Could be actions, like “guy walking into store”

The same scene at different times of the day.

The same character doing different things.

You get the idea.

Some features:

• Run through ComfyUI or without ComfyUI using Launch.bat or Launch.sh on Linux.
• Multi-view and Image/Video Compare
• Ingrained image and video controls; zoom, slideshow, rotate, hide timeline (H key), loop video etc.
• Intuitive keyboard shortcuts.

Install:

cd ComfyUI/custom_nodes

git clone https://github.com/Maxed-Out-99/ComfyGallery.git

Hey everyone, my Zelda stories are getting too crazy and my next "Link & Zelda can't escape from PlayStation land" video is... On development hell for now (it might be too offensive!) I decided to just test out how would Card Captor Sakura would look in a 3D / K-pop demon hunters style. All done in my RTX 3090 locally, 1MP 9:16 aspect ratio (736x1344). 3s clips take only 170s to generate!! Let me know if you like it, sorry for making such a short video this time.

Note: I edited the clips to sync them correctly to the music, also brought back the original music because H3 tends to deep fry it for some reason...

Taking the random cutaway clips from The Simpsons and recreating them in Minimax H3

So it's the first time I finally am fully satisfied with the quality of my H3 videos and it's thanks to the new 3D Latent Upscaler of H3 of HuggingFace.

Hi guys
I'm going to give a try to one of these merged models
I'm between

Kijai minimax_h3_fastvideo_vsa_datafree_1300step_4step_int8_convrot.safetensors
https://huggingface.co/Kijai/MiniMax-H3-experimental/blob/main/minimax_h3_fastvideo_vsa_datafree_1300step_4step_int8_convrot.safetensors

or MATLOWAI/minimax-h3-fused-turbo-int8-convrot
https://huggingface.co/MATLOWAI/minimax-h3-fused-turbo-int8-convrot/tree/main/diffusion_models

What are your experiences with these two models ? which one should I go?

My laptop doesn't powerful enough to run minimax H3 local so i need easy way to run minimax h3 on the cloud . I already try few methods like Google collab but fosent work and always keep making sever error and the other comfy ui clouds in different site dosen't load very properly. So yeah if there's any ways to run comfyui online for free or minimax h3 local i will appreciate it

Hello, I need some help with MiniMax long-video generation. I’m currently using the Plague workflow, which is fast, but it doesn’t have an option for chaining clips. Are there any workflows that can generate longer videos more quickly while maintaining continuity between clips?

Hey Guys,

Based on the previous post on face consistency with MM-H3, Couple of people have asked me to build a full character workflow.

Mechanism

- Build .Char: You drop max 9 reference reference, I prefer to use a ratio 2:2:1(face:cloths:body). YuNet finds the face, SFace takes a per-reference face signature, DINOv2 takes a subject signature, and the references get cleaned and normalised. All of that packs into a single portable file, a .char.
Only face/ref is required body & cloths link is optional.

- Generation: At generation, the file(.char) feeds its references into Minimax’s own native multi-reference channel and prepends a locked description to the prompt.

Prompting Guide

• Name your character: Give your character a name e.g. under encode character(Click adjust icon on the bottom side of the node), I have used name emmy, so when passing prompt, I only have to say, emmy walking on the beach.
  • Again providing prompt like a woman or any features specific details like black hairs etc will only mislead the generation.
• Describe character features: Encode all of the character features in encode character prompt & trigger your character with a name in generation prompt.
  • Avoid describing same things in generational prompt.
• Handling Character drift: e.g. if you want specific style or cloth e.g. half sleeves, sleeveless, add it to the generational prompt. There can be a slight drift in clothing as body shot also has cloths, which interferes with clothing references.
  • Each refs should be unique, face should not have body or vice versa, same applies for clothing.
• Portability: Once character is built, you can use the same character with only simple prompt & generation graph.

I have generated all references with Flux Klein 4b, I had to blur the body ref, but workflow consists a example of body ref.

Note: For best result, pass cropped references, so that model takes the required shot, model gets confused if cloth slot also has a face or face slot has cloths.

Models

core/models/
  diffusion_models/  minimax_h3_ref2va_pruned_fp8_scaled.safetensors
  text_encoders/     qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors 
  vae/               minimax_h3_video_vae_fp16.safetensors
  vae/               minimax_h3_audio_vae_fp32.safetensors
  annotators/        face_detection_yunet_2023mar.onnx
  annotators/        face_recognition_sface_2021dec.onnx
  annotators/        dinov2-base/

Requirements

Nvidia GPU: 24GB+ VRAM & 64 GB RAM(Run Locally)

Workflow link: https://inlinestudio.art/workflows/minimax-h3-guided-consistent-characters-via-reference-identity-face-body-cloths (includes inputs & model details)

Github Repo: https://github.com/inlineresearch/Inline-Studio (GPLV3)

Limitation: Reference conflicts e.g. if two reference/input images has two different faces, it might conflict in generation, provide well cropped body & cloth images. Face images are crossed automatically by Sface.

Portable char comfy node is still on the backlog, would try to do it over the weekend.
Happy to hear any suggestions or feedbacks.

I developed a modified version of the Load Image node by adding some features I needed:

WYSIWYG image cropping directly on the official Load Image preview — drag and zoom (with the mouse wheel) a crop rectangle constrained to 8 fixed ratios (1:1 through 21:9) and output the exact cropped IMAGE and MASK, with paste-from-clipboard built in. What you frame on the preview is exactly what gets executed.

⚠️ Currently not fully compatible with ComfyUI 2.0 nodes.

Update v1.0.2 with support for 2.0 nodes has been released. Available on GitHub and ComfyUI Manager (Load Image + Crop).

GitHub: https://github.com/domg73/ComfyUI-LoadImageCrop

Growing up with Toonami watching Gundam, it simply blows my mind how far AI has progressed. For this video I didn't use any reference images, I simply described the scene in text and had Gemini research the techniques of animation to translate to MiniMax H3.

I've been struggling to get MiniMax H3 efficiently setup locally, would take me 15mins on a 9950x3d and 5080 RTX with 64gb DDR5 so I know something is wrong, hence this time I opted for fal to test. The music was added and scenes were edited from separate generations.

https://github.com/chaiNNer-org/chaiNNer
https://chainner.app/
https://huggingface.co/jan-grzybek/historical-map-sr-x4

Physics Testing, without the gore.

Took a few little prompt adjustments here and there to get H3 to respect point-of-view. I found that if you refer to "the viewer" (ie, "she kicks the viewer"), H3 is more predisposed to include an actual second person. But if you refer to "the camera" (ie, "she kicks the camera"), it's more predisposed to keep the desired point-of-view perspective.

What do i do wrong? When i have a female character and she wears like a shirt her breast shrink.

I work in Krea 2.

It looks like the clothing preventing the anatomy. Or, i don't really know.

Thanks

Hey r/StableDiffusion!

It's the Neta team here! You might remember us from our Neta Lumina open-source release last year. First off, thank you so much for the incredible support and feedback from this community!

So... we need to share something absolutely hilarious (and mildly embarrassing) that we just discovered.

TL;DR: We accidentally hardcoded an Anne Hathaway photo into our IP-Adapter anchor, and now everything our model generates looks like Anne Hathaway. Every. Single. Thing.

What happened:

We recently launched Neta Studio, a new product that lets you build explorable living worlds/isekai from a single prompt. Naturally, we wanted to integrate Neta Lumina's capabilities into it.

During integration testing, our devs kept reporting that the model wasn't following prompts properly. The outputs were... *weird*.

- Anime style? Anne Hathaway as an anime character.

- Thick paint/impasto style? Anne Hathaway in thick paint.

- Landscape scenes? Somehow still giving Anne Hathaway vibes.

- Fantasy characters? You guessed it - Anne Hathaway.

After a dreadfully long time of debugging, we finally found the culprit: **someone on the team embedded an Anne Hathaway photo as the IP-Adapter anchor during development and it... stayed there. **

We're honestly crying laughing at this point. 😭

Below are some examples. Left is before fix and Right is after fix.
Flipping to the last picture and you can see our dear Anne.

And we pulled the anchor and the outputs are behaving normally now.

If you've been running Neta Lumina locally, this was on our integration side, not
in the released weights, so your setup is fine.

work on this going really great just wanted to share the results so far

My workflow uses MINIMAX H3 + LTX 2.5 for UPSCALE

if you wanna try you can check it our on my PATREON EARLY ACCESS

Will Release it as soon maybe within this week!

Minimax H3 baby! It's not perfect and I would love to get your feedback and maybe some tips on how to get rid of plasticky skin.

Video link: https://streamable.com/irnjvm

Check video above.

Running MiniMax H3 Turbo on a spare laptop with Quadro RTX 3000 6GB VRAM and 64GB RAM.

352×608, 8 steps, Euler + Beta, Turbo LoRA @ 1.0. Takes ~550 sec for a 5-sec video.

I know the GPU is very limited 😅 Quality isn’t great, but it runs without OOM, so I’m wondering if I can push it further.

Any tips on what to do for better quality? Except for buying a new GPU.

Prompt:

integrated_multimodal_description: [Shot 1] 3D CG, stop-motion animated LEGO movie style, a wide shot frames a vibrant Indian village built entirely from plastic LEGO bricks with visible studs, plastic micro-scratches, and brick-built trees. In the village square, minifigures dressed in printed plastic saris, dhotis, and turbans move across a ground of yellow and brown stud tiles. A brick-built cow with hinged legs grazes near a grand banyan tree constructed from green leaf pieces and brown cylindrical bricks. Warm morning sunlight casts sharp shadows across whitewashed brick houses with orange terracotta tile roofs. The camera pans right with small amplitude at slow speed toward a central tea stall. A cheerful male chaiwala minifigure with a black mustache and a red turban (S1) in a warm, lively voice says: <d>[Hindi] Garam chai, garam chai!</d> while tilting a plastic yellow teapot, releasing translucent orange 1x1 cylinder studs representing pouring tea into tiny red stud cups.

[Shot 2] At 00:05.000, the camera cuts to a medium tracking shot following two young minifigure children running along a narrow brick path, pushing a brick-built wheel hoop across the plastic ground. The camera tracks right alongside them with small amplitude at normal speed. A female villager minifigure in a bright blue printed sari (S2) standing outside her brick doorway waves her rigid plastic arm on its shoulder hinge. Beside her, an elder minifigure with a white beard (S3) sitting on a brick charpoy cot chuckles with stepping stop-motion head movements.

[Shot 3] At 00:10.000, the camera cuts to a cinematic medium shot near the village well, where female minifigures carry stacked plastic water pots topped with transparent blue round tiles. A brick-built peacock perched on an archway opens its fan tail made of blue, green, and golden LEGO slope tiles. The camera pushes in with small amplitude at slow speed toward a wooden signpost on a brick post reading "RAMPUR VILLAGE". Tiny tan 1x1 round plates puff around the wheels of a brick-built bullock cart moving past the frame as the video ends.

overall_soundscape: Distinct plastic clattering sounds echo softly as minifigure feet step on stud tiles, accompanied by the gentle clinking of plastic bricks. A distant rooster crow blends with ambient morning village chatter, bird chirps, and the wooden creak of a brick-built cart.

non_diegetic_music: Upbeat Indian folk percussion featuring lively dholak beats and vibrant bansuri flute melodies, layered with playful cinematic orchestral strings playing at a bright, medium tempo.

sharing my new workflow

MiniMax H3 I2V with Integrated Prompt Enhancer

This Image-to-Video workflow for MiniMax H3 uses a vision-language model to enhance your prompt before the video generation begins.

Simply load a reference image and write a basic description of what you want to happen. The enhancer analyzes both your image and instructions, then converts them into a detailed prompt structured specifically for MiniMax H3.

It can improve the description of:

• Characters and visual elements
• Actions and sequence of events
• Camera movement and framing
• Environment, lighting, and atmosphere
• Visual continuity and details that should be preserved
• Dialogue in the original language
• Ambient sounds, sound effects, and music

The enhanced prompt is automatically sent to MiniMax H3. It is also displayed inside the workflow, allowing you to check exactly what H3 will receive.

In my tests, the resulting videos followed the original instructions much more accurately, especially in scenes involving specific actions, character interactions, camera movements, and dialogue.

The workflow includes a switch to enable or disable the Prompt Enhancer. This allows you to use either the enhanced prompt or your original text without changing any connections.

How to use it

1. Load your reference image.
2. Write a simple description of what should happen.
3. Enable USAR PROMPT ENHANCER?
4. Run the workflow.
5. Check the final text in PROMPT FINAL ENVIADO AO H3.

The first run may take longer while the vision-language model is loaded. Generating the enhanced prompt also adds some processing time, but in my tests, the improvement in prompt accuracy and instruction following was absolutely worth it.

The original workflow was preserved, while the enhancer was added as an optional and fully integrated stage.

link to

with this, finally my ref model understand my ideas and make vídeos really fun!

leave comments after tests xD

Minimax H3 with turbo lora (default Comfyui template workflow)