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:
- bf5eca4c7035958e8fec0ecc5c957b3b1a8810d664dbd075530b7edcb5258415
- Size of remote file:
- 4.92 GB
- SHA256:
- efee3abc1f7955e47d097ec166a0cda07f9715159dfa860192d4b61fd22b71ec
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