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圓珠筆草圖硬剛成片:Image2 vs Flare/Sunburst

只丟一張潦草構圖(手寫 5 ARCHES / KEEP HIM SMALL),同題一跑:2 High + 2.5 Max 4K。符號寫進 prompt 的 Sketch→成片對照,n=1 但選型有感覺。

圓珠筆草圖硬剛成片:Image2 vs Flare/Sunburst — 1

提示詞

A ballpoint scribble went in as the only image. Three finished photographs came out.

GPT Image 2 vs 2.5, specimen 03: sketch to image. The input was a crude composition diagram in ballpoint, shapes only, with handwritten notes such as 5 ARCHES and KEEP HIM SMALL. The prompt told each model to read it as a blueprint and follow the notes. Same prompt, one run each, first result kept. GPT Image 2 at High, 2.5 Sunburst and 2.5 Flare at Max, all 4K.

All three followed the diagram: five arches, a locomotive and four carriages heading left with steam trailing right, a small figure on a boulder at lower left with a bicycle, pine at the right edge, river from the lower right, sun upper right behind the hill. No handwriting made it into the picture, no paper texture either.

Where they part: GPT Image 2 turned the gorge into open moorland with a wide shallow river, and its mist under the arches is a few wisps near the water. Sunburst has the densest mist under the arches. Flare's mist sits mostly in the far valley.

Verdict, from one person going through the originals: GPT Image 2 and Flare look better. Sunburst has a lot of high-frequency noise, so the image looks dirty and less clear. That was at Max quality.

Method and what you pay in the reply.

中文翻譯

一張圓珠筆塗鴉作爲唯一輸入。輸出三張成品照片。

GPT Image 2 vs 2.5,樣本 03:草圖到圖像。輸入是一幅用圓珠筆畫的粗糙構圖示意圖,只有形狀,並帶有手寫註釋,例如 5 ARCHES 和 KEEP HIM SMALL。提示詞要求每個模型把它當作藍圖來讀,並遵循這些註釋。相同提示詞,各跑一次,保留第一個結果。GPT Image 2 使用 High,2.5 Sunburst 和 2.5 Flare 使用 Max,全部 4K。

三張都遵循了示意圖:五道拱門;一輛機車和四節車廂朝左行駛,蒸汽向右拖曳;左下方一塊巨石上有個小小的人影和一輛自行車;右邊緣有松樹;河流從右下方延伸而來;太陽在右上方山丘之後。畫面中沒有出現任何手寫筆跡,也沒有紙張紋理。

它們的差異在於:GPT Image 2 把峽谷變成了開闊的荒原,配一條寬闊的淺河,拱門下的薄霧只是水邊幾縷。Sunburst 拱門下的霧最濃密。Flare 的霧大多停留在遠處的山谷中。

結論,來自一個人逐一查看原圖:GPT Image 2 和 Flare 看起來更好。Sunburst 有大量高頻噪點,因此畫面看起來髒、不夠清晰。而這還是在 Max 質量下。

方法與所需花費見回覆。

溯源

原作者
FlyAIgh
發佈日期
2026-09-16
原始出處
查看原帖 ↗
收錄來源
xianyu110/awesome-gpt-image2.5 · 2100205158911361300 · MIT