Image-to-Image
Diffusers
English
stable-diffusion
stable-diffusion-diffusers
controlnet
jax-diffusers-event
Instructions to use mfidabel/controlnet-segment-anything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mfidabel/controlnet-segment-anything with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("mfidabel/controlnet-segment-anything") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88bb333d6266a8fbbd71efcc8d767a9d6191e0831c49bccdf2c635cd9a479446
- Size of remote file:
- 1.45 GB
- SHA256:
- 8347d7a35b6299db2c610d85b2b83fb0b42dba6ef713bb91d15429f1bf5936b9
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