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:
- 840ef3f13dbc40e51c180ff8a031a15d7adf74e649314c1f1ed45035ab46f7b5
- Size of remote file:
- 681 MB
- SHA256:
- bfc767ee894a2d26166aa7c22b7b297a1ff8e246493734490dd048087d4c9c07
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