Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use endyai/RoomNet-supermlsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use endyai/RoomNet-supermlsd with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("endyai/RoomNet-supermlsd") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- c73f67a9646330df961b80164f5037e5ebea8ee476dd6421e01099e2cf740a95
- Size of remote file:
- 1.77 MB
- SHA256:
- 56ba4030512e0edd137eb0883c4fb8292039854984623aa66880d2b87d49f36b
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