Instructions to use Sporer/Wan2.2-TI2V-5B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sporer/Wan2.2-TI2V-5B-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("Sporer/Wan2.2-TI2V-5B-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:
- ff7a9d173c93b4cee0e286a05c95033152a3a7319ce8f8a08c1ac2287f99deab
- Size of remote file:
- 251 kB
- SHA256:
- 077e3d965090c9028c69c00931675f42e1acc815c6eb450ab291b3b72d211a8e
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