Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use aqhareus/controlnet-floorplan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aqhareus/controlnet-floorplan with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("aqhareus/controlnet-floorplan") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from aqhareus/controlnet-floorplan: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/aqhareus/controlnet-floorplan/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://aqhareus/controlnet-floorplan/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aqhareus/controlnet-floorplan/resolve/main/checkpoint-200/optimizer.bin
2.89 GB
- Xet hash:
- 99993c50dd9759fb542888ae4859aba465bf8e3d0bdf72bfd954596635e4d208
- Size of remote file:
- 2.89 GB
- SHA256:
- e64120d4901e9103b7f4c2c8f75aeb08492d34e4216c8de053349c96e4a1fd35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.