Instructions to use digitalbrain79/mistoline-coreml-6bits-compiled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digitalbrain79/mistoline-coreml-6bits-compiled with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("digitalbrain79/mistoline-coreml-6bits-compiled") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26e477fa6984999f5afd1588e02f6c7e8a692823763c08ff85b324cd1997345f
- Size of remote file:
- 939 MB
- SHA256:
- aaf8ae4cc2b9fc12b45cf4a34bbe3bc3aa05840031aa0e382c40fe1c3e034a72
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