Instructions to use FastVideo/FastMochi-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastMochi-diffusers 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/FastMochi-diffusers", 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 assets/distilled/4.gif from FastVideo/FastMochi-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/distilled/4.gif
- Command line
-
hf download hf://FastVideo/FastMochi-diffusers/assets/distilled/4.gif
-
curl -L -o 4.gif https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/distilled/4.gif
12.8 MB
- Xet hash:
- dea825b511c74be336550c07fc0b74e6bfdb68d24976ade11a9d627dcbc81d0f
- Size of remote file:
- 12.8 MB
- SHA256:
- 9add0cf6afd13c301166e7385ac79f2e864c1c019fc5b7262efa3943da07ae4b
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