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/coreml_model.mlmodelc/coremldata.bin from digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled: direct link, hf CLI and curl.
- Browser
- Download file 919 Bytes
-
https://huggingface.co/digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/resolve/main/text_encoder/coreml_model.mlmodelc/coremldata.bin
- Command line
-
hf download hf://digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/text_encoder/coreml_model.mlmodelc/coremldata.bin
-
curl -L -o coremldata.bin https://huggingface.co/digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/resolve/main/text_encoder/coreml_model.mlmodelc/coremldata.bin
919 Bytes
- Xet hash:
- 2b6879901ad606e8abbc1af7583a50f3dd9ecf055094b18eddb17fb20f5db52b
- Size of remote file:
- 919 Bytes
- SHA256:
- 1ba0eed8c77eb51159a81ed74c77aa641e6a00186be2a905ab53d32d1d02f250
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.