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

- Xet hash:
- 9a1803da5a0ba67730c4d8be4cf320a72326f0c438c76c7a9f71fd45fc014b6c
- Size of remote file:
- 6.4 MB
- SHA256:
- c365616613e294f960a6f37fde22b8e32f7a01adc3854227c9a463fe042b0071
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