Diffusers
Safetensors
MiniMax H3
video-generation
reference-to-video
text-to-audio-video
fastvideo
fasth3-omni
fp8
Instructions to use FastVideo/FastH3-Omni-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastH3-Omni-FP8 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-FP8", 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 adaln_table.pt from FastVideo/FastH3-Omni-FP8: direct link, hf CLI and curl.
- Browser
- Download file 523 MB
-
https://huggingface.co/FastVideo/FastH3-Omni-FP8/resolve/main/adaln_table.pt
- Command line
-
hf download hf://FastVideo/FastH3-Omni-FP8/adaln_table.pt
-
curl -L -o adaln_table.pt https://huggingface.co/FastVideo/FastH3-Omni-FP8/resolve/main/adaln_table.pt
523 MB
- Xet hash:
- d35055caf9807f7e72ddec04d97992e6ee784a69b393be80f932663f98a8bea9
- Size of remote file:
- 523 MB
- SHA256:
- 61bd6dabdac6567e4dece2d169e28bc39724da1da307a0cd967c8247980a1755
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