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:
- b96fe04d15adba1448ddfab18b5a066741f8db5eda92e87652ccea8b262b4e46
- Size of remote file:
- 4.92 GB
- SHA256:
- e8b631e38f0ad21a63c631069658d4be4b55e0cb15e8f5848567482b5862ba63
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