Instructions to use yang1232009/ControlNetPlus-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yang1232009/ControlNetPlus-SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yang1232009/ControlNetPlus-SDXL", 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:
- 2acff9bd4389909b0120bf0444b53e98f9c276415cf50664f7a19fc786f116ed
- Size of remote file:
- 2.51 GB
- SHA256:
- cd509afabb71760f4dbbbd53dba10c20107291de74f449856854940e891b86e6
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