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:
- cdc2fe0121dec6c89ef5af472a91e73976c20e7791bda095c80f0d5aed30548c
- Size of remote file:
- 2.92 kB
- SHA256:
- ebbf714378063c9665ff365cfffcc7eb5abf281443d1d49e8fb07ce271392a2e
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