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 vae_encoder/coreml_model.mlmodelc/weights/weight.bin from digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled: direct link, hf CLI and curl.
- Browser
- Download file 137 MB
-
https://huggingface.co/digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/resolve/main/vae_encoder/coreml_model.mlmodelc/weights/weight.bin
- Command line
-
hf download hf://digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/vae_encoder/coreml_model.mlmodelc/weights/weight.bin
-
curl -L -o weight.bin https://huggingface.co/digitalbrain79/sdxl-lightning-4step-controlnet-coreml-6bits-compiled/resolve/main/vae_encoder/coreml_model.mlmodelc/weights/weight.bin
137 MB
- Xet hash:
- dece916b9818ca91f2d5c3dc692ecf3015a76eaabc2a126a2c365fa99e9a240b
- Size of remote file:
- 137 MB
- SHA256:
- 7a5eade1f3e6997e664a65e26ac86ba2a3205674910e151f98a9d91f13cd272b
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