GPT Image 2 is OpenAI’s next-gen image model built for stronger photorealism, cleaner image editing, sharper text rendering, and more polished product photography. Designed for more advanced visual workflows, it pushes image generation beyond basic text-to-image output and into higher-quality creative, commercial, and design-ready use cases.
Used to describe the generated images.
0/20000For 2K and 4K resolution, the following aspect ratios are not supported: 5:4, 4:5, 3:1, 1:3, and 9:21.
Image resolution
Explore different use cases and parameter configurations
Used to describe the generated images.
0/20000Click to upload or drag and drop
Supported formats: JPEG, PNG, WEBP, JPG Maximum file size: 30MB; Maximum files: 16
Image for reference
For 2K and 4K resolution, the following aspect ratios are not supported: 5:4, 4:5, 3:1, 1:3, and 9:21.
Image resolution
Explore different use cases and parameter configurations
Complete guide to using GPT Image 2
Kie.ai makes GPT Image 2 API easier to access for image generation, image editing, text-rich visuals, and higher-quality commercial image workflows.
GPT Image-2 API can turn written prompts into polished visual output, making it a strong fit for teams that want to generate marketing creatives, product concepts, social media visuals, ad images, illustrations, and branded design assets directly from text. This text-to-image workflow gives developers a flexible way to build AI Image Generator experiences around fast visual ideation, structured prompt-based creation, and more refined image output for real creative workflows. If you’re using GPT Image 2 to create polished product photography from prompts, the GPT Image 2.5 API offers sharper visual quality for more compelling final images.
GPT-Image-2 API can also work from existing images, making it useful for workflows that involve transforming, refining, or visually updating an uploaded input. This image-to-image approach fits use cases such as style changes, background replacement, product recoloring, subject enhancement, composition cleanup, and other controlled edits that need to preserve important parts of the original image. For teams building AI Image Editor products, it adds a more practical path for creating cleaner transformations with stronger visual control.
GPT Image 2 API makes text inside images far more usable for real creative work. It can handle long phrases, multi-word labels, clearer punctuation, and stronger casing consistency, which is especially valuable for storefront mockups, posters, UI concepts, infographics, product packaging, and branded marketing assets. Instead of leaving typography as the weakest part of the image, GPT Image 2 API helps make it feel intentional, legible, and visually aligned with the rest of the composition.
GPT Image-2 API is especially useful in editing workflows where one part of an image needs to change without disrupting everything around it. Product recoloring, object replacement, background updates, and local scene refinements can be handled in a way that keeps original lighting, shadows, textures, and surrounding style more coherent. For AI image editing products, this kind of pixel-level control makes the result feel cleaner and more stable than broad full-image regeneration.
GPT Image 2 Model API is better suited for image generation tasks where visual credibility matters as much as aesthetics. That includes maps, anatomy-style diagrams, historical reconstructions, architectural scenes, educational visuals, and other outputs that depend on stronger structure and factual coherence. By improving how complex scenes, objects, and relationships are interpreted, GPT Image 2 Model API makes generated images feel more informed, more believable, and more useful in detail-sensitive workflows. When your visual workflow extends beyond generating and editing images into hands-on computer tasks, explore the GPT-6 Astra API.
GPT-Image2 API is also positioned around a faster creative workflow, with high-quality generation associated with output speeds. That speed matters when users are testing multiple prompt directions, refining campaign visuals, comparing versions, or building interactive image experiences that need quick turnaround. Combined with stronger instruction following for multi-subject prompts, layered scene details, and tighter layout control, GPT-Image2 API becomes much more practical for complex visual creation at scale.
ChatGPT Image 2 API is especially relevant for visual creation that needs readable text across different languages and markets. This is important for localized ads, international packaging, interface mockups, educational graphics, and branded campaign assets where the text inside the image is part of the final design rather than a placeholder. With stronger multilingual text generation, ChatGPT Image 2 API becomes far more useful for global-facing workflows that need language accuracy and visual polish at the same time.
GPT Image 2 API is especially useful for teams that need to produce a steady volume of polished campaign visuals across different channels and formats. It can support ad images, paid social creatives, promotional banners, launch graphics, seasonal assets, and other branded materials that need to move quickly from concept to usable output. For marketing workflows, the value is not only in generating images faster, but in creating visuals that feel closer to real campaign-ready creative from the beginning.
GPT Image-2 API fits e-commerce and merchandising workflows that require controlled visual updates rather than one-off concept art. Product teams can use it to adjust backgrounds, recolor items, refine listing images, test packaging looks, or update hero visuals for different campaigns without rebuilding the whole scene each time. That makes it particularly relevant for storefront operations and retail content systems where visual consistency and speed both directly affect conversion work.
GPT Image 2 Model API works well in design-oriented environments where image generation is part of a broader content pipeline rather than a standalone feature. It can help create presentation graphics, editorial visuals, UI mockups, blog assets, infographics, concept frames, and branded support images that need to match a larger communication system. In this type of workflow, the model becomes more than a visual generator—it becomes a production layer for repeatable, structured content creation.
ChatGPT Image 2 API is highly relevant for teams working across multiple regions, languages, and audience segments. It can support localized campaigns, multilingual packaging, region-specific promotional visuals, educational graphics, and interface assets where the text inside the image plays an important role in the final design. For international operations, that makes the model especially useful in workflows where visual adaptation, language accuracy, and creative consistency all need to move together.
gpt-image-2-text-to-image and gpt-image-2-image-to-image run on POST /api/v1/jobs/createTask. Pass a callBackUrl to receive the result when the task finishes, verify each callback with the HMAC signature described in the Kie.ai webhook guide, and query Get Task Details for the authoritative result. Pricing for each resolution is shown in the pricing card above.
Resolution should be set explicitly on every request. Higher resolutions drop some of the wider and taller aspect ratios, and the background option only works at 1K.
Prompts can run up to 20,000 characters, image-to-image accepts up to 16 input images, and the aspect ratio is auto unless you set it. Files that are not hosted yet can be uploaded first with the Kie.ai File Upload API (Base64, file stream or remote URL). New Kie.ai users receive 80 free credits for testing. The full parameter list is in the playground and API docs above.