Instructions to use destitech/controlnet-inpaint-dreamer-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use destitech/controlnet-inpaint-dreamer-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("destitech/controlnet-inpaint-dreamer-sdxl") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfd08351f97d9faf67d1b59c684c3fbc36e121262a2f6c5e7d37207883a0bc15
- Size of remote file:
- 2.5 GB
- SHA256:
- 5eeffc07f59c084811f239caf9d2c3d11d0b1ad8270c1fe1daf150a074d064ce
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