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-200/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-200/optimizer.bin
- Command line
-
hf download hf://aqhareus/controlnet-floorplan-topdown/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aqhareus/controlnet-floorplan-topdown/resolve/main/checkpoint-200/optimizer.bin
2.89 GB
- Xet hash:
- 86dc68c1bd688d94e0e67e03e5fac45f9c72d436d8af3198ed8130d098122bf0
- Size of remote file:
- 2.89 GB
- SHA256:
- 25f2dc140ed0ca41084de8202d82da1310aaf7f2a2d8aad7939200ae680d253e
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