Instructions to use stablediffusionapi/bx-shibux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/bx-shibux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/bx-shibux", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3d3e904a3169bfe9d42adf2e8fd6536f2b6b71303332ceac06dfdf84f35ec9c5
- Size of remote file:
- 246 MB
- SHA256:
- 07a1775045ca05d171e39c8691108d07a3f8316ddb9b82445d8bddec24e22cbe
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