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:
- d359f8753764b0b9a056ff93054c420e58114d7efabd8330978be9e51c3209af
- Size of remote file:
- 508 MB
- SHA256:
- 052eb5a3a31dd8a315c8121f2ff15ac2f10e272827934d35433f1fc7afb72fd8
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