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:
- f5adf66df9bb6e356b43a91bc01ac0278c48ec848ae595ad28c98a5f0d6551a9
- Size of remote file:
- 1.45 GB
- SHA256:
- 91cd3d32b75b055ae1c9a356878e57b90d5b41f948874ab247c081df97025ca1
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