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
- Xet hash:
- e8f8f4fdb2317a589d912eb3119f36d8e1a55e7fdc3755110cd29a209a3fc3a8
- Size of remote file:
- 1.45 GB
- SHA256:
- e4455bcdc01e2901c6cb114eb478e1f609da54065c10d3f09665ae416b27cdf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.