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/mochi-demo.gif from FastVideo/FastMochi-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 23.1 MB
-
https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/mochi-demo.gif
- Command line
-
hf download hf://FastVideo/FastMochi-diffusers/assets/mochi-demo.gif
-
curl -L -o mochi-demo.gif https://huggingface.co/FastVideo/FastMochi-diffusers/resolve/main/assets/mochi-demo.gif
23.1 MB
- Xet hash:
- 91fa83300bd9fe24b2ed41aac9c4fda1aeb971c3d6659d41f7ced31365bc606c
- Size of remote file:
- 23.1 MB
- SHA256:
- 68f4ef5f947394c568313cab72f5665425861a602801f2194536a6674027be0f
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