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
- Xet hash:
- 4c365451cf431e3a9693b89e5aaa3a9cafd4b587f4ead6a7cad1948a39ed7e92
- Size of remote file:
- 1.45 GB
- SHA256:
- 90bf6ce874533d0e7d049ecbb2bb909fe56ede03288deeb85b5e6deea1ab164f
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