Instructions to use Esdolo/FreeVS_WOD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Esdolo/FreeVS_WOD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Esdolo/FreeVS_WOD", 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:
- c7615bcd7d0d933d19094808e797f585aed869c3b35d488a40e519ed2a210f10
- Size of remote file:
- 12.8 MB
- SHA256:
- dc6aa8c44d12c26732e3a48796264db74ff365e2e82e3420d6dad02bee6fa274
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