Instructions to use paboani/controlnet-union-sdxl-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paboani/controlnet-union-sdxl-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("paboani/controlnet-union-sdxl-1.0", 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
Download images/masonry.webp from paboani/controlnet-union-sdxl-1.0: direct link, hf CLI and curl.
- Browser
- Download file 4.08 MB
-
https://huggingface.co/paboani/controlnet-union-sdxl-1.0/resolve/main/images/masonry.webp
- Command line
-
hf download hf://paboani/controlnet-union-sdxl-1.0/images/masonry.webp
-
curl -L -o masonry.webp https://huggingface.co/paboani/controlnet-union-sdxl-1.0/resolve/main/images/masonry.webp
4.08 MB

- Xet hash:
- 1373b4c80f0b7177749de301209c48a95c056963a02c4cbcc09c110fa33be734
- Size of remote file:
- 4.08 MB
- SHA256:
- a2da28443ec29f21d5c7d91c867811929e93d17d5656c875072fe075330f0bc4
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