Instructions to use Runware/Wan2.1-VACE-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/Wan2.1-VACE-14B 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-14B", 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:
- 28a3239f3517824a7235fbfd1adc300997093da3f120d5f32b4fa30490e09ce9
- Size of remote file:
- 4.94 GB
- SHA256:
- a8e861969c7433e707cc5a74065d795d36cca07ec96eb6763eb4083df7248f58
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