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:
- 4050bce9c61eab3a7ee175478e74bbd3e6b530e0eec299519a158b2cfe5eeed8
- Size of remote file:
- 1.45 GB
- SHA256:
- 3b4464f1d656d526a65931015bb8be27ea760f26757e6808c4cb9f2520946797
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