Instructions to use Pyros13/Wan2.2-VACE-Fun-A14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pyros13/Wan2.2-VACE-Fun-A14B-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("Pyros13/Wan2.2-VACE-Fun-A14B-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:
- 17ef97d7653985f720a6290cef382ed878a01d587be65f991b0f1d17dd9b5686
- Size of remote file:
- 4.94 GB
- SHA256:
- a8e861969c7433e707cc5a74065d795d36cca07ec96eb6763eb4083df7248f58
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