Text-to-Video
Diffusers
Safetensors
MiniMaxH3ModularPipeline
video-generation
audio
fastvideo
bf16
pruned
Instructions to use FastVideo/FastVideo-FastH3-Trim-8-Step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastVideo-FastH3-Trim-8-Step 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/FastVideo-FastH3-Trim-8-Step", 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 audio_vae/diffusion_pytorch_model.safetensors from FastVideo/FastVideo-FastH3-Trim-8-Step: direct link, hf CLI and curl.
- Browser
- Download file 605 MB
-
https://huggingface.co/FastVideo/FastVideo-FastH3-Trim-8-Step/resolve/main/audio_vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://FastVideo/FastVideo-FastH3-Trim-8-Step/audio_vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/FastVideo/FastVideo-FastH3-Trim-8-Step/resolve/main/audio_vae/diffusion_pytorch_model.safetensors
605 MB
- Xet hash:
- f70edfc8ed89e3ed98a4829dfda9d88d101cfbcac3e99dbc09b0e401bcdcf8e4
- Size of remote file:
- 605 MB
- SHA256:
- 52c59e67ba8de5477c81bfbced0327aabf500f1bfdeefd5ee754529241cb26cb
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