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:
- 679e5bdb8d673229908c761584a9ce01fdbffc7bec098a8b6f6d07fe4529377f
- Size of remote file:
- 3.46 GB
- SHA256:
- 62426563c602d5a650c2059223e95c01e27a9c124746d66b7a6ca8d602470379
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