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:
- 4332324860a9efb84010d4fbaaf5d309169396f51ff575dbfe67778f7c135708
- Size of remote file:
- 4.97 GB
- SHA256:
- 10f295c9c954c1409550a8fe5c2475de0aa847ccd31fe0e74996ad8430034f7c
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