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/A superintelligent humanoid robot waking up.gif from FastVideo/FastMochi-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 7.12 MB
-
https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/distilled/A%20superintelligent%20humanoid%20robot%20waking%20up.gif
- Command line
-
hf download 'hf://FastVideo/FastMochi-diffusers/assets/distilled/A superintelligent humanoid robot waking up.gif'
-
curl -L -o 'A superintelligent humanoid robot waking up.gif' https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/distilled/A%20superintelligent%20humanoid%20robot%20waking%20up.gif
7.12 MB

- Xet hash:
- d3f3665e6ed47649ae0849027d7aae150d1a6871f35abcca7c17d8b701bdef22
- Size of remote file:
- 7.12 MB
- SHA256:
- 7bfa269d38bf20d32721749dcc540390ff365a557a6fdaf72d9fd8920596c182
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