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-10000/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-10000/optimizer.bin
- Command line
-
hf download hf://JaspervanLeuven/controlnet_rect/checkpoint-10000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/JaspervanLeuven/controlnet_rect/resolve/main/checkpoint-10000/optimizer.bin
2.89 GB
- Xet hash:
- 927f70a5bbb70a65c5950539d51469209144ea3a829d45a3d455bcbe731aa9b1
- Size of remote file:
- 2.89 GB
- SHA256:
- 0c3675fcb49d9d73aa6cbcdba08defdce8bb0ed115329c2dac6a761fff78e9ce
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