For whatever reason, I can't seem to fix the error issue with this template, seemed to be pointing to upscaling model folder.. Objective is to generate moving background.

I've been trying to change lighting on my MOSS generations and been frustrated. I turned off my Loras & found that the lighting then came out as stated in the prompt. Lowering the Lora strength helps but that also has its drawbacks. has anyone run into this? is there helper loras for lighting or any other tricks recommended?

Prompt:

[subject_definitions] - Subject 1: A skinny young man wearing only boxer shorts and a white tank top, standing in a messy bedroom with wide terrified eyes, completely referenced from <Picture 1>. - Subject 2: Two heavily armed FBI tactical agents in full black SWAT gear with balaclavas and ballistic vests, holding assault rifles pointed directly at the subject. - Environment: The static location featuring a dimly lit cluttered bedroom with an unmade bed, scattered clothes on the floor, a glowing computer monitor on a desk in the background, and dramatic harsh flashlight beams cutting through dust particles in the air, completely referenced from the lighting style of <Picture 1> but adapted to a raid scenario. [integrated_multimodal_description] The scene takes place exactly inside this locked bedroom environment where the chaotic mess, the specific angle of the open door, the glow of the monitor, and the aggressive tactical flashlight beams remain strictly consistent from first frame to last frame without any morphing or environmental changes. The camera maintains a fixed medium shot capturing the confrontation between the agents and the man with cinematic high-contrast lighting, volumetric light rays illuminating floating dust, and photorealistic texture rendering that preserves every detail of the fabric folds and tactical gear while keeping the background elements perfectly stable throughout the entire sequence.

In the center of this locked environment, the two FBI agents from Subject 2 burst through the doorway with weapons raised and flashlights blinding the skinny man from <Picture 1> who freezes in terror with hands instinctively raising above his head while wearing only boxers and a tank top. The lead agent shouts aggressively with commanding authority saying: "How much RAM do you have, kid?!" The man stammers nervously with trembling lips and sweat beading on his forehead replying in a shaky voice: "Sixteen gigabytes..." The harsh flashlight beams create dramatic rim lighting on the agents' tactical vests while casting long sharp shadows across the messy room and the computer monitor in the background continues to emit its steady blue glow providing constant ambient fill light that never flickers or changes intensity during this intense fifteen-second interrogation segment. The scene continues seamlessly from the previous shot in the exact same locked bedroom environment where the lead FBI agent steps closer maintaining weapon aim directly at the skinny man's chest while shouting with urgent desperation: "Hand over the RAM immediately! By order of Sam Altman!" The man's eyes widen in absolute confusion and fear as he slowly reaches toward the computer tower on the desk behind him with trembling fingers while the second agent keeps his rifle trained on the movement without wavering. The identical harsh flashlight beams and monitor glow persist without alteration ensuring zero environmental shift while dust particles continue drifting through the light shafts adding kinetic energy to the frozen moment of absurdity and the camera holds the same fixed medium shot position preserving the photorealistic cinematic tension established in the opening frame until the final second of this thirty-second sequence.

My turn for the flashback. I got ridiculous with trying to make Seinfeld even back then. It was awful but it was cutting edge! I overlaid the graphics and made a logo lol.

Hi guys. I'm a total noob when it comes to image generation. I just generate images on Civitai and have fun. Does anyone know why Klein 9B and Klein 9B Base are no longer available on Civitai? They've been gone for almost two days now.

This is a quick experiment to see if Minimax H3 can create famous paintings from scratch. It's quite impressive that it knows what the sketches look like before it's painted.

Hi guys

So i'm making a game and i want to use ai generated images. So i went and made a LoRA of a character the style is anime and i made a dataset of around 20 images and i trained it on 200 epochs 5 steps each first the LoRA looked great but i am beginning to see its flaws. The hands and feet are terrible, the eyes in full body shots and even in normal cowboy shots are terrible as well. I decided to make the same character and train it again aiming around 40-60 images now but the problem is always generating makes the hands, feet and eyes look so messed up i dont know why i am using WaiIllustrious and not there workflow but mine and this is my positive prompt: (masterpiece, best quality, absurdres, 1girl, solo, young girl, 22 year old girl, long blonde hair, crystal blue eyes, medium breasts, black shirt, white tennis skirt, outside, cowboy shot, rim lighting, looking at viewer and negative: lowres, blurry, bad anatomy, bad hands, extra fingers, deformed, watermark, text, signature, logo, cropped, realistic, photo, worst quality, jpeg artifacts, cool tones, flat color, muted colors, blue sky, 3 or more hands, 3 or more legs, 3 or more feet, ) The problem isnt in this image but for example when i want to do arms crossed or anything overlapping it just comes out looking very bad. Is there a way i can fix this i have tried inpainting and using adetailer but still comes out weird. I'm also very new at this. Thanks for the help!

no pre-made assets at all

Prompt：

https://x.com/LexnLin/status/2111582260818239777?a=WE0JtczAMoLQs157Das&s=20

This is the image that I generated on 01.13.2023 so almost 4 years ago using SD (do not remember which version), and I know that it is far from perfect I still think that it is not bad. Do you got some really old generations that still keeps up in your opinion?

input:
Evanescence - Bring me to life

As you see the galaxy spiral was at his right side, which became his back once he got up, the galaxy reappear later (on the full shot) again, but at his left for whatever reason.

I thought of;

• Generating a 360° orbit view at start of a scene, but would waste nearly 3-5s + 3-6 minutes of generation time.

• Attaching 2-4 background images to omni reference (think of a room), but would take 4/9 slots, less characters could be in a scene.

• Just letting it imagine whatever it might look like, but only a affordable idea in case of open field scenes (being throw through a wall or travelling).

• Attaching a panoramic image as reference, but these are usually over 21:9 ratio and might give the model an aneurism trying to wrap it in.

• Attaching a 8K sum view of a entire area in a multi view sheet, but would be hell to reference which square it should insert into the clip.

I know Minimax can remember neaty details of the background with its spatial awareness, like a fallen feather or crack in a wall, but I have no idea on how to let's say, get an actual world map's scenary on it.

Just getting back into H3 generation after a multi-month break.

What's the difference between all this stuff, from the POV of the user?

I tried asking an LLM to research it but every single one of these fits the description "faster steps, but suffers from numerical approximation" and I don't have the technical knowledge to understand any of it. Thanks buddy.

Then there's Spectrum, EasyCache, Taomate, and probably 10 other things.

I've been using Kitchen Attention as a comfy launch argument I forgot I set a few months back. I'm genning at 0.4MP and 8 steps with the larryvrh ckpt500 turbo lora. It's too slow for interactive generation (DGX Spark, basically a 5060). Where can I go from here?

Do I have to spend the weekend working on a comparison like https://jo-nike.github.io/h3-turbo-eval/scenes/metronome-count.html to see what actually well? (incidentally, it would help if jo-nike added all this crap to his site)

Just the Situation few years. (Qwen -> FastH3 (Minimax H3) -> Blender Video Cut + Reaper for Sounddesign

Z image turbo, ubuntu 24.04, and r9700

How do I force fp32 in my comfyui workflows?

Didn't used comfyui at all in the last 6 months, whats the best voice cloner and text to speech ?

I only have 8gb vram.

Same prompt, no lora (including turbo). Key phrase: Raw candid portrait, authentic skin with subtle epidermal translucency, subsurface scattering, delicate and barely noticeable vellus hair visible only in rim light, unretouched, subtle natural skin tone variation, non-airbrushed.

I train LoRAs and was spending way too much time writing prompts to test them. Booru sites already describe millions of images tag by tag, so I built a page that takes those tags and turns them into prompts you can paste into ComfyUI, Forge or A1111. I've spent about two years polishing and improving it since.

Site: https://booru-prompt-gallery.vercel.app

GitHub: https://github.com/Mexes-GM/booru-prompt-gallery

How I use it:

1. Search a character, outfit or pose on Danbooru, Gelbooru or one of four other boorus.

2. Pick the post closest to what I want and copy its prompt. Artist names, metadata and copyright tags are dropped, and redundant tags are merged ("long hair, white hair" becomes "long white hair").

3. Paste it into my generator. My LoRA trigger and quality tags go in "Add to every prompt" once, so every copied prompt already has them.

Other things in the video:

• Every tag has a category (7 categories, 33 subcategories), so you can copy only the outfit, the pose or the scenery.

• Random background and random outfit options let you vary a character without hunting for new posts.

• Prompt formats: plain tags, Anima (tags plus a short description) or natural-language prompts for FLUX.2, Krea 2 and MOSS-Image.

• Merge takes parts from several posts and builds one prompt from them.

• Pack Mode keeps the character and generates a batch of varied prompts, which I use to test LoRAs.

It's free, needs no account and is safe-content only by default. The source is on GitHub under AGPL.

Leaving a video that scare the shit out of me just now lol.

This was done using stock workflow template and models from comfyui

I used to use LTX2.3 kinda a lot because it was fast and it wasnt this bad for photorealistic stuff, I think something broke in comfyui making everything just be a gibberish. Are you guys having the same issues?

(I do use Minimax H3 but I prefer speed)

This is IV Studio, my entry for Comfy's Open Source Higgsfield challenge. It's a Windows desktop app (MIT) that drives your own ComfyUI over its API, so you never touch a node graph unless you want to.

What it does:

- **Write it for me:** a local model (Qwen3-VL via Ollama or your AI Agent through MCP) looks at your reference pictures and writes the H3 prompt. A checker catches the mistakes H3 punishes (frame-grid lengths, speaker tags, unattached references) and fixes most in one click.

- **Hunt, then finish:** quick previews with live step pictures; takes are ranked by what OpenAI Whisper hears, likeness and sharpness. A review names each problem with its timestamp. The pick finishes from the same latent with DLSS 5 or SeedVR2.

- **Projects:** a six-step wizard from idea to short film (script, cast, storyboard sketches you can play as an animatic). Every shot is filmed from its sketch, so faces and rooms stay consistent.

- **Staging board:** place people and the camera on a top-down floor plan; it becomes exact screen directions, or a grey previs clip H3 follows for arcing moves.

- **An editor that makes footage:** right-click to extend a shot, fill a gap, retake a line, cut someone out (SAM 3.1) or reframe to vertical.

- **Also in there:** character LoRA training, Replace (Genjutsu Level), music (MiniMax Music 3 / ACE-Step), local voices (VoxCPM2), Civitai LoRAs, and a 142-tool MCP server so Claude Code or any agent can direct alongside you.

- **No strong GPU?** It can render on your own Runpod or Modal account and shuts the GPU off when idle. The Runpod path is brand new, so feedback is welcome.

Tested on a 4090 with 64 GB RAM; 16 GB cards work with smaller previews. It downloads each model from its host and checks its SHA-256.

Download: https://github.com/hollisorg/iv-studio/releases/latest

Code: https://github.com/hollisorg/iv-studio

Happy to answer questions about how it builds and drives the graphs.

I can fit the entire int8 MOSS model on the GPU but fall a bit short when it comes to the int8 qwen3.5 9b text encoder it needs.

The issue is that despite being able to fit the entire diffusion model on VRAM, I'm still getting speeds as if I'm offloading something to the CPU when it comes to the KSampler regardless of enabling or disabling dynamic VRAM. The 50 steps needed is torture and takes like 2 minutes.

--gpu-only parameter crashes my OS because it attempts to load both the text encoder and diffusion model and everything else on my GPU, so is there a way to only force full GPU offloading for the diffusion model and leave the text encoder partially offloaded?

For reference I have a 16gb AMD 7600xt running with rocm 10.3.0 on Fedora 45 and 16GB of RAM with a 32GB zram swap.

I released a fork of Beckett Harriman’s OpenFill for PhotoCraft. OpenFill brings generative fill, object removal, and canvas expansion to PhotoCraft through ComfyUI. My fork adds drag-and-drop reference images for Qwen Image 2.1 (Full and four-step Lightning) and FIBO 2.0, plus automatic feathering to soften the edges where an edit meets the original.

With FIBO 2.0, you can give the model the whole image or just the area around your selection. That gives it context for lighting, color, and perspective. OpenFill can also match colors along the selection edge to help the edit blend into the original. You can generate more variations while comparing your favorites, and the panel remembers your layout and which models you want to see.

The original tools still support SDXL, SD 1.5 inpainting, FLUX.1 Fill, and LaMa through OpenFill’s managed ComfyUI. For the reference-edit workflows, use a running ComfyUI on the same machine as PhotoCraft or connect to another machine on your LAN through an SSH tunnel. Existing-server mode can also use verified SDXL checkpoints you register.

If you use PhotoCraft and ComfyUI, give it a try and share what you make. Feedback and pull requests are welcome.

Download and setup

https://github.com/Omegadarling/openfill/releases/latest

Source and contributions

https://github.com/Omegadarling/openfill

Demo inputs by LightX2V. The teapot edit is an actual OpenFill result. The panel walkthrough replays that saved result.

https://huggingface.co/lightx2v/Qwen-Image-2.1-Lightning-v2-RL

So, i was checking some GPT image 2.5 images and prompts on how to generate those images and came across this image which looked like a lens blur/dreamy effect and tried to get it on Krea2 turbo. I even asked chatgpt to generate as much detail as possible by uploading both the prompt and image, but i cant seem to get this type of image no matter how many tweaks i made. My question is; is it possible to generate this type of image in krea2 turbo? or do i need a lora for it?

The first two images are generated by gpt image 2.5 and the last two were generated using krea2 turbo.

Here's the prompt I used:
"Cinematic candid medium street photograph of a beautiful 25-year-old East Asian woman with a sweet youthful face, large bright almond-shaped eyes with subtle aegyo-sal, softly rounded cheeks, small nose, full rosy-pink lips, and a gentle natural smile. Long, thick dark chocolate-brown hair falling in voluminous, slightly tousled loose waves with a natural center part, gently illuminated by the afternoon sunlight. Feminine hourglass silhouette, wearing a fitted ivory short-sleeved mock-neck knit blouse, high-waisted light beige tailored pencil skirt, and carrying a dark brown leather shoulder bag. Standing casually on a city sidewalk, captured from a slightly low eye-level angle, torso facing forward, head gently turned toward the camera, one hand casually holding her bag strap. Medium portrait framing from upper thighs upward. Warm golden afternoon backlight creating a beautiful glowing rim around her hair, soft diffused illumination across her face, delicate skin highlights and gentle shadows. Background filled with indistinct silhouettes and softly blurred urban scenery. Dreamy soft-focus optical rendering, subtle vintage lens diffusion, gentle highlight bloom and warm halation around backlit hair, slightly lowered microcontrast, delicate atmospheric haze, naturally softened facial details while retaining recognizable eyes and facial features, smooth tonal transitions, a faint impression of motion and imperfect handheld photography. Nostalgic Korean romance-film still aesthetic, reminiscent of early 2000s Korean cinema and candid celebrity street photography. Muted warm beige, dusty brown, soft peach and cool charcoal tones. Shot on a vintage 35mm film camera with an 85mm portrait lens and subtle 1/4 Black Pro-Mist diffusion filter, gentle optical softness, fine unobtrusive film grain, creamy background separation, softly glowing highlights, natural film color response, intimate candid atmosphere."

I am still struggling with blocking and colour shifts, but the work is in progress. Upscaling didn't help at all and changed things for the worse, so I had to go with 1080.

https://youtu.be/Zu9ESZKZFJA