Instructions to use ksmcg/controlnet-room-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ksmcg/controlnet-room-seg with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ksmcg/controlnet-room-seg") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 5aaff952022ec9f3c79cf28e308a269bd10dc4db7532900708672aacfdc2927c
- Size of remote file:
- 1.45 GB
- SHA256:
- 8c662885bd7873dc9f686fef897d0727da9995649b673e24be9736c547a17053
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