Instructions to use Runware/Wan2.1-VACE-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/Wan2.1-VACE-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/Wan2.1-VACE-1.3B", 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:
- 819a276be1e85fee029a80e70887333d46c91e733f6af1750ba1e061d14fdd33
- Size of remote file:
- 4.98 GB
- SHA256:
- d57d948ece4837d850b7a859a4415121d57cacf8b9ee1d4db200c67f592902d7
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