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:
- 0c143fb1b58729da7260cd47facd4094b74bf89dfea0409aec990cc17ee6d055
- Size of remote file:
- 1.61 MB
- SHA256:
- 165bf8064a2b3e8a4f45e4a248a7180e1f8c0246fb706a86ca5a3ac8bbad3809
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