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This was one of my first tries using Controlnet on a short img2ing PNG sequence of my wife kissing our daughter... Does anyone even read this? I do not believe you... Prove it by leaving a comment...

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What is ControlNet?
ControlNet was introduced in Adding Conditional Control to Text-to-Image Diffusion Models by Lvmin Zhang and Maneesh Agrawala. It introduces a framework that allows for supporting various spatial contexts that can serve as additional conditionings to Diffusion models such as Stable Diffusion. The diffusers implementation is adapted from the original source code.

Training ControlNet is comprised of the following steps:

Cloning the pre-trained parameters of a Diffusion model, such as Stable Diffusion's latent UNet, (referred to as “trainable copy”) while also maintaining the pre-trained parameters separately (”locked copy”). It is done so that the locked parameter copy can preserve the vast knowledge learned from a large dataset, whereas the trainable copy is employed to learn task-specific aspects.
The trainable and locked copies of the parameters are connected via “zero convolution” layers (see here for more information) which are optimized as a part of the ControlNet framework. This is a training trick to preserve the semantics already learned by frozen model as the new conditions are trained...

What is stable diffusion AI?
Stable Diffusion is a machine learning, text-to-image model to generate digital images from natural language descriptions. The underlying approach was developed at LMU Munich and then extended by a collaboration of StabilityAI, LMU, and Runway with support from EleutherAI and LAION...

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