Instructions to use MaystroAI/Xinsir-SDXL_Controlnet_Union with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaystroAI/Xinsir-SDXL_Controlnet_Union with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MaystroAI/Xinsir-SDXL_Controlnet_Union", 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
| license: apache-2.0 | |
| This model is a repackaged version of Xinsir's SDXL Controlnet Union ProMax version, which allows for it to be imported easily in tools like Invoke. | |
| For the original repo, please visit - https://huggingface.co/xinsir/controlnet-union-sdxl-1.0 |