Image-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
jax-diffusers-event
Instructions to use SAMControlNet/sd-controlnet-sam-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SAMControlNet/sd-controlnet-sam-seg with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("SAMControlNet/sd-controlnet-sam-seg") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from SAMControlNet/sd-controlnet-sam-seg: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/SAMControlNet/sd-controlnet-sam-seg/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SAMControlNet/sd-controlnet-sam-seg/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SAMControlNet/sd-controlnet-sam-seg/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 745f1d988c088217819580eb2a1db018226709c4b7954ae074de34343bfc879a
- Size of remote file:
- 1.45 GB
- SHA256:
- c6dea351cc8123e287776622a069b63de898c85ea125d3bcf6bc933ecc3770f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.