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:
- cd562e33f2ee925af8fa0743fd063f61d71891eea42ac5e55bfbc07b785c4762
- Size of remote file:
- 11.4 GB
- SHA256:
- 96f964185695bb5b1df68142336336abd93097c3398ff11b5346ca2c312ea36e
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