Instructions to use fal/Wan2.1-VACE-1.3B-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Wan2.1-VACE-1.3B-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/Wan2.1-VACE-1.3B-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:
- 50953f3b571abf6c49e7f64551d6dd7871027b3bbd162ed8599b2ec2bf2b1405
- Size of remote file:
- 4.31 GB
- SHA256:
- 19733db8a887a4699a29f15f68c8dde82bfa526a7f2a0f736743909f63b264f5
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