Instructions to use DEVAIEXP/DiffusersWebUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DEVAIEXP/DiffusersWebUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DEVAIEXP/DiffusersWebUI", torch_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:
- f6075e7a4a418d35c9bd58bb52b4e695ea2baf930a1cc1e4d799d5f225d9196b
- Size of remote file:
- 703 MB
- SHA256:
- 7525f2731e9e86d1368e0b68467615d55dda459691965bdd7d37fa3d7fd84c12
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