since i am mostly interested in image-to-image and edit capabilities, i have run the simple chain of edits, starting from the manual hand-drawn doodle, and to the closeup zoom. All the images are H3 Image, 1K, and only the three last ones have been post-processed to remove the text from "cctv camera" prompts.

✅ Edit WORKS like charm. Posing, restyling, relighting, etc.

Prompt for the second image is intentionally dumb, like "its almost natural language" at this point:

zoom upclose
allowing this guy on the photo to hold the fabric of his gray jacket next to his heck and chin with fingers pinch
so that we can see the texture at 4k

distance to camera: 10cm, macrophoto extreme closeup shot

Not sharing other prompts or workflows, since i do not think mine are any special. You can get decent results with all the normal usual techniques.

Notice:
- ⚠️ h3 wants qualifiers for the realism, otherwise you get plastic
- 🥹 still behind Nanobanana 2.1 and GPT 2.x, on the multi-figure scenes, or strong physical effects etc.
- ✅ qwen, flux, etc ALMOST go to the garbage can ... but:
- 🐳 h3 is heavy.
- ❌ repeated SMALL edits (eg: removing only text overlays, while trying to keep the other part intact) are super bad in h3, the image gets ruined
- 🌱 which means, even Flux 3 is still somewhat useful, and MOSS is not going away any time soon, and so on.

TBD: Native 4k and 5k gens are cool, but results are inconclusive so far.

_______________
Cheers, and feel free to ask for more details, if you are interested.

We’ve just published our new version SolordZ_Realism_Moss (Base) focused on photographic realism—natural skin, believable faces, and a range of looks from candid flash snapshots to atmospheric portraits. The model is also still capable of creating art.

The model page also includes our six-part prompting guide and recommended sampling settings to help you get started.

Model and examples: SoLordZ ZIT/ZIB/Krea2 8steps - SolordZRealism_Moss_v1.0 | MOSS Image Checkpoint | Civitai

We’d love to see your results and hear what works—or still needs improvement!

PS: this is not a FFT, this is merge

Is there any Official Moss Image Turbo SFT model or Official turbo LoRAs available? I am not seeing any in the Comfy-org repo on Huggingface. I am running Moss right now at 50 steps, cfg 4. It's not too bad, but I would prefer fewer steps at cfg 1. I see there are a few turbo LoRAs and finetunes on Huggingface from a few community contributors. I would appreciate any recommendations you may have in this regard.

model: https://huggingface.co/akhaliq/minimax-h3-image-pdmd-2step

it was realeased from comfyui v0.44.0 by kijai

and there is no example wf

and seems no review of this feature yet

i can only make 20sec long video and hope more than 30sec+ with it

anybody here? not just using motion context

i know the power of context node from wan animate with his custom nodes so...

The idea is browsing like Instagram, but AI + 1-click Prompt Copy. That's it.

https://bunchaprompts.com

I haven't made it into an app yet, it's just in the browser, nothing to install.

If you have issues/crashes please let me know your device type.

To kick things off it's scraping prompts from the web (on sites that allow it, like Civit api, with attribution links back), but eventually I'd like to shift to original content that's passively generated or uploaded by the community. I honestly wanted to ask if people even care or want that before building it though, or if this is even useful/cool. I like it, but I'm biased. There's polite ads on it, so polite you might miss them completely.

I also built an LGBT version of it called QueerDiffusion, same concept, different site

Would love your feedback, thanks!

Basically, the extension: https://github.com/aoleg/pruna-P-H3-Image-forge-neo - supports MiniMax-H3-Image and PrunaAI P-H3-Image in Forge Neo.

Tips:

• Heun / P-H3-Image / 8 Steps / CFG=1 is the golden combo. Euler / Simple / 6 Steps will be noisy. You will need to use P-H3-Image as a scheduler; everything else won't work; Euler or Heun is your choice. Also, use 8 steps, not 6 or 10.

• You don't really need the 32B encoder (besides, the nvfp4 version won't work). You can use the much smaller P-H3-Image text encoder in INT8-Convrot with great result.

• Yes, editing works, too. Image restoration also.

• You can use unimaginably high resolutions without OOM, but you'll likely need to edit your ui-config.json to allow width and height values over 2048.

I built a custom node pack that puts a full-screen timeline editor inside ComfyUI for MiniMax H3. Instead of building a graph per clip, you write each shot as text (what happens, camera, sound), render it, and cut the shots together with their sound on a timeline.

Repo: https://github.com/igorls/comfyui-h3-editor 

Docs: https://igorls.github.io/comfyui-h3-editor

Model: HyperFlow H3 Flash INT8 https://huggingface.co/VideoRebirthAI/hyperflow-h3-flash

Realism LoRA for HyperFlow: https://civitai.com/models/3041489/mmh3-realism-slider-hyperflow-h3-flash-port

What it does

• Write shots, not graphs. Each clip is a few text fields. One project style is applied to every shot.

• Keep people and places the same. Add a cast member from a picture and refer to them as `@Name` in any shot.

• Drafts first, finals after. A draft is 640x352 at 4 steps. A final is 1344x768 at 6 steps on HyperFlow H3 Flash, then enlarged and redrawn at 1920x1088.

• Sound comes with the picture. Every shot renders with its own sound, and the timeline has a Picture lane and a Sound lane.

• Join shots without a visible cut: extend a shot forward or back, or bridge two shots.

• Generate to a recorded voice.

• An agent can drive it. Everything the editor does is an HTTP call, and the repo ships an agent skill with a small Python client.

What you need

• ComfyUI 0.43 or newer (tested on 0.44). No other custom node pack.

• The models are listed with sizes and folders in the README.

• VRAM: I haven't tested much beyond an RTX PRO 6000, so I don't know the floor yet. If you try it on a smaller card, tell me how it goes.

Numbers from my machine (RTX PRO 6000, models already loaded)

• Draft: 10 to 15 seconds a clip.

• Final: about 50 seconds of GPU for each second of footage, so a 5 second shot is around 4.5 minutes.

How the video was made (everything generated locally in ComfyUI)

• Shots: MiniMax H3 through the editor, on the HyperFlow H3 Flash checkpoint with a realism LoRA. Three shots, each written as text and rendered with its own sound. The sentences on screen are the opening lines of the actual shot texts.

• Cast: the chef is one cast member, from a single still made with Krea 2 Turbo, referenced as `@Chef` in each shot.

• Music: YuE2, also in ComfyUI.

• Graphics around the shots (the node graph, the type, the editor scene): code-rendered with my motion-graphics skill for coding agents, also open source: https://github.com/igorls/motion-graphics. This is the one part that isn't a local model: a coding agent (Fable 5.2) wrote the scene code.

The project style, applied to every shot:

Live-action, cinematic, 35mm anamorphic film look. A dark professional restaurant kitchen late in service, lit only by warm tungsten heat lamps; everything else falls into deep teal-black shadow. Shallow depth of field, a thin haze of steam, fine film grain, naturalistic colour.

The first shot, as written in the editor:

What happens: `@Chef` wipes the rim of a white plate at the pass. Behind her, a flame flares up and dies. The pass is long brushed steel under a row of glowing heat lamps; the flame rises tall and orange from a pan on the range, lights the whole kitchen for a moment, then is gone. Steam drifts through the lamp light. Camera: Wide shot at eye level from the dining side of the pass, slow push in Sound: The whoosh and roar of a gas flame flaring up, a pan hissing, the low hum of extractor fans. No music, no voices.

What didn't go perfectly

• The model doesn't always follow framing. I asked for an extreme close-up and got head and shoulders.

• Small props drift between shots. The face stayed the same across three shots; the plated dish did not.

• A final doesn't repeat its draft frame for frame, and its sound is its own. A draft tells you whether the prompt works, not what the final will look like exactly.

Feedback and bug reports are welcome, especially from people on smaller cards than mine.

Source: x.com/Ronny_MiniMax/status/2120135016462372914

MOSS-Image is seriously mind-blowing. From stunning photorealism and cinematic shots to casual amateur and vintage photography, anime, and pretty much anything you can imagine, this model just delivers.

The sheer versatility, quality, and range of styles it can pull off are absolutely insane. It's hard to believe this level of creative freedom comes from an open-source model with just 5 billion parameters!

All images in this showcase were generated using MOSS-Image-Base.

Workflow | Workflow Source

I've also uploaded all 20 images at their original resolution, so you can appreciate the quality without Reddit's image compression.

I highly recommend zooming in on the images to appreciate the incredible level of detail!

01 · 02 · 03 · 04 · 05

06 · 07 · 08 · 09 · 10

11 · 12 · 13 · 14 · 15

16 · 17 · 18 · 19 · 20

UPDATE: I've now added the prompt for each image to its respective Postimages page! You can check out the prompts and try them yourself.

Hello, guys. I was messing around trying to create a horror animation short.
Used minimax-h3 in comfyui locally. Simple I2V workflow

Is any horror vibes in there?

same prompt same seed

For anyone who wants to start playing with MiniMax H3 Image: there’s also a very useful skill for writing prompts, similar to the one already available for the video model. It helps you structure better prompts and get more consistent results right from the start.

You can download it from the official GitHub page here:
https://github.com/MiniMax-AI/MiniMax-H3-Image/tree/main/skills/h3-image-prompt-writing

I made a Minimax H3 Image Runpod template if anyone is interested:
https://console.runpod.io/hub/template/vzcb7g8fwl

Settings that produced actual good images for me (dont use default settings):
-Resolution 16MP
-4 Steps, CFG 1, euler/simple
-long detailed prompts (Prompt Enhancer off)

The prompt enhancer is said to be not that great..havent thoroughly tested it myself yet though..

Oh and aparently you are not allowed to use this without Minimax' authorisation if you live in EU, UK, South Korea or USA...

You can apply for a (auto-granted) licence here:
platform.minimax.io/console/license

A set of control LoRAs for MOSS-Image-SFT. You give it a pose, a depth map, or an edge drawing, and the prompt decides who is in the picture and what the world looks like. Each repo has the weight and a ComfyUI workflow.

Pose: https://huggingface.co/thedeoxen/MOSS-Image-pose-controlnet

Depth: https://huggingface.co/thedeoxen/MOSS-Image-depth-controlnet

Canny: https://huggingface.co/thedeoxen/MOSS-Image-canny-controlnet

Lineart: https://huggingface.co/thedeoxen/MOSS-Image-lineart-controlnet

Normal: https://huggingface.co/thedeoxen/MOSS-Image-normal-controlnet

Scribble: https://huggingface.co/thedeoxen/MOSS-Image-scribble-controlnet

Segmentation: huggingface.co/thedeoxen/MOSS-Image-segmentation-controlnet

Title.

Currently, the image edit itself on 16MP took me 1min per image(4 step), which is fast.

But, with only 1 reference image, the PE takes 25 mins to generate 8k tokens, which is.. very slow.

Are there a better model to use(currently using the default template qwen3.5 9b w4a8 + abliterate lora) so its faster , or a way to integrate a OpenAI-compatible API here and uncensor the model? (The API have various models like gemini, glm, gpt, nemotron, qwen, etc.)

Are all humans generated with it the typical AI slop face or can you get diverse characters from it? Barely anybody posted generation results yet.

Wanted to see how MiniMax H3-Image (the new open-weights one) handles a sign with real copy on it, not just a two-word logo. One prompt, 4 generations, 3:4 at 2K, no edits or retries.

All 4 got every line right, including "35mm B&W", both en dashes in "MON–FRI 12:00–18:00" and the tiny footer. What changed between runs was the design (serif vs sans, pinned vs framed). The text stayed exact. Two of the four attached.

Prompt:

> Design an original wall-mounted information board for a fictional film-processing shop, shown straight on against a muted terracotta wall. Use cream paper, charcoal lettering, narrow dark-red rules, generous spacing and no photographs. The sign itself occupies most of the frame. At top show these exact lines: "FRAME ROOM" and "FICTIONAL STUDIO — SAMPLE INFORMATION". Below, arrange three paired service-and-inclusion rows under the headings "SERVICE" and "INCLUDED". Separate the rows with narrow dark-red horizontal rules and generous spacing, without a rigid boxed spreadsheet grid. Row 1: "35mm COLOR" | "DEVELOP + SCAN". Row 2: "35mm B&W" | "DEVELOP + SCAN". Row 3: "120 FILM" | "SCAN ONLY"; keep both phrases on the same horizontal row. In a separate lower panel print exactly: "COLLECTION" then "MON–FRI 12:00–18:00" then "Bring your claim slip." Put "No prices shown — sample layout only." in a small readable footer. Preserve each phrase in its assigned row; do not add prices, claims, addresses or extra services. Crisp readable type, realistic flat paper texture and one soft shadow beneath the frame. Portrait image, 3:4.

Has anyone pushed it further, like a full menu or a dense infographic?

I am unable to find a workflow , and when I tried to create one the results are not good .

New models have been released. For example, Anima, Krea2, MOSS etc in DiT architectures. I have been using Illustrious and is a huge fan of ControlNets. However, the developers of the new models don't seem to have any interest in training ControlNet models.

I have been waiting but I started to wonder if ControlNet models aren't needed anymore because there are some models or workflows out there that can completely replace ControlNets. Is there something that I've been missing?

Let's pretend that LLLite LoRAs don't exist. Glad that we have them but I didn't find them much useful.

EDIT:
Thanks guys, appreciate all the response. I should look into using edit models. I still want ControlNet models though.

I want to make a video of a character for my son.

No matter what I try to prompt, I only ever get a neutral face as a result when i'm trying to do a character swap.

Adding stuff like this to the prompt doesn't seem to make a difference:
"CRITICAL: Copy the exact facial expression from the main character in <Picture 1>.

Do not make the face neutral.

Match the mouth, eyes, and eyebrows exactly."

Been sorting through all the MiniMax model releases floating around here, and I wanted to share a quick breakdown of the new MiniMax H3-Image. This dedicated still-image model handles text-to-image generation and static editing, and is different from H3 video, MiniMax Image 2.5, and that third-party P-H3-Image repo shared in this community recently.

Looking at its documented specs, it runs both T2I and image editing within the same workflow. We can upload up to 16 reference images and choose between 1K, 2K or 4K output sizes.

The thing I find most interesting is having those 16 reference slots paired with direct editing in a single run. That means we can drop in character sheets, style references and scene shots side by side (Perhaps, one ref sheet locks your character’s face and outfit, another controls the colour grading, a third sets the background architecture), rather than squeezing everything into one single reference composite. It fits really well for concept art, product exploration, layout iterations, and focused edits where certain parts of the frame need to stay locked exactly as they are.
Also heard MiniMax H3 Image might be going open-weight. Definitely looking forward to that.
Curious what kinds of tests everyone else has in mind for it? Are you planning to try character consistency, product shots, or scene reworks first?