Instructions to use UEXdo/HeightAdaptor-weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UEXdo/HeightAdaptor-weight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UEXdo/HeightAdaptor-weight", 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:
- c9a25ddbd685812071f33eadf7dd559d52db867f4c17dd18bc0cfc3e612d954b
- Size of remote file:
- 13.4 MB
- SHA256:
- 4898786e8a00d4d1eb0aa981423b94e7a39bc8ea7cc62d3461b8e4e63741b9af
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