Instructions to use FastVideo/FastVideo-FastH3-8-Step-V2-NVFP4-Comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use FastVideo/FastVideo-FastH3-8-Step-V2-NVFP4-Comfy with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
# No code snippets available yet for this library.
# To use this model, check the repository files and the library's documentation.
# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.jsFastVideo FastH3 V2 NVFP4
Repackaged model files for ComfyUI.
Original model repository: https://huggingface.co/FastVideo/FastVideo-FastH3-8-Step-V2
FastH3 V2 with its transformer quantized to NVFP4, for NVIDIA Blackwell GPUs: RTX 50 series, RTX PRO 6000 and
DGX Spark. It is built from fastvideo_fasth3_8step_v2_pruned_bf16.safetensors in
FastVideo/FastVideo-FastH3-Comfy, which also has the
BF16 and INT8 builds for other GPUs.
Use the FastVideo FastH3: Text to Video template (ComfyUI 0.36.0 or later) and select
fastvideo_fasth3_8step_v2_pruned_nvfp4.safetensors (13.6 GB) in its UNETLoader. Keep the template's sampler
settings: 8 steps, res_multistep, simple, and the MiniMaxH3SigmaShift node at 10 (video) and 3 (audio).
Place the files in the following folders:
π ComfyUI/
βββ π models/
βββ π diffusion_models/
β βββ fastvideo_fasth3_8step_v2_pruned_nvfp4.safetensors
βββ π text_encoders/
β βββ qwen3vl_32b_minimax_h3_bf16.safetensors
β βββ qwen3vl_32b_minimax_h3_int8_convrot.safetensors
β βββ qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors
βββ π vae/
β βββ minimax_h3_audio_vae_fp32.safetensors
β βββ minimax_h3_video_vae_fp16.safetensors
β βββ minimax_h3_video_vae_int8_convrot.safetensors
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