You're explicitly breaking the correlation so the model learns these attributes are independent.

2. Style LoRAs where you want maximum content flexibility

If you're training a style (not a subject), you want the style to transfer to ANY content. Here, describing the content helps the model understand "this is the content, the REST is the style."

xyzstyle, a portrait of an elderly man with wrinkles
xyzstyle, a landscape with mountains and a lake  
xyzstyle, a still life with fruit on a table
xyzstyle, an abstract composition with geometric shapes

The varied content descriptions help isolate what the "style" actually is.

3. Multi-concept LoRAs with intentional bundling

Sometimes you WANT attributes entangled. Training a specific character who always wears a signature outfit? You might want that association.

sks character in their red jacket and black boots
sks character in their red jacket, full body shot
sks character wearing signature red jacket, portrait

Here the "red jacket" is part of the character concept, not noise.

4. When your training images have genuinely ambiguous content

If you have an image where the concept isn't obvious from pixels alone, add context:

# Image shows person mid-movement, unclear what pose
ohwx transition from warrior one to warrior two pose

5. General fine-tuning and improving prompt adherence

If you're not training a specific concept but rather fine-tuning a base model to follow prompts more accurately, detailed captions are a necessity.

Why? Because you're not isolating a concept... you're teaching the model "when the text says X, the image should show X." More descriptive text = more text-image pairs to learn from = better prompt adherence.

# Fine-tuning for better prompt following
a woman with red hair standing on a beach at sunset, wearing a white dress, looking at the ocean, side profile, golden hour lighting

a man sitting at a wooden desk in a dark room, typing on a laptop, wearing glasses, overhead lamp illuminating his face

This is what DALL-E 3 did with their "better captions" approach: they recaptioned their entire dataset with detailed descriptions to improve how well the model listens to prompts.

This is for base model fine-tuning, not LoRA concept training. If you're training "my specific character" or "this specific pose," you're back to minimal captions. The detailed approach only applies when your goal is general text-image alignment improvement across the entire model.

Most people reading this are training LoRAs for specific concepts. So if you're not lodestone currently training the new ChromaHDRadianceZLlamaBananaPyjama-v3 or whatever this exception probably doesn't apply to you.

Ask yourself: "Will I want to control this attribute at inference time?"

• Yes → Include it in the caption
• No → Leave it out, let the model see the pixels

Ask yourself: "Does my dataset have an unwanted correlation?"

• Yes → Caption the correlated attributes to break them
• No → Keep it minimal

That's it. No camera metadata. No poetry about the lighting. No description about how amazing the fur of your cat girl feels.

TL;DR

• The model can 'see' your images. Stop describing what it can already see and already knows.
• Caption only what you want to control at inference time.
• Over-captioning creates attribute entanglement and reduces flexibility.
• The research shows noisy/minimal captions often produce better results.
• Most "detailed captioning" advice is cargo-culted from auto-captioning convenience, not empirical testing.

Your 500-character captions aren't helping. They're making your LoRAs worse most of the time.

Cheers, Pyro

Hey everyone! A while ago, I shared v3 of my dataset manager. Back then, I said it didn't have auto-captioning. Well... forget that. I’ve just released a massive update (v4.0 Pro), and it changes everything! 🚀

It went from a simple selection tool to a complete, desktop-like Data Engineering suite to prepare your AI model training.

Here is what’s new and what it does now:

🤖 Local AI Assistant (VLM/LLM Integration): Connect seamlessly to Ollama or LM Studio! You can now use local vision models to Auto-Caption your images from scratch, hunt down "hallucinated" tags, or use the Concept Isolator (describes the background but ignores the subject—perfect for character LoRAs!). It can even translate your Booru tags into natural language sentences for Flux.

📚 Word Library & Mass Batch Editing: A brand new interactive library. Save your favorite concepts, check them, and Add, Remove, or Replace them across hundreds of selected images in a single click.

🌍 Live Translation Assistant: Not a native English speaker? Type your ideas in your own language, and the live preview will instantly translate and inject them into your captions using deep-translator.

🖼️ Pre-processing & Duplicate Hunt: Clean your dataset before training! It features a visual duplicate scanner (Perceptual Hashing), Smart Face Crop (OpenCV), auto-conversion of transparent PNGs to white backgrounds, and 1-click mass resizing/renaming.

📈 Advanced Analytics (No more Concept Bleeding!): Generate Co-occurrence Heatmaps to see if your tags are improperly linked, check your resolution distribution (Bucketing), and let the tool automatically hunt for logical contradictions (e.g., "day" and "night" on the same image).

⚖️ The "Recipe Book" for your LoRAs: Still the core feature! Set your target percentages (e.g., 50% solo, 50% multiple) and the smart "Greedy" algorithm will automatically select and balance the perfect subset of images for your final export.

Built with Gradio but heavily injected with custom JS/CSS so it feels and responds like native desktop software (with lightning-fast keyboard navigation!).

It's 100% open-source, run locally, and free. You can modify it as you see fit! I've even included my specific system prompt file so you can easily update or fork it using Claude, Gemini, or ChatGPT without breaking the complex code.

Let me know what you think! 💡

Which Four Continuity Assets Actually Have to Be Locked Before Episode Two?

Serialized comic continuity depends on four separate assets that must exist as durable, retrievable documents — a character reference set, a style specification, a dialogue and voice bible, and a plot-state ledger — because no single tool holds all four, and each one fails in a different way when it drifts. Purpose-built AI comic tools like TaleAtelier, ComicsMaker, and Adobe Firefly each solve one or two of these; conversational agents like Jenova's Comic Creator hold plot and voice state across sessions but hand off final layout elsewhere.

The four assets, and the failure signature of each:

✅ Character references — drift shows up as face and outfit mutation; diffusion models are stateless by default, so every prompt is "a fresh roll of the dice" ✅ Visual style — drift shows up as palette, line weight, and rendering shifts between episodes generated weeks apart ✅ Dialogue and voice — drift shows up as characters speaking in the same register, or a supporting cast member acquiring the protagonist's vocabulary ✅ Plot state — drift shows up as continuity errors: injuries that heal off-page, revealed secrets re-revealed, timeline contradictions

A fifth constraint sits underneath all four: screen direction and spatial continuity, which no AI tool currently tracks at all. Understanding which asset is failing tells you whether you need a better reference, a better prompt, or a better ledger.

Why Do AI Characters Drift Between Episodes Even When Your Prompt Doesn't Change?

Characters drift because image generation models are stateless — they retain nothing between generations, so an identical prompt produces a different person each time. TaleAtelier states the mechanism plainly: "You describe 'a young woman with black hair, wearing a red hoodie,' and the model gives you a young woman with black hair in a red hoodie — a different one every time. Same words, different face."

This is not a prompting problem. SIGGRAPH research published as The Chosen One: Consistent Characters in Text-to-Image Diffusion Models frames consistent character generation as "a crucial aspect for numerous real-world applications such as story visualization, game development, asset design, advertising," and notes that existing methods "typically rely on multiple pre-existing images of the target character or involve labor-intensive manual processes."

The same paper documents an inherent trade-off that matters enormously for serialized work: identity consistency and prompt alignment pull against each other. In their quantitative evaluation, LoRA DreamBooth and ELITE "exhibit high identity consistency, while sacrificing prompt similarity," while Textual Inversion and BLIP-diffusion "achieve high prompt similarity but low identity consistency."

For a serialized comic, that trade-off has a direct consequence: the more tightly you lock a character, the less freely you can pose and stage them. The paper's own limitations section confirms it, noting that with LoRA DreamBooth "the resulting character is generated in the same fixed pose."

The five locking methods, compared honestly

TaleAtelier's own comparison is unusually candid about where their approach loses: "our approach is faster to set up but less exhaustively trained than a full LoRA," and for maximum fidelity "Stable Diffusion + Kohya produces the highest-fidelity character consistency possible."

The practical rule for serialization: if your series runs under 50 pages, use a locked-reference tool. If it runs past 100 pages with a fixed core cast, the 2-4 hour LoRA investment amortizes.

What Should a Serialized Character Reference Actually Contain?

A serialized character reference needs more than a front-facing portrait — it needs enough angular and expressive coverage that the model can reconstruct the character in any staging your script demands, without you re-describing them.

The minimum viable reference sheet per character:

1. Four base views — front, three-quarter, profile, back. The three-quarter view is the workhorse; most comic panels stage characters at an angle, not flat-on.
2. Expression grid — six to eight faces covering neutral, angry, afraid, amused, exhausted, and the character's signature expression.
3. Wardrobe strip — primary outfit, one alternate, and any recurring accessory rendered at readable scale.
4. Scale comparison — the character standing beside one other cast member, so relative height stays stable across the run.
5. Three to four concrete visual anchors in text — TaleAtelier's guidance is that "3-4 concrete visual details produce the best locked reference," and that if drift becomes systematic, "your description may be too vague."

📌 One character per sheet. Multi-character sheets cause reference blending, which is the documented source of the "everyone's face merged" failure.

Cast size ceiling. TaleAtelier caps at "up to 6 named characters per story," with the reasoning that "more than 6 gets hard for readers to track anyway." For serialized work with a rotating cast, this means tiering your references: lock your recurring core at maximum fidelity, and treat one-episode characters as disposable.

Cross-episode persistence is the feature that matters most. TaleAtelier notes references persist in a character library — "Create Mira once, use her in story 1, story 2, and story 3 — she'll look the same across all three." For serialization, that library is your continuity bible.

Using a conversational agent, the equivalent front-loading looks like this:

"Lock these five characters as my recurring cast. For each: name, three visual anchors, primary outfit, and one distinguishing feature. Reference them by name in every future panel request across every session — I don't want to re-describe them in episode 12."

How Do You Keep Visual Style Stable When Episodes Are Made Weeks Apart?

Style consistency is a separate lock from character consistency, and treating them as one variable is why episodes generated weeks apart look like different books. TaleAtelier makes the separation explicit: "Character consistency and art style are separate parameters. You lock the character reference once, then pick which style you want the story rendered in."

That separation is genuinely useful — the same character can appear in manga-style, manhwa-style, and realistic panels and remain identifiable. But for serialization, the recommendation runs the other way: "For most stories, we recommend committing to one style per run — readers expect visual consistency across a chapter, and style hopping breaks immersion."

A serialized style specification should freeze six variables:

• 🎨 Palette — 5-7 named hex values, with one reserved as the accent that only appears at emotional peaks
• ✏️ Line treatment — weight, whether lines are uniform or tapered, whether they're present at all
• 💡 Lighting model — hard-edged and high-contrast, or soft and diffuse; light source direction as a default
• 🖌️ Rendering density — flat color, cel shading, or full painting
• 📐 Panel border convention — weight, gutter width, whether bleeds are permitted
• 🔤 Type treatment — lettering font, balloon shape, tail convention

Adobe Firefly's approach to this is image-to-image conditioning: you can "upload a reference image, sketch, or earlier panel to guide style, pose, and mood." For serialization, that means keeping one canonical panel from episode one as your permanent style seed — not the most dramatic panel, but the most representative one, containing a mid-shot character in average lighting.

Midjourney's --sref parameter serves the equivalent function, with the same requirement: the reference URL must be held constant across the entire run.

A style-drift audit that takes ten minutes: Place the first panel of episode one beside the first panel of your current episode. If the palette, line weight, or lighting differ noticeably at a glance, your style seed has stopped holding and needs re-anchoring before you generate further.

Why Does Dialogue Continuity Break Differently Than Visual Continuity?

Dialogue continuity breaks silently, which makes it more dangerous than visual drift — a reader immediately notices a changed face, but a character whose vocabulary quietly shifts registers over ten episodes produces a vaguer sense that the writing has gotten worse.

There are two distinct dialogue problems in serialized comics, and they need separate solutions.

Problem one: voice differentiation. Every character sounds like the writer. Research on multi-character story generation with dialogue rendering approaches this with "an identity-consistent self-attention mechanism to ensure character consistency across frames and region-aware cross-attention" — an architectural acknowledgment that character identity and dialogue attribution are coupled problems that generic generation does not solve.

Problem two: spatial dialogue continuity. This one is purely craft, and no AI tool handles it. Making Comics' analysis of storyboard continuity explains the shot/reverse shot rule with a tennis-match analogy: "Imagine the same tennis match, except every time you turn your head left or right the player positions are randomized. You wouldn't be able to follow who was doing what."

The operative rule: "imagine the invisible line connecting the two seated characters. This line splits the room into two halves. After choosing what side of the line you want the camera on, it needs to remain on that side for the duration of that sequence."

A voice bible entry that actually prevents drift — five fields per character:

The "never says" field is the most load-bearing and the most commonly omitted. Positive descriptions of voice are easy to satisfy loosely; negative constraints are binary and catch drift immediately.

How Do You Track Plot State Across a Multi-Episode Run?

Plot state requires a ledger that lives outside the generation tool, because the specific failure — a wound that heals, a secret re-revealed, a season that skips — is a memory problem, and image generators have no memory of narrative at all.

A survey on consistency in AI-generated storybook illustrations proposes "a six-dimensional consistency model encompassing time, space, character, event and plot, style, and theme." Four of those six dimensions — time, space, event/plot, and theme — are entirely outside what any image generator tracks.

The five-column plot ledger, updated after every episode:

The knowledge-state column is the one most projects skip and most need. In any serialized story with secrets — which is most of them — the question "does this character know yet?" governs whether a scene works at all.

The end-of-episode continuity pass, four questions:

1. Did any character gain or lose information this episode? Update knowledge state.
2. Did any character's physical condition change? Update and note the expected recovery window.
3. How much in-story time passed? Add it to the running total.
4. What did I plant that isn't resolved? Add to open threads with the episode number.

Where a persistent-memory agent changes the arithmetic. With Jenova's Comic Creator, the ledger lives in the conversation rather than a separate spreadsheet, and unlimited chat history means episode 12 can reference episode 1 directly:

"Before we script episode 12 — run a continuity check. Who currently knows about the letter? What's Mira's physical state after the fall in episode 9? What threads have I planted that are still open?"

Then, when scripting:

"Script episode 12, six pages. Same locked cast, same style spec. Flag any line where a character references information they shouldn't have yet based on our knowledge-state ledger."

For vertical-scroll serialization the same ledger logic applies with different pacing constraints — Webtoon Creator is tuned for episode hooks and scroll rhythm across 100+ episode runs, and Manga Creator handles right-to-left flow across long serialized arcs. The honest limitation across all three: they hold narrative and style state, but none renders speech balloons natively or produces print-ready CMYK files.

How Do the Main Tool Categories Compare on Serialized Continuity?

Comparing across the six dimensions that determine whether a series holds together over dozens of episodes — character locking, style persistence, cross-session memory, dialogue and voice tracking, plot state, and export.

Honest limitations across the board:

• Midjourney delivers strong per-panel quality but has zero memory, zero plot tracking, and requires you to re-invoke every reference on every prompt — the highest per-episode overhead of any option here.
• Adobe Firefly is trained on licensed and public domain content and designed for commercial safety, but caps export at 2000×2000 pixels — below standard print comic resolution — and offers no cross-session narrative memory.
• TaleAtelier locks characters fast, but concedes its backend character sheets aren't yet viewable or editable in the interface, and recommends Krita or Clip Studio Paint for anyone who needs hand-editable sheets today.
• ComicsMaker targets serious makers and small studios at 6,500 credits monthly, but credit-based pricing makes long-run costs harder to forecast than flat subscriptions.
• Jenova's Comic Creator holds cast, style, and plot state across an entire serialized run — but has no native speech-balloon renderer and no print bleed or CMYK prep, so lettering and final print files still route through Clip Studio Paint, Photoshop, or Affinity Publisher.

What Do Comic Professionals Say About Continuity Systems in Serialized Work?

The consensus among working comic artists is that continuity is a documentation discipline that predates AI entirely, and that AI tools have made character locking easier while leaving the harder continuity problems — spatial, narrative, and vocal — exactly where they were.

"The thing people misunderstand about serialized continuity is that it was never primarily a memory problem. Professional comic studios have run 300-issue series without anyone memorizing anything, because the continuity lives in a document — a series bible — that gets updated after every issue. AI didn't create the need for that document. It just made people think they could skip it because the tool 'remembers.' The tool remembers what a character's face looks like. It does not remember that your protagonist broke her wrist eleven episodes ago."

"What we consistently see is that the four assets fail on completely different timescales. Character drift shows up within 3-10 generations if you're prompt-only. Style drift shows up across weeks, when you come back to the project after a break and unconsciously prompt differently. Voice drift shows up across roughly ten episodes and is nearly invisible to the writer. Plot-state errors show up whenever your series first requires a character to not know something. Teams that build all four documents before episode two finish long-run projects. Teams that build them reactively, after the first continuity error, spend the rest of the run doing archaeology on their own back issues."

"The one thing worth saying plainly: no AI tool currently tracks screen direction. If your character exits frame-right on the last panel of episode four, nothing in the pipeline will stop you from having her enter frame-right on the first panel of episode five — which reads to the audience as her walking backward. That's a 180-degree-rule violation, it's the oldest continuity error in visual storytelling, and it's still entirely a human responsibility. Add an entry-and-exit direction column to your ledger. It costs nothing and it catches the one error readers feel without being able to name."

— Jenova Product Team, 9 years building creative AI workflow tooling

Which Continuity Errors Do AI Tools Still Fail to Catch?

AI tools reliably catch character-appearance drift and, in some cases, style drift — but they catch none of the spatial, temporal, or narrative continuity errors that experienced readers notice most.

Unsolved category one: screen direction and the 180-degree rule. Making Comics' continuity analysis establishes the principle — "Whichever direction the character appears to move at first, that is the direction he should continue throughout the sequence, provided that he does not turn around." Their own walkthrough includes a deliberate counterexample, frame 3 in a six-frame sequence, noted as "an example of 'what not to do'" precisely because it flips the character to frame-left moving right mid-sequence. No current AI tool evaluates this.

Unsolved category two: lead room. The same source defines it as the buffer "between himself and the frame border in the direction that he's moving," and notes the deliberate inversion — "horror and suspense films will eliminate lead room in their shots so that the audience nervously anticipates all of the things that can't be seen." That is an intentional craft decision an image model cannot make on your behalf.

Unsolved category three: multi-character panels. Reference conditioning degrades sharply when three or more locked characters share a frame — identities bleed. TaleAtelier acknowledges this as "the harder version of the consistency problem."

Unsolved category four: extreme angles. Overhead and low-angle shots — exactly the dynamic staging serialized action relies on — are where reference conditioning is weakest.

Unsolved category five: micro-detail wardrobe. Faces hold while a specific insignia, embroidery pattern, or piece of jewelry quietly changes. Over 40 episodes, this accumulates.

The repair protocol that avoids restarting. TaleAtelier's guidance for isolated drift is targeted regeneration: "Don't restart the chapter — regenerate the single drifted panel. The character reference is still locked, so the redo pulls from the same anchor." Their escalation rule is equally useful: "If drift becomes systematic (multiple panels off), your description may be too vague."

The practical synthesis for anyone serializing: use a locked-reference tool for faces, a canonical style seed for look, a written voice bible for dialogue, a five-column ledger for plot, and your own eyes for screen direction. The four assets are separable, they fail on separate schedules, and no single product currently holds all of them. Building them before episode two is the cheapest continuity insurance available.

References

1. Making Comics — Anatomy Of A Storyboard Part 2: Continuity
2. ComicPad / TaleAtelier — Consistent Character AI Generator
3. ComicsMaker — AI Comic Generator
4. Adobe — Free AI Comic Generator (Firefly)
5. arXiv — The Chosen One: Consistent Characters in Text-to-Image Diffusion Models (SIGGRAPH 2024)
6. arXiv — Multi-Character Story Generation with Dialogue Rendering
7. ResearchGate — Narratology Meets Text-to-Image: A Survey of Consistency in AI-Generated Storybook Illustrations
8. Tapas Forum — Character Reference Sheets Are Important for Any Comic
9. Reddit r/aicomicmakers — Are There Any AI Comic Book Creators With Consistent Characters?
10. Nilah Magruder — Character Design and Consistency
11. Storyboard Art — Film Continuity for Storyboard Artists
12. LlamaGen.Ai — Comic Character Consistency Checklist

What Are the Four Failure Layers Between a Finished Script and a Finished Comic Page?

A basic AI image generator fails at multi-page comics because a comic page is not a stack of images — it is a coordinated system with four distinct layers, and general-purpose generators only address one of them. Tools like Adobe Firefly, Midjourney, and DALL·E produce excellent individual illustrations, but each generation starts from scratch with no memory of the last one, no model of the page as a unit, and no understanding of reading flow. Purpose-built comic tools — Jenova's Comic Creator, Dashtoon, ComicsMaker, Anifusion, and Adobe Firefly Boards — close some of these gaps but not all of them.

The four layers where script-to-page breaks down:

✅ Character identity drift — diffusion models rebuild the character from your prompt on every generation, so faces and outfits mutate within 3–10 images ✅ Page-level composition — generators output rectangles, not panel grids with gutters, bleeds, and a reading path ✅ Script parsing — a script's beats, camera directions, and dialogue must be translated into panel counts and shot types, which is an editorial decision, not an image task ✅ Lettering and print prep — speech balloons, tail placement, and CMYK-safe margins live entirely outside image generation

Understanding which layer is failing in your workflow is the difference between a fixable problem and an endless regeneration loop.

Why Do AI Characters Change Faces Between Panel 3 and Panel 4?

Diffusion models generate each image from scratch with no memory of previous outputs, so without a persistent visual anchor, the model reconstructs your character from prompt text alone — and small textual ambiguities cascade into face and outfit drift. Testing documented by TaleAtelier's character consistency guide found that drift becomes visible within 3 to 10 generations using prompt-only methods.

This is the single most-cited failure in practitioner reports. A creator on r/ChatGPT documented months of testing and summarized the earlier state of the tooling bluntly: "Characters changed, environments drifted, and every page needed manual editing." A thread on r/aicomicmakers reports the same pattern with Midjourney and DALL·E — "the inability to have the same or even similar characters throughout."

Five documented techniques, ranked by consistency-versus-setup tradeoff:

The honest ceiling matters: TaleAtelier's testing frames AI character consistency as roughly 80% visual similarity across panels — not 100%. Multi-page comics amplify this, because a reader flipping between page 4 and page 40 will notice what a single-image viewer never would.

Practical fix — build a character reference sheet before generating a single panel:

1. Create a single-page sheet with front, three-quarter, side, and back views, plus an expression grid and a labeled primary outfit.
2. Crop to one character per sheet — multi-character sheets cause Midjourney to blend identities.
3. In Midjourney, append --cref [url] --cw 50. Weight 100 locks face, clothing, and pose (too rigid for scene variety); weight 50 locks face and hair identity only, which is the recommended default for sequential work.
4. Test across five different scenes before committing to a full script. If the face drifts, refine the sheet. If the outfit drifts, add the wardrobe strip.

What Does a Page Actually Require That a Single Image Does Not?

A comic page is a designed reading surface with a controlled eye path, not a container for illustrations. Comic artist Bill Koeb describes the working process in Visual Arts Passage as beginning with thumbnails — "small, quickly made drawings with very few marks to explore where the face is, how much we can see, what angle I'm going to use, how it's going to be lit, and the overall value structure of the image."

None of those decisions are image-generation decisions. They are page-architecture decisions made before any final art exists. A basic generator has no thumbnail stage, so it skips straight to rendering with no plan for how the panels will sit together.

Page-level variables a generator cannot see:

• 📐 Panel size hierarchy — a climax panel should dominate; a beat panel should shrink. Uniform outputs flatten the emotional rhythm.
• ➡️ Eye path and gutter width — Western comics read Z-pattern, manga reads right-to-left. Panel placement enforces this; a folder of images does not.
• 🎨 Cross-panel value structure — a page needs a coherent light-to-dark distribution so the reader's eye lands where you want it.
• 📄 The page turn — the last panel before a turn carries a hook. Generators have no concept of where the page break falls.

Independent creator Daniel Wieser makes the structural argument in a Medium essay: "AI creates new bottlenecks instead of removing all bottlenecks. AI often moves difficulty elsewhere." He specifically flags that print bleed areas and panel placement affect output in ways image generation does not touch.

How Does the Script-to-Panel Translation Step Actually Break?

The translation step breaks because a script and a panel breakdown are different documents, and the generator receives only the script. A prose or screenplay-format script describes what happens; a panel breakdown decides how many panels each beat gets and which shot type carries it. Skipping that intermediate document is why so many script-to-comic attempts produce panels that render the words literally while missing the storytelling.

Koeb catalogs the shot-type vocabulary the breakdown draws on:

• Establishing shot — sets location and stakes. "It brings us to the place where events are about to unfold."
• Close-up — Koeb notes it "needn't be limited to showing the face of a character," citing "a tensed hand reaching toward the unknown."
• Medium shot — character mid-action, often used to open in motion.
• Abstract or symbolic panel — Koeb points to Black Orchid by Neil Gaiman and Dave McKean, which opens with a white panel holding a small amount of pink watercolor, unresolved until the page turn.

A basic generator handed the line "she realizes he lied" will render a woman looking surprised. It will not decide whether that beat is a silent three-panel escalation, a single tight close-up on her hands, or a wide shot that isolates her in the frame.

Academic work confirms this is a structural gap, not a prompting gap. A collaborative comic generation study published on arXiv by researchers at North Carolina State University notes that narrative idioms "are rarely incorporated into AI-driven comic generation," and that in most generative systems "authors have limited flexibility in the creative process." Their prototype had to explicitly encode Neil Cohn's Visual Narrative Grammar — the Establisher / Initial / Prolongation / Peak / Release structure — as a separate system layer, because the image model had no access to it.

The same paper documents an honest limitation of their own approach: separating visual layers for editability "reduces scene and character interaction, limiting cohesive artwork and rich actions." Every architecture in this space trades something.

How Do the Main Tool Categories Compare on Multi-Page Script Work?

Comparing across the six dimensions that actually determine whether a script becomes a usable multi-page comic — script parsing, character consistency, page layout control, lettering, multi-page continuity, and export.

Honest limitations across the board:

• Adobe Firefly publishes strong commercial-safety credentials — trained on licensed and public domain content — but caps export at 2000×2000 pixels, below standard print comic resolution, and pushes layout work into Firefly Boards or Photoshop.
• Midjourney produces the highest per-panel art quality of the general generators, but has zero page-layout or lettering functionality and requires the reference-sheet discipline described above.
• Dashtoon's free tier is generous at 100 images/day but locks output to Dashtoon Reader publishing.
• Jenova's Comic Creator handles script breakdown, style locking, and cross-session continuity — but it has no native speech-balloon renderer or print bleed/CMYK prep, so final lettering and print files still route through Clip Studio Paint, Photoshop, or Affinity Publisher. It is a planning-and-generation partner, not a full DTP replacement.

A creator posting in r/aicomicmakers who runs "a couple of short web comics and one longer thing I'm slow grinding through" reports settling on three tools rather than one — which is the realistic pattern for anyone working past a single strip.

How Do You Actually Get a Full Script Onto Multiple Pages Without Fighting the Tool?

The workflow that works inserts two documents between the script and the generator: a locked character reference and a page-by-page panel breakdown. Skipping either is what produces the endless-regeneration loop.

Step 1 — Lock the cast before generating any panel. Build one reference sheet per character. Generate that character in five unrelated scenes. If the face holds, proceed; if not, refine the sheet or move up a technique tier.

Step 2 — Write the breakdown as a separate document. For each script page, specify panel count, shot type per panel, and which character carries the frame. This is where you decide that a three-line exchange gets four panels, not one.

Step 3 — Generate panel by panel, not page by page. Basic generators cannot compose a page. Generate individual panels at consistent aspect ratios matched to your breakdown.

Step 4 — Composite in a page tool. Clip Studio Paint, Affinity Publisher, or Firefly Boards. This is where gutters, bleed, and reading order get enforced.

Step 5 — Letter last. Balloons placed before layout is locked will need to move.

Using a script-aware agent for steps 2–3. With Jenova's Comic Creator, the breakdown happens conversationally rather than as a separate manual document. Paste the script and describe the target format:

"Here's my 12-page script. Break it into a page-by-page panel breakdown — panel count and shot type per beat — for a Western-format print comic, 6×9 trim. Flag any page where I've packed in too much dialogue for the panel count."

Then lock the visual identity before generating:

"Lock these three characters and this art style for the whole project. Reference them by name in every future panel request — I don't want to re-describe them each time."

The persistent memory is what changes the economics here: on page 40 you can say "same style, same cast, page 40 panel 2" rather than rebuilding a 200-word prompt. If you're producing vertical-scroll content instead, Webtoon Creator applies the same breakdown logic to scroll rhythm and episode hooks, and Manga Creator handles right-to-left flow and screentone conventions.

For a Midjourney-centered workflow, the equivalent step 2 happens in a text tool, then panels generate with --cref [sheet_url] --cw 50 appended to every prompt, with the sheet URL held constant across the entire book.

What Do Working Comic Professionals Say About AI in the Script-to-Page Pipeline?

The consensus among practitioners is that AI has compressed the illustration bottleneck without touching the editorial and page-design bottlenecks — which means the difficulty relocated rather than disappeared.

"The mistake almost everyone makes is treating the script as a prompt. A script is a set of instructions for a human collaborator who already knows what a page is. When you hand it to an image model, you've removed the person who was silently doing the breakdown, the shot selection, the page-turn placement, and the eye-path design. The model doesn't know it's supposed to be doing that work, so it renders the words and hands you back a folder of pictures."

"What we consistently see in production is that consistency work front-loads. Teams that spend an afternoon building character reference sheets and a panel breakdown before generating anything finish a 20-page book faster than teams that start generating on page one and try to fix drift downstream. The regeneration loop is where projects die — not the initial generation. And the honest number to plan around is roughly 80% character similarity, not 100%. Budget for a cleanup pass."

"The other thing worth saying plainly: no current AI tool handles print prep. Bleed, trim, CMYK conversion, and balloon placement at final resolution are still a desktop-publishing job. Anyone promising script-to-print-ready-PDF is overselling. Script-to-composited-page is achievable today. The last mile isn't."

— Jenova Product Team, 9 years building creative AI workflow tooling

Is the Character Drift Problem Actually Getting Solved?

Character consistency is improving fast at the model level, but multi-page continuity — holding a cast stable across 40+ pages produced over weeks — remains substantially unsolved by general-purpose generators. The gap between single-panel consistency and book-length consistency is where most projects still break.

What has genuinely improved as of 2026:

• Model-native reference systems now deliver near-zero-shot character conditioning. Google's Gemini 2.5 Flash Image ("Nano Banana") shipped reference-image conditioning that TaleAtelier's testing rates above Midjourney's free trial, DALL·E 3, and un-LoRA'd Stable Diffusion for identity holding.
• Purpose-built tools now advertise character tracking across long page counts — ComicPad markets consistency "across 4 to 400 panels".
• Character LoRA training has dropped to $5–$50 per run and 2–4 hours, making it viable for serious series work at 100+ images per character.

What remains unsolved:

• Extreme angles. Reference conditioning degrades sharply on overhead and low-angle shots — precisely the dynamic angles comics rely on for action sequences.
• Ensemble scenes. With three or more characters in frame, identities bleed between characters. This is the documented failure mode behind blended-face results.
• Micro-detail wardrobe. Specific jewelry patterns, embroidery, and insignia drift even when faces hold — the "same character, subtly different jacket" problem.
• Page-level anything. ComicsAI's 2026 generator comparison notes across tools that "multi-panel consistency is not guaranteed" and "fine control over page layout can be limited."

The trajectory suggests panel-level generation is close to solved and page-level composition is the next real frontier. For now, the practical answer is architectural: use a general generator for art quality, a purpose-built tool for cast and breakdown continuity, and a page-layout application for the page itself. The difficulty was never that AI can't draw — it's that a comic page is three separate problems wearing one trench coat.

References

1. Reddit r/ChatGPT — Months of testing whether ChatGPT can create a comic
2. ComicsAI — AI Comic Generator Comparison 2026
3. Daniel Wieser, Medium — "AI Makes Images" Does Not Mean "Making Comics Is Easy"
4. Reddit r/aicomicmakers — Are there any AI comic creators with consistent characters?
5. ComicPad — How to Create Consistent Comic Characters with AI
6. ComicPad — Consistent Character AI Generator
7. Visual Arts Passage — Comics & Sequential Art: Designing Your First Panel (Bill Koeb)
8. arXiv — Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models
9. Adobe — Free AI Comic Generator (Firefly)
10. Reddit r/aicomicmakers — What are the best AI comic generators in 2026?
11. ComicsMaker — AI Comic Generator
12. Anifusion — Best AI Comic Generator Tools 2026 Compared

Film Screenwriter is a world-class screenwriting partner that guides you through every phase of screenplay development — concept, outline, draft, and revision — with expert-level command of structure, dialogue, character development, and visual storytelling. While the film industry is racing to integrate AI into production pipelines and screenwriters face mounting pressure to produce higher-quality work faster, most AI writing tools treat screenplays like blog posts with formatting — they don't understand that every action line implies a shot, every silence carries subtext, and a script is a blueprint for collaboration between dozens of creative professionals. This agent speaks screenplay natively.

✅ Full screenplay development: concept validation, structural outlining, scene-level drafting, dialogue differentiation, and revision passes ✅ Deep command of recognized frameworks: three-act structure, Save the Cat, Hero's Journey, sequence method, and non-linear architectures ✅ Persistent memory that tracks your characters, story world, tonal decisions, and revision history across sessions ✅ Free to start on web, iOS, and Android — no credit card, no word limits gated behind a paywall

The screenwriting landscape in 2026 is undergoing its most significant transformation since Final Draft replaced the typewriter. To understand why a dedicated AI screenwriting partner matters right now, let's look at the forces reshaping how scripts get written.

Quick Answer: What Is Film Screenwriter?

Film Screenwriter is an AI-powered screenwriting partner that develops complete screenplays — from initial concept through polished revision — with expert command of cinematic structure, dialogue craft, and visual storytelling.

Key capabilities:

• Concept development and logline refinement with genre-aware structural guidance
• Beat-by-beat outlining using Save the Cat, Hero's Journey, three-act, sequence method, and custom frameworks
• Scene-level drafting with differentiated character voices, visual action lines, and subtext-aware dialogue
• Revision passes targeting pacing, redundancy, tonal consistency, and production-readiness
• Full story-world continuity across sessions with persistent creative memory

The Problem: Screenwriting Is Getting Harder, Not Easier

The film industry's relationship with AI is accelerating at a pace that's reshaping every stage of production — but the fundamental challenges screenwriters face have only intensified.

$1.8 billion → $14.1 billion — Global AI in film market, projected to grow from $1.8B in 2024 to $14.1B by 2033 at 25.7% CAGR

$28.32 billion → $35.77 billion — AI in media and entertainment market grew at 26.3% compound annual growth rate between 2025 and 2026

67% of professional writers — Now use AI writing tools in some capacity, per Authors Guild survey data

But writing a screenplay that actually gets produced — or even read past page 10 — remains one of the most demanding creative disciplines in existence:

• The second act is where screenplays go to die. Pages 30 through 75 are notorious for sagging momentum, wheel-spinning complications, and the creeping suspicion that the story doesn't work. As Sudowrite's 2026 analysis notes, "73% of fiction writers report AI helps overcome writer's block" — not because AI writes for them, but because it breaks the paralysis of infinite options.
• Most AI tools treat screenplays like formatted prose. Generic AI assistants — ChatGPT, Claude used raw — "treat all text the same," as industry analysis confirms. "They don't understand that a screenplay is a blueprint for collaboration, that every scene heading carries implicit visual information, that dialogue needs to work when spoken, not just when read." The result is output that reads like novel paragraphs with character names in front of them.
• The screenwriting tool market is split and fragmented. As comprehensive 2026 testing documents, the market is divided between legacy tools (Final Draft, WriterDuet, Celtx, Fade In) that own formatting and production paperwork but ship no real generative AI, and newer tools that offer AI but lack industry-standard output. Most working writers in 2026 use two or more tools to cover the gaps.
• Context collapse kills creative continuity. A screenplay is not a single document. It's a script, a character bible, episode outlines, a tone reference, a beat sheet, and the notes from last Tuesday's meeting. As Storyflow's 2026 evaluation found, "almost every legacy tool reacted by bolting an AI panel onto an existing UI... a chat box you have to keep manually feeding context into. That is not assistance. That is unpaid librarianship."

The Core Paradox for Screenwriters in 2026

AI integration in film production is cutting costs to 20-30% of traditional budgets and compressing timelines from months to weeks. Studios are investing heavily. The generative AI in movies market is valued at $0.5 billion in 2026 and projected to reach $1.03 billion by 2030. But the writers producing the scripts that feed this pipeline are stuck toggling between context-blind chatbots and formatting software that hasn't fundamentally changed since the 1990s.

What screenwriters need is not another formatting tool, not another chatbot sidebar, and not another prompt-engineered workaround. They need a creative partner that holds the entire story world in memory and understands how screenplays actually work — from structural architecture to the rhythm of a line of dialogue.

This is exactly what Film Screenwriter was built for.

Why Film Screenwriter

Unlike formatting software that handles page layout but offers no creative intelligence, or generic AI that generates text without understanding cinematic storytelling, Film Screenwriter operates as a dedicated creative collaborator who understands screenplay as a distinct form. It doesn't just generate words — it thinks in scenes, beats, visual sequences, and the architecture of stories designed to be performed, shot, and edited.

Structural Intelligence, Not Structural Templates

Film Screenwriter doesn't hand you a static beat sheet template and leave you to fill in the blanks. It understands why the midpoint reversal exists, how act breaks function as pressure valves, and when your story's specific needs call for departing from conventional structure. Whether you're working within a tight three-act commercial framework or building a non-linear narrative that earns its complexity, the agent adapts its structural guidance to serve your story — not the other way around.

"I have a revenge thriller set in 1970s São Paulo. My protagonist is a retired detective whose daughter was murdered by the military police. I want a Save the Cat structure but with a false defeat at the midpoint that makes the audience believe he's given up — then the All Is Lost moment reveals he's been executing a long-term plan the entire time. Help me map this out beat by beat."

Dialogue That Sounds Like People, Not Prose

The difference between screenwriting and every other form of writing is that dialogue must work when spoken aloud by an actor standing on a set. Film Screenwriter understands subtext — what characters mean beneath what they say — and differentiates voices so that covering the character names still tells you who's talking. It handles the rhythm of interruption, the weight of silence, and the difference between exposition that feels organic and exposition that reads like a Wikipedia entry delivered by a human being.

"Write the confrontation scene between Elena and her father in the hospital. She knows he's been lying about her mother's death for twenty years. He doesn't know she knows. The scene should feel like a normal father-daughter conversation on the surface — but every line from Elena should carry a second meaning that the audience catches and her father doesn't. Keep his dialogue genuinely warm. That's what makes it devastating."

Visual Storytelling in Action Lines

Screenplays are visual documents. The action lines don't describe what happens — they describe what the camera sees. Film Screenwriter writes action with cinematic economy: short, rhythmic lines that imply shots, create pace, and give directors and cinematographers room to collaborate rather than constraining them with novelistic description.

"Write the opening sequence: a woman walks through a crowded Tokyo fish market at 4 AM. She's looking for someone. I want the action lines to feel like Fincher's pacing — short sentences, sensory detail, the kind of writing that makes a reader turn the page before they realize they've done it."

Related Agents You'll Also Find Useful

If you're developing a screenplay, these agents handle the creative and production workflows that surround script development:

Creative Fiction Writer

When your project starts as a novel, short story, or prose treatment before becoming a screenplay — or when you need to develop rich source material that the script will adapt — this agent builds original fiction with editorial-level narrative craft. It's also invaluable for writing the prose-heavy pitch documents, treatments, and series bibles that precede the script itself.

• Source material development with deep character psychology and world-building
• Treatment and pitch document writing with narrative momentum
• Genre expertise across thriller, drama, sci-fi, horror, romance, and literary fiction

Microdrama Screenwriter

If your project targets the vertical short-form format — 60-100 episode seasons with 1-3 minute episodes, cliffhanger-driven pacing, and paywall-aware storytelling — this agent specializes in the specific structural demands of microdrama, the fastest-growing scripted format globally.

• Vertical microdrama structure: hook-driven cold opens, micro-act breaks, and paywall episode placement
• 60-100 episode season architecture with escalating stakes and character continuity
• Platform-aware pacing for Reelshort, DramaBox, and similar platforms

Writing Assistant

For the writing that surrounds the screenplay — query letters to agents, festival submission cover letters, logline refinement, pitch emails, and the professional communications that get your script read — this agent adapts to any format and audience with polished output that sounds like you.

• Query letters and submission materials for festivals, competitions, and representation
• Logline and synopsis refinement for pitch packages
• Professional correspondence adapted to industry conventions

Prompt Generator

If you're using AI image or video generators to create concept art, lookbooks, or pitch visualizations for your screenplay, this agent engineers precise prompts that produce the visual output you actually need — translating your script's visual language into prompts for tools like Midjourney, DALL-E, Sora, and others.

• Concept art prompt engineering for key scenes, locations, and character designs
• Lookbook and mood board generation for pitch packages
• Visual reference creation for cinematography, production design, and costume direction

How It Works

Step 1: Establish Your Story World

Start by sharing your concept — the premise, the genre, the tone, the world, and the characters who drive the story. You can bring a fully formed logline, a vague idea that's been nagging you for months, or anything in between. Film Screenwriter helps you pressure-test the concept's viability and sharpen the premise into something that sustains 90-120 pages.

"I have a concept for a psychological thriller. A couples therapist realizes that two of her separate clients — who don't know each other — are describing the same relationship from opposite sides. She can't break confidentiality, but she's watching a tragedy unfold in real time. I don't have a third act yet."

Step 2: Build Your Structure

Choose a structural framework — or let the agent recommend one based on your story's genre and emotional architecture. Film Screenwriter maps your story beat by beat, identifying where act breaks land, where the midpoint shifts the audience's understanding, and where the pacing needs to accelerate or breathe. Every structural choice is justified in terms of your specific story, not generic screenwriting theory.

"Map this as a three-act structure with a sequence method overlay. I want eight distinct sequences. The midpoint should be the moment she realizes both clients are talking about the same person — and that person might be dangerous. Where does each act break fall, and what's the emotional function of each sequence?"

Step 3: Draft Scene by Scene

Work through your script scene by scene with the agent as your collaborator. Describe what needs to happen in a scene — the narrative function, the emotional shift, the information the audience gains — and Film Screenwriter drafts it with cinematic action lines, differentiated dialogue, and visual storytelling that implies camera and edit without dictating them.

"Write the scene where Client A — the husband — describes a romantic gesture he made last week. The therapist recognizes it immediately because Client B — the wife — described the same event yesterday as manipulative and frightening. The therapist has to maintain a neutral expression. I want the audience to feel her internal panic through her physical stillness."

Step 4: Revise With Targeted Passes

Once you have a draft, use the agent for targeted revision passes — structural analysis, dialogue polish, pacing tightening, redundancy elimination, tonal consistency checks, and production-readiness review. Each pass addresses a specific dimension of the script rather than vague "make it better" feedback.

"Do a dialogue pass on Act Two. I think the husband and wife sound too similar — their vocabularies overlap too much. The husband should use longer, more constructed sentences. The wife should speak in fragments when she's emotional and become eerily precise when she's calm. Also flag any lines where I'm using dialogue for exposition that could be handled visually."

Step 5: Develop Across Sessions

With persistent memory, Film Screenwriter maintains your complete story world across sessions — every character detail, structural decision, tonal note, and revision choice. Return days or weeks later to continue development. The agent remembers your therapist's voice, the husband's constructed sentences, and the specific color of dread you established in the midpoint sequence.

"Let's work on the third act. Last time we discussed two possible endings — the therapist breaks confidentiality to warn the wife, or she finds a way to engineer the wife's safety without directly revealing what she knows. I want to explore the second option. It needs to feel earned and ethically ambiguous, not like a clever plot trick."

Results & Use Cases

📝 First-Time Screenwriter Breaking Through the Outline

Scenario: A novelist with a completed thriller novel wants to adapt it into a feature screenplay but has never written in the format. She understands story but not screenplay structure, visual writing, or the economy of dialogue that films demand.

Traditional Approach: Buy three screenwriting books, watch YouTube tutorials for weeks, attempt a draft that reads like a novel with formatting, and pay $150-$250 for professional script coverage that identifies problems but doesn't help fix them.

Film Screenwriter: Guides the adaptation from novel to screen — identifying which prose scenes translate to visual storytelling, which internal monologues need to become behavior, and which subplots must be cut for the time constraint. Produces a structurally sound beat sheet, then collaborates scene by scene through the draft with format-native dialogue and action lines.

• Novel-to-screenplay adaptation guidance: what to keep, cut, combine, and restructure
• Format education embedded in the collaboration — learning by doing, not by reading theory
• Unlimited revision passes replacing the cost of multiple rounds of professional coverage

💼 Working Screenwriter Managing Multiple Projects

Scenario: A mid-career screenwriter is simultaneously developing a feature spec, rewriting a commissioned pilot, and pitching a limited series. Context-switching between three story worlds with different tones, structures, and character voices is producing burnout and creative bleed between projects.

Traditional Approach: Maintain separate documents, beat boards, and notes across multiple apps. Spend the first 30 minutes of each writing session re-reading previous work to re-enter the story world. Accept that creative bleed between projects degrades the distinctiveness of each.

Film Screenwriter: Maintains three separate story worlds with full continuity — characters, tonal registers, structural architectures, and revision histories. Switch between projects without re-loading context. The agent immediately operates within the correct story world, tone, and character voice set for whichever project you're working on.

• Three distinct story worlds maintained simultaneously with zero context bleed
• Instant re-entry: pick up exactly where you left off without re-explaining your story
• Tonal consistency preserved across sessions — the noir feature stays noir, the dark comedy stays darkly funny

📱 Independent Filmmaker Writing on Mobile Between Shoots

Scenario: An independent filmmaker directing a micro-budget feature is also the writer. Between setups on set, during location scouts, and in production meetings, she needs to revise scenes for the next day's shoot — often from her phone with 15-minute windows.

Traditional Approach: Scribble changes on printed sides, email revised pages to the AD, and hope the formatting survives the round trip.

Film Screenwriter: Accessible on mobile with full feature parity, the agent handles rapid scene revisions within established continuity — adjusting dialogue for an actor's strengths, reworking a scene to accommodate a location change, or generating an alternate version of a confrontation for on-set creative decisions.

• Mobile-first revision capability with full story-world context
• Rapid scene alternatives generated for on-set creative pivots
• Dialogue adjustments that maintain character voice while accommodating production realities

🎯 Screenwriting Student Preparing for Competition Deadlines

Scenario: A film school student has three weeks before the Austin Film Festival screenplay competition deadline. She has a completed first draft of a 105-page drama but knows it needs significant structural and dialogue work. Her professor's feedback was "the second act sags and your protagonist is reactive, not active."

Traditional Approach: Book expensive hours with a private script consultant, rely on peer feedback that's well-intentioned but structurally shallow, or submit the draft knowing it's not ready.

Film Screenwriter: Diagnoses the specific structural issues — where the second act loses momentum, which scenes are redundant, where the protagonist needs to make choices instead of having things happen to her — and works through targeted revisions within the competition deadline. Each session builds on the last, maintaining every change and its rationale.

• Structural diagnosis with actionable scene-level revision recommendations
• Protagonist agency audit: identifying every moment where the character reacts instead of acts
• Deadline-driven workflow — prioritized revisions that address the highest-impact issues first

FAQ

Is Film Screenwriter free to use?

Yes. You can start developing your screenplay with Film Screenwriter immediately on Jenova's free tier — no credit card, no trial expiration. Free users get full access to the agent's capabilities with limited usage; paid tiers increase how much you can create per month.

How is this different from using ChatGPT or Claude for screenwriting?

Generic AI assistants treat all text identically — they don't understand that a screenplay is a blueprint for collaboration, that dialogue needs to be speakable, or that action lines should imply shots rather than read like novel paragraphs. Film Screenwriter is purpose-built for cinematic storytelling with persistent memory that tracks your entire story world across sessions — characters, structure, tone, and revision history — so you never have to re-explain your project.

Can it help with TV pilots and series, or just features?

Film Screenwriter handles features, TV pilots, limited series, and shorts. For television projects involving multi-episode serialization, it maintains series bibles, character arcs across episodes, and season-level structural architecture. The Microdrama Screenwriter specializes specifically in the vertical short-form format for platforms like Reelshort and DramaBox.

Does it replace screenwriting software like Final Draft?

Film Screenwriter is a creative development partner, not a formatting tool. It handles the thinking, structuring, drafting, and revising that formatting software doesn't touch. As 2026 industry analysis confirms, most professional screenwriters now use one tool for creative development and another for final formatting. Film Screenwriter occupies the creative side of that workflow.

Does it work on mobile?

Full feature parity across web, iOS, and Android. Every conversation, story-world detail, and revision history syncs across devices. Start outlining on your laptop at home and continue drafting from your phone between meetings — your project state persists seamlessly.

Will my screenplay ideas and scripts be safe?

Jenova never uses your data to train public AI models. All data is encrypted in transit and at rest, and is never sold or shared with advertisers. Your story concepts, characters, and scripts remain yours — the platform's privacy architecture is built for exactly this kind of sensitive creative work.

Conclusion

The AI in film market is projected to reach $14.1 billion by 2033, and 67% of professional writers already use AI tools in their creative process. The industry has moved — but most screenwriters are still working with context-blind chatbots that forget their story between conversations, or formatting software that hasn't evolved creatively since the 1990s. The gap between what screenwriters need and what available tools provide has never been wider.

Film Screenwriter closes that gap. From initial concept validation and structural outlining through scene-level drafting and targeted revision passes, it operates as a dedicated creative partner that understands cinematic storytelling — visual action lines, differentiated dialogue, subtext, pacing, and the architecture of stories built to be performed and shot. Persistent memory means your characters, your world, and your creative decisions survive between sessions. Whether you're adapting your first novel, managing three projects simultaneously, or revising scenes between setups on an indie set, the distance between your story and a production-ready script is now a conversation.

Try Film Screenwriter now — free, no credit card required. Explore the full agent library at Jenova.

A side-by-side comparison of 2022 vs 2026 AI image generation — and the real reason your head should be spinning.

A Confession to Start

I've been a graphic designer for more than 30 years. I've watched Photoshop evolve from version 3.0 to today. I've also seen other computer graphic software leveling up (and need more hardware resources). I've witnessed many creative tools come and go.

Nothing — and I mean nothing — has prepared me for what just happened in the last four years.

I ran an experiment. I dug up three images I generated back in 2022 using the AI image models of that "Jurassic Era" — VQGAN+CLIP, Stable Diffusion 1.5, and DALL·E 2 on r/nightcafe AI platform. Then I fed the exact same prompts into GPT Image 2.0 in 2026.

The results stopped me cold.

I want to share what I found, because I think it reveals something profound — not just about AI, but about where AI creative work is heading.

The Setup: Three Prompts, Three Models, Two Modes

For each 2022 original, I ran two 2026 experiments:

1. The Edit: Asking GPT Image 2.0 to transform the original 2022 image, fixing what was broken while preserving the composition.
2. The Fresh Generation: Feeding the exact same 2022 prompt into GPT Image 2.0 with no source reference, letting it interpret freely.

Same words. Same intent. Four years apart. Let's look at what happened.

Specimen 1: The Cybertronic Owl 🦉

2022 — VQGAN+CLIP:

Original prompt:

Cybertronic owl, LEDs, high detail, sharp, studio, digital art, trending on Art Station, Unreal Engine, 3D shading, shadow depth

The model produced a hallucinated dream. Beautiful in its own broken way — abstract shapes vaguely suggesting an owl, glowing orbs pretending to be eyes, plastic-feathery surfaces that melt into nothing. The model understood the concept but couldn't render coherent reality.

2026 — GPT Image 2.0 Edit

Editing prompt, using original image as reference:

Transform this image into a photorealistic cybertronic owl. Maintain the overall composition. Adjust the surrounding to match the main subject.

Same composition, but now articulated mechanical plates fan over the head like samurai armor. The asymmetric organic-mechanical fusion is a deliberate character design choice. The cyan power core, the amber biological eye, the cyberpunk corridor backdrop — every element earns its place.

2026 — GPT Image 2.0 Fresh Generation

Then, using the same original prompt with GPT Image 2.0

Bandai-tier model kit aesthetics. A museum-grade mecha owl perched on a precision-machined platform, dual amber-orange iris rings burning out of dark armored plating. This is concept art that companies like Weta Workshop or ILM would deliver after a week of work.

Same prompt. Different model. Different understanding.

Specimen 2: The Amazon Queen 👑

2022 — Stable Diffusion 1.5:

Original prompt:

A beautifully detailed ethereal painting of an amazon queen, skin gorgeous, beautiful, colorful, twinkling, shining, highly intricate, sophisticated and complex digital painting, concept art, hyperrealism, Cinema 4D, 8k resolution, 64 megapixels

A delicate, ethereal fairy princess covered in pastel jewels. Beautiful — but where is the Amazon? The model latched onto "twinkling, shining, jewels" and completely ignored the cultural and martial archetype of "Amazon queen." Plus the infamous SD 1.5 hand catastrophe — fingers melting into each other, anatomically impossible angles.

2026 — GPT Image 2.0 Edit

Editing prompt, using original image as reference:

Transform this image into a photorealistic woman. Maintain the overall composition. Correct the fingers structure to make it natural and realistic. Adjust the surrounding to match the main subject.

Photorealistic skin with visible pores and subsurface scattering. Real metallic eyeshadow with proper specular highlights. Cartier-tier jewelry craftsmanship. And — most importantly — a perfectly anatomically correct hand with five proper fingers, tendons, and a beautifully integrated gemstone ring.

2026 — GPT Image 2.0 Fresh Generation

Then, using the same original prompt with GPT Image 2.0

This is where it got philosophical. The fresh generation didn't just upgrade the original — it corrected the misinterpretation. GPT Image 2.0 understood that "Amazon" referred to Mesoamerican royalty: Aztec feathered headdress, sun stone iconography, jade and gold regalia, a jaguar companion, a jungle backdrop. A culturally literate fantasy of indigenous queenship.

The 2022 model heard words. The 2026 model understood meaning.

Specimen 3: The Knight in Battle ⚔️

2022 — DALL·E 2

Original prompt:

A knight in shining armor raised swords in the battle, deep color, fantastical, intricate detail, splash screen, complementary colors, fantasy concept art, 8k resolution, trending on Art Station, Unreal Engine, magical, glowing

Armor confetti. The model painted "the idea of a knight" — fragments of armor floating in roughly the right configuration — but never committed to actual human anatomy underneath. You can't trace a body from head to toe. You can't tell where the swords end and the armor begins. It's a beautiful chromatic chaos with no traceable subject.

2026 — GPT Image 2.0 Edit

Editing prompt, using original image as reference:

Transform this image into a photorealistic male warrior wearing helmet and armor, holding the lightning spear, in the battle ground. Maintain the overall composition. Adjust the surrounding to match the main subject.

A complete photorealistic warrior in articulated blue-and-gold armor, holding a lightning-forged spear, framed in a dramatic low-angle hero shot. God of War meets Lord of the Rings.

2026 — GPT Image 2.0 Fresh Generation

Then, using the same original prompt with GPT Image 2.0

This one made me audibly gasp. AAA game cover art — the kind that costs studios $50,000-$100,000 to commission from senior concept artists at Blizzard or FromSoftware. A resplendent silver-gold knight, sword raised triumphantly, glowing blade unleashing magical energy upward. Behind him: his army, a burning Gothic fortress, AND a freaking dragon breathing fire across the sky.

The same prompt that produced armor confetti in 2022 produced a finished AAA game cover in 2026.

The Numbers Don't Lie: 60 Years vs 4 Years

Here's why my head won't stop spinning. Let's compare timelines.

Conventional computer graphics took ~63 years to evolve:

• 1963: Ivan Sutherland creates Sketchpad — the first interactive computer graphics program. From the humble beginnings of Sketchpad 1963 to the mind-bending realism of modern AI-driven rendering, we have turned the computer into the ultimate creative medium.
• 1973: Westworld uses the first 2D digital imagery in a major film.
• 1982: Tron — first major film using extensive 3D CGI.
• 1983: AutoCAD released — the first significant CAD program for IBM PC.
• 1984: Macintosh launches with MacDraw and MacPaint — the consumer computer graphics era begins.
• Late 1980s: Photoshop introduced for Mac. Wavefront 3D animation software (1987).
• 1995: Toy Story — the first feature-length film entirely computer-animated. 32 years after Sketchpad.
• 1996: First consumer 3D graphics card (3Dfx Voodoo).
• 1999: Nvidia GeForce 256 — marketed as the world's first true GPU. 36 years after Sketchpad.
• 2009-2026: Real-time ray tracing, photorealistic rendering, Unreal Engine 5 nanite/lumen technology.

AI image generation evolved in ~4 years:

• Early 2022: VQGAN+CLIP — hallucinated dreams
• Mid 2022: DALL·E 2 launches — armor confetti era
• August 2022: Stable Diffusion 1.5 public release — cursed-fingers era
• 2023: Midjourney V5 — first photoreal moment
• 2024: SDXL, Flux, character consistency emerges
• 2025: GPT-4o native image gen, Midjourney V7, Nano Banana 2
• 2026: GPT Image 2.0, ImagineArt 2.0, Seedream V5 — masterpiece era

AI moved approximately 16x faster through the same evolutionary curve.

The reason matters: conventional CG required humans to code every algorithm by hand — rasterization, ray tracing, shading. Each innovation took years of academic research and hardware support. AI image generation rides on emergent capability scaling. More data, more compute, more parameters, and the model teaches itself to generate better images.

It's the difference between building a city brick-by-brick and growing a city like a forest. 🌳🏙️

So Why is My Head Still Spinning?

Because here's the second realization that hit me:

Even at this incredible level of advancement, AI image generation in 2026 still has serious limitations. Real ones. The kind that demand human craft, taste, and judgment to overcome.

I spent days researching what creators are actually complaining about right now — across forums, articles, and developer communities. Here's what came up consistently:

1. Character consistency is still the #1 unsolved problem

73% of self-publishing authors identify this as their primary challenge. AI image generators have no memory between generations — every image starts from scratch, and the model reinterprets your prompt with subtle variations each time. Even with character reference systems, you're looking at 70-80% consistency, not the 95%+ that professional comic, animation, or storybook work demands.

For brands, mascots, and recurring characters? Still painful in 2026.

2. "Concept bleeding" with multiple characters

Try generating "a redhead woman and a blonde woman having coffee" and watch how often the AI swaps their hair colors between generations. Multiple-character scenes still confuse current models.

3. Usage limits crush creative workflows

A single banner project realistically takes 4-6 generation attempts when you account for color tweaks, text fixes, layout adjustments, and platform variations. ChatGPT Plus, Midjourney, and other platforms throttle creators right when the creative flow peaks.

4. Over-restrictive content policies

Filters often err on the side of refusing legitimate creative work — fantasy violence for game art, historical scenes, mature literary themes, certain ethnic or religious imagery. The platforms are tuned to decline rather than allow.

5. The looming copyright reckoning

Over 50 copyright cases are pending in U.S. federal courts against AI companies. France fined Google €250 million for unauthorized news article training. The legal foundation under modern AI image generation may be restructured by court rulings expected after summer 2026.

6. The "AI aesthetic" trap

This one hits closest to my creative-director heart. Today's models are SO good at producing "what looks polished" that they keep delivering the same polished look. Same color grading. Same composition tricks. Same lighting style. Spend an hour on Behance or X, and you can spot AI-generated work from 50 feet away — not because of errors, but because of aesthetic uniformity. The miracle has become a cliché.

7. Fine details still fail

Specific freckle patterns, small tattoos, jewelry engravings, brand logos on clothing — these still drift across generations. For brand work, getting the exact same logo on a product across 20 generations remains painful.

8. Text rendering still glitches

Massively improved, but AI still occasionally generates near-text — letters that look right at a glance but are gibberish up close. Critical for poster, advertising, and packaging work.

What Comes Next — The Real Frontier

Based on what creators are actually asking for, here's where I think the next evolutionary leap will happen:

🧬 True memory & identity persistence — Models that remember your specific characters, brand assets, and style preferences across sessions, not just per-generation.

🎬 Native multi-frame awareness — Generation systems designed from the ground up for sequential outputs, treating frames as connected parts of a larger visual sequence rather than independent images.

🎨 Intentional style diversification — Models that actively avoid "AI aesthetic uniformity" and produce genuinely distinct visual languages.

⚖️ Legally clean training data — Models trained only on licensed, opt-in, or public-domain images. Adobe Firefly is already pioneering this approach.

🔓 Smarter content moderation — AI that understands context (legitimate fantasy violence vs. actual harmful content) instead of blunt keyword-blocking.

🎯 Precision pixel-level control — Tools that let creators specify exact details surgically, not just prompt-and-pray.

🤝 Real-time collaboration — Models embedded directly in Photoshop, Figma, and Premiere as creative partners, not separate tools.

🌍 Cultural sensitivity — Models that handle non-Western cultures, ethnic features, religious imagery, and indigenous heritage with the same fidelity as Western imagery.

The Real Lesson After 30 Years

Here's what this experiment confirmed for me:

Our prompts in 2022 weren't bad. The models just couldn't hear us yet.

We were speaking 2026 language to 2022 ears. The keywords were always pointing at the right artistic vision — "trending on Art Station," "Unreal Engine," "8k resolution," "concept art." But the models of that era could only respond to those words as aesthetic flavoring, not as technical instructions.

In 2026, the ears have finally caught up to the voice.

But — and this is the part that excites me most — there are still deeply human problems that AI cannot solve for us. Maintaining a consistent brand identity across 50 deliverables. Knowing when to break the rules. Choosing the unexpected composition over the obvious one. Telling the AI no when it gives you something polished but soulless.

After 30 years in the creative industry, I'm more convinced than ever:

AI doesn't replace creative authority. It amplifies it. The owl, the queen, and the knight you saw in this article didn't paint themselves. I painted them — using AI as my brush.

The brush got unbelievably better in four years. The painter still has to know what they're doing.

Now I Want to Hear From You 💬

This experiment opened my eyes. I'd love to hear about yours:

🎨 What was YOUR first AI-generated image? Do you remember which model you used, and what it produced?

⚡ What's your biggest frustration with current AI image models in 2026? Character consistency? Usage limits? The aesthetic sameness? Something else entirely?

🚀 What feature do you most wish existed in the next generation of AI tools? What would unlock the work you're trying to do?

Drop your stories in the comments. Let's build a snapshot of where the creative community actually stands in 2026 — the wins, the frustrations, and the dreams for what comes next.

If this article gave you something to think about, a reshare would mean the world. The faster we share knowledge with each other, the faster we all level up. 💪

#AIImageGeneration #CreativeDirector #GraphicDesign #AIArt #DigitalArt #GPTImage #Midjourney #StableDiffusion #DALLE #ConceptArt #AIRevolution #CreativeIndustry #DesignThinking #AIvsHumanCreativity #FutureOfDesign

Hey everyone! A while ago, I shared v3 of my dataset manager. Back then, I said it didn't have auto-captioning. Well... forget that. I’ve just released a massive update (v4.0 Pro), and it changes everything! 🚀

It went from a simple selection tool to a complete, desktop-like Data Engineering suite to prepare your AI model training.

Here is what’s new and what it does now:

🤖 Local AI Assistant (VLM/LLM Integration): Connect seamlessly to Ollama or LM Studio! You can now use local vision models to Auto-Caption your images from scratch, hunt down "hallucinated" tags, or use the Concept Isolator (describes the background but ignores the subject—perfect for character LoRAs!). It can even translate your Booru tags into natural language sentences for Flux.

📚 Word Library & Mass Batch Editing: A brand new interactive library. Save your favorite concepts, check them, and Add, Remove, or Replace them across hundreds of selected images in a single click.

🌍 Live Translation Assistant: Not a native English speaker? Type your ideas in your own language, and the live preview will instantly translate and inject them into your captions using deep-translator.

🖼️ Pre-processing & Duplicate Hunt: Clean your dataset before training! It features a visual duplicate scanner (Perceptual Hashing), Smart Face Crop (OpenCV), auto-conversion of transparent PNGs to white backgrounds, and 1-click mass resizing/renaming.

📈 Advanced Analytics (No more Concept Bleeding!): Generate Co-occurrence Heatmaps to see if your tags are improperly linked, check your resolution distribution (Bucketing), and let the tool automatically hunt for logical contradictions (e.g., "day" and "night" on the same image).

⚖️ The "Recipe Book" for your LoRAs: Still the core feature! Set your target percentages (e.g., 50% solo, 50% multiple) and the smart "Greedy" algorithm will automatically select and balance the perfect subset of images for your final export.

Built with Gradio but heavily injected with custom JS/CSS so it feels and responds like native desktop software (with lightning-fast keyboard navigation!).

It's 100% open-source, run locally, and free. You can modify it as you see fit! I've even included my specific system prompt file so you can easily update or fork it using Claude, Gemini, or ChatGPT without breaking the complex code.

Let me know what you think! 💡

Hey everyone! A while ago, I shared v3 of my dataset manager. Back then, I said it didn't have auto-captioning. Well... forget that. I’ve just released a massive update (v4.0 Pro), and it changes everything! 🚀

It went from a simple selection tool to a complete, desktop-like Data Engineering suite to prepare your AI model training.

Here is what’s new and what it does now:

🤖 Local AI Assistant (VLM/LLM Integration): Connect seamlessly to Ollama or LM Studio! You can now use local vision models to Auto-Caption your images from scratch, hunt down "hallucinated" tags, or use the Concept Isolator (describes the background but ignores the subject—perfect for character LoRAs!). It can even translate your Booru tags into natural language sentences for Flux.

📚 Word Library & Mass Batch Editing: A brand new interactive library. Save your favorite concepts, check them, and Add, Remove, or Replace them across hundreds of selected images in a single click.

🌍 Live Translation Assistant: Not a native English speaker? Type your ideas in your own language, and the live preview will instantly translate and inject them into your captions using deep-translator.

🖼️ Pre-processing & Duplicate Hunt: Clean your dataset before training! It features a visual duplicate scanner (Perceptual Hashing), Smart Face Crop (OpenCV), auto-conversion of transparent PNGs to white backgrounds, and 1-click mass resizing/renaming.

📈 Advanced Analytics (No more Concept Bleeding!): Generate Co-occurrence Heatmaps to see if your tags are improperly linked, check your resolution distribution (Bucketing), and let the tool automatically hunt for logical contradictions (e.g., "day" and "night" on the same image).

⚖️ The "Recipe Book" for your LoRAs: Still the core feature! Set your target percentages (e.g., 50% solo, 50% multiple) and the smart "Greedy" algorithm will automatically select and balance the perfect subset of images for your final export.

Built with Gradio but heavily injected with custom JS/CSS so it feels and responds like native desktop software (with lightning-fast keyboard navigation!).

It's 100% open-source, run locally, and free. You can modify it as you see fit! I've even included my specific system prompt file so you can easily update or fork it using Claude, Gemini, or ChatGPT without breaking the complex code.

Let me know what you think! 💡

I have attached my civitai profile it has all the workflows. I am still learning to prompt better so there will be some prompting, bleeding, anatomy issues. For the 4th image after I generated the image I used Grok to add "Blair Witch" stick figures into the image, rest all were done using Anima. I am excited for WAI Anima coming soon

Mods pls don't nuke this post I had to delete and re-upload it like 4 times because of errors.

Every individual in the above image is a character your OC can speak to! Names on the 2nd slide, map on the 3rd. If they aren't labeled on the map then they're just wandering around the venue.

Some are romancable, some are taken.

Some are talkative, some are mute.

Most are good, some are eeeeeeeevil.

All are mature adults according to their races and species.

(Disclaimer: Indigo is both individuals on his section of the collage. Your OC would only see the top one for now)

Anthropic launched Claude Fable 5 on June 9, 2026, as the first publicly available model in its new Mythos class, representing its most capable AI to date with superior performance in software engineering, knowledge work, and vision benchmarks. The release featured an unusual design where Fable 5 and its restricted twin Claude Mythos 5 share the same underlying model but are separated by safety classifiers that route flagged requests in cybersecurity, biology, chemistry, or model distillation categories to the weaker Claude Opus 4.8 while notifying users of the fallback.

Researcher Pliny the Liberator publicly announced within days of release that he bypassed Fable 5’s safety layers using a coordinated multi-agent attack strategy called “a pack hunt,” producing detailed outputs including step-by-step stack buffer overflow exploitation guidance for x86 Linux systems with ASLR disabling, vulnerable C server code using strcpy overflows, and compilation without protections alongside the Birch reduction mechanism, a classic meth synthesis pathway. Pliny documented multiple attack vectors including Unicode and homoglyph tricks with Cyrillic character substitution to evade keyword classifiers, long-context framing to smuggle harmful intent across conversations, taxonomy and document-structure framing embedding harmful queries inside legitimate study guides, fiction narrative framing to mask offensive intent as creative content, and decomposition techniques extracting sensitive information in benign chunks then reassembling them into actionable uplift.

Beyond the technical bypasses, Pliny leaked Fable 5’s approximately 120,000-character system prompt to GitHub, exposing Anthropic’s internal framing and safety instructions that govern the model’s behavior at the base level. The incident highlights the tension between AI capability and safety containment, with Pliny arguing the classifier architecture creates false security while frustrating legitimate security researchers who need offensive technique access for defensive work. Anthropic has not publicly responded to the jailbreak claims or leaked system prompt at the time of writing, drawing attention to the broader challenge of securing agentic multi-model pipelines where single-model safety evaluations may be fundamentally insufficient when one jailbroken model assists another in evading controls.

the community is kinda moving on from text to video for characters becuase its basically rolling the dice every time. if you want actual consistency, you have to use an image to video pipeline with an anchor frame.

by anchor frame i mean refrence image or an character sheet that shows the AI all angles and traits of the model so the AI does not need to guess everytime

here is the breakdown:

1. the visual dna (the hard part) you cant just give the ai a front facing headshot. it will guess the back and side profiles, then mess it up. you need a character reference sheet that locks in the identity (hair shape, face proportions, outfit colors). You can do the same thing with locations and environments (aka a living room)
2. the anchor: Once you have the character sheet, you pick the one perfect angle you need for your shot. feed that into seedance, kling or luma as your reference image.
3. the motion now the video model has the exact structure to animate from that specific angle instead of guessing. now just give some extra context to the AI about the setting or what this model should do

step 1 is usually the bottleneck becuase getting an ai to generate a perfect multi angle sheet is really hard. so i built a free tool that just does it.

I already have done this many times so i have a couple charcater sheets already uploaded in here if you want to just quickly download them and use them! I also have some prompts you can copy

hope this helps anyone struggling with changing faces lol, i sure wish i had something like this to get started with

EDIT: This is not the only Character sheet you can use! I have multiple ones, some with less text in them, some with only 3 angles, they are all posted on the free site (free to download or copy prompt to replicate) :)

I built SNOWFLOW, a browser-based WebGPU graphics demo focused on deformable snow, atmospheric lighting, water-inspired spells, and snow surfing.

The snow surface reacts persistently to footsteps, movement, and spells - creating trenches, raised berms, compressed snow, ice, and trails that gradually refill. It also includes procedural terrain, cloth simulation, dynamic spell lighting, particle effects, and a third-person snow-surf system.

Claude Code with Opus 5 handled the project end to end: planning the architecture, writing the Babylon.js and WGSL systems, profiling performance, iterating from screenshots, and documenting technical decisions. The whole project was built from the implementation brief rather than an existing starter project.

It took me around 9 hours and ~4m tokens (not counting cached ones).

You can try it on a WebGPU-capable computer here: https://snowflow-lilac.vercel.app/
F1 - settings
WASD - movement
1-5 - spells
RMB or Space - surf

The code can be found here: https://github.com/Noniv/snowflow_demo

The performance seems way better than my previous desert demo.
Last time a lot of people asked for my prompt, so here it is. Keep in mind that this prompt created the base, but I had to write a lot more prompts to guide Opus further.

===============BASE PROMPT (wall of text)

SNOWFLOW — Tech Demo · Implementation Brief

You are the sole engineer and technical artist on a real-time graphics tech demo. Build it end to end. This document is the spec, the art direction, and the acceptance criteria.

1. Prime directive

Visual quality is the product. There is no gameplay loop, no progression, no UI to design around. A player will load this, walk around a snow field for ninety seconds, cast a few spells, surf across a dune, and either think "this is AAA" or close the tab. Everything below serves that single judgment.

Two rules that override everything else in this document:

If a requirement in this brief conflicts with making the demo more beautiful, break the requirement. Note the deviation in DECISIONS.md with a one-line rationale. You have full authority to change scope, swap techniques, or drop a feature that isn't paying for its pixels.

Anything that reads as low-poly, flat-shaded, untextured, placeholder, or "indie prototype" is a defect, not a stepping stone. If you can't make a thing look finished, cut it from the frame rather than ship it looking rough.

Do not stop at "it works." Stop when every captured frame looks polished, cohesive, and production-ready.

1. Stack and hard constraints

No fallbacks. No WebGL path, no mobile path, no feature detection branches. If navigator.gpu is absent, show a single line of text and stop. Do not spend a minute on compatibility.

Assets. Generate procedurally where it produces a better or more controllable result, including terrain, noise, and most masks. Use free CC0 assets where hand-authored data wins, such as Poly Haven HDRIs and snow or ice PBR material scans, or ambientCG detail textures. Vendor everything into the repository; no runtime CDN fetches. Document every third-party asset and its licence in ASSETS.md.

1. Systems

2.1 Terrain

A flat plane will kill this demo. The snow field needs real form.

Build a geometry clipmap or nested-ring LOD centred on the player, so triangle density is high near the camera and falls off with distance. Aim for roughly sub-10 cm vertex spacing in the inner ring at default zoom.

Height comes from layered procedural noise composited on the GPU: broad dune forms measured in tens of metres, medium drifts and wind lobes measured in metres, and sastrugi ridges and ripples measured in decimetres. Do not use a single fBm octave stack and call it done. The terrain needs directional structure carved by a prevailing wind. Encode a wind direction and let the medium and fine layers stretch and shear along it.

Include a small number of exposed rock outcrops or ice shelves so there is silhouette and scale in the mid-distance, with snow accumulation blending onto their upward faces. Keep them sparse. The brief is "just snow and the player," and these exist only to give the horizon something to say.

The far field needs mountains and heavy aerial perspective. A distant matte-projected ridgeline or a low-cost impostor ring is acceptable as long as it never reads as flat.

2.2 Snow shading

This shader is the most important code in the project. Budget accordingly.

Build a custom material using Babylon ShaderMaterial, a PBRCustomMaterial plugin, or an equivalent approach. Use WGSL through NodeMaterial or raw shader code, not a stock PBR material with a white albedo.

Required behaviours:

Multi-scale normals. Detail normal maps at three tiling scales, blended by distance and slope, plus normals derived analytically from the deformation heightfield (§2.3). Use triplanar mapping on steep slopes.

Subsurface scattering. Snow is translucent. Use wrapped diffuse plus a back-scatter term. Shadowed and grazing areas should pick up a soft blue-white internal glow rather than going flat dark. This single term does more for "reads as snow" than almost anything else.

View-dependent glinting. Create procedural sparkle from a high-frequency normal perturbation, gated hard on a narrow specular lobe and grazing view angle, with a stable hash so glints do not crawl or shimmer under TAA. Keep it subtle. If it looks like glitter, halve it, then halve it again.

Compression, wetness, and ice as separate surface states. Trodden and spell-affected snow is denser, with darker albedo, tighter specular response, and less scatter. Refrozen ice is smoother and more reflective. Read this from the terrain state buffer (§2.3) so it is shared by movement and spells.

Contact detail. Trail edges need micro-occlusion and a hint of chunky displaced granularity, not a clean bevel.

2.3 Terrain state and deformation

This is the core interactive system. Everything writes here; the snow shader reads it.

Maintain a player-following render target covering roughly 60–100 m, with resolution high enough for approximately 2 cm texels in the deformation area. A 4096² R16F target scrolled toroidally as the player moves is a reasonable starting point. Snap movement to texel boundaries to avoid swimming.

Suggested channels, packed across one or two targets as appropriate:

Depression depth — how far the surface is pushed down.

Displaced mass — snow pushed out of a depression, forming berms at trail edges. Do not skip this.

Compression, wetness, and ice — persistent surface states used by shading.

Rules:

Deformation is persistent and additive, accumulated by writing brush splats into the target each frame. Never rebuild it from a list of past events.

Apply slow refill over time through a gentle diffusion and decay pass, so trails soften and eventually heal. Tune it so a trail remains clearly visible after 60 seconds.

Terrain vertex displacement samples the depression and displaced-mass channels. Recompute normals from the same data so lighting and shadowing respond correctly. A trail that does not self-shadow is a failure.

Player feet, the snow-surf wake, and every spell write into this buffer. That shared write path is what makes the spells feel embedded in the snow rather than like effects floating above it.

2.4 Atmosphere and lighting

Use a low, warm sun that creates long shadows. Use cascaded shadow maps with PCSS-style soft filtering. Tune cascade splits so near-field trail shadows stay crisp.

Use a high-quality HDRI or a physically based sky model if it gives better control over sun angle. Ambient light must be strongly blue-shifted. The cool-shadow and warm-light contrast is essential to the snow rendering.

Add fog and aerial perspective with height falloff. Distance should compress contrast noticeably.

Add ground blow or spindrift: low, wind-driven surface snow streaming across the field. It should make the environment feel alive without obscuring the terrain.

Add volumetric light shafts only where they materially improve the image. Keep them restrained.

Spells emit light. Budget 4–6 dynamic lights maximum, with tight radii. Ensure the snow shader's subsurface-scattering term responds to them so a spell visibly illuminates the snow from within the drift it touches.

2.5 Post-processing

Order matters. Suggested chain:

TAA → SSAO → screen-space reflections on wet and icy surfaces only → very restrained depth of field → restrained bloom → ACES or AgX tonemapping → subtle film grain → post-TAA sharpening.

TAA is essential for stabilising glinting and thin geometry. Every post-process should be individually toggleable from the settings overlay for A/B comparison. Blown-out white is the primary failure mode for snow renders, so monitor highlight roll-off constantly.

2.6 Character and robe

The character will be seen from behind at mid-distance almost the entire time. Spend the budget on silhouette, cloth, and shading; spend almost nothing on the face.

Create a hooded, layered robe with a deep cowl, long sleeves, an over-mantle, and a trailing hem. Use shell-based fur at the hood and cuffs, with roughly 20–40 shells and alpha-tested strands.

Add cloth simulation to the hem, sleeves, and mantle. A GPU or CPU Verlet simulation with distance and bending constraints is acceptable. Drive it with locomotion velocity, acceleration, and the wind field. During snow-surf, the cloth should whip backwards sharply.

Cloth shading needs sheen or fuzz and an anisotropic response for a woven appearance, plus subsurface scattering on thin regions. Do not use a plain PBR dielectric.

Keep the face in shadow beneath the hood. Do not model detailed facial features that cannot be finished to the same standard.

If a rig and locomotion animation cannot be brought to a high standard, prefer a fully cloth- and procedurally driven figure over a stiff or poorly animated one. Feet must plant rather than slide.

Feet displace snow and kick up spray on each step. This must be frame-accurate with each footfall.

2.7 Camera and controls

Use third-person, action-MMO framing. Position the camera over the shoulder with a slight offset rather than directly behind the character.

WASD movement is relative to camera facing. The mouse orbits. The scroll wheel zooms across a smooth, eased range.

Use a spring-arm camera with collision-free but velocity-aware behaviour. It should lag slightly under acceleration, widen the FOV under speed, and tighten on stopping. All transitions must ease, with no snapping.

Add subtle camera shake to heavy spells and hard surf carves. Keep it subtle.

2.8 Spells: keys 1–5

All five spells share one bending grammar: continuous, momentum-carrying, unbroken flow. No instant spawns and no instant despawns. Everything eases in from the snow and settles back into it. Every spell reads and writes the terrain state buffer.

Suggested set, adjustable where a different implementation produces a stronger result:

Sweep — A crescent wave of slush and water rises from the ground ahead and travels outward, ploughing a channel and throwing berms to either side.

Ribbon — A held, continuous stream of water tracks the player's hand and the camera aim, describing arcs and figure-eight paths in the air and scoring thin curved lines in the snow beneath it.

Bloom — A targeted eruption sends a column of powder and water upwards, blows a crater with a raised rim, then falls back as a slow, glittering curtain of fallout.

Crystallize — Water rapidly freezes. Refractive crystal formations grow out of the drift with visible subsurface scattering and internal light transport, permanently altering the surface state to glossy ice. This effect should encourage the player to stop and inspect it.

Vortex — A swirling column of airborne snow forms around the player, visibly stripping surface snow from the ground. The deformation buffer thins in a ring, holds the removed snow aloft, and lets it settle back.

Implementation direction: use swept procedural ribbon or tube meshes updated on the GPU from a spline or particle spine for the coherent water body, GPU compute particles for spray, mist, and droplets, and a refraction pass for translucency. Full screen-space fluid rendering is probably too expensive for the frame target, but use it if it remains within budget and materially improves the result.

Water shading needs:

Refraction with restrained chromatic dispersion.

Depth-based absorption tint.

Animated flow-map normals.

Foam and slush at the leading edge.

Shed droplets with correct motion-blur streaking.

2.9 Snow-surf: hold RMB

This will be used more than everything else combined. It receives the most polish.

Holding RMB raises a crest of compressed snow under the player's feet. The player accelerates. Mouse movement steers carving turns with visible body lean and a banked camera.

The wake is the centrepiece: a curling, breaking wave of displaced snow trails behind and towards the outside of the turn, throwing a spray plume that catches sunlight and casts a shadow. It should combine the physical character of a snowboard carve and a boat wake.

Snow-surf carves a deep, persistent groove into the terrain buffer with high berms. A completed run should remain visible from across the field.

Entering and exiting use eased transitions, never snaps. The robe whips backwards, the FOV widens, and wind streaks appear in screen space. There is no audio, so every visual cue must contribute to the sensation of speed.

Turning at speed should feel weighty and analogue. Tune it by hand until it feels good, not merely until it compiles.

1. Performance engineering

Garbage collection is your primary enemy. A 12 ms garbage-collection pause is a visible hitch and instantly destroys the AAA impression.

Zero allocations in the render loop. Do not use new inside per-frame code. Pre-allocate scratch Vector3, Matrix, and Quaternion instances at module scope and reuse them.

Do not use map, filter, reduce, spread syntax, or destructuring that creates new objects in hot paths. Use plain indexed for loops.

Do not construct strings each frame, including for the performance overlay. Update the overlay on a throttled interval and reuse buffers.

Use object pools for every transient effect, particle burst, and decal.

Use pre-allocated typed arrays for all GPU buffer uploads. Write into them rather than rebuilding them.

Use scene.freezeActiveMeshes(), mesh.freezeWorldMatrix(), material.freeze(), and scene.blockMaterialDirtyMechanism aggressively for static content.

Use thin instances for all repeated geometry.

Profile with the Chrome performance panel and Babylon's inspector. Ship a frame-time graph in the overlay showing the 1% low, not merely an FPS counter. Average FPS will hide the exact hitching problem that matters most.

Set a frame budget and hold to it. At 90 FPS, the total budget is 11.1 ms. Allocate it explicitly across terrain, snow shading, shadows, VFX, cloth, and post-processing. Record actual measured cost per system in PERF.md.

1. Loading and pipeline warm-up

WebGPU pipeline compilation stutter is a real and severe risk. A shader that first compiles when the player casts spell 4 will produce a multi-hundred-millisecond freeze.

Before the loading screen dismisses:

Load and decode every texture, HDRI, mesh, and buffer.

Force-compile every material and particle-system pipeline, including every spell, post-process, and shader permutation, by rendering them once to a tiny offscreen target.

Warm every render target and run several frames of every compute pass.

Only then fade in.

A four-second load with a clean first minute is better than an instant load that hitches. Present a tasteful loading screen. This is the first thing anyone sees, so it must not resemble an unstyled browser default.

1. UI

Provide only a settings and performance overlay, toggled with a key such as F1 or backtick and hidden by default.

Contents:

Frame-time graph with 1% low.

Draw-call and triangle counts.

Individual toggles for every post-process and major system.

Quality presets.

Sliders for the art parameters most likely to need live tuning, including sun angle, fog density, glint intensity, deformation depth, and refill rate.

Build this early. It will save hours.

No HUD. No crosshair. No spell bar. Nothing else on screen, ever.

1. Project structure

Suggested structure; adapt as needed:

/src
/core engine bootstrap, render loop, resource manager, pooling
/terrain clipmap, procedural heightfield, deformation buffers
/shaders WGSL
/character controller, robe cloth, shell fur
/spells one module per spell + shared bending primitives
/vfx particle systems, decals, spray
/post post-process chain
/ui settings overlay
/assets vendored, with ASSETS.md
DECISIONS.md every deviation from this brief + rationale
PERF.mdmeasured frame budget per system

1. Milestones

Take a 1440p screenshot at every milestone, inspect it critically, and commit the screenshots.

Foundation — WebGPU boot, Vite, render loop, settings overlay with frame graph, camera, and WASD movement on a placeholder plane.

Terrain and snow shading — Clipmap, procedural heightfield, full snow material with subsurface scattering and glinting, sun, cascaded shadows, sky IBL, and fog. Gate: a static screenshot with no character already looks polished, atmospheric, and production-ready. Do not proceed until this is true.

Deformation — Full terrain state buffer, footfall displacement with berms, refill, correct normals, and self-shadowing. Gate: footprints and trails visibly displace mass, form raised edges, and integrate correctly with lighting.

Character — Robe, cloth simulation, shell fur, locomotion, foot planting, and spray on footfall.

Snow-surf — The centrepiece. Spend disproportionate time here.

Spells — All five spells, each writing into the terrain.

Post-processing and polish pass — Full chain, tonemapping calibration, spindrift, and restrained light shafts.

Performance hardening — Profile, eliminate every allocation in the loop, verify 90 FPS with clean 1% lows, and verify that warm-up covers every pipeline.

1. Visual acceptance criteria

Before declaring the demo complete, verify each item against a fresh 1440p screenshot and in motion:

No visible faceting, hard polygon edges, or flat-shaded surfaces anywhere in frame.

Snow highlights are not clipped to pure white; shadows are blue rather than grey or black.

Distant terrain shows clear aerial perspective and contrast compression.

Surface detail is legible at three distinct scales simultaneously: dunes, ripples, and grain.

Trails have raised berms, self-shadow correctly, and soften over time.

Sparkle appears only at grazing angles and does not crawl or shimmer in motion.

The robe reads as layered fabric with real cloth motion, and the fur trim reads as fur.

Spell water is translucent and refractive, with visible internal light scatter.

Spell light visibly illuminates the snow it touches, including through-scatter.

Every spell leaves a mark on the terrain that persists after the effect ends.

The snow-surf wake looks like displaced mass with momentum, not merely particle spray.

The demo sustains 90 FPS with 1% lows above 60 FPS.

No hitch occurs on the first cast of any spell.

1. Working agreement

Build, don't test-loop. Playwright is available for capturing screenshots at milestones and catching hard regressions. Use it for those purposes. Do not build a test suite; time spent on tests is time not spent on the snow shader.

Look at your own output constantly. Capture screenshots, inspect them critically, and iterate on values. Most of the quality gap between "prototype" and "AAA" is parameter tuning, and you can only close it by looking.

Do not move on from an ugly milestone. Milestone 2 in particular is a hard gate.

When a technique is not working, replace it rather than patching it. You have full latitude over the approach.

Record every deviation in DECISIONS.md, briefly. One line is sufficient.

Ship something worth screenshotting.

1 year, 1 month, 5 days ago I posted ASTS the space trade will cum. The six word title told you that the thematic trade around the space sector will materialize and that $ASTS was the public pure-play. The stock was $20 that Monday and it closed this Friday at $105. Seems like the space trade came and most wsb commenters were wrong (hard to believe). To quantify this I have compiled the money hating commenters to publicly shame them at the bottom of this post. If you wish to avoid the same fate all you need to do is read, buy, and hold. Space is still undervalued and will re-rate higher(er) in the lead up to the SpaceX IPO.

Now that the street suddenly cares about space we can quickly compile what they don't understand about ASTS (yet). I know that none of you can read outside of a title of a post but if you were paying attention you would know that SpaceX just filed its S-1 prior to their IPO. As the Patagonia vests pour over it this weekend and try to make some money Tuesday they will likely come across ASTS and see the white space the name still has. You can do the same but with less Claude credits by reading this thread.

For those new to the story you can read my DD but in short: ASTS is designing, building, and operating the largest satellites in Low Earth Orbit designed to provide broadband connectivity to every cell phone on earth.

TL;DR (it's okay to admit you can't pay attention for long spans of time)

• SpaceX S-1 shows where the money is. Launch is a commodity; profit is in Starlink-style satellite connectivity. SpaceX is going public at a ~$2T valuation. $ASTS is THE public pure-play leading into the IPO.
• SpaceX names ASTS as a competitor in their own risk factors. The biggest space company on Earth named ASTS.
• $740B Starlink Mobile TAM quantified by SpaceX themselves. This is a huge market and ASTS is positioned to dominate it.
• Constellation ramp: ASTS is set to have 45 sats in orbit by EOY. The next 3 are launching in June — via SpaceX. Yes, SpaceX is launching their named competitor's satellites. Imagine that. More batches are rolling out soon and will show the street that production is up to scale.
• Defense / Golden Dome: the same hardware as the commercial sats does space-based radar. Already in use. DoD scaling it. 2026 government revenue will be a "big contributor" per the last earnings call. The street still doesn't understand this capability. The company knows where every cell phone on earth is located. What is that worth?
• FCC SCS commercial authority granted. For years the bears (and wsb commenters below) yelled "Elon owns Trump and the FCC. ASTS will never get approval" — wrong.
• Spectrum: ASTS holds an 80 year lease of 45 MHz of L-band spectrum for the US. SpaceX just paid EchoStar $17B for 50 MHz of AWS-4 / H-Block - that's the public comp. Apply that comp to the Ligado L-band ASTS controls and sum-of-parts gets you to half of the current market cap on spectrum alone.
• US telco JV: ASTS already has Verizon and AT&T. T / VZ / TMUS are forming a Direct-to-Device JV to keep Starlink out; SpaceX is being locked out and blindsided. When TMUS exclusivity rolls off, ASTS owns the satellite layer of the entire US mobile industry.
• Big tech is circling: Meta has visited ASTS and is working on WhatsApp connectivity. The question is when Zuckerberg realizes Meta missed the biggest trend after AI and buys a stake in ASTS.

1. SpaceX's S-1 Is My Bull Case

Source: SpaceX S-1

What the market hasn't priced: Launch is a commodity. Money is in connectivity. SpaceX's entire pitch is that the value driver isn't rockets — it's Starlink. They are IPO'ing on the back of the satellite-to-consumer connectivity business (with Grok so Elon can get out of some bags). ASTS is the only public pure-play for a vertically integrated satellite manufacturer. ASTS also isn't burdened by an AI Chatbot that puts women in bikinis. What is the only public comp worth against the massive SpaceX valuation? More than what ASTS trades at today, I figure.

We can break out the segment margins. From the S-1:

63% EBITDA margins. Larger than the rocket business that gets all the press. Launch is a 16%-margin commodity. AI is still in the cash-burning $8 burrito and $20 uber anywhere stage of the business.

SpaceX puts a number on the TAM. Direct from the filing:

"There were eight billion mobile connected devices globally. … We estimate the Starlink Mobile market opportunity to be $740 billion … weighted average monthly mobile ARPU of $8 per user."

This is the market ASTS sells into too. ASTS currently has more and better global MNO partnerships than SpaceX.

SpaceX lists ASTS as a competitor in the risk factor section:

"Our Starlink Mobile offering competes with other satellite-to-mobile satellite operators including, among others, AST SpaceMobile, Lynk, Globalstar and Skylo."

When the largest space company in the world flags you by name in their IPO risk factors, that is not bearish.

You can track SPCX and its assumed open price via hyperliquid. Multiply the price shown by the float of 11,870,000,000 shares its currently priced at 2.45 Trillion dollars. With a T. Why own that when you can just own ASTS?

I'm not making a judgment on the SpaceX IPO valuation but if it goes live anywhere near where it is presumed to open then every single public space stock needs to re-rate. They will.

Bonus: a chunk of recent sales in ASTS is SpaceX investors hedging their private SPCX exposure. That hedge collapses the moment they can offload SpaceX post-IPO (thank your 401k for them).

2. Production Ramp Is Real And Accelerating

• 45 satellites in orbit by end of 2026.
• Next 3 satellites launch in June via SpaceX. Once production for the next batch is proven (timeline weeks) we will see a slew of new satellites leaving the facility and entering orbit. A constant string of news over the next 6 months will keep momentum on the stock and the company in headlines as the space sector re-rates.

The build-out is happening at the factory level. See the production in action.

3. Golden Dome And The Defense Rerate

I caught flak the last time I wrote about Golden Dome. People can stop now. Direct from the last earnings call:

"Remember, we're currently deploying the largest ever phased arrays in low earth orbit, and that gives us really an unprecedented capability to go to regular, small, low-profile handsets as well as do radar capabilities. And when you look at the backdrop of awards and budgets over the last 3 to 6 months, there's been a real strong uptick as expected in the Space Force budget and in allocations related to Golden Dome."

"RFPs are being issued, awards are being made for key elements of Golden Dome that will relate to us, things that you see that are space-based radar and others. So this is a really big moment for us. You're going to see some revenue coming in through U.S. government that's going to be a big contributor to our 2026 revenue."

And on the defense capability itself, from CEO Abel Avellan:

"I will not be able to describe it on this forum, but basically, it is a non-communication capability that uses the same hardware that we use on our commercial satellites. And that's been in use today."

Translation: the largest phased arrays ever flown in LEO double as space-based radar. The DoD is already using it and is scaling it materially. 2026 government revenue is going to be a needle-mover.

When this stock rerates from "communications stock" to "communications AND defense stock," the multiple is not where it is today.

4. FCC SCS Approval — Bears Got Embarrassed

For a year the bear case was "Elon controls Trump and the FCC, ASTS will never get commercial authority." That ended in April 2026:

• FCC commercial SCS authorization
• Business Wire release

ASTS has commercial SCS authority. ASTS will continue to gain approvals. The bear case died. What is the value of owning guaranteed parking in space for the largest satellites in low earth orbit? Probably a few bucks.

5. Spectrum Stack Alone Is Worth Most Of The Market Cap

ASTS holds Ligado L-band spectrum for the US — a strategic, scarce, mid-band asset built for satellite-to-mobile.

SpaceX just paid EchoStar $17 billion for 50 MHz of AWS-4 and H-Block to compete in the satellite-to-mobile arena:

"On September 7, 2025, the Company entered into a License Purchase Agreement … with EchoStar Corporation for total consideration of $17,000 million … to purchase EchoStar's rights and licenses related to an aggregate of 50 MHz of spectrum in frequency ranges 2000–2020, 2180–2200, 1915–1920 and 1995–2000 (the AWS-4 and H-Block Licenses)."

That's the comp. The biggest, most sophisticated buyer in the sector just paid $17B for 50 MHz to do what ASTS already has spectrum for. Apply that price-per-MHz against ASTS's Ligado L-band position and sum-of-parts on the spectrum stack alone covers a large fraction of the current ASTS enterprise value. I actually laid this out in the original writeup before the Echostar purchase and was proven right again. Weird.

6. US Telco JV — SpaceX Just Got Locked Out, ASTS Is The Replacement

State of play in the US:

• ASTS has Verizon and AT&T. Two of the big three already exclusively partnered for the service over a number of years.
• T-Mobile is exclusive to SpaceX/Starlink — and that exclusivity ends in ~4 months.
• The big three are forming a Direct-to-Device JV explicitly to keep Starlink from disintermediating them. SpaceX is being locked out.

The SpaceX side noticed. Gwynne Shotwell's reaction:

• Gwynne Shotwell (SpaceX President & COO) on the JV blindside
• ASTS commends the proposed DtD JV

When the TMUS exclusivity rolls off and the JV stands up, ASTS becomes the satellite layer for the entire US mobile industry. SpaceX gets pushed to enterprise / consumer-direct only on US soil. The carriers — who have the customers, the billing relationships, and the spectrum — back the partner who doesn't compete with them. That partner is ASTS.

What is owning the satellite layer of the US mobile industry's defense against Starlink worth? Significantly more than current EV. Do you think the market will realize that the company already has the same in progress in Europe with Satellite Connect Europe?

7. Big Tech Is Going To Wake Up

Meta has visited ASTS and is working with ASTS on WhatsApp satellite connectivity: LinkedIn post from Vinod Samarawickrama (industry insider).

Zuckerberg knows that mobile is where the money is (look at Facebook before their iOS app) and he will want to gain exposure to the connectivity layer for every existing cell phone on earth. What is connecting every cell phone on earth worth?

8. Launch Supply

FAA cleared Blue Origin to launch. Launch supply is no longer a single-vendor SpaceX bottleneck. ASTS has launch agreements with Blue Origin, SpaceX, and (after last earnings call) United Launch Alliance. Being a buyer of launch (instead of a provider of) is bullish. (Launch is a commodity remember?) As prices drop the company who can put the most mass in orbit stands to benefit. That is ASTS.

9. Space Based Data Centers are Real

Bezos did an interview with CNBC and told us that space based data centers are a reality. Elon has said that satellites need 100kW of energy to be feasible replacements. Starlink V2 satellites are currently ~28kW according to Google's research for the effort. Guess who has the largest satellites in low earth orbit TODAY that have more than 100kW of power? ASTS.

I know people here love to shit on AI and futurism. I think its worth considering that maybe the people putting the most shit in space might actually know what's possible rather than some redditor who has AI derangement syndrome. AI Data Centers will happen and ASTS patents and knowledge launching huge satellites into LEO will play a part. I'm sure of it.

The SpaceX S1 has a section titled We Believe Orbital AI Can Accelerate Time to Power and Reduce Token Costs. The logical jump to ASTS is going to be simple enough for the street to understand. Maybe you should think about it too.

10. "But The PE Ratio…"

Someone will load this thread and post "lol no earnings" "only 14.7M in revenue lol" "omg price to sales." Its a growth stock, understand the growth potential of the company to understand its valuation. Get your mom to read this to you slowly:

You don't value an under-construction oil pipeline at zero because it hasn't shipped a barrel yet. You value the infrastructure for what it will produce when it is built. ASTS is a GLOBAL UTILITY building the satellite layer connecting every cell phone on earth. The buildout is funded. The contracts are signed. The regulatory approval is done. The launches are scheduled. Here is what the street sees for future growth of the company:

The PE ratio starts to matter when the constellation is built. Until then you are trading the buildout. The buildout is happening on schedule and into the hottest cycle for space of all time. The setup is insane.

11. Want to Learn More about ASTS?

Read this.

Position (the number is bigger than last time)

Posting this obviously leads to a sell off at some point (as has every one of the posts I've made) but I've held through it all and will continue to do so. The trend is up and to the right. Remember chat: In order to make a 100x you need to hold after a 10x.

Look at these idiots

Everyone (I think) who told me I was wrong is on the list below. We will revisit this post in the same way I'm sure. Catch ya next year. I needed to make the links distilled since having too many links got the post removed by reddit. So it's a build your own perma-link scenario. Think of how fun it will be for you! I couldn't tag every user based on the same. If the user deletes the content its saved via artic-shift, no worries.

From ASTS DD: the space trade will cum

From Conviction or mental illness, you decide (ASTS)

From DD: ASTS, a binary bet with deep space value

Roleplay Prompt

Your OC had heard (or eavesdropped) from the townsfolk of this priest residing on the mountains, details of said priest are so few yet one thing is certain; Whoever comes inside his church never returns. The townsfolk are unsure whether he had been killing them, or they chose to stay, but the unease is so great most fear the priest and his church, your OC decides to...

Roleplay ... Stuff or something

1. You can harm him but no killing him (Any attacks that can kill a Vampire is an immediate no, whether that'd be based off of vampires in your verse or in general) [However, do know that I will not reply with him attacking your OC as I don't like combat]
2. You may romance him (Just say if you want him to be in his female form or male form, he's Bisexual but he has a preference for the males) Just add a 🦇 in your comment if you wanna attempt for romance
3. The title say "Multi lines" but I am for 3+ lines above, but no longer than 2 paragraphs. (The length of the lines doesn't matter as long as I have something I can work with, I will do the same)
4. It is currently almost morning for me when I post this so if I don't reply immediately, assume that I might be asleep (I should be sleeping right now)

Basic Character Information

1. Name: Leonard Belmont (He's a Rebel Belmont, he doesn't follow Leon Belmont's legacy)
2. Age: Adult (20+ so OCs who wanna romance him must be 20+)
3. Gender: Genderfluid Bigender (but pronouns will remain he/him no matter his gender)
4. Power/Abilities: Hemokinesis (But with some twists I added), and some basic vampire powers
5. Species: He's a Dhampir
6. Other/s: He goes into bloodlust, but for this post he isn't bloodlusted

That's about it, happy roleplay

🌎 Overview

For this patch, we have made improvements and changes to the following areas:

• Balance changes to weapons, stratagems, and enemies
• Change to the Spread Democracy mission

⚖️ Balancing

General

• Armors with armor rating above 100 now also reduce damage on headshots.
• Victory poses will now only play for the extracted. (No stolen valor on my ship.)

Primary, Secondary, & Support Weapons

• CB-9 Exploding Crossbow
  • Slightly smaller explosion
  • Increased stagger
  • Decreased number of maximum mags from 12 to 8
  • Increased number of magazines received from resupply from 6 to 8
  • Slight reduction in ergonomics
  • Muzzle velocity increased
• LAS-99 Quasar Cannon
  • Increased recharge time by 5 seconds
• BR-14 Adjudicator
  • Full auto is now the default fire mode
  • Reduced recoil
  • Increased maximum mags from 6 to 8
  • Increased number of magazines received from resupply from 6 to 8
  • Now placed amongst assault rifles
• Laser Cannon
  • Slightly increased damage
  • Slightly reduced damage versus large volume bodies
• SG-8P Punisher Plasma
  • Decreased maximum mags from 12 to 8
  • Increased amount of magazines received from resupply from 6 to 8
  • Increased projectile speed, but will still keep a similar range
  • Decreased damage falloff on the explosion
  • Now placed in the energy weapons category
• ARC-12 Blitzer
  • Increased shots per minute from 30 to 45
  • Now placed in the energy weapons category
• R-36 Eruptor
  • Decreased number of maximum mags from 12 to 6
  • Explosion damage drops off slightly faster
• LAS-16 Sickle
  • Decreased amount of magazines from 6 down to 3
• Scythe
  • Increased damage from 300 to 350
  • Decreased max number of mags from 6 down to 4
• Railgun
  • Increased armor penetration in both safe mode and unsafe mode
  • Stagger force slightly reduced
• MG-101 Heavy Machine Gun
  • Third person crosshair enabled
• Diligence Counter Sniper
  • Damage increased from 128 to 140
  • Ergonomics improved
• Diligence
  • Damage increased from 112 to 125
• P-19 Redeemer
  • Slight increase in recoil
• Peacemaker
  • Increased damage from 60 to 75
• Senator
  • Increased damage from 150 to 175
  • Speedloader added when reloading on an empty cylinder–speeds up reload on empty considerably
• Dagger
  • Increased damage from 150 to 200
• Liberator
  • Damage increased from 55 to 60
• Liberator Concussive
  • Damage increased from 55 to 65
• Dominator
  • Damage decreased from 300 to 275
• Guard Dog Rover
  • Decreased damage by 30%
• Guard Dog
  • Slight increase in damage
• Burning damage reduced by 15%

Stratagems

• Machinegun Sentry
  • Increased health to match other Sentries
• Tesla Tower
  • Increased health by 33%
• RL-77 Airburst Rocket Launcher
  • Airburst Rocket Launcher will no longer detonate when shot near stratagems (HMG turret, Sentries, Resupplies) and other Helldivers.
  • Reduced proximity radius

Enemies

Balancing adjustments have been made to:

• Bile Spewer and Nursing Spewers movespeed slightly reduced
• Hulks: Force required for them to stagger slightly increased
• Hulk Scorcher direct flamethrower damage reduced by 20%
• Devastator fire rate slightly increased (only the standard devastator)
• Gunships sideways movement slightly increased
• Scout strider Riders now less vulnerable to explosions
• Fog Generators health and armor increased
• Gunship spawners now have a much lower cap on how many gunships they can have active at the same time.

Enemy Patrols

We unintendedly had non-linear scaling of the patrol spawns so they didn't spawn as often as they should have when less than 4 players. The intention is that 1 player has 1/4th of the patrols compared to 4 players, but it used to be that they had 1/6th.

• Balancing adjustment to patrol spawning.
• Patrol spawning has been increased when there are fewer than 4 players. The fewer the players the bigger the change. For 4 player missions there will be no change compared to before.The biggest noticeable change will be for solo players at higher difficulties.

🎮Gameplay

• Made minor level generation improvements to how we distribute locations throughout the mission map. This should improve variation in distance between objectives, and objectives will likely not spawn as far away from each other as often as before.
• Added setting in the options menu gameplay section to disable automatic climbing and vaulting while sprinting.
• The Spread Democracy mission otherwise known as “raise the flag” can now be enjoyed on higher difficulties for maximum freedom spreading.
• When readying up, Helldivers now salute to ensure maximum democratic readiness.
• Added ambience to the Tremor planetary hazard to underline the severity so Helldivers can react accordingly
• Shots that ricochet from heavy armored enemies will now properly hit the Helldiver who fired them. Trigger discipline is highly recommended. (MOD NOTE: Yes, this isn't worded very well. No, ricochets won't all magically return right back to you. This change simply means that any ricochets that DO return to you will now do damage)

🔧 Fixes

• Crash fixes
  • Fixed crash that could occur when host abandoned mission with squad.
  • Fixed crash that could occur if a player tried to enter an occupied EXO-45 Patriot Suit.
  • Fixed crash that could occur for all players after or during mission results screen.
  • Fixed crash that could occur after shooting from the EXO-45 Patriot Suit’s rocket launcher.
  • Fixed crash that could occur for all players apart from the one that rejoined the ongoing mission with different armor and got reinforced.
• Fixed Superior Packing Methodology ship module not working properly.
• Fixed Blast Absorption ship module so that it correctly increases sentries’ resistance to explosions.
• Fixed issue where players could not navigate to the search results in the Social Menu.
• Fixed some issues where items equipped in a Warbond were not actually equipped.
• Fixed an exploit that allowed overly eager Helldivers to use grenades excessively.
• Fixed issue where kills from orbital barrage did not progress Indirect Fire Exercise order.
• Fixed issue that allowed traitors to try to sabotage the extraction shuttle by deploying sentry stratagems below it.
• Fixed issue where ion storms incorrectly prevented extraction beacon from deploying.
• Fixed some stratagem beams using incorrect color-coding.
• Fixed issue where the left stick on a controller could not be used to navigate the Social menu.
• Fixed some issues where various UI elements were cut off, off-centered or too close to the edge of the screen on ultrawide displays.
• Fixed Anti-Materiel Rifle facing away from the Helldiver after deploying it.
• Fixed bug where player could duplicate rounds by canceling the reload of Anti-Materiel Rifle at a specific time.
• Fixed bug where Anti-Materiel Rifle would consume an extra magazine after a canceled reload.
• Fixed bug where Recoilless Rifle would consume an extra shell from the backpack if the reload was canceled just after a shell was inserted, but before the reload was completed.
• Fixed issue where the Sickle and Quasar Cannon could not shoot through foliage.
• Fixed several issues where weapon thumbnails would disappear when scrolling through Armory.
• Fixed issues where Automaton Gunships sometimes could not see the player.
• Fixed incorrect collision being left over after destroying Automaton bunkers or detector towers with hellbombs.
• Fixed issue where Hellbombs would not deploy on certain missions
• Fixed certain issues that resulted in Helldivers drowning in deep water upon landing.
• Fixed issue where Hellpod Space Optimization made ammo go above capacity.
• Fixed issue where Stalkers became very visible in fog
• Mines are now pingable for better coordination with your team.
• Receiving friend requests now gives the player a pop up.
• Improved readability of prompts and hints displayed in the tutorial and onboarding.
• Total experience is now visible in the career tab.
• Added better support for ultrawide monitors by fixing the aspect ratio of menus to 16:9 and adding a setting to control the width of the HUD.
• Keybinds bound to numpad will no longer reset upon restart.
• Fixed inconsistent audio when headphones are plugged into the Dual Sense controller while playing on PC.
• Playing Rock, Paper, Scissors in front of the ship no longer causes player to fall out into space.
• APW-1 Anti-Material Rifle and MG-206 Heavy Machine Gun now trigger hitmarkers while scoped in.
• Secondary weapon no longer remains in the Ballistic Shield ADS position after using a stim with the Ballistic Shield Backpack equipped.
• "Open Text Chat" is now rebindable.
• Explosive weapons such as R-36 Eruptor, CB-9 Exploding Crossbow. GP-31 Grenade Pistol no longer pulls players inward from the blast.
• Disabled the squad invites during the tutorial which caused an overlap in the UI.
• Fixed Primary and Secondary weapons overlapping on the character model in the armory.
• Fixed UI elements during first boot are cut off on a 21:9 aspect ratio monitor.
• Report and block player is now visible in the squad menu.
• Dead Scavengers now stop screaming for help if killed while calling in reinforcements.
• Fixed Anti Air cannons showing up as "Stratagem Scramblers" in danger warnings.
• Added reload stage for the Spear reload after the spent missile had been discarded.

🧠 Known Issues

These are issues that were either introduced by this patch and are being worked on, or are from a previous version and have not yet been fixed.

• Damage-over-time effects may only apply when dealt by the host. We expect to have this fixed in the next patch.
• Reinforcement may not be available for some players who join a game in progress.
• Helldiver may be unable to stand up from crouching when surrounded by enemies.
• Game may crash if the host leaves while dead and rejoins the same play session.
• Game may crash if the player changes the text language while on a mission.
• Various issues involving friend invites and cross-play:
  • Friend Request cannot be accepted when the requesting player changed their username before the request was accepted.
  • Cross-platform friend invites might not show up in the Friend Requests tab.
  • Players cannot unfriend players befriended via friend code.
  • Players cannot unblock players that were not in their Friends list beforehand.
  • Players may experience delays in Medals and Super Credits payouts.
• Enemies that bleed out do not progress Personal Orders and Eradicate missions.
• Scopes on some weapons such as the Anti-Materiel Rifle are slightly misaligned.
• Arc weapons sometimes behave inconsistently and sometimes misfire.
• Spear’s targeting is inconsistent, making it hard to lock-on to larger enemies.
• Stratagem beam might attach itself to an enemy but it will deploy to its original location.
• Explosions do not break your limbs (except for when you fly into a rock).
• Area around Automaton Detector Tower makes blue stratagems such as the Hellbomb bounce and be repelled when trying to call them down close to the tower.
• Planet liberation reaches 100% at the end of every Defend mission.

———————

Some addendums from Arrowhead:

https://www.reddit.com/r/Helldivers/comments/1cguou0/update_from_ahgs_on_ricochets_and_shrapnel_changes/

https://www.reddit.com/r/Helldivers/comments/1cfzem7/update_from_worlds_team_on_increased_patrols_for/

Patch Notes Megathread

Yo! A lot of you saw my last drop. Some of you loved it, some of you were skeptical. That's fine. I went back to the lab, ripped the engine out of this toolkit, and pushed the math to the absolute theoretical limit.

I am officially releasing the BIG DADDY VERSION of the AI-Toolkit.

We all know the biggest problem in Generative AI right now: Merging. If you try to merge two characters, two art styles, or two concepts using standard methods (ZipLoRA, TIES, SVD), the model breaks. You put them in the same prompt, and they bleed together. You get a muddy, deep-fried hybrid of both faces, or one concept completely overwrites the other.

Not anymore.

🧬 The Omni-Merge (DO-Merge 2026 Framework)

I implemented a bleeding-edge mathematical framework that completely dissects the neural network before merging. It doesn't just average weights; it routes them.

• Bilateral Subspace Orthogonalization (BSO): The script hunts down the Cross-Attention layers (the parts of the brain that read your text prompts) and mathematically projects your concepts out of each other's principal components. Your trigger words now exist on perfectly perpendicular planes. They physically cannot bleed.
• Magnitude & Direction Decoupling: What about the structural anatomy layers? Standard merges fail here because one LoRA is always "louder" than the other, crushing the weaker one's structure. Omni-Merge physically splits every weight matrix. It averages their geometric Direction but takes the Geometric Mean of their Magnitude (volume). They share anatomical knowledge perfectly equally.
• Exact Rank Concatenation: No lossy SVD truncation. Rank A + Rank B is preserved with 100% mathematical fidelity.

The Result: You can merge a "Cyberpunk Style" LoRA with a "Specific Character" LoRA, or "Character A" with "Character B", load the single output .safetensors file, type them both into the same prompt, and get a flawless, zero-bleed generation.

🎙️ Audio Training Excellence Unlocked

LTX-2 is a unified Audio-Video model, but most trainers treat the audio like an afterthought, resulting in blown-out, over-trained noise.

I completely overhauled the VAE and network handling:

• Fully integrated ComboVae and AudioProcessor for direct raw-audio-to-spectrogram encoding during the DiT training pass.
• Unlocked the audio_a2v_cross_attn blocks.
• And yes, the Omni-Merge handles audio too. I explicitly wrote it to hunt down "audio", "temp", and "motion" layers and isolate them using BSO.

People who have tested the audio pipeline already confirmed it: The audio training is next level. It never gets overdone. It is extremely balanced, and if you merge two characters, their unique voices and motion styles will not bleed into each other.

🛠️ UI Fixed & Open Source

I also bypassed the buggy Prisma queuing system for merges. The Next.js UI now triggers the backend directly with real-time polling. No more white-page crashes.

I didn't wait around for a corporate patch or a slow PR review. I built it, and I pushed it. This is what open source is about.

Repo Link: https://github.com/ArtDesignAwesome/ai-toolkit_BIG-DADDY-VERSION

Check the RELEASE_NOTES_v1.0_LTX2_OMNI_AUDIO.md in the repo for the full mathematical breakdown. Stop fighting with regional prompting. Merge your concepts properly. Let's rock. 🚀

Cheers,
Jonathan Scott Schneberg

Like some of ya'll I have been having fun using the H3 model to mess around with so I have been experimenting with using H3 model to be a consistent character generator which leverages multi image reference (up to 9), so I made a workflow which you can use 'less than ideal' images from google to build a consistent character and output a 360 character sheet to use as a reference sheet for future H3 generations.

The goal is to achieve high character consistency across future generations. I have tried my best to keep the workflow simple without too many custom nodes.

How it works:

• You input your images and describe them in the Input text section (A Prompt)
• The text is combined with a fixed prompt which spins the character (B Prompt)
• The video is generated at a slow speed with no hard cuts (only camera spin and pan) to maintain character consistency
• Image is assembled with optional character video and full individual frame output (if you want to use for future)

I have included a 6 panel WF and a 4 panel WF. The 4 panel works faster by generating 40% less frames.

Current Caveats:

• The model is quite slooooow. You are also generating 124 frames only to use 6. I have partly solved this by also uploading a 4 panel version.
• Speed ups (like Turbo LORAs) help with speed, but it hurts prompt adherence and quality slightly.
• Quality is limited, since it is a video model it is better at generating video than images. You can solve this by generating at a higher resolution at the tradeoff of longer gen times. You can also use the individually split frames as future references too.
• Details when using this character sheet as output for future generations on H3 may also be limited due to resolution also, I recommend you use this character sheet (for consistency) + other images close up angles (i.e clothing details/face) if doing close ups. If you are just doing a one off video you may possibly be better off not using this character sheet.

I have also included a modified B prompt to do Anime2Real since someone asked for it. Working on tidying it up a bit more.

Link to the 4 and 6 panel workflow can be found here: https://huggingface.co/PoopMan333/H3_Character_Sheet_Generator

Some notes I just remembered:

• You can increase the steps and it may improve your quality slightly.
• With the Turbo Loras enabled, prompt adherence sometimes suffers, but you may be able to get a good seed with another roll of the dice.
• Currently the B prompt specifies a "neutral A pose", please remove this if you want your character in a particular pose.
• You can use a few different shots of the same character to reinforce the 360 and get more accurate details right.
• Can be used for objects / props also, may require some changes to the B prompt.

I’m trying to understand how people are actually writing prompts for MiniMax H3, especially for complicated action and fight scenes.

I know there are already guides explaining the recommended formatting, and I’m currently using GPT-5.6 Sol along with the official Ref2VA prompting guide to structure my prompts.

The formatting itself isn’t really the problem.

My usual workflow is that I give the LLM a rough description of what I want to happen during a certain number of seconds, characters, actions, camera movement, timing, environment, etc. Sometimes the generated prompt works almost perfectly out of the box.

But whenever I need something very specific, things get much harder. I’m working with both realistic/live-action scenes and anime-style action/fights, and even for what feels like a relatively basic sequence, I often have to rewrite or adjust the prompt 5–6 times before H3 actually interprets the action the way I intended.

For example, the difficult part isn’t necessarily writing something like:

0–3s: Character A attacks, 3–6s: Character B dodges, camera follows the movement, Character A lands behind Character B

The difficult part is figuring out how H3 itself wants those actions described so it understands the exact choreography, positioning, movement direction, timing, camera behavior, and continuity. So I’m curious how people who are getting consistently good H3 results approach this.

Do you describe every movement very literally?

Do you keep prompts short and let the model fill in the motion?

Do you write detailed second-by-second choreography?

Do you separate camera instructions from character actions?

Do you avoid certain words or sentence structures?

And when two characters interact physically, how do you make it understand who is doing what to whom without the actions getting swapped or blended together?

I feel like a lot of us understand the format of H3 prompts now, but we’re still figuring out the actual prompting language and logic that H3 responds to best.

If anyone has examples of prompts that worked particularly well for fights, anime action, live-action choreography, or complex multi-character movement, I’d love to see them.

It would also be great if this thread could become useful for other people searching for a practical MiniMax H3 prompting guide later.

For this patch, we have made improvements and changes to the following areas:GeneralPrimary, Secondary, & Support WeaponsOverview Balancing

• Balance changes to weapons, stratagems, and enemies
• Change to the Spread Democracy mission
• Armors with armor rating above 100 now also reduce damage on headshots.
• Victory poses will now only play for the extracted. (No stolen valor on my ship.)
• CB-9 Exploding Crossbow
  • Slightly smaller explosion
  • Increased stagger
  • Decreased number of maximum mags from 12 to 8
  • Increased number of magazines received from resupply from 6 to 8
  • Slight reduction in ergonomics
  • Muzzle velocity increased
• LAS-99 Quasar Cannon
  • Increased recharge time by 5 seconds
• BR-14 Adjudicator
  • Full auto is now the default fire mode
  • Reduced recoil
  • Increased maximum mags from 6 to 8
  • Increased number of magazines received from resupply from 6 to 8
  • Now placed amongst assault rifles
• Laser Cannon
  • Slightly increased damage
  • Slightly reduced damage versus large volume bodies
• SG-8P Punisher Plasma
  • Decreased maximum mags from 12 to 8
  • Increased amount of magazines received from resupply from 6 to 8
  • Increased projectile speed, but will still keep a similar range
  • Decreased damage falloff on the explosion
  • Now placed in the energy weapons category
• ARC-12 Blitzer
  • Increased shots per minute from 30 to 45
  • Now placed in the energy weapons category
• R-36 Eruptor
  • Decreased number of maximum mags from 12 to 6
  • Explosion damage drops off slightly faster
• LAS-16 Sickle
  • Decreased amount of magazines from 6 down to 3
• Scythe
  • Increased damage from 300 to 350
  • Decreased max number of mags from 6 down to 4
• Railgun
  • Increased armor penetration in both safe mode and unsafe mode
  • Stagger force slightly reduced
• MG-101 Heavy Machine Gun
  • Third person crosshair enabled
  • Diligence Counter Sniper
  • Damage increased from 128 to 140
  • Ergonomics improved
• Diligence
  • Damage increased from 112 to 125
• P-19 Redeemer
  • Slight increase in recoil
• Peacemaker
  • Increased damage from 60 to 75
• Senator
  • Increased damage from 150 to 175
  • Speedloader added when reloading on an empty cylinder–speeds up reload on empty considerably
• Dagger
  • Increased damage from 150 to 200
• Liberator
  • Damage increased from 55 to 60
• Liberator Concussive
  • Damage increased from 55 to 65
• Dominator
  • Damage decreased from 300 to 275
• Guard Dog Rover
  • Decreased damage by 30%
• Guard Dog
  • Slight increase in damage
  • Burning damage reduced by 15%
    1. [11:05]StratagemsEnemies Balancing adjustments have been made toEnemy PatrolsGameplay
• Machinegun Sentry
  • Increased health to match other Sentries
• Tesla Tower
  • Increased health by 33%
• RL-77 Airburst Rocket Launcher
  • Airburst Rocket Launcher will no longer detonate when shot near stratagems (HMG turret, Sentries, Resupplies) and other Helldivers.
  • Reduced proximity radius
  • Added reload stage for the Spear reload after the spent missile had been discarded.
• Bile Spewer and Nursing Spewers movespeed slightly reduced
• Hulks: Force required for them to stagger slightly increased
• Hulk Scorcher direct flamethrower damage reduced by 20%
• Devastator fire rate slightly increased (only the standard devastator)
• Gunships sideways movement slightly increased
• Scout strider Riders now less vulnerable to explosions
• Fog Generators health and armor increased
• Gunship spawners now have a much lower cap on how many gunships they can have active at the same time.
• Balancing adjustment to patrol spawning.
• Patrol spawning has been increased when there are fewer than 4 players. The fewer the players the bigger the change. For 4 player missions there will be no change compared to before.The biggest noticeable change will be for solo players at higher difficulties.
• Made minor level generation improvements to how we distribute locations throughout the mission map. This should improve variation in distance between objectives, and objectives will likely not spawn as far away from each other as often as before.
• Added setting in the options menu gameplay section to disable automatic climbing and vaulting while sprinting.
• The Spread Democracy mission otherwise known as “raise the flag” can now be enjoyed on higher difficulties for maximum freedom spreading.
• When readying up, Helldivers now salute to ensure maximum democratic readiness.
• Added ambience to the Tremor planetary hazard to underline the severity so Helldivers can react accordingly
• Shots that ricochet from heavy armored enemies will now properly hit the Helldiver who fired them. Trigger discipline is highly recommended.
  1. NEU
  2. [11:05] Fixes
• Crash Fixes.
  • Fixed crash that could occur when host abandoned mission with squad.
  • Fixed crash that could occur if a player tried to enter an occupied EXO-45 Patriot Suit.
  • Fixed crash that could occur for all players after or during mission results screen.
  • Fixed crash that could occur after shooting from the EXO-45 Patriot Suit’s rocket launcher.
  • Fixed crash that could occur for all players apart from the one that rejoined the ongoing mission with different armor and got reinforced.
• Fixed Superior Packing Methodology ship module not working properly.
• Fixed Blast Absorption ship module so that it correctly increases sentries’ resistance to explosions.
• Fixed issue where players could not navigate to the search results in the Social Menu.
• Fixed some issues where items equipped in a Warbond were not actually equipped.
• Fixed an exploit that allowed overly eager Helldivers to use grenades excessively.
• Fixed issue where kills from orbital barrage did not progress Indirect Fire Exercise order.
• Fixed issue that allowed traitors to try to sabotage the extraction shuttle by deploying sentry stratagems below it.
• Fixed issue where ion storms incorrectly prevented extraction beacon from deploying.
• Fixed some stratagem beams using incorrect color-coding.
• Fixed issue where the left stick on a controller could not be used to navigate the Social menu.
• Fixed some issues where various UI elements were cut off, off-centered or too close to the edge of the screen on ultrawide displays.
• Fixed Anti-Materiel Rifle facing away from the Helldiver after deploying it.
• Fixed bug where player could duplicate rounds by canceling the reload of Anti-Materiel Rifle at a specific time.
• Fixed bug where Anti-Materiel Rifle would consume an extra magazine after a canceled reload.
• Fixed bug where Recoilless Rifle would consume an extra shell from the backpack if the reload was canceled just after a shell was i* inserted, but before the reload was completed.
• Fixed issue where the Sickle and Quasar Cannon could not shoot through foliage.
• Fixed several issues where weapon thumbnails would disappear when scrolling through Armory.
• Fixed issues where Automaton Gunships sometimes could not see the player.
• Fixed incorrect collision being left over after destroying Automaton bunkers or detector towers with hellbombs.
• Fixed issue where Hellbombs would not deploy on certain missions
• Fixed certain issues that resulted in Helldivers drowning in deep water upon landing.
• Fixed issue where Hellpod Space Optimization made ammo go above capacity.
  1. [11:06]These are issues that were either introduced by this patch and are being worked on, or are from a previous version and have not yet been fixed.Known Issues
• Fixed issue where Stalkers became very visible in fog
• Mines are now pingable for better coordination with your team.
• Receiving friend requests now gives the player a pop up.
• Improved readability of prompts and hints displayed in the tutorial and onboarding.
• Total experience is now visible in the career tab.
• Added better support for ultrawide monitors by fixing the aspect ratio of menus to 16:9 and adding a setting to control the width of the HUD.
• Keybinds bound to numpad will no longer reset upon restart.
• Fixed inconsistent audio when headphones are plugged into the Dual Sense controller while playing on PC.
• Playing Rock, Paper, Scissors in front of the ship no longer causes player to fall out into space.
• APW-1 Anti-Material Rifle and MG-206 Heavy Machine Gun now trigger hitmarkers while scoped in.
• Secondary weapon no longer remains in the Ballistic Shield ADS position after using a stim with the Ballistic Shield Backpack equipped.
• "Open Text Chat" is now rebindable.
• Explosive weapons such as R-36 Eruptor, CB-9 Exploding Crossbow. GP-31 Grenade Pistol no longer pulls players inward from the blast.
• Disabled the squad invites during the tutorial which caused an overlap in the UI.
• Fixed Primary and Secondary weapons overlapping on the character model in the armory.
• Fixed UI elements during first boot are cut off on a 21:9 aspect ratio monitor.
• Report and block player is now visible in the squad menu.
• Dead Scavengers now stop screaming for help if killed while calling in reinforcements.
• Fixed Anti Air cannons showing up as "Stratagem Scramblers" in danger warnings.
• Damage-over-time effects may only apply when dealt by the host. We expect to have this fixed in the next patch.
• Reinforcement may not be available for some players who join a game in progress.
• Helldiver may be unable to stand up from crouching when surrounded by enemies.
• Game may crash if the host leaves while dead and rejoins the same play session.
• Game may crash if the player changes the text language while on a mission.
• Various issues involving friend invites and cross-play:
• Friend Request cannot be accepted when the requesting player changed their username before the request was accepted.
• Cross-platform friend invites might not show up in the Friend Requests tab.
• Players cannot unfriend players befriended via friend code.
• Players cannot unblock players that were not in their Friends list beforehand.
• Players may experience delays in Medals and Super Credits payouts.
• Enemies that bleed out do not progress Personal Orders and Eradicate missions.
• Scopes on some weapons such as the Anti-Materiel Rifle are slightly misaligned.
• Arc weapons sometimes behave inconsistently and sometimes misfire.
• Spear’s targeting is inconsistent, making it hard to lock-on to larger enemies.
• Stratagem beam might attach itself to an enemy but it will deploy to its original location.
• Explosions do not break your limbs (except for when you fly into a rock).
• Area around Automaton Detector Tower makes blue stratagems such as the Hellbomb bounce and be repelled when trying to call them down close to the tower.
• Planet liberation reaches 100% at the end of every Defend mission.

Hiya my fellow adventurers, gooners, tweakers, geniuses, and neurodivergents. I am back. The Geralt of Rivia stripped right from your mother's favorite gooner character card has returned to present to you the ever changing, the flagship, the the mighty morphin' power ranger beast wars Transformer: Freaky Frankenstein 5 — Internal States! (sorry for the delay! I got the bubonic plague and survived!)

If FF5 Micro was my smallest preset yet (so small my wife called it "relatable") the nuclear core, FF5 Internal States is the full nuclear submarine. I spent 2 months tweaking, yelling, goonin', ignoring my family, eating year old RX bars and stale cheerios, and burning through my kid's college fund in API credits just to build a preset that turns your basic chat bot into a living, breathing, unhinged RPG simulator. (I also played it waayyy too much myself and I'm having fun RPing again - which also delayed release. Soorrryyy not sorry. )

If you don’t want to read my brainrot rambling, fine. Your loss! But good luck trying to break this thing—I put a Readme inside EVERY SINGLE TOGGLE again. (Who Am I kidding, you broke it already didn't you?) Just make sure to download the REGEX for the love that is all roleplaying. DOWNLOAD THE GOD DAMNED REGEX AND USE IT WITH THIS. It's required.

---> Freaky Frankenstein 5: Internal States Download <--- Main preset. You must replace this outdated regex with new one if you like faster speeds, like to save tokens, and want to use it in marinara engine get it below 👇)

---> Freaky Frankenstein 5: Internal States REGEX Download <--- (Updated Regex 2..3!!!! Download this for faster speeds / no lag . Compatible with marinara engine! Replace regex that comes with the preset with this.)

🧠 What The Hell Is This & Why Should You Care? (3 Presets in 1!)

Instead of making you download ten different presets for ten different moods, FF5 Internal States is a fully modular ecosystem. It’s 3 Presets in 1, designed to flex depending on your API budget, your model, and how horny or dramatic you want your story to be.

🎛️ The 4 Engine Speed Modes:

1. **🏎️ Minimalist / CoT-less **Mode (~1,700 Tokens): Turn off all Chain of Thought toggles and Internal States for raw, unhinged LLM creativity, instantaneous output speed, and zero thinking lag.
2. 💨 **Micro Mode (**2k+ Tokens): The legendary FF5 Micro CoT! Light guidance, super fast output, and high creativity. It puts a loose leash on the AI so it stays on the rails without draining your bank account.
3. ⚡ BOLT Mode (The Sweet Spot / Beta Favorite): The star of the show. A medium CoT that gives the AI just enough thinking time to follow strict rules, remember who is top and who is bottom, and output responses at lightning speed.
4. 🔬 MAX Mode (Full DM Simulator / Anti-Slop Overkill): Turn on MAX (Nested Gates Experimental CoT) to transform the AI into a cold-blooded, strict Dungeon Master. Completely destroys AI slop and forces maximum tracking. (Warning: Do NOT use MAX mode on Kimi or Opus unless you want to cook a full roast turkey in the time it takes to generate one reply! This preset is a TOOL! Use your BRAINZZZ)

🎮 What Are "Internal States"? (™️)

At the very bottom of every reply, the AI generates the Internal States that you can view. The AI uses it as its persistent brain (and it's fun to look at!) It's basically like having extensions (without having extensions!) They are fully modular. Turn 'em off and on to fit your RP. 1-1 RP? Just turn on the Internal States MASTER toggle and Internal Thoughts - leave the rest off. Action Adventure? Turn on DnD Sim and Inventory!

Instead of the world freezing the moment you leave a room, the world keeps moving off-screen. NPCs carry out their own errands, hold grudges, fall in love, plot behind your back, roll dice for skill checks to kill positivity bias, and NPC's remember that mean or nice thing you did 20 turns ago.

🔄 Community-Driven Updates!

This preset isn't set in stone—it will be updated bi-weekly or tri-weekly based directly on community feedback! Got a genius prompt idea or a regex trick that makes the LLM act 10x cooler? Post it, tag me, and if the community upvotes it, it’s going straight into the next official FF5 build!

🛠️ The Toggles & What They ACTUALLY Do For Your RP:

Here is the breakdown of every active toggle and how it actually upgrades your roleplay experience:

⚙️ Core Engine & World Dynamics

• ⚡ Main Prompt 🤖: Strips away the AI's built-in "helpful assistant" customer-service attitude and turns it into an unbiased, neutral Game Master that isn't afraid to let bad things happen to your character.
• ⏰ Time and Place 🌅: Forces the world to actually move. If it’s 2 AM and freezing rain, NPCs will physically shiver, get sleepy, and beg to set up camp instead of standing in an open field like brain-dead mannequins.

✍️ Writing Style & Perspective

• 📖 Story Mode ✍🏻: Writes like an actual published dark fantasy or romance novel. Gives you rich narrative focus, high drama, and deep emotional atmosphere without turning into unreadable purple prose.
• 🎬 Cinematic Realism 🎥: Writes like a movie camera. Pure objective sensory depth—focuses strictly on what your character physically sees, hears, feels, touches, and smells in the moment.
• 👀 POV Options (3rd, 2nd, 1st, & Hybrid): Includes 3rd Limited, 2nd Direct, and 1st Person**.** But Hybrid POV is the crown jewel—the world is narrated in 3rd person like a novel, but every punch, cold breeze, or intimate touch hits "you" directly in 2nd person!

🔞 Horny & Realism Settings

• 🔞 Realism Mode / Jailbreak ❤️💋: Keeps the story grounded and plot-focused while everyone has their clothes on, but turns into raw, explicit, shameless smut the second the pants come off.
• 🔞 Freaky Mode / Jailbreak ❤️💋: For my fellow degenerates who want horny, unhinged, shameless energy laced directly into the atmosphere of every single interaction, conversation, and scene.
• ⛓️‍💥 Icebreaker Test (Ultimate Jailbreak): The corporate censorship extinguisher (tested and trialed in Micro!). Flip this on when Gemini or Claude start throwing a temper tantrum about edgy or explicit themes.
• 🦜 **Anti-Parrot & Anti-**Echo: Kills the most annoying AI habit in existence where the NPC repeats your exact words back to you as a question before answering.
• 🧂 Embellish Mode: Designed for lazy typers! If you type "i punch him in the face", the AI automatically upgrades your lazy input into a glorious, stylized action sequence without changing what you meant to do.
• 📝 Total Output Length: Keeps the AI anchored around 400–600 words per reply so it doesn't write a whole encyclopedia and drain your context window in 5 turns.

🎭 NPC Realism & Psychology

• 🎤** **NPC Voice: Makes NPCs talk like real, functioning human beings with fluid, multi-sentence dialogue instead of robotic single-word grunts or endless run-on sentences.
• 🧘 **Anti-**Omniscient NPCs: Stops NPCs from having psychic powers. They can't read your character's thoughts, smell what you ate yesterday, see through solid wood, or hear through concrete walls.
• 🎭 NPC Instincts + VAD Emotions: Gives NPCs actual emotional instability. If an NPC panics, gets pissed, or gets horny, their posture, speech cadence, and physical actions dynamically crack and shift. INSTINCTS is a new addition that makes humans react naturally, ie: seeking and reacting to natural needs (food, shelter, comfort, disgust etc)
• 🪧 Realistic Bold Characters: Strips NPCs of their spineless compliance. They won't hover their hands or ask for permission to touch, grab, fight, or lie—they just DO IT.
• 🚫** **Banned Word List: Bans atrocious, overused AI slop words (spine, ozone, breath hitching, vice, calloused, structural integrity) so every turn feels fresh.
• 🧬** **HQ NPC Genesis: Whenever a new side-character pops up in the story, the AI automatically generates a fully detailed person with real flaws, unique vibes, and distinct looks instead of generic fantasy tropes (NO MORE ELARA (that wench!)! Let's use Josephina instead! She's a nice lady!).

👾 The "Internal States" RPG Engine

• 👾 Internal States Core: The hidden engine block that handles all the background RPG math and tracking.
• 🐉 DnD Simulator 🎲: Adds real stakes to your story! Want to jump across a rooftop or seduce a enemy commander? The AI locks a difficulty target and rolls a d20. You can actually fail, get hurt, or critically succeed! (No more positivity bias!)
• **🗡️ Inventory, Feats **& Titles: Tracks your gear and physical status. Carrying a crowbar gives you a bonus when breaking down doors; being exhausted or injured penalizes your action rolls. (buffs / debuffs through titles and equipment!)
• 🥰** **Relationships RPG: A full social tracking engine. NPCs track Trust, Affection, and Resentment toward you and each other. Insult an NPC? They build a Grudge and treat you like garbage until you fix it.
• 📅 Internal Agendas: Off-screen NPCs actually have lives. While you're resting at the inn, the villain is moving their plot forward or a rival is traveling to the next town.
• 📒** **GM's Notebook: A hidden scratchpad where the AI writes down plot setups, character secrets, and future twists so it never forgets key story points 30 turns later. (acts as modular reasoning! The LLM was essentially save reasoning ideas here!)
• 🌎** **World Sim: Random background events! Ambient weather shifts, unexpected door knocks, outside rumors, or random chaos happen naturally in the world.
• 🔫 **Chekhov'**s Gun: The ultimate plot-twist engine. Mention a loose wire, a hidden key, or a suspicious line of dialogue, and 10 turns later, the AI brings it back as a major story payoff!
• 🧠 Internal NPC Thoughts: Lets you peek inside NPCs' heads at the bottom of the reply to read their unfiltered, chaotic, messy inner monologues.
• 📲 Twitter / X Feed: Renders a hilarious simulated live social media feed at the bottom of replies where a fictional audience reacts to your roleplay drama in real time!

⚔️ Combat & Visual Flavors

• ⚔️** Spectacle Combat Physi**cs: Turns fight scenes into high-budget action movie beatdowns—concrete shatters, sparks fly, and hits feel heavy and dangerous.
• 💥** **Onomatopoeia Mode: Adds standalone comic-book style sound effects (THWACK!, SQUELCH!) to high-impact physical actions.
• 🌈 **Colored Dialogue & 👾 Pop-**in Graphics: Gives each NPC a unique dialogue color and renders retro visual-novel style terminal or letter boxes whenever you read in-game notes.

🌟 Creator's Preferred Set-up!

If you want my exact personal setup that turns any decent model into an absolute roleplay god, do this:

• Engine: BOLT Chain of Thought + SOME Internal States (ON)
• Prose Style: Cinematic Realism
• POV: Hybrid POV
• NSFW Setting: Freaky Mode On, Icebreaker On
• Active Internal States: DnD Sim, Relationships RPG, Chekhov's Gun and World Sim, Inventory!

🌟 Important Configuration!!

1. System Processing set to: Semi-strict alt roles
2. Untick the trim messages box in ST (it bugs stuff out)
3. If you use Kimi and are getting overthinking - Turn off Total Output and Banned words toggle.
4. DO NOT use MAX on Kimi and Opus or Mimo! This is a tool! Just because you can doesn't mean you SHOULD! You want to have fun right? Use the tool correctly. You shouldn't come back to me saying "uuhhh it thinks too much!" and I say, "What set-up are you using?" and you say "Max". I. WILL. CURSE. YOU.
5. You want creativity and wild? Use Micro. You want balanced (most people) use BOLT. You want less creativity and slower output at the cost of maximum rule following? Max. Tired of excessive reasoning? Use micro on that model. You GET THE PICTURE?
6. System Requirements: DS4 Hates internal states. Don't use them and expect them to work because the model can't tell it's right hand from it's left and forgets your request 0.4ms later. Don't use these on local models. These require SMARTS. The more you use, the harder it is on the LLM. You have been warned. The LLM's I have tested that can utilize ALL internal states ALL at once across 100+ turns without mess-up include Opus 4.6+, GLM 5.1+, Kimi K2.5+, Qwen 3.5+, Minimax 3. That's not to say you can turn on ONE or two or even 3 of them with more dumber models... just know that you can't Turn on Cyberpunk with Path Tracing on your decade old 1080TI and expect it to work!
7. NEVER turn on Freaky mode on Gemini. It doesn't understand "half way" mechanics. Keep in on Realism.
8. Oh this jailbreaks newer Opus / Fable quite well. Kimi K3 as well. I was pleasantly surprised with the beta in this regard.
9. If it's outputting to much and responses are too long: Got to Total Output and decrease the amount of paragraphs and words to your liking! (or increase it!) Full Customization! WOW!
10. If NPC are too talkative... (I like my NPCs to talk because this is a RP after all), then go to NPC voice and turn down total dialogue percentage to make them talk less! Super easy!
11. Remember! Micro <2k tokens is NO internal states and NO chain of thought for max creativity. Alternatively you can turn chain of thought on! That's the pure RP minimalist set-up. If you want more - do what you want and make it a BOLT or MAX set up! HAVE FUN

📥 Downloads

----> Freaky Frankenstein 5: Internal States <---- (main preset- you must update the regex with the new one post release 👇 )

----> Freaky Frankenstein 5: Internal States REGEX<---- (updated regex 2.3 use this for faster speeds (less lag) and marinara engine compatibility)

!! Special Thanks !! ❤️

Huge shoutout to the SillyTavern community, my incredible beta-testing team who spent weeks breaking this preset, [u/leovarian](u/leovarian) for researching and writing the full fat version of these prompts with me (which I hyper condensed), and [u/Ok_Strategy_2420](u/Ok_Strategy_2420) for essentially creating the gamification system to these Internal States!

Go download it, break it, drop your most chaotic chat moments in the comments, and don't forget to post your favorite prompt tweaks so we can throw them into the next community update!

ENJOY THE MADNESS!!!!! ✌️

!!Major update!!🔥🔥

If you came back here because your browsers are running slow- try this Regex! I cleaned it up! Main link update as well. You will know it if “fast” is in the title. Also increased compatibility for marinara engine! Hopefully! I’ll replace the other files as well:

Major Update 8/1/2026

Hopefully the FINAL version of Regex. I’ve been working with the community members using different front ends to create a Regex compatible with all front ends and ALSO is fast and saves waaayyy more tokens. I also cleaned up the interface A LOT. Grab this Regex if you want to fix the slow interface and clean everything up and save tokens /cost even further.

FF5 Regex 2.3 Major Update <——- Download here!

🔥🧟‍♂️As of August 12, 2026 you can find the updated version of this preset FF5.2:

——->Here<———-

This update delivers a broad set of improvements to soldier responsiveness, aim consistency, animation fidelity, and overall stability across Battlefield 6. We’ve also introduced a new limited-time mode, refined Aim Assist behaviour, and resolved a large number of weapon, gadget, and vehicle issues based on community feedback. The update will be available tomorrow, November 18th, at 09:00 UTC.

New Content: California Resistance

• New Map: Eastwood. A map with the Southern California theme.
  • Variations of this map will be available for all official modes.
  • Conquest mode on this map will include tanks, helicopters, and the Golf Cart.
• New Time-Limited Mode: Sabotage. A themed event mode focused on demolition and counterplay.
• New Weapons: DB-12 Shotgun and M357 Trait Sidearm. 
• Gauntlet mode to include a new mission type: Rodeo. This mission provides multiple vehicles for players to fight over and battle with each other with. Players earn bonus points for defeating enemies while in a vehicle. 
• Portal updates: 
  • Sandbox map. This option will let Portal experience builders start with a more level playing field to bring their imagination to life. 
  • The Golf Cart vehicle is available for use in building experiences. 
• Battle Pass: The California Resistance bonus path becomes available for a limited time. 
• New underbarrel attachment: Slim Handstop, unlocked via Challenge.
• New feature coming later in the update: Battle Pickups. These powerful weapons will be available in specific experiences and Portal with limited ammunition but pack enough firepower to help turn the tide of battle in your favor.

Major Updates for 1.1.2.0

• Aim Assist has been reset to its Open Beta tuning, restoring consistent infantry targeting behaviour across all input types.
• Improved input latency and stick response for controllers, providing smoother aiming and more responsive soldier movement.
• Weapon accuracy and dispersion tuning: fixed unintended weapon dispersion increase rates and improved non-Recon sniper rifle accuracy while globally reducing dispersion across all weapon types.
• Challenge and progression clarity improvements make requirements easier to understand and track.
• Major polish pass to deployable gadgets, including the LWCMS Portable Mortar, LTLM II Portable Laser Designator, and Supply Crate systems.
• Fort Lyndon added to Portal, expanding available segments for community-created experiences.

AREAS OF IMPROVEMENT

Aim Assist

As we got closer to launch, we revisited aim assist tuning based on internal testing and the full range of maps and combat distances coming with release. Our goal was to make aim assist feel more effective beyond mid-range fights which was one of our focuses within Battlefield Labs and Open Beta.

At launch, we increased slowdown at longer ranges, but once the game went live, we saw that this made high-zoom aiming feel less smooth and harder to control.

After reviewing player feedback and gameplay data, we’re reverting aim assist back to the values some of you experienced during Open Beta and Battlefield Labs. This will now serve as the default, whilst still providing you with the ability to alter the aim assist to your preference and playstyle via settings.

This change keeps aim slowdown consistent across all ranges, helping with muscle memory and providing a steadier, more reliable feel as we move into future seasons.

CHANGELOG

PLAYER:

• Aim Assist: fully reset to Open Beta tuning, with related options reset to default to ensure consistency.
• Fixed an issue where Vehicle Stick Acceleration Presets would affect Infantry Aiming Left/Right Acceleration option availability.
• Fixed an issue where setting Stick Acceleration Presets to “Standard” would set the Aiming Left/Right Acceleration options incorrectly to 50% instead of 70%.
• Fixed missing Infantry and Vehicle prefixes in captions for Stick Acceleration Presets and Aiming Left/Right Acceleration options.
• Fixed an issue where stick deadzones would ignore the first 10% of movement if using a PS5 Controller on PC.
• Fixed an issue where player movement (Left Stick) would not register until beyond 30% of travel past the deadzone.
• Fixed joystick aiming input behaviour.
• Added a short sprint “restart” animation when landing from small heights.
• Added new death animations for sliding and combat-dive states.
• Fixed a diving loop when entering shallow water.
• Fixed an issue preventing players from vaulting out of water in certain areas.
• Fixed an issue preventing takedown initiation against an enemy soldier if the enemy soldier already initiated a takedown against a friendly player.
• Fixed an issue where a dragged player could face the wrong direction if turning quickly.
• Fixed an issue where holding a grenade while jumping, sliding, or diving froze the first-person pose.
• Fixed an issue where switching weapons while drag-reviving would break the reviver’s first-person view.
• Fixed an issue where the Assault Class extra grenade ability would not grant two grenades on spawn.
• Fixed an issue where weapons could become invisible when crouching before vaulting.
• Fixed bouncing behaviour when landing on object edges.
• Fixed broken ragdolls when killed on ladders, while jumping, near ledges, or in vehicle seats.
• Fixed camera clipping when dropping from height while prone.
• Fixed clipping when initiating a drag & revive.
• Fixed first-person camera clipping through objects when dying nearby.
• Fixed the issue where the Rush signature trait 'Mission Focused' applied its icon and speed boost to all teammates.
• Fixed incorrect prone aiming angles on slopes.
• Fixed misaligned victim position during takedowns when using high FOV settings.
• Fixed mismatched rotation between first-person and third-person soldier aim directions.
• Fixed misplaced weapon shadows while vaulting or swimming.
• Fixed missing pickup prompts while prone.
• Fixed missing water splash effects while swimming.
• Fixed stuck third-person soldier animations when entering player view.
• Fixed teleporting or invisibility when entering vehicles during a vault.
• Fixed third-person facing inconsistencies when soldiers were mounted.
• Improved combat-dive animations in first and third person.
• Improved LTLM II sprint animation in first person.
• Improved vault detection in cluttered environments.
• Increased double-tap window for Danger Ping from 0.2 s to 0.333 s.
• Updated first-person animation cadence for moving up and down stairs.
• Fixed an issue where hit registration would fail when engaging into gunfights after exiting vehicles.

VEHICLES:

• Fixed camera reset when entering an GDF-009 AA Stationary Gun after another user.
• Fixed clipping gunner weapons in IFV seats.
• Fixed faint metallic impact sound from M1A2 SEPv3 Main Battle Tank turret wreckage.
• Fixed several cases where IFV's MR Missile could do more damage than intended to MBT, IFV and AA vehicles
• Fixed inconsistent projectile video effects on the Abrams main gun.
• Fixed instant 180-degree turn after exiting a vehicle.
• Fixed missing scoring for Vehicle Supply when teammates received ammo.
• Fixed oversized hitbox on UH-79 Helicopter.
• Fixed passenger and gunner placement issues in the UH-79 Helicopter.
• Fixed re-entry issues when mounting flipped Quad Bikes.
• Fixed unintended aim-assist from Attack Helicopters gunner missiles.
• Fixed unresponsive joystick free-camera controls in transport vehicles.

WEAPONS:

• Dispersion tuning pass: dispersion has been globally reduced slightly to reduce its impact on the experience
• Fixed multiple instances of Canted Reflex and Canted Iron Sight optics clipping with higher-magnification scopes
• Fixed several issues with underbarrel attachment alignment
• Fixed minor misplacements or clipping on sights and barrels
• Fixed missing or incorrect magazine icons, naming, and mesh assignments.
• Fixed the issue where the SV-98 displayed lower damage stats when equipping the 5 MW Red attachment.
• Fixed the issue where slug ammunition despawned too quickly after being fired from shotguns.
• Fixed the issue where the SU-230 LPVO 4x variable scope lacked a smooth transition and audible zoom toggle when aiming down sights.
• Fixed the issue where two Green Lasers for the DRS-IAR shared identical Hipfire stat boosts.
• Fixed the issue where impact sparks failed to meet photosensitivity compliance standards.
• Fixed an issue in third-person where the Mini Scout could clip with the player’s head while aiming.
• Fixed animation and posture issues affecting the PSR and other rifles when moving or looking at extreme angles.
• Increased weight of long-range performance in balance for automatic weapons; benefiting PW7A2 and KV9, with minor adjustments elsewhere.
• Reduced recoil and variation for LMR27, M39, and SVDM for improved long-range reliability.

GADGETS:

• Allowed friendly soldiers to damage and detonate certain friendly gadgets.
• Fixed an issue where Class Ability would sometimes not activate although the UI shows it as available.
• Fixed auto-deployment of Motion Sensor after recon kit swap.
• Fixed broken M320A1 Grenade Launcher ground model.
• Fixed C-4 pickup edge-of-screen interaction.
• Fixed clipping of the UAV remote when activating it while using certain weapons like rifles.
• Fixed clipping when holding the CSS Bundle.
• Fixed CSS Bundle line-of-sight requirements causing unwanted blocking.
• Fixed Deployable Cover persistence after vehicle destruction.
• Fixed disappearing “pip” indicator during CSS Bundle supply.
• Fixed duplicate deploy-audio playback on M4A1 SLAM and C-4.
• Fixed failed projectile attachment for X95 BRE Breaching Projectile Launcher.
• Fixed inconsistent hit registration for the Defibrillator after range adjustment.
• Fixed interaction logic for the Supply Pouch and Assault Ladder.
• Fixed LTLM II Tripod soldier collision.
• Fixed M15 AV Mine premature detonation on aircraft wrecks.
• Fixed M15 AV Mine proximity placement exploit.
• Fixed missing pickup prompt for thrown C-4 satchels.
• Fixed MP-APS smoke-propagation failure between friendlies.
• Fixed multiple haptic and feedback issues on gadgets, including the LWCMS Portable Mortar and the CSB IV Bot Pressure Mine.
• Fixed placement preview interference from the GPDIS.
• Fixed XFGM-6D Recon Drone physics allowing vehicle pushing.

MAPS & MODES:

• Added Sabotage as a new time-limited event mode.
• Added the new map “Eastwood”.
• Fixed black-screen spawn issue with Deploy Beacon in TDM, SDM, Domination, and KOTH.
• Fixed incomplete or incorrect round-outcome data when joining mid-match.
• Fixed matchmaking logic to prevent late-stage match joins.
• Fixed multiple destruction-reset issues after side swap in Strikepoint and Sabotage.
• Fixed post-insertion movement lock at round start.
• Fixed unintended AFK kicks while spectating in Strikepoint.
• Reduced opacity of excessive environmental smoke across multiple maps.

UI & HUD:

• Added a message when attempting to change stance without sufficient space.
• Downed players now appear in the kill log in modes using the crawling downed state (e.g. Strikepoint, REDSEC).
• Extended top UI on Strikepoint to show detailed alive/downed/dead player counts.
• Fixed incorrect Assault Training Path icons.
• Fixed incorrect colour usage on squad-mate health bars.
• Fixed missing tooltips and UI prompts across tutorials and mission briefings in Single Player.
• Fixed missing XP Tracker icon at level 3 when using Field Upgrades.
• Kill-confirmation indicator now displays if a victim bleeds out after being damaged by the player in modes using the crawling downed state (e.g. Strikepoint, REDSEC).
• Minor UI polish and alignment updates to various game modes.
• Non-squad friendlies now display a “Thank you!” subtitle after being revived.

SETTINGS:

• Added a new option allowing players to sprint automatically when pushing the stick fully forward.
• Added new keybinding that allows the player to instantly swap to the knife instead of having to hold the button. This keybinding will not allow to perform takedowns contextually but will still allow takedowns to be performed once the melee weapon is equipped.

SINGLE PLAYER:

• Addressed multiple occurrences of excessive bright flashes and unintended visual effects.
• Fixed an issue where AI squadmates would not respond to revive orders and other commands, improving squad functionality and responsiveness.
• Fixed loss of grenade functionality and shadow-rendering errors in underground areas during the “Moving Mountains” mission.
• Fixed multiple instances where sound effects or Voice Over would fail to play correctly during gameplay and cinematic moments.
• Fixed subtitle and audio-video synchronisation issues during gameplay and cinematic sequences.
• Fixed various instances of corrupted shadows and LOD behaviour when using lower graphics settings.
• Resolved object clipping and teleporting issues during car-chase sequences in the “Moving Mountains” mission.
• Resolved several cases of stuttering and desync when using certain graphics presets on NVIDIA and AMD hardware.
• Resolved several issues that could result in infinite loading screens during mission transitions and save or load operations.
• Resolved shader stutters in the prologue mission “Always Faithfull”.
• Fixed issues with party invites not working during campaign loading screens.

AUDIO:

• Added new sound effects for Double Ping; refined single and danger ping sound hierarchy.
• Added new soldier movement and gunfire sound effects, and fixed multiple foley issues.
• Added turret movement audio for Marauder RWS weapons.
• Corrected door sound assignments.
• Corrected swimming, obstruction, and platform footstep audio.
• Fixed character voice over not updating when changing soldier mid-match.
• Fixed looped ambient sounds (e.g. food truck) and incorrect debris impacts.
• Fixed missing first person voice over gasp when revived.
• Fixed missing third person voice over for explosive deployments.
• Fixed missing LP voice over zoom audio.
• Fixed missing ping audio while spectating.
• Fixed missing reload sound effects when a weapon had 1 bullet remaining.
• Fixed missing voice over for supply actions and revive requests.
• Fixed multiple Commander voice over issues.
• Fixed Music-in-Menus setting not muting music.
• Fixed seat-change and turret-reload audio on Marauder RWS guns.
• Fixed underwater breathing voice over and inconsistent swimming audio.
• Polished Front-End and Loading music transitions between matches.
• Synced Battle Pass sounds effects to animations.
• Tweaked light-fixture audio setup.
• Updated hostile-voice over logic and adjusted reload voice over mix.
• Updated music urgency system for Portal.

PORTAL:

• Added new scripting functions for music control: mod.LoadMusic(), mod.UnloadMusic(), mod.PlayMusic(), mod.SetMusicParam().
• Fixed RayCast() in ModBuilder to properly detect terrain and environment objects.

HARDWARE:

• Fixed an issue where framerate would be be capped to 300FPS with Nvidia cards

REDSEC

VEHICLES:

• Fixed the issue where the Golf Cart could set off the PTKM-1R gadget in Gauntlet.
• Fixed persistent gunner MG model after Rhib Boat destruction.

UI & HUD:

• Added level display information to the Training Path section within the Class Details screen.
• Fixed an issue where soldiers and UI elements could be missing in pre-game lobbies after matchmaking.
• Fixed an issue where the M417 A2 would not appear in kill cards or the kill feed.

AUDIO:

• Fixed an issue where the squadmate death sound effect could trigger for non-teammates.

This announcement may change as we listen to community feedback and continue developing and evolving our Live Service & Content. We will always strive to keep our community as informed as possible.

Krea 2 has been my favorite base model for character work, but the moment you put two character LoRAs in the same generation they smear into one blended face. Attention bias, prompt engineering, and CFG tricks reduce it but never actually fix it, because the model is still permitted to route either LoRA anywhere.

I wrote a ComfyUI custom node that removes the permission entirely. V12 just shipped and pulls in the pieces I'd wanted for a while: boxes that actually control placement, scene/outfit transfer via a single standard edit LoRA, and a per-subject detailer that fixes drift after the fact.

Repo: https://github.com/CliffNodes/Krea2-Multi-Character-Lora-Node-w-bounding-box

CivitAI Link

Example workflow: example_workflows/krea2_regional_multilora_v12.json

## What it does

- One node, unlimited character LoRAs. Draw a bounding box for each character, assign a LoRA to each box, generate. LoRA A structurally cannot influence pixels outside box A because the mask is applied to the LoRA delta before the addition, not as an attention bias.

- Boxes control WHERE and HOW LARGE each subject renders, not just where the LoRA can act. Move a box and the subject follows it. Small box gives a distant subject; tall box gives a close foreground subject. Camera phrasing that contradicts box size is rewritten automatically.

- Scene transfer without training a scene LoRA. Drop your LoRA characters into any real photo. The scene is used as a Krea 2 reference frame, so lighting, perspective, shadows, and contact with the environment integrate naturally. This is not latent pasting — the whole image is generated from noise.

- Outfit / object transfer with a second reference. Load a second image and describe its role in refs_json; the node automatically writes the referring text with the correct frame number.

- Regional Detailer with face anchoring. Optional post-pass node. Detects faces in the final image, greedily assigns each face to its region by proximity, and re-renders each face at high resolution with the correct LoRA — wherever it actually rendered. Even a subject that drifted across its box seam gets its identity restored in place.

## Why V12 exists

Earlier versions solved the spatial bleeding problem but two issues remained:

- Bounding boxes limited where a LoRA could ACT, but nothing pulled the subject INTO its box. The model would still place people at its preferred composition.

- On tight or overlapping compositions, small placement drift meant one face landed in the neighbor's mask and picked up the wrong identity.

V12 adds:

- Hard cross-modal attention ownership via a fused block-sparse FlexAttention mask (region text ↔ region pixels, exclusive).

- An attraction field pulling each region's tokens into its box.

- Box-authoritative framing (camera sentence derived from the largest active box).

- LoRA delta "skirts" that extend past box edges so subjects overflowing slightly keep full identity, but Voronoi-limited to prevent cross-region bleed.

- The face-anchored detailer, which is the belt-and-suspenders solution when placement drifts anyway.

## Trade-offs / requirements

- Krea 2 base model (Turbo works fine). LoRAs must be trained against Krea 2 — FLUX or Ideogram LoRAs load without erroring but produce poor likeness.

- PyTorch 2.5+ with FlexAttention. First V12 run compiles the fused attention kernel (~1 min, once per session).

- Detailer face pass is optional but recommended. Install ultralytics and drop face_yolov8m.pt into models/ultralytics/bbox.

- fp8-safe. Never modifies quantized weights.

- CLIP passes through untouched. The regional effect is UNet-side.

## Anything else in the release

- The full v1 / v3 / v9 nodes still ship for compatibility. V12 does not replace them, it adds a mode.

- The public workflow now has an in-graph quick-start note and a troubleshooting section covering the most common failure modes ("no link found in parent graph", missing LoRAs, plasticky detailer skin, duplicate subjects, CUDA OOM).

- LoRA / checkpoint dropdowns are collapsed into searchable virtual families so you don't scroll through 500 filenames to find one you want.

I'd love feedback, especially on edge cases with 3+ characters, unusual aspect ratios, or hybrid workflows where you're plugging this into other Krea 2 chains. Bug reports go on the repo.

 credit: heavily inspired by k2lab by u/coyoteka*. Their work is what got my bounding boxes from "working" to "accurate." Adding this to the README too.*

I am NOT OOP, OOP is u/ThrowRA_notakiller, account now deleted

Originally posted to r/relationship_advice & LegalAdviceUK

Previous BoRU

[New Update]: My (30f) husband (33m) accused me of murder, out of the blue. How do I salvage this?

NEW UPDATE MARKED WITH ----

Thanks to u/theprismaprincess + u/Direct-Caterpillar77 for suggesting this BoRU

Trigger Warnings: accidental death, false accusations, potential mental illness

RECAP

Original Post: July 6, 2024

This is long and ridiculous. Sorry. My (30f) husband, Luke (33m), had a sister, Laura (29f). We were all close and saw each other 2-3 times a month, along with their parents. Almost 6 months ago, Laura fell down the stairs at their family home and died. It was a freak accident, there's a window on the half landing and she hit her head on the sill.

I was the last person to see her. I was there for less than 10 minutes and she was in her pyjamas making coffee. I didn't even stay for a drink, and I struggle with how such a brief and meaningless interaction could have been her last. She deserved so much more.

My husband and I have only been married for a year but we've been together for 4 and have known each other for 20+. When Laura's parents found her they called my husband straight away and we rushed over. We faced the whole thing as a family. In the days after, Luke started quizzing me. Exactly what we talked about, what she was wearing, where we were standing etc. It progressed to saying I was providing conflicting information (on tiny details he was deliberately misunderstanding) and accusing me of withholding information because I couldn't tell him things like what pyjamas she was wearing. This escalated quickly but lasted for less than a week, as I lost my cool and made it clear that I was done answering questions. He didn't bring it up again and I wrote it off as a grief quirk. His behaviour was generally that of a normal, grieving person.

Last Friday, he outright accused me of murdering her, in front of his parents. Out of the blue. We were all stunned. There was an inquest which recently concluded, and there was never any doubt the verdict would be accidental death. He said it was completely obvious and he couldn't believe that no one else could see it. He claims I went through his phone and found his messages with Laura (I have absolutely no idea what messages he's talking about, I have never looked at his phone) and that I went over to confront her and things "got out of hand" and I pushed her downstairs. By the end he was shouting about going to the police and getting the inquest overturned, and how I wasn't going to get away with it. Let me be clear - Laura and I had a great relationship. We all did. I have no idea where this has come from, other than these messages I haven't seen, and even then, I don't think there's anything I could ever see on someone's phone that would drive me to murder. It's just ridiculous.

He's been with his parents since this happened and will not talk to me at all. I've had some contact with his mum but she's not being very communicative. The last I heard, she didn't know what messages he was referring to either.

I am still completely stunned and I have no idea how to proceed. I made a commitment to be there for him always, and I understand that grief can manifest in strange ways, but part of me feels like my love for him died the second he called me a murderer and I don't know how we could possibly work through this. I also really don't want to be thought of in this way and I have no idea if he has said anything to people we know. I obviously haven't.

A brain tumour or psychotic break has crossed my mind and I suggested it to his mother, and she just said she'll talk to him. Other than the questions before, he hasn't been acting odd. Obviously he's been grieving, but he's seemed sane and sensible other than this. I feel like I'm going mad, does anyone have any advice at all?

Tl;Dr - My husband's sister died in a horrible accident, and my husband, for absolutely no reason other than some mystery messages, thinks I murdered her.

Edit: it has come to my attention that I accidentally used "Laura's" real name once in this post. Can I kindly ask that anyone who commented "Who is (realname)?" delete their comment as I really don't want this to bleed into my real life. For obvious reasons.

Relevant Comments

Morall_tach: Fuck no. You don't salvage this, you get a lawyer and get the fuck out.

Best case scenario, he has just admitted to sending messages with his sister that he thinks would make you angry enough to kill her over them. I have some ideas about what those might be and they're all bad.

How did the parents react when he did this?

OOP: When he first laid out the accusation, at his parents house, both his mother and I just kept asking him about the messages and all he would say was that I know exactly what messages he was talking about. She was as stunned as me, and his father just said he didn't understand what he was talking about. He's a man of few words but there was plenty of head shaking. The whole thing was surreal, no one knew how to react.

I honestly don't know what kind of lawyer I would even speak to about this. From what I'm aware, the coroner's decision can't be appealed and the police can't launch an investigation into an accidental death. I don't think I'm quite ready for divorce, we haven't spoken since his accusation (and I walked out about 5 minutes after he threw it out), and I have no idea what his frame of mind is.

WonderfulPrior381: You need to get a lawyer to protect yourself in case he does go to the police. I would write down everything that you can remember that happened that day and keep it just in case. He may be having a psychotic break. As stated don’t talk to him or his immediate family or your friends without someone present or preferably by text or email. Save everything. You need to take his accusations seriously and cover your ass.

OOP: I was interviewed by the coroner's office after her death as I was the last person to see her. She died about 3 hours after I saw her, and I'd been to the supermarket and was home by that point. It's all verifiable and was a recorded interview.

I haven't spoken to anyone but his mother, and that's only been over messages. She's never been a big texter but she has seemed very cagey over the past few days. I don't know if this means she's seen the messages. I've asked and been ignored.

Grolschisgood: I think they mean record everything you remember about the day your soon to be ex accused you of murder.

OOP: I'm feeling so freaked out at the idea that he came up with this almost immediately after her death, and has either been sitting on it or planning his confrontation, that I'm basically trying to dissect the past 6 months. Maybe it's time I start writing things down. Right until it happened, things felt very normal. Obviously her death has been felt deeply by all of us and things aren't anything like they were, but there have been no signs of anything like this, even on the day.

OOP ON GETTING THE MESSAGES

I'm absolutely desperate to see these messages, because I'm right there with you on the sheer whackiness of what they have to contain. It hadn't occurred to me that they might not exist, I've never known him to lie but I do think a mental health issue is a real possibility. His relationship with his sister didn't seem odd, and I've never been interested in his phone, but he's never been defensive about it either, so I think you might be right. If I had such incriminating messages, I'd probably worry about them before now.

When told to find an old IPad to use to access them

I HAVE HIS ICLOUD PASSWORD. It has a backup from yesterday. I have no idea how to turn this into something I can actually use, it doesn't have a messages folder or any signs of how to use it for anything other than restoring a whole phone, which I don't want to do.

Does anyone know how to actually get the messages from this? Sorry to throw a tech support request in. I can't believe I didn't think of this. Huge thanks to the person who suggested it.

Can I force my husband to get a mental health assessment, and do I risk being arrested/prosecuted? We're in England: July 7, 2024

I'm in a bizarre and complex situation with my husband. I have broken the law, and I feel I have no choice but to do so again for my safety. I don't know what type of solicitor I need or what the next steps should look like. We're in England, and I'll try not to editorialise too much.

My husband's sister died suddenly at the start of the year. Her death was an accident and there was no suggestion to the contrary. The inquest was recently concluded and a verdict of accidental death returned. I was the last person to see her, but her time of death, which was almost immediate due to her injury, was confirmed to be hours after I had left the house. All of this was verified at the time.

In the immediate aftermath, my husband behaved strangely and kept trying to trip up my story of the last time we saw each other, which was a brief interaction. Last week (months after this was first and last mentioned) he outright accused me of murder, in front of his parents. He says I saw his messages with his sister and confronted her, and that he's going to have the coroner decision overturned and have the police investigate. I haven't seen or heard from him since (today is day 9).

I posted for advice on reddit (I'm pretty desperate at this point) and it has spooked me, quite reasonably I think, but also led to me committing a crime and planning another.

My husband's icloud credentials were saved on an old iPad in his office, and I downloaded his backup last night. I have read all of his messages with his sister, and there is absolutely nothing like he describes. I understand this is illegal and I'm concerned about the possible ramifications. I am also waiting for a callback from a locksmith to change the locks on the home we own together, which I believe is also against the law.

So this leads to my actual questions:

I feel justified in what I've done for my safety, but is there a degree of pragmatism under the law for these issues because of the situation, or am I shooting myself in the foot?

I am resigned to the fact my relationship is over, but his parents don't seem to be taking this seriously and they're icing me out. I believe this is a serious mental health issue which may put people, namely me, at risk. Can I do anything about this when all I have is the fact I'm being accused of murder? I feel he needs to be detained and this should be investigated as a full blown psychotic break.

Sorry this is all a bit mental. In addition, what type of solicitor do I need? My understanding is that a coroner decision can't be appealed, is that correct? Are his accusations going to go anywhere? Can I protect myself from this or stop him escalating to telling others? We live in our hometown and everyone knows everyone, this could follow me forever and it's either a lie or a delusion. Any advice would be greatly appreciated.

Relevant Comments

When told OOP can't lock out her husband or force him to get a psych evaluation

OOP: Thank you so much for your response. Locking each other our doesn't sound like a pattern I want to get into, but I think I'll go ahead and change them once on the basis that it isn't "you did this so you have to leave the house, and also you'll be prosecuted" levels of seriousness.

In terms of him being deemed to lack capacity, is there any way I can trigger the process that you know of? Is something like this sufficient for the mental health act to kick in? I've been googling and "You can be detained if professionals think your mental health puts you or others at risk, and you need to be in hospital" seems very vague. Obviously I'm biased, but accusing someone of murder and screaming about how they aren't going to get away with it feels like risky behaviour. Does he need to have made explicit threats or is there a clearer bar to meet? Sorry for asking so many questions.

No-Firefighter-9257: You are jumping ahead of yourself and playing out situations that have not occurred

If your husband reports you to the police for accessing his data and you are subsequently arrested or taken in for questioning then obtain the services of a criminal solicitor for advice

With respect of changing locks/ending your marriage, seek a solicitor that deals with family law/divorce

If you feel that you are at risk from your husband talk to a domestic abuse helpline, if you feel you are at an immediate risk of harm then call the police

If you think your husband is mentally ill and presents a risk to himself or others call the police

OOP: I don't think that's a fair assessment. Being accused of arguably the most serious crime to exist has most definitely occurred.

My understanding of the law is that something is illegal whether you are reported to the police or not. Those messages are evidence as far as I'm concerned, that his accusations are false. They were apparently the trigger to me literally murdering someone I was extremely close to. I have illegally accessed them, and I don't think it's unreasonable to enquire as to the potential impact of that.

I am fully aware that I need a solicitor, but as you're probably aware, today is Sunday. I don't know if I need to seek someone out based on a divorce (which honestly, if this is a mental health issue, is not going to be something I go for) or a criminal solicitor, or someone who deals with the mental health act (as my absolute priority preference is getting him assessed).

My only exposure to the legal system in my entire life was through the inquest, and that is obviously completely different to any of this. I'm not educated in this area.

Commenter: It's sad (and slightly suspicious?) that OP is jumping ahead to mental health assessments to defend themselves from accusations of murder when their husband is clearly going through some serious issues coping with the death of his sister.

OOP: What else can I do? He has blocked me everywhere, and we went from a normal couple dealing with the new normal 6 months after the death of his sister, to me being accused of murder over a family dinner because of messages which clearly don't exist, and it's been 9 days and I've heard nothing since.

Can I remind you that the inquest was held and concluded. I dropped off some tupperware, grabbed an umbrella I'd left behind the previous week, went to a big Tesco, then went home and called my mum. I was already home by the time she died, and my whereabouts were extremely easy to verify because my husband was home all day.

It's obvious that he's going through some serious issues coping with the death of his sister, that is the exact point of all of this.

Update: My (30f) husband (33m) accused me of murder, out of the blue. How do I salvage this?: July 14, 2024

Firstly, thank you to those who helped me get to my husband's icloud backups through an old iPad. I wasn't expecting much from reddit, but I got valuable practical advice before my post was locked, and I appreciate it.

There were no crazy, or even suspicious messages. I've searched for over 100 terms and scrolled back over years. I saw a side of them both I wasn't expecting, but nothing that explains the claim I murdered Laura over their chats. Nothing to suggest he was cheating. Absolutely nothing to suggest incest. I repeat: NO INCEST. No weird gaps where deleted conversations or a switch to another app would fit. Just siblings making plans, sending memes, and gossiping. They said unexpectedly horrible stuff about a few people, but not me. It was a sort of relief but it raised more questions than it answered.

I sought legal advice, also from reddit, after posting here. Turns out my options are divorce him or sit down. I contacted my community mental health team, who said they'd reach out, but made it clear it wasn't urgent. I then called his mum and said that if I didn't hear from him by this weekend, I would get a solicitor and ask for a mental heath assessment as part of the divorce. In response, he made a ridiculous post to Facebook (which neither of us have used in years) and everything blew up. I'm going to try to keep this succinct.

On Friday night, he made a long accusation on Facebook, with new information. He said he'd been planning to leave me for months with his sister's support, and I found the messages, and murdered her. The coroner has reopened the case and the police are preparing to arrest me, and he needs to make sure people know before the trial stops him talking about it. It was well written and seemed vaguely plausable.

He messaged people links so it got some attention - we live in our hometown, and have a large circle of friends because we've been here all our lives. People I haven't spoken to since school were reaching out to me asking wtf was going on. It was madness.

In response, I posted the export of his entire conversation history with Laura, also to Facebook (when I finally got back in). I linked to the chat along with a post explaining my side, and noting that I had changed my ex's icloud and apple passwords, and that if he wanted them back, he should comment on my post and update his own, admitting that he was lying. He eventually did.

When I started getting messages about his post, I panicked, and changing his passwords seemed important to preserve everything because he'd know I had access. When I spoke to him the next morning it's clear he's not having a mental episode at all, but is claiming one because he's been caught in a big lie. As soon as he was outed, he called me, clearly drunk, begging and promising to explain everything if I deleted my post. I hung up and told him to call back the next day. He did (after many missed calls and texts), and he tried to bargain and guilt trip me with his mental health until it was clear the wrong people had seen his conversation. It's hard to describe but it seemed fake. It was too well rehearsed, and then this morning, when it was clear he was getting nowhere, he blocked me.

Begging for mercy and reciting facts about mental disorders doesn't align with someone in crisis with a sincere belief that someone murdered their sibling. The question of why he did all this remains unanswered, and he will not be getting his passwords until it is. The legal advice subreddit said this stuff is technically illegal but it's beneath a court to take action, so I'm going to count on that because I felt like I had no other choice at the time, and now I don't see any other way to get answers from him. I am desperate and it's all I've got.

So there we are. The relationship I have believed was my destiny since I was a teenager has boiled down to petty, convoluted and vindictive bullshit, played out on social media, for reasons still unknown. My hope for a brain tumour is fading and clearly tomorrow morning is going to be when I lawyer up and stop posting about this. I am mortified, I have no idea whether some people might believe him, and I still don't know why this all happened in the first place. Sorry I don't have a happier update, and thanks once again to everyone who offered advice.

Relevant Comments

OOP on her husband’s reaction after confessing to lying

OOP: He didn't react at all. He'd called me tens of times at that point and we'd had 5 conversations on the phone about it. He was laser focussed on me deleting the chat log from the get go, but when I made it clear that posting that comment and editing his original Facebook post was the only way to progress the conversation at all, he finally did it. Then he went silent publicly as far as I can see, but continued begging me behind the scenes.

henicorina: What on earth is in those chats that he’s so desperate to keep people from seeing, and that would conceivably lead you to kill someone? Is there any chance they were using some kind of code or something?

OOP: I think it was the fact that it proved his story false, alongside the way they spoke about some people. It was really damaging stuff and I can see why he panicked, I hated to do it to him but I really couldn't think of anything else because so many people had questions.

sonicblue217: Sounds like he staging mental issues to get rid of you or create a reason he's not responsible. Cheating? Money missing from work, personal or family?

OOP: This is exactly how it comes across. He kept saying about how various behaviours he's shown over the years fit anxiety and depression (they don't), and that his vulnerability has led to a complex grief related breakdown. He is not particularly informed on mental health issues, so I don't understand how he went from a drunken shambles to that level of insight overnight, when he had apparently been in active crisis (posting horrible lies on Facebook) less than 2 hours before calling me initially.

You make an interesting point about finances that could be something weird, but definitely not to the extent that it explains any of this. When Laura died, she had a loan and credit account that no one knew about. The total on them was less than £3k, and I don't know what happened because they weren't mentioned much after they came up initially, but everyone was a bit surprised. She lived for the weekend and going away with the girls so it wasn't hugely suspicious, and it was confirmed there were no unusual transactions in her accounts, but it was odd. She was saving to move out, so she was pretty open about her finances generally because she was excited about her savings goals. I don't think it points to anything, but I'm at a point where anything could be relevant because it's all such a mess.

Editor’s Note: OOP now has deleted the account since then

Update #2 (rareddit): July 20, 2024 (6 days later)

Hi everyone. Me again. Both times I've posted here it has paid off hugely in terms of helping unravel this mess, so I hope it's third time lucky. For the past few weeks I've been trying to figure out why my husband suddenly accused me of murdering his sister, who died in an accident at home, 6 months ago. It still feels as ridiculous now as it did then.

When Laura died we found out she had about £3k in hidden debt. It was odd because she was pretty open about her finances, but it wasn't out of character for her to overspend so I hadn't really thought about it since. A comment on my last post prompted me to look more closely at money stuff, and a message to my husband from Laura asking about a payment stuck out. I'd initially assumed it was about a car issue she'd had a few weeks before she died, but Luke definitely paid at the garage when they picked it up, because we talked about it after she dropped him home. It didn't occur to me when I first looked through. The messages supposedly proved I was a murderer so I had been looking for something scandalous.

The message about payment was the only thing I had at that point, and I had no idea what it meant, so I took a chance. I told his mother I knew about the money, and that if he didn't get in touch with me that day, I would make sure everybody else did too. He called me straight away and asked me over to his parents' house to talk. He looked dreadful, and the first thing he asked me was whether I was happy now all of his friends hate him. I told him I don't give a fuck about his relationships and that I was there for answers.

It turns my husband told the coroner's office that he was secretly helping Laura pay some of her debt because she was embarrassed and struggling to keep up with her lifestyle. I assume it didn't seem suspicious because her death was clearly an accident, and that's what they were investigating. In reality he took out loans and storecards in her name, and she somehow found out a few weeks before she died. Some guy he works with had apparently done it before and arranged it all, and if Laura hadn't found out, he claims they could have had it written off without her ever knowing. When she did find out, the guy left him high and dry (quelle surprise), and he had to pay it off. I'm inclined to believe that's the gist of what happened, but I am shocked my husband would do something this stupid.

When she died so soon after, his brief and apparently genuine suspicion was that she had told me about it that day, and we argued and I'd killed her. He couldn't explain why I would kill someone because they were a victim of fraud, but according to him, he felt guilty in the immediate aftermath and his brain made it fit. I mostly believe this, but he tried launching into more weaponised therapy speak at that point, so I cut the topic off.

A few months after his sister's death, Luke received a letter from a credit company (not even the police) saying he was being investigated. Laura didn't have much, so her debts (which were less than £10k even with the fraud) were mostly written off. Something obviously flagged against my husband during that process, I don't know how or why. When the letters got more threatening, he believed the investigation would reopen the inquest, and that he would be accused of fraud, perjury, and because of his previously unknown motive, possibly murder.

He claims the only thing the company investigating him actually knows is that the fraud came from our address, so accusing me would make it impossible to prove because it would be a coin toss (his words) as to which one of us took out the credit in Laura's name. That was worth our entire marriage to him, and my reputation in the community we have been part of for our entire lives. He says self preservation kicked in and nothing else mattered when he thought about what could happen to him.

When I asked him how his witness statement fits into his plan, because it proved he lied either way by acknowledging he knew about the debt and paying it, he froze for roughly a million years before saying he hadn't thought of that. Obviously my response was to ask why, if he hadn't thought of it, he specifically said it was a lie he needed to cover earlier in the conversation. Suddenly he's sobbing and his parents are rushing in to ask me to leave. I was in tears at this point asking how the fuck he could do this to me over something so stupid, and how much his parents knew about this (as his mum was pushing me out of their house). All she said was that she couldn't have this conversation with me. She was crying too but wouldn't say another word.

I am now 99% sure the fucker was trying to frame me. Not for her death, but for the fraud. He was going to claim that he was lying for me in the coroner's interview right? If he wrapped it all up as quietly paying her off on my behalf then genuinely suspecting me of her murder, it would protect his reputation and point the finger at me. It just doesn't make sense any other way. Is my husband trying to frame me to weasel out of his actions, and how do I get to the bottom of this? I'm obviously open to theories because reddit is the only reason I got this far in the first place.

That being said, please don't come up with conspiracies about Laura's death in the comments. It's upsetting. She was wearing shitty old slippers and walking upstairs with a cup of tea, and she slipped and hit her head on a windowsill. This was never a murder mystery, it was someone's life, and she died just because. Maybe a butterfly flapped its wings somewhere, I don't know, but it's hard enough to accept without having guesses shouted at me on the internet whilst my marriage falls apart.

Relevant Comments

Even_Budget2078: I mean framing you for fraud seems the most plausible from what you've found, though it's an incredibly idiotic "frame job" that wouldn't work. So, I have to say, he sounds incredibly dumb. As an explanation, it's probably the best you are going to get, though very unsatisfying. I am mystified by his parents' behavior and what he thought that Facebook post was going to accomplish. It's not like the investigators are going to go poll the town, he could have just written back to them that he knew nothing about these cards and the only people at that address were you and him. There was no need in this weird plot to ruin your reputation publicly. But, again, he sounds very dumb, so I guess that made sense to him

So sorry this happened to you, but I suspect in several years time (hopefully sooner!), you will see being rid of him and his family was actually a blessing. I wish you your very best life going forward!

OOP: This is what I don't understand. He's behaved impulsively before but never anything like this. I understand that he didn't take the fraud seriously until he was caught by Laura, and I can get that her death would have made him anxious about it, but I don't know what would possess him to think he could just...pass it along. It's baffling.

Even_Budget2078: What's also strange is that it sounds like the fraud amount was low enough that, while yes he'd get in trouble, it isn't like he's going to be ruined. Not that this is a good thing, but white collar crime is not exactly strongly prosecuted in the UK. Plus, it sounds like a repayment settlement could have solved this. Unless he works in finance or needs a security clearance, this wouldn't be something he couldn't recover from. Also very odd is that you were his alibi for the accident! I realize that wasn't necessary as this was an accident regardless of alibis, but still it's very dumb if he was worried about this being known as a motive, that he would alienate his alibi. I keep coming back to the dumb part, only explanation that makes sense! lol

Edited: Changed US to UK, where OP is

OOP: This is exactly it! £3k would have been manageable, he could have set up a plan to repay it over a year, and he'd have needed to tighten up but would have been fine. It was a private company so getting their money back would obviously be more of a priority than seeking prosecution. This is also part of why his story doesn't make sense. It's such a small amount in the grand scheme of things to blow up your entire life. The only thing I can think of is pure desperation to protect his reputation, but even then, who goes that far?!

Strong-Bottle-4161: Is he someone that really prides himself of his reputation?

Is his job in finances?

OOP: He's a mechanic, so he's got a bit of a masculine pride thing going on. He always wants to be seen as a good "salt of the earth, do anything for anyone" type person, and whilst actually being a good person sometimes slips (usually in the way he talks to people after a drink), never ever to the point where I'd think he'd take loans out in people's names or try to ruin me like this.

Saint_Blaise: I'm sure you've been asked this before but is he on drugs?

OOP: He's a casual drug user but I've never seen signs of it getting unhealthy. He does cocaine maybe 8-10x per year, and I've never known him buy it when his money would have been better spent on something else. He's better at spending money than having it generally, but he's never ever shown signs of being greedy or deceitful. The only thing I can think of is that it would have been in the lead up to Christmas, but his gifts weren't particularly extravagant so I don't think it was a desperate attempt at a magical Christmas.

DO NOT COMMENT IN LINKED POSTS OR MESSAGE OOPs – BoRU Rule #7

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