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Sunburst 多輪精確編輯壓測:換衫連環到第幾輪崩

原圖→改 T 恤→再拿輸出當下輪輸入,連壓五輪:別的模型第三輪已噩夢,Sunburst 第五輪還能看。Flare 趕量 / Sunburst 精改——編輯保真硬證據。

原帖未提供效果圖

提示詞

How many times can you edit an image with AI before it becomes unusable?

GPT-Image 2.5 Sunburst was released, and one of its biggest improvements was being able to make precise edits to the same image over and over without changing anything else.

So I decided to stress test it.

I took a picture for the input, prompted to change the t-shirt, and then used the output as the input for the next prompt.

This video doesn't necessarily make the model look great.

But if you do this with other models, it will barely even make it to round 3 before looking like something out of a nightmare.

Here, even at round 5, the generation isn't too bad.

When editing an image with AI, it's rare that you would go over two rounds anyway before restarting entirely with the OG image. 

GPT-Image 2.5 is quickly becoming my favorite AI image model, and I absolutely love the speed of Flare and the precise editing of Sunburst.

中文翻譯

你最多能用 AI 編輯同一張圖片多少次,它纔會變得不可用?

GPT-Image 2.5 Sunburst 發佈了,它最大的改進之一就是能夠對同一張圖片反覆進行精確編輯,而不改變其他任何東西。

於是我決定對它做一次壓力測試。

我拿一張圖作爲輸入,用提示詞要求更換 T 恤,然後把輸出作爲下一次提示的輸入。

這個視頻並不一定會讓這個模型顯得多出色。

但如果你用其他模型這樣做,它幾乎撐不到第 3 輪就會變得像噩夢裏的東西。

而在這裏,即使到了第 5 輪,生成結果也不算太糟。

用 AI 編輯圖片時,你通常很少會超過兩輪,之後就會乾脆用原始圖片重新開始。

GPT-Image 2.5 正迅速成爲我最喜歡的 AI 圖像模型,我非常喜歡 Flare 的速度和 Sunburst 的精確編輯。

溯源

原作者
alecwilcock
發佈日期
2026-09-17
原始出處
查看原帖 ↗
收錄來源
xianyu110/awesome-gpt-image2.5 · 2100555617941307601 · MIT