Instructions to use keshan/controlnet_amateur_drawings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keshan/controlnet_amateur_drawings with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("keshan/controlnet_amateur_drawings") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 03870f85cf33de8b1331a2774b9b25346ee23385e1b995f163992e1a248afc1f
- Size of remote file:
- 1.45 GB
- SHA256:
- 96c54af46000d1902c8588c6c7795b10624989dc0cdc0547741c997d29a849f9
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