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:
- ab0c2e01138f5b729df4c1a99c9d372890f9a1999696a4cc59b227eb5f510293
- Size of remote file:
- 1.45 GB
- SHA256:
- f4e296d8e72b5e400447a80ffd4624c49558b48232f9b479a72fbefbbf74c290
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.