Diffusers
Safetensors
MiniMax H3
video-generation
reference-to-video
text-to-audio-video
fastvideo
fasth3-omni
nvfp4
qad
Instructions to use FastVideo/FastH3-Omni-NVFP4-QAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastH3-Omni-NVFP4-QAD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/FastH3-Omni-NVFP4-QAD", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download vae_decoder_nvfp4/decoder-nvfp4.safetensors from FastVideo/FastH3-Omni-NVFP4-QAD: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/FastVideo/FastH3-Omni-NVFP4-QAD/resolve/main/vae_decoder_nvfp4/decoder-nvfp4.safetensors
- Command line
-
hf download hf://FastVideo/FastH3-Omni-NVFP4-QAD/vae_decoder_nvfp4/decoder-nvfp4.safetensors
-
curl -L -o decoder-nvfp4.safetensors https://huggingface.co/FastVideo/FastH3-Omni-NVFP4-QAD/resolve/main/vae_decoder_nvfp4/decoder-nvfp4.safetensors
1.39 GB
- Xet hash:
- a56f2dd9795307de72a864136640dfd7b17e41ce5af6a6c14f32fa0b7b507dc8
- Size of remote file:
- 1.39 GB
- SHA256:
- 84a92170f1cf6737f0509f8350cf642832afe3c0c0b1766bf4a0e6e820b62729
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