Instructions to use linoyts/Wan2.2-VACE-Fun-14B-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linoyts/Wan2.2-VACE-Fun-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/Wan2.2-VACE-Fun-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:
- ffb3b403cbeee4d0ed79ff1d304c6095657d5f273e9c29b19899f57f4d7deb53
- Size of remote file:
- 4.92 GB
- SHA256:
- 8983971bc675362ef8d0cba87aad0d8b9231f84b95a80b05d7f22a976e0729ba
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