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-00003-of-00003.safetensors
- Xet hash:
- 56a3b347a6f92447f41b13417be4ca69753d2f9eb5fa9ef9ebefece2e0cf0d8f
- Size of remote file:
- 601 MB
- SHA256:
- 5cd56d5a7990109c337812a66f5939fe3856d2d9bb2d16f26a2a77f330823c61
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