Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use JaspervanLeuven/controlnet_rect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JaspervanLeuven/controlnet_rect with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("JaspervanLeuven/controlnet_rect") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-8000/optimizer.bin from JaspervanLeuven/controlnet_rect: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/JaspervanLeuven/controlnet_rect/resolve/main/checkpoint-8000/optimizer.bin
- Command line
-
hf download hf://JaspervanLeuven/controlnet_rect/checkpoint-8000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/JaspervanLeuven/controlnet_rect/resolve/main/checkpoint-8000/optimizer.bin
2.89 GB
- Xet hash:
- 3b9bc00c5d5bee548f3e5ca1295b7799b8130ab4f0e283fa20e79da6543cea9f
- Size of remote file:
- 2.89 GB
- SHA256:
- c5a9b22abdae12c011a4ccd5cab9b6ac7bdc431ef77a3eaa6cf6b6537ccdc2ea
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