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
Download checkpoint-200000/optimizer.bin from endyai/RoomNet-supermlsd: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/endyai/RoomNet-supermlsd/resolve/main/checkpoint-200000/optimizer.bin
- Command line
-
hf download hf://endyai/RoomNet-supermlsd/checkpoint-200000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/endyai/RoomNet-supermlsd/resolve/main/checkpoint-200000/optimizer.bin
2.91 GB
- Xet hash:
- 83ac6de28d7e11a5276563733a8981bbc3902936b9aa1b32f70b1dbbf7ec1815
- Size of remote file:
- 2.91 GB
- SHA256:
- fd0e29fc555f4ddf72caaf5bda4dddfa3eb0b508e9280e78be612995b0cb55cd
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