Developed a personalized image editing system based on diffusion models that enables targeted edits using textual instructions and reference images.
The model learns the identity of a subject from only a few examples. A custom dataset of image-instruction pairs was created for training. This approach allows high-fidelity image modifications while preserving subject identity.