ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
vladbogo.substack.com
Today’s paper proposes ControlNet++, a new approach to improve the controllability of text-to-image diffusion models when using image-based conditional controls (for example segmentation masks or depth maps). Existing methods struggle to generate images that accurately align with the input conditional controls.
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
ControlNet++: Improving Conditional Controls…
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
Today’s paper proposes ControlNet++, a new approach to improve the controllability of text-to-image diffusion models when using image-based conditional controls (for example segmentation masks or depth maps). Existing methods struggle to generate images that accurately align with the input conditional controls.