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:
- 394be7525482f24a890b81eef45bcfe98a63c6d00f09797e48da55d82d1afa90
- Size of remote file:
- 4.98 GB
- SHA256:
- d57d948ece4837d850b7a859a4415121d57cacf8b9ee1d4db200c67f592902d7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.