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:
- b8af8ee67f131ea0ceb90a60bf4826264561a91a8cf1951f9ed3530e32d0e1d9
- Size of remote file:
- 1.44 GB
- SHA256:
- 7c58a302230e73304ef044705d4554a9f4d03f9b6a206c01af36dd20f995166d
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