Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use aqhareus/controlnet-floorplan-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aqhareus/controlnet-floorplan-final with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("aqhareus/controlnet-floorplan-final") 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-1000/optimizer.bin from aqhareus/controlnet-floorplan-final: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/aqhareus/controlnet-floorplan-final/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://aqhareus/controlnet-floorplan-final/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aqhareus/controlnet-floorplan-final/resolve/main/checkpoint-1000/optimizer.bin
2.89 GB
- Xet hash:
- e0c4034474ff215e7f40806942781764066130b0eefdbd21be4d75aa2933445d
- Size of remote file:
- 2.89 GB
- SHA256:
- 308d3c5d69ac43713425ba96faf3636cb660d6d55a73f1cc4b118b635681cbc9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.