Instructions to use Abrumu/controlnet_with_captions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abrumu/controlnet_with_captions with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Abrumu/controlnet_with_captions") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c7f687791530609922378727e046905544140d8aa90aa79daa27e212c81d6917
- Size of remote file:
- 1.45 GB
- SHA256:
- ff616e61593eb033809617b3bb09484a85b1acf7774c31d50356f27a0be2e94f
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