Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Qistinasofea/controlnet-floorplan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qistinasofea/controlnet-floorplan with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Qistinasofea/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-10000/optimizer.bin from Qistinasofea/controlnet-floorplan: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/Qistinasofea/controlnet-floorplan/resolve/main/checkpoint-10000/optimizer.bin
- Command line
-
hf download hf://Qistinasofea/controlnet-floorplan/checkpoint-10000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Qistinasofea/controlnet-floorplan/resolve/main/checkpoint-10000/optimizer.bin
2.89 GB
- Xet hash:
- 3e962744d708d63485a387a0724032e5a0ca0a6e47f74665d7b5871bc2b48894
- Size of remote file:
- 2.89 GB
- SHA256:
- 541714892047656d703fea697016f3a438c1b3875a85dd3573d3cdb4b4151979
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