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:
- 4c7d41dcf7d0244fde9acff02b07218725c91daf5a245ad1db8e601a63a412df
- Size of remote file:
- 2.67 MB
- SHA256:
- 9b22e7752719cc5a0f872bd1bc8746972dbb35ed6931f4ec9e03eea838c2d0b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.