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/1.gif from FastVideo/FastMochi-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 5.8 MB
-
https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/distilled/1.gif
- Command line
-
hf download hf://FastVideo/FastMochi-diffusers/assets/distilled/1.gif
-
curl -L -o 1.gif https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/distilled/1.gif
5.8 MB

- Xet hash:
- 46553b38dab67687166aee84f8729a65bb87b2d90b33caf30075c32bf241b849
- Size of remote file:
- 5.8 MB
- SHA256:
- b8b1452cb07f82ffc707fbe5980991685e8e29b0c7c839bbff90920230dcc742
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