Image-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
controllora
Instructions to use shiviguptta/controllora_coco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shiviguptta/controllora_coco with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("shiviguptta/controllora_coco") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 7f9ccb9f185f74e73a6b9312369e9b4346becdd7e8cd74c75bab0eb6007d6176
- Size of remote file:
- 1.91 MB
- SHA256:
- b10766ecccca01ac0d32e855e00227c6d40d2dd57ea04c2f496d7f7c622e9706
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.