Instructions to use yetter-ai/Wan2.2-I2V-A14B-Lightning-FP8-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yetter-ai/Wan2.2-I2V-A14B-Lightning-FP8-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("yetter-ai/Wan2.2-I2V-A14B-Lightning-FP8-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:
- 2e0babd7ea015c29af2bfc0ea62ad27a88c3dc2e976034268c597fc40aff73d4
- Size of remote file:
- 254 MB
- SHA256:
- c6a8a21a432ccaac04464c4efd3900c15dbf1e30459cf377cad88d8eb2723491
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.