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:
- e99b9b083883c8e40ec7f508056496247b49111ddc7e4174b04871d29d879d10
- Size of remote file:
- 1.45 GB
- SHA256:
- 25987accd2d25d3eeac3ce9f20a4d163eceeb838ec929e8cf4cedcaa501b0e4e
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