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ControlNet Using the Facial Landmark Condition for De-identification Purposes

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controlnet_de_identification

ControlNet Using the Facial Landmark Condition for De-identification Purposes


license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base tags:

  • stable-diffusion
  • stable-diffusion-diffusers
  • text-to-image
  • diffusers
  • controlnet inference: true

saeu5407/controlnet-landmark

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.

The model was trained based on 256x256 single person images.

It also shows appropriate performance for large-sized images other than 256x256.

You can find some example images below.

prompt: a middle-aged black rapper in a black hat images_1)

prompt: a men in cafe images_0)

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ControlNet Using the Facial Landmark Condition for De-identification Purposes

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