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介绍ChatGPT Images 2.5

原文标题 · Introducing ChatGPT Images 2.5

引入ChatGPT Images 2.5 OpenAI的图像生成模型显然“在ChatGPT Images和API中的GPT-Image模型中使用了超过30亿张图像”。这个最新版本提高了他们在多个转弯中的描述跟踪能力,响应更快,并且“更好地保留参考照片中的主题”。API中有两个新的型号ID:gtt-Image-2.5-朝阳和gtt-Image-2.5-flare。基于此,我认为朝阳是更强的选择:选择

来源:Simon Willison · simonwillison.net

正文为英文,可一键机器翻译(仅首次需要等待)

Simon Willison’s Weblog

Introducing ChatGPT Images 2.5 . OpenAI's image generation models are apparently used "more than 3 billion images across ChatGPT Images and the GPT‑Image models in the API". This latest release improves their instruction-following ability across multiple turns, responds faster, and "is better at preserving the subjects in your reference photos".

There are two new model IDs in the API: gpt-image-2.5-sunburst and gpt-image-2.5-flare . Based on this I think Sunburst is the stronger option:

Choose Sunburst for workflows where editing precision matters most, and Flare for fast, high-quality everyday image generation.

I upgraded my openai_image.py CLI tool to support passing in one or more reference images, so now this works:

uv run https://tools.simonwillison.net/python/openai_image.py \ ' add a raccoon scientist studying the chart thoughtfully ' \ -i https://static.simonwillison.net/static/2026/openai-agent-usage.webp \ -m gpt-image-2.5-sunburst

This is the original image , and here's what I got back from that prompt to "add a raccoon scientist studying the chart thoughtfully":

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