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:
- a43e6e91b9cb944856db0f2f4ac39b8970dd91e50506043a620578668d89f03f
- Size of remote file:
- 1.44 GB
- SHA256:
- 0da9ee284e21d1406df708788db1d502d95d75f69faa25cd26151bf8829b7c5f
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