Instructions to use linoyts/Wan-VACE-14B-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linoyts/Wan-VACE-14B-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("linoyts/Wan-VACE-14B-diffusers", 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:
- f5a446155d4ed881f32fdc469e3ccd06ef3ebc4a54f46a4137a4297f58a6e367
- Size of remote file:
- 4.92 GB
- SHA256:
- 8d24b40a5ea6bb21cdc0115128241ffeb44184b2419f4b1585af1573ed5c7839
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