Show HN: UniWorld V2 – Region-Aware AI Image Editing with RL Accuracy https://ift.tt/ER4jtqO

Show HN: UniWorld V2 – Region-Aware AI Image Editing with RL Accuracy I built UniWorld V2, a next-generation AI image editing model that understands regions, text, and context — all in one coherent workflow. Unlike typical diffusion editors, UniWorld V2 applies precise regional edits, integrates reinforcement-learning feedback (Edit-R1), and treats text as a native visual element — not just texture. Key Features • Region-Aware Editing – Mask any area, apply a prompt; lighting and global coherence stay intact. • RL-Enhanced Accuracy (UniWorld-R1) – MLLM-based reward model improves intent alignment and edit quality (outperforms GPT-Image-1, Nano Banana, Gemini). • Multi-Round Edit Consistency – Edit → re-edit → refine without style drift. • Advanced Typography Editing – Insert or replace text while preserving font, spacing, and perspective. • Precision Object Control – Move, add, remove, or replace objects with explicit commands. Use Cases Ad & social asset localization Product & UI iteration Education / L&D content Editorial & newsroom visuals E-commerce & creator workflows https://ift.tt/VlJ2RKQ UniWorld V2 combines region-aware control, RL precision, and advanced typography — setting a new benchmark for AI-powered image editing tools. Would love feedback from the HN community — especially around usability, edit stability, and RL feedback design. https://ift.tt/VlJ2RKQ November 10, 2025 at 07:14AM