Instructions to use FastVideo/FastHunyuan-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastHunyuan-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/FastHunyuan-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:
- 1bc9903d9e885e6d27b3c0779fb87c00db43e685152ab8a179d82950a25d3bbb
- Size of remote file:
- 17.2 MB
- SHA256:
- d2c593db4aa75b17a42c1f74d7cc38e257eaeed222e6a52674c65544165dcbaa
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