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:
- e73d89e8e1311c9f8129393711db22389fe60d8b7df88dca0e544104d4691872
- Size of remote file:
- 34.7 GB
- SHA256:
- 4231c94f91f044ea222d9d110db805ec3ad1e0afe8fa450271ee47d0a88854c2
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