Instructions to use Nahrawy/controlnet-shadow-output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nahrawy/controlnet-shadow-output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nahrawy/controlnet-shadow-output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f2e78f9c89b4c392f275cca2ae95383d3f31713f5c68803a8ddb028aaad0629d
- Size of remote file:
- 1.45 GB
- SHA256:
- cdf1b82d73364119f323b890fcf78ee19e2e0ef6aaa9d2b37637fc65ea4d4db0
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