Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use aqhareus/controlnet-floorplan-topdown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aqhareus/controlnet-floorplan-topdown with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("aqhareus/controlnet-floorplan-topdown") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from aqhareus/controlnet-floorplan-topdown: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/aqhareus/controlnet-floorplan-topdown/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://aqhareus/controlnet-floorplan-topdown/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aqhareus/controlnet-floorplan-topdown/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 730b64bc92b11fea6f081ca49f69ffef171c9f5df2425e9b30b1c4277323978a
- Size of remote file:
- 2.89 GB
- SHA256:
- c2b2ec0faaddb211914e59d728cdfeba42c651e76111c9c7c4e2d8f0bbaef4cf
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