GPT Image 2 API

Prompt it. Refine it. Ship it with GPT Image 2.

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Production-ready AI image generation and editing

Welcome to the GitHub home of GPT Image 2 API, a browser and API platform for creating polished visual assets from detailed prompts and reference images. It is built for creators, designers, marketers, ecommerce teams, developers, and products that need reliable image generation and targeted editing without maintaining model infrastructure.

The platform focuses on practical creative work: readable text, stable composition, convincing materials, and consistent visual direction. Users can begin in the web interface, iterate on an asset with precise instructions, and then move the same type of workflow into an application through developer-friendly API tasks.

Explore GPT Image 2 · Browse prompts · View the showcase · Read the API docs

One workflow from brief to production asset

1. Write the brief — Define the subject, environment, composition, lighting, color, materials, typography, and intended channel.
2. Add references — Upload authorized images that communicate identity, product details, layout, style, or brand direction.
3. Generate — Create an initial image from the prompt and reference context.
4. Evaluate — Check subject accuracy, text, hands and objects, materials, spacing, visual hierarchy, and format.
5. Edit precisely — Replace a subject, change a background, correct wording, refine a local region, or adjust the visual style.
6. Create a set — Produce related variations while keeping the key brand or character direction consistent.
7. Export or automate — Download PNG or JPEG output, or submit the validated flow through an API task.

Core capabilities

• Text-to-image generation — create posters, ads, product scenes, illustrations, characters, comics, and design concepts from natural-language prompts.
• Reference-guided creation — use existing images to communicate subject, composition, style, or brand direction.
• Targeted image editing — replace subjects, change backgrounds, update styles, extend a scene, or retouch selected details.
• Readable text rendering — produce visuals that require titles, labels, packaging, signs, or marketing copy.
• Consistent art direction — maintain a coherent look across campaign variations, character sheets, and related outputs.
• Production exports — download finished assets in PNG or JPEG format for downstream design and publishing work.
• Developer API — create keys, submit generation tasks, monitor status, retrieve results, and manage credit-based usage.

Common use cases

GPT Image 2 API is suitable for ecommerce hero images, product mockups, social media graphics, advertising concepts, brand assets, editorial illustrations, presentation visuals, character development, and automated creative features inside SaaS products.

Designed for production details

The platform is especially useful when an image must do more than look interesting:

• Typography and labels — Posters, packaging, signage, diagrams, and social cards often need readable words inside the image.
• Product presentation — Ecommerce work benefits from stable shape, material, color, lighting, and clean backgrounds.
• Campaign consistency — Related ads and posts need a recognizable visual system even when composition changes.
• Targeted revision — A strong image should be repairable without losing every successful decision from the earlier version.
• Reference continuity — Character sheets, branded objects, and recurring scenes benefit from clear source-image guidance.
• Format readiness — Different destinations require deliberate aspect ratio, resolution, file type, and safe text placement.

Generated media still requires human review. Accuracy depends on prompt quality, reference quality, model behavior, selected settings, and the complexity of text or scene details.

For visual and technical teams

• Designers can develop mockups, key art, layout concepts, and rapid visual directions.
• Marketing teams can produce campaign variants, social graphics, posters, and ad concepts.
• Ecommerce teams can create product scenes, hero imagery, comparison graphics, and merchandising assets.
• Creators and storytellers can explore characters, comics, scenes, and consistent visual series.
• Developers can add managed image generation and editing to SaaS products or internal tools.

A practical API workflow

1. Create an API key and keep it in a secure server-side environment;
2. Select a supported image model and prepare the prompt, references, and output options;
3. Submit a generation or editing task with authenticated API access;
4. Retain the task ID and poll until the task succeeds or fails;
5. Validate and store the returned asset according to the application's privacy and retention rules;
6. Track history and credit usage, and handle rate limits, retries, timeouts, and provider failures.

Do not expose secret keys in browser code or public repositories. Applications should also validate upload rights, moderate inputs and outputs, and communicate generation status clearly to users.

Product principles

• Production quality over novelty alone — Composition, text, material, and export usefulness matter.
• Editing is part of generation — A strong workflow supports correction and refinement after the first result.
• References are creative controls — Source images should guide identity and design without replacing user judgment.
• Browser and API parity — Interactive learning should translate into repeatable developer tasks.
• Human review remains essential — Every asset should be checked for accuracy, rights, safety, and brand fit.

From concept to production

1. Describe the subject, composition, lighting, text, format, and intended use.
2. Add reference images when visual continuity or targeted editing matters.
3. Generate and refine the output until it meets the production goal.
4. Export the asset, or use an API key to run the workflow programmatically.

Explore GPT Image 2 API

• Website — Learn about the complete image platform.
• GPT Image 2 — Open the model-focused creation experience.
• Prompt Gallery — Browse reusable image prompt structures.
• Showcase — Review public examples and visual directions.
• Documentation — Read getting-started and integration guidance.
• API Overview — Review authentication and task execution.
• Pricing — Check current plans, credits, and usage.
• Blog — Read image-generation guides and updates.

Explore the platform at gptimage2api.net. For support, contact support@gptimage2api.net.

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简体中文

面向生产使用的 AI 图片生成与编辑平台

欢迎来到 GPT Image 2 API 的 GitHub 组织主页。GPT Image 2 API 同时提供浏览器工作台和 API，能够根据详细提示词与参考图片创建完成度较高的视觉素材，适合创作者、设计师、营销人员、电商团队、开发者，以及不希望自行维护模型基础设施的产品团队。

平台专注于实际创意交付，包括清晰的文字、稳定的构图、真实的材质表现和一致的视觉方向。用户可以先在网页中生成和精修图片，再把同类流程通过开发者 API 接入自己的应用。

探索 GPT Image 2 · 浏览提示词 · 查看案例 · 阅读 API 文档

从创意简报到生产素材的一体化流程

1. 编写简报：定义主体、环境、构图、灯光、配色、材质、文字和目标渠道。
2. 添加参考：上传已获授权的图片，用于表达身份、商品细节、布局、风格或品牌方向。
3. 生成：根据提示词和参考上下文创建第一版图片。
4. 评估：检查主体准确性、文字、手部和物体、材质、间距、视觉层级和格式。
5. 精确编辑：替换主体、修改背景、纠正文字、精修局部或调整视觉风格。
6. 创建系列：在保留品牌或角色关键方向的同时生成相关变体。
7. 导出或自动化：下载 PNG、JPEG，或通过 API 任务提交已验证流程。

核心能力

• 文生图：根据自然语言提示创建海报、广告、商品场景、插画、角色、漫画和设计概念。
• 参考图引导：通过现有图片传达主体、构图、风格或品牌方向。
• 定向图片编辑：替换主体、修改背景、更新风格、扩展画面或精修局部细节。
• 清晰文字渲染：生成包含标题、标签、包装、标牌或营销文案的视觉内容。
• 一致的艺术方向：让营销活动变体、角色设定和系列素材保持统一观感。
• 生产格式导出：将成品导出为 PNG 或 JPEG，继续用于设计与发布。
• 开发者 API：创建密钥、提交任务、查询状态、获取结果并管理额度使用。

常见用途

适用于电商主图、产品 Mockup、社交媒体图片、广告概念、品牌素材、编辑插图、演示文稿视觉、角色设计，以及 SaaS 产品中的自动化创意功能。

为生产细节而设计

当图片不仅要“好看”，还必须可交付时，平台尤其有价值：

• 字体与标签：海报、包装、标牌、图解和社交卡片通常需要图片内文字清晰可读。
• 商品呈现：电商素材需要稳定的形状、材质、颜色、灯光和干净背景。
• 活动一致性：相关广告和帖子即使构图不同，也应保持可识别的视觉系统。
• 定向修改：优秀图片应当可以局部修复，而不必放弃前一版所有成功决策。
• 参考连续性：角色设定、品牌物体和持续场景受益于明确的来源图片指导。
• 格式适配：不同渠道需要有意识地设置宽高比、分辨率、文件类型和文字安全区。

生成媒体仍需人工审核。准确性取决于提示词、参考素材、模型行为、参数以及文字和场景细节的复杂度。

面向视觉与技术团队

• 设计师：开发 Mockup、主视觉、版式概念和快速视觉方向。
• 营销团队：制作活动变体、社交图片、海报和广告概念。
• 电商团队：创建商品场景、主图、对比图和陈列素材。
• 创作者与故事设计者：探索角色、漫画、场景和一致的视觉系列。
• 开发者：将托管图片生成与编辑加入 SaaS 或内部工具。

实用 API 流程

1. 创建 API Key，并只保存在安全的服务端环境；
2. 选择支持的图片模型，准备提示词、参考图和输出选项；
3. 通过鉴权 API 提交生成或编辑任务；
4. 保存任务 ID，并轮询直到任务成功或失败；
5. 按照应用隐私和保留规则验证、存储返回素材；
6. 追踪历史与额度，并处理限流、重试、超时和服务失败。

不要把密钥暴露在浏览器代码或公开仓库中。应用还应核实上传权利、审核输入输出，并向用户清楚展示生成状态。

产品原则

• 生产质量不只追求新奇：构图、文字、材质和导出可用性同样重要。
• 编辑属于生成流程：优秀工作流应支持首轮结果之后的纠正与精修。
• 参考图是创作控制：来源图片用于指导身份和设计，但不能替代用户判断。
• 网页与 API 相互衔接：交互学习应能转化为可重复的开发者任务。
• 人工审核不可缺少：每项素材都应检查准确性、权利、安全和品牌适配。

从概念到生产

1. 描述主体、构图、光线、文字、格式和目标用途。
2. 当需要视觉连续性或定向编辑时添加参考图。
3. 反复生成和优化，直到结果满足交付目标。
4. 导出图片，或创建 API Key 以程序化运行流程。

探索 GPT Image 2 API

• 官方网站 — 了解完整图片平台。
• GPT Image 2 — 打开模型专项创作体验。
• 提示词画廊 — 浏览可复用图片提示结构。
• 作品案例 — 查看公开示例与视觉方向。
• 使用文档 — 阅读快速开始和接入指南。
• API 概览 — 查看鉴权与任务执行。
• 价格方案 — 查看当前套餐、额度和用量。
• 官方博客 — 阅读图片生成指南与更新。

访问 gptimage2api.net 了解平台。如需支持，请联系 support@gptimage2api.net。