Image-to-Image
Diffusers
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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:
- 5732a7d8ce3c55c48a14838af8626773f05d257a7aee4d2b7415f7e568fea803
- Size of remote file:
- 1.45 GB
- SHA256:
- 9d4f35bb941e35ceeb54e4d6d35c9239949b193e5c7389426b95a97e43de884d
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