Instructions to use dominic1021/isabellaohwx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dominic1021/isabellaohwx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dominic1021/isabellaohwx", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e3b45788f81adccc35df257d40d526845ac6376c6b7cdfbf41747bea33f523e1
- Size of remote file:
- 335 MB
- SHA256:
- e18def446490badd8f381763478719d1133991105a0081116f37e7357ee58120
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