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
- Xet hash:
- 58e41ba7c7b19670cd06fabe34eaac4ad7d6522fdcc5b228e821f48cba669d23
- Size of remote file:
- 2.51 GB
- SHA256:
- 9fae2e50cb431bfcbe05822b59ec2228df545ef27f711dea8949e9f4ed9f7cdc
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