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:
- 17e44511f01237e371a0dd121e188726dac5bef7af1a89080fa1e5ec266a080b
- Size of remote file:
- 1.95 MB
- SHA256:
- d3f14cc5f867fe347b8612de7be01468900fd1ea6645950ba7f8e3ad72c38915
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