Instructions to use w3ss/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 w3ss/sdxl-lightning-4step-controlnet-coreml-6bits-compiled with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("w3ss/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
| tags: | |
| - sdxl | |
| - controlnet | |
| - coreml | |
| - stablediffusion | |
| library_name: diffusers | |
| Converted [SDXL Lightning](https://huggingface.co/ByteDance/SDXL-Lightning) to CoreML for ControlNet. | |
| ## Usage | |
| [https://github.com/digitalbrain79/diffusers_coreml.git](https://github.com/digitalbrain79/diffusers_coreml.git) |