Instructions to use digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 095d9c4e86e1cf690ce5a34274728f77a660175c71ff087e05b3287722369f45
- Size of remote file:
- 870 Bytes
- SHA256:
- 416ed5dcb73ffc557f85b0f448bd8775b76b15094f7df58a2d4b96bc4134454b
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