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
- Xet hash:
- 44804c84237e8d421ce8f45bd62d939acdc7fa59a12e6d63f3c64e4924ec8b8e
- Size of remote file:
- 1.45 GB
- SHA256:
- 4ba51589b71cc2f31abe71037daa728a738ec3c5bcb5e0325af727f3a4413a53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.