Instructions to use FastVideo/FastWan2.2-TI2V-5B-FullAttn-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/FastWan2.2-TI2V-5B-FullAttn-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/FastWan2.2-TI2V-5B-FullAttn-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:
- 032ce9f480c5dcea1ac1a2c39b0de3729b63e97f6c980ac8446a8106b3a2e8c6
- Size of remote file:
- 165 kB
- SHA256:
- 4aaea5e187f1c5908e15ade5bef24c9fb59882986bc3d2ad75f7fe820f3d772f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.