Instructions to use FastVideo/FastWan2.1-T2V-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastWan2.1-T2V-14B-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/FastWan2.1-T2V-14B-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:
- 4c1e09756e427ccda810e8c6cbbbdf55bc660fa672d943538a8fa7b25ddb72f5
- Size of remote file:
- 1.79 MB
- SHA256:
- b0e225caffb4b31295ad150f95ee852e4c3dde4a00ac8f79a2ff500f2ce26b8d
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