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GPT Image 2是OpenAI在2026年推出的最新AI影像產生器,專為高品質超詳細影像生成、進階AI影像編輯和一致的多影像輸出而設計。它使創作者、行銷人員和設計師能夠透過準確的文字、強大的即時理解和可擴展的工作流程來製作逼真的視覺效果。
超詳細影像生成

近乎完美的文字渲染

逼真的細節

強烈的及時理解

高保真編輯

批次

GPT Image 2 produces more detailed, more accurate and realistic images, with advanced image editing and multi-image generation capabilities.This new model significantly outperforms GPT Image 1 across all key dimensions.
GPT Image 2 結合了影像產生和影像編輯,簡化了工作流程。團隊可以產生草稿視覺效果,並在單一人工智慧驅動的設計工作流程中使用後續提示對其進行完善。
電子商務產品視覺效果的 GPT 圖片 2

適用於社群媒體的 GPT Image 2 AI 影像產生器

品牌 GPT 圖片 2

遊戲藝術的 GPT 圖 2

適用於 UI、資訊圖表的 GPT Image 2 AI 影像產生器

用於講故事的 GPT 圖 2

在 Viddo.ai 上使用 GPT Image 2 創建高品質的 AI 生成影片非常快速且適合初學者 — 無需任何編輯技能。
Emily Carter
Brand Designer at a DTC Skincare Company
Before switching to GPT Image 2, we were using separate tools for image generation and image editing, plus Photoshop for text fixes.
What surprised me most is how well it handles typography. We generated product posters with headlines, subtext, and layout already in place — something that never worked reliably before.
In our latest campaign, we produced over 40 ad creatives from a single structured prompt. The outputs were consistent enough that we barely needed manual adjustments. That used to take our team several days, now it’s closer to a few hours.
Daniel Kim
Frontend Developer & Indie SaaS Founder
I’m using GPT Image 2 as part of a dynamic image generation system for landing pages.
The size control is actually a big deal — being able to generate flexible large-format images that fit perfectly into responsive layouts saves a lot of front-end hacks.
With GPT Image 1, I had to rewrite prompts multiple times to get close to what I wanted. Now it’s usually one or two iterations, and the model follows structure much more reliably.
Lucas Moretti
YouTube Creator (1.2M subscribers)
Thumbnail performance improved noticeably after switching to GPT Image 2.
The images feel less ‘AI-generated’ — lighting, contrast, and facial details look closer to real photography. That makes a difference when you’re competing for clicks.
Across about 10 videos, I saw roughly an 18% increase in click-through rate using thumbnails generated with GPT Image 2 compared to my previous workflow.
Sophia Nguyen
E-commerce Store Owner (Shopify)
We started using GPT Image 2 mainly for product image generation, but the image editing turned out to be even more valuable.
I can upload a product photo and generate different lifestyle scenes without reshooting anything. The product shape and proportions stay accurate, which was always an issue with older AI tools.
It’s made it much easier to scale visuals for new collections without increasing our production costs.
Alex Petrov
Game Artist & Concept Designer
Character consistency is where GPT Image 2 really stands out.
I tested generating multiple variations of the same character — different poses, angles, and lighting — and the core design stayed stable. That’s something I couldn’t rely on with GPT Image 1.
It reduces a lot of repetitive correction work when building concept sets.
Rachel Stein
Performance Marketing Manager (Agency)
For performance marketing, speed matters more than anything.
With GPT Image 2, we can generate and iterate ad creatives much faster because image generation and image editing are in the same workflow.
Recently, we built over 20 variations for a campaign in a single afternoon. Normally, that would involve design back-and-forth for at least a couple of days.
您可以產生行銷視覺效果、產品圖像、海報、分鏡、UI 設計和多語言佈局。它對於需要精確組成和一致性的項目特別有效。
是的。 GPT Image 2 专为视觉一致性和准确的文本渲染而设计,非常适合创建具有相同字符、风格或品牌的多个图像。它可以在不同版本之間保持一致的元素,同時還可以為海報、廣告、UI 佈局和行銷資產生成清晰、可讀的圖像文字。这使得它对于可扩展的内容制作特别有效,因为设计精度和一致性都很重要。
GPT Image 2 大大改進了圖像上的文字。它可以在擴展的細節層級“渲染細粒度元素”,例如小文字和圖像。測試和文件報告顯示,英語文本準確率約為 99%,並且在 48 種語言(包括日語、韓語、印地語、孟加拉語、中文、阿拉伯語、希伯來語、西里爾語和拉丁語腳本)中顯著提高。 GPT Image 2 現在適用於包含真實單字的標誌和 UI,即使在不同的腳本中也是如此。
是的。此影像編輯系統提供四種模式:
(1) 修復 - 修改或取代選定區域內的物件
(2) 修復 - 將影像擴展到原始邊界之外
(3) 風格轉移 - 應用藝術風格
(4) 區域遮罩 - 調整特定區域,同時保留其他區域
只需多步驟編輯流程的精確結果即可。
GPT Image 2 支援以下常用比例:1:1、16:9、9:16、4:3、3:4 和 21:9,允許靈活輸出方柱、垂直視訊、寬螢幕顯示和影片構圖。所有輸出都遵循精確的生成約束,以確保一致的視覺品質。
GPT Image 2 帶來了重大改進。它單獨允許產生多個影像(一次 8 個影像),而 GPT Image 1 則不允許。它支援擴展的細節容量,而不是 GPT1 的標準規模限制。文字輸出的準確度從 90–95%(經常出現亂碼)提高到約 99%。 GPT Image 2 更忠實地遵循提示,並具有內建推理(網路資料和自我檢查)。簡而言之,GPT Image 2 對於創意任務來說更加強大和可靠。
