Instructions to use fal/Wan2.2-VACE-Fun-A14B-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Wan2.2-VACE-Fun-A14B-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Wan2.2-VACE-Fun-A14B-FlashPack", 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:
- ccf93f514bc3fe857d090e0e9bd6721f574583c7ac91ead728838c6a1bc019b7
- Size of remote file:
- 34.7 GB
- SHA256:
- 0bdd2d3d3aea5673cbe926b76c723ac6fbbe397d627395a52d2c96d44c9b18ac
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