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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://aqhareus/controlnet-floorplan-topdown/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aqhareus/controlnet-floorplan-topdown/resolve/main/checkpoint-3000/optimizer.bin
2.89 GB
- Xet hash:
- ad58e81d9b2fbdc7a77ba06061b1d129397ce5d8d5512c847e543a3e195d1ed8
- Size of remote file:
- 2.89 GB
- SHA256:
- 210264268186fd3a3ef1e997ce5fc15edddf73682c877fb378e1ab64aaf47a23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.