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GPT Image 2是OpenAI在2026年推出的最新AI图像生成器,专为高质量超详细图像生成、高级AI图像编辑和一致的多图像输出而设计。 它使创作者、营销人员和设计师能够通过准确的文本、强大的即时理解和可扩展的工作流程来制作逼真的视觉效果。
超详细图像生成

近乎完美的文本渲染

逼真的细节

强烈的及时理解

高保真编辑

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 结合了图像生成和图像编辑,简化了工作流程。 团队可以生成草稿视觉效果,并在单个人工智能驱动的设计工作流程中使用后续提示对其进行完善。
用于电子商务产品视觉效果的 GPT 图片 2

适用于社交媒体的 GPT Image 2 AI 图像生成器

品牌 GPT 图片 2

游戏艺术的 GPT 图片 2

适用于 UI、信息图表的 GPT Image 2 AI 图像生成器

用于讲故事的 GPT 图片 2

在 Viddo.ai 上使用 GPT Image 2 创建高质量的 AI 生成视频非常快速且适合初学者 — 无需任何编辑技能。
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.
您可以生成营销视觉效果、产品图像、海报、故事板、UI 设计和多语言布局。 它对于需要精确组成和一致性的项目特别有效。
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间保持一致的元素,同时还可以为海报、广告、UI 布局和营销资产生成清晰、可读的图像文本。 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 极大地改进了图像上的文本。 它可以在扩展的细节级别“渲染细粒度元素”,例如小文本和图像。 测试和文档报告显示,英语文本准确率约为 99%,并且在 48 种语言(包括日语、韩语、印地语、孟加拉语、中文、阿拉伯语、希伯来语、西里尔语和拉丁语脚本)中显着提高。 GPT Image 2 现在适用于包含真实单词的标牌和 UI,即使是在不同的脚本中也是如此。
是的。
该图像编辑系统提供四种模式:
(1) 修复 - 修改或替换选定区域内的对象
(2) 修复 - 将图像扩展到原始边界之外
(3) 风格转移 - 应用艺术风格
(4) 区域遮罩 - 调整特定区域,同时保留其他区域
多步骤编辑工作流程只需最少的清理即可产生精确的结果。
GPT Image 2 支持以下常用比例:1:1、16:9、9:16、4:3、3:4 和 21:9,允许灵活输出方柱、垂直视频、宽屏显示和电影构图。 所有输出都遵循精确的生成约束,以确保一致的视觉质量。
GPT Image 2 带来了重大改进。 它单独允许生成多图像(一次 8 个图像),而 GPT Image 1 则不允许。 它支持扩展的细节容量,而不是 GPT1 的标准规模限制。 文本输出的准确度从 90–95%(经常出现乱码)提高到约 99%。 GPT Image 2 更忠实地遵循提示,并具有内置推理(网络数据和自我检查)。 简而言之,GPT Image 2 对于创意任务来说更加强大和可靠。
