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-5000/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-5000/optimizer.bin
- Command line
-
hf download hf://endyai/RoomNet-supermlsd/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/endyai/RoomNet-supermlsd/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- a995223fa7c905204499f660aa131fe0637ca16a7826ae1d718dfe3b2b5b0b5a
- Size of remote file:
- 2.91 GB
- SHA256:
- e95d2aac75c2bf82b5391938f4d01b3548b061587db8f2f744a5755afcfbd909
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