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:
- dd8ae0dfd88c553b67db7998505ef7af28e5627aa1d5723992b16c3f82f70e14
- Size of remote file:
- 1.53 MB
- SHA256:
- 217b7eb534c710eb0a8eb4e036253efdfc520e707e60bbeb817c24c3a73521e2
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