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Lovspark/Models模型/GPT2 ImageGPT2 Image

GPT2 ImageGPT2 Image

GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image…GPT-2 Image (Note: actual model is…

Reference参考图 1:11:1 4K4K

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GPT2 Image logo Image model图像模型

GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image generation model with "thinking" capability. Achieves ~99% text rendering accuracy (up from 90-95%), supports up to 4096×4096 resolution, generates up to 8 consistent images per request. Features Thinking mode with integrated reasoning and web search.GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image generation model with "thinking" capability. Achieves ~99% text rendering accuracy (up from 90-95%), supports up to 4096×4096 resolution, generates up to 8 consistent images per request. Features Thinking mode with integrated reasoning and web search.

Why use GPT2 Image on Lovspark为什么在 Lovspark 上用 GPT2 Image

GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image generation model with "thinking" capability. Achieves ~99% text rendering accuracy (up from 90-95%), supports up to 4096×4096 resolution, generates up to 8 consistent images per request. Features Thinking mode with integrated reasoning and web search.GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image generation model with "thinking" capability. Achieves ~99% text rendering accuracy (up from 90-95%), supports up to 4096×4096 resolution, generates up to 8 consistent images per request. Features Thinking mode with integrated reasoning and web search.

Resolution and framing分辨率与画幅

Outputs at 2K and 4K, across 8 aspect ratios from 1:1 to 21:9. Pick the frame before you generate instead of cropping afterwards.支持 2K 与 4K, 共 8 种画幅比例(1:1 到 21:9)。出图前先定画幅, 而不是事后裁切。

Reference images参考图

Takes up to 7 reference images in one run, so style, subject and layout can each come from a different source instead of being crammed into one prompt.单次最多接 7 张参考图 —— 风格、主体、构图可以分别来自不同来源, 不必全塞进一句提示词。

Cost and speed成本与速度

60 credits per run, typically around 180 seconds. Both are shown on the canvas before you run, so a batch never costs more than you expected.单次 60 积分, 通常约 180 秒。运行前画布上就会标出这两项, 批量生成不会超出预期。

How it works使用步骤

How to generate images with GPT2 Image on Lovspark在 Lovspark 上用 GPT2 Image 生成图像

From first prompt to production-ready image in four steps on Lovspark.在 Lovspark 上从第一句提示词到可交付的图像, 四步。

GPT2 ImageGPT2 Image Step 1第 1 步

Open the Lovspark image generator打开 Lovspark 图像生成器

Pick GPT2 Image from the model selector. Credits and expected run time are shown before you commit.在模型选择器里选 GPT2 Image。生成前就会标出积分与预计耗时。

+ Step 2第 2 步

Add your references挂上参考图

Attach up to 7 reference images to lock the subject, the product or the style — instead of describing it all in words.最多挂 7 张参考图, 锁住主体、产品或风格 —— 不用全靠文字描述。

Editorial product photograph, dramatic side light, hyperreal detail Step 3第 3 步

Write the prompt写提示词

Describe subject, composition, lighting and mood. GPT2 Image reads long prompts, so detail pays off.写清主体、构图、光线和氛围。GPT2 Image 吃得下长提示词, 写细一点更有回报。

Step 4第 4 步

Refine and keep the best挑出并继续打磨

Compare the variants, then upscale or edit the one you keep — or send it straight into the next node on the canvas.横向比较各个变体, 对留下的那张做放大或继续编辑 —— 也可以直接送进画布的下一个节点。

Specifications规格

Credits per run单次积分6060
Resolution分辨率2K · 4K2K · 4K
Aspect ratios画幅比例1:1 4:3 3:4 16:9 9:16 3:2 2:3 21:91:1 4:3 3:4 16:9 9:16 3:2 2:3 21:9
Reference images参考图数量up to 7最多 7 张
Typical run time预计耗时~180s在 Lovspark 上约 180 秒
Model key模型标识gpt-image-2gpt-image-2

Frequently asked questions常见问题

What is GPT2 Image?GPT2 Image 是什么?

GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image generation model with "thinking" capability. Achieves ~99% text rendering accuracy (up from 90-95%), supports up to 4096×4096 resolution, generates up to 8 consistent images per request. Features Thinking mode with integrated reasoning and web search. It runs inside Lovspark's image generator and on the node canvas, so it can be swapped for another model without rebuilding the workflow.GPT-2 Image (Note: actual model is GPT-Image-2, released by OpenAI in April 2026): First image generation model with "thinking" capability. Achieves ~99% text rendering accuracy (up from 90-95%), supports up to 4096×4096 resolution, generates up to 8 consistent images per request. Features Thinking mode with integrated reasoning and web search. 它跑在 Lovspark 的图像生成器与节点画布里, 换成别的模型也不用重搭工作流。

How much does GPT2 Image cost per run?GPT2 Image 单次要多少积分?

60 credits per run on Lovspark. The cost is shown on the node before you generate, and a batch multiplies it by the number of images requested.在 Lovspark 上单次 60 积分。生成前节点上就会显示, 批量生成按张数相乘。

What resolutions and aspect ratios does it support?支持哪些分辨率和画幅?

2K and 4K, in 8 aspect ratios: 1:1, 4:3, 3:4, 16:9, 9:16, 3:2, 2:3, 21:9.2K 与 4K, 共 8 种画幅:1:1、4:3、3:4、16:9、9:16、3:2、2:3、21:9。

Can I use reference images?可以用参考图吗?

Yes — up to 7 per run. Style, subject and composition can each come from a different reference instead of being described in words.可以 —— 单次最多 7 张。风格、主体、构图可以各用一张参考图, 不必全靠文字描述。

How long does a generation take?生成一次要多久?

Typically around 180 seconds on Lovspark, depending on resolution and queue.通常约 180 秒, 取决于分辨率与排队情况。

Ready to try GPT2 Image on Lovspark?要在 Lovspark 上试试 GPT2 Image 吗?

Open it on the canvas alongside every other model — switching costs nothing.在画布上和其他模型并排打开 —— 换模型不花任何代价。

Start with GPT2 Image开始使用 GPT2 Image

Made with Lovspark社区作品

Public work from the Lovspark community.来自 Lovspark 社区的公开作品。

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