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:
- 1bfd57cc284506c4332fcb63eeafdf02effe7605fa15550c2ff17551c13a5495
- Size of remote file:
- 538 kB
- SHA256:
- a542c92072cb25adab1f9cc5209d4f4f4ca8549db084e6703d2e032357cd50a7
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