Instructions to use Intel/Wan2.2-TI2V-5B-Diffusers-int4-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/Wan2.2-TI2V-5B-Diffusers-int4-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/Wan2.2-TI2V-5B-Diffusers-int4-AutoRound", 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:
- e93e58ffae259ad00bdf467b4d89cc7506133978a98bdb74edc1d71f9668b929
- Size of remote file:
- 16.8 MB
- SHA256:
- 1c55256ddc61e65d42614511254cee7ed55a1783846ddbb0967da2ac20bf6970
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