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 Settings
- Draw Things
- DiffusionBee
Download text_encoder_2/coreml_model.mlmodelc/model.mil from digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled: direct link, hf CLI and curl.
- Browser
- Download file 546 kB
-
https://huggingface.co/digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/resolve/main/text_encoder_2/coreml_model.mlmodelc/model.mil
- Command line
-
hf download hf://digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/text_encoder_2/coreml_model.mlmodelc/model.mil
-
curl -L -o model.mil https://huggingface.co/digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/resolve/main/text_encoder_2/coreml_model.mlmodelc/model.mil
546 kB
File too large to display, you can check the raw version instead.