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", 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:
- 2988969625ff499024566dbb5ccf04dcf0b781c738b39a4c78f018e1d5b5301f
- Size of remote file:
- 268 MB
- SHA256:
- 122ebd44709c0c8a105c79f9f3a8b95010e8f270fa9d59f38f10f97af78d5e0f
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