The Instance-Level Recognition and Generation (ILR+G) Workshop focuses on computer vision tasks that operate at instance-level granularity, covering both recognition (ILR) and generation (ILG). Unlike category-level, ILR identifies and compares specific objects, scenes, or events, enabling open-world applications with a vast number of distinct classes. ILG, or personalized generation, aims to create content while preserving the identity of particular instances. This 7th edition explores potential synergies between ILR and ILG. The workshop features keynote talks by renowned speakers, invited papers, and a call for papers, aiming to bring together researchers working on instance-level tasks and inspire new research and collaborations.