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
Wan2.2-TI2V-5B-Diffusers-int4-AutoRound / transformer /diffusion_pytorch_model-00002-of-00003.safetensors
- Xet hash:
- 4974e8d2d953e435147ff4fdd919b9034876653bc61c136288de811e0000bc45
- Size of remote file:
- 1.07 GB
- SHA256:
- 937ba4d6b9bba8186c51cd82d83bc2b0af23713ab52b3c9593727e2e5fff90ca
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