This topic examines the growing overlap between generative image-editing built into UI design tools (exemplified by Figma’s new AI features) and purpose-built AI image editors and platforms. As of late 2025, many teams must choose between in-app, editable generation that speeds UI/UX workflows and dedicated editors that offer finer photorealistic control, specialized APIs, or production-scale outputs. Key players illustrate these tradeoffs: Magify and v0 prioritize UI-first generation and exportable, editable results for Figma-based workflows; Canva Magic Design and Adobe Firefly target fast, on‑brand composition and Creative Cloud integration; Jasper Art, PhotoEditor.ai, Stability AI, and Pollinations.AI focus on text-to-image generation, scalable editing, developer APIs, or open-source accessibility; Whatmore Studio offers ecommerce-focused on-model product imaging. Investigation notes for Freepik and others also flag access and licensing considerations that affect production use. The practical distinctions are: embedded UI AI (Figma+Magify/v0) streamlines prototyping, component generation, and handoff, while dedicated editors (Firefly, Stability, Jasper Art, PhotoEditor.ai) provide higher-fidelity edits, upscaling, and enterprise APIs for marketing, assets, and long-form production. Cross-cutting issues—model quality, prompt engineering, integration/export fidelity, licensing/credits, and privacy—determine which approach fits a project. For teams, the choice often comes down to workflow: use in‑tool generative features to iterate and export editable components, then switch to specialized editors or APIs when pixel-level control, photorealism, or enterprise governance is required. Understanding these tradeoffs—and verifying licensing and integration—helps design and content teams adopt the right mix of Figma’s AI features and standalone generative editors.