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.fp16.bin from SAMControlNet/sd-controlnet-sam-seg: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/SAMControlNet/sd-controlnet-sam-seg/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://SAMControlNet/sd-controlnet-sam-seg/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/SAMControlNet/sd-controlnet-sam-seg/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- 5ce99c5e459511454c18ad5a4e9252223418fe15d4bd6e112a3919c4327eddb2
- Size of remote file:
- 723 MB
- SHA256:
- f8dacbde984e32e71a293f70e445e5848fc8b1280e2ede7fcc785d968d615303
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