Instructions to use barelymining/ComfyUI-MiniMax-H3-FastVideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use barelymining/ComfyUI-MiniMax-H3-FastVideo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3,FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("barelymining/ComfyUI-MiniMax-H3-FastVideo") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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# FastH3 VSA-DataFree LoRA + Gate for ComfyUI (experimental)
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Two files that let ComfyUI run **MiniMax H3 video generation in 4 steps** using FastVideo's Video Sparse Attention. On a 24 GB RTX 3090 Ti, this drops a 5-second, 0.8 MP clip from ~8 minutes (base, 20 steps) to under 1 minute (draft) or ~2.5 minutes (best quality). Requires the [companion custom node](https://github.com/barelymining/ComfyUI-MiniMax-H3-FastVideo) — you can't load these with a normal LoRA loader alone.
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> ⚠️ **Experimental.** Tested on one machine (RTX 3090 Ti). Requires the companion custom node — this is not a drop-in for standard LoRA loading. See the node repo before downloading.
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## Files
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# FastH3 VSA-DataFree LoRA + Gate for ComfyUI (experimental)
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Two files that let ComfyUI run **MiniMax H3 video generation in 4 steps** using FastVideo's Video Sparse Attention. On a 24 GB RTX 3090 Ti, this drops a 5-second, 0.8 MP clip from ~8 minutes (base, 20 steps) to under 1 minute (draft) or ~2.5 minutes (best quality). Requires the [companion custom node](https://github.com/barelymining/ComfyUI-MiniMax-H3-FastVideo) — you can't load these with a normal LoRA loader alone.
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> **Most people should probably use one of the established H3 turbo LoRAs** (e.g. [Comfy-Org's official 4-step turbo](https://huggingface.co/Comfy-Org/MiniMax-H3), [lightx2v's 8-step turbo](https://huggingface.co/lightx2v/Minimax-h3-Turbo)) — they're simpler to set up and don't need a custom node. This project exists for people who want to experiment with FastVideo's sparse-attention approach and see if the speed/quality tradeoff works better for their use case, or for people on older cards (RTX 3090 / 4090) who can't run FastVideo's latest official releases that target Hopper/Blackwell GPUs. Compare and pick what you like.
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> ⚠️ **Experimental.** Tested on one machine (RTX 3090 Ti). Requires the companion custom node — this is not a drop-in for standard LoRA loading. See the node repo before downloading.
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## Files
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