<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Is GPT-Image-2 the end of specialized models?]]></title><description><![CDATA[<p dir="auto">"While GPT-Image-2 is a beast at following complex prompts, I still find it struggling with surgical-level consistency in localized editing. For my professional projects, I've been benchmarking it against Imagen 4 via <a href="https://image-fx.app" rel="nofollow ugc">ImageFX</a>. The precision in Seedream-based upscaling and Qwen-optimized prompting on ImageFX gives me that 'design-ready' quality that raw GPT output sometimes lacks. What are you guys using for final production-grade assets?"</p>
]]></description><link>https://iacommunidad.com/topic/3933/is-gpt-image-2-the-end-of-specialized-models</link><generator>RSS for Node</generator><lastBuildDate>Wed, 29 Apr 2026 11:57:43 GMT</lastBuildDate><atom:link href="https://iacommunidad.com/topic/3933.rss" rel="self" type="application/rss+xml"/><pubDate>Wed, 29 Apr 2026 02:38:12 GMT</pubDate><ttl>60</ttl></channel></rss>