SuperAPI AI Directory

GPT Image

Create and edit AI images with GPT Image 2 using prompts, reference images, quality controls, aspect ratios, and downloadable results.

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About this tool

GPT Image is an AI image generation and editing tool based on the GPT Image 2 model, designed to help users transform prompts and reference images into high-fidelity visual images. Users can perform text-to-image or image-to-image operations through the generator on the website, and download the generated results.

Main capabilities

  • Text-to-image: Enter detailed prompts to let the model generate new images from scratch, suitable for drafts, concept exploration, and visual brainstorming.
  • Image-to-image: Upload a reference image and describe the desired modifications; the model can use that image as visual context to help maintain consistency in subject, composition, style, or product details.
  • Text rendering within images: Can generate visual content containing clear text, such as poster titles, product labels, logos, stickers, packaging instructions, and short copy, with support for multilingual text rendering.
  • Material, lighting, and texture expression: Can describe details such as glass, fabric, paper, metal, skin, paint, ceramic, neon, daylight, studio lighting, or soft shadows to generate surface effects with more atmosphere, realism, and tactile detail.
  • Style diversity: Supports multiple styles such as realistic photography, editorial illustration, cinematic concept art, clean product rendering, social graphics, and experimental compositions without switching tools.
  • Composition flexibility: Supports square, vertical, horizontal, and larger visual formats, making it easy to adapt one idea into thumbnails, ad concepts, poster drafts, presentation images, or wide key visuals.
  • Reference image editing: Upload a source image and describe changes, maintaining visual intent during the generation process.
  • Character consistency: The materials mention that consistent characters can be generated, but do not provide specific operational details.
  • Built-in world knowledge: The model can leverage broad knowledge about locations, objects, design eras, materials, lighting, and visual conventions, making prompt generation more specific and believable scenes.

How to use Users enter prompts or upload reference images in the generator on the page, select quality settings and aspect ratio, and then generate images. After generation is complete, quality levels can be compared and results downloaded. The materials suggest writing prompts as clear creative briefs, including subject, scene, composition, lighting, style, ratio, and constraints. The page also provides curated image inspiration, and any prompt can be sent directly to the generator.

Use cases

  • Marketing assets: Poster ideas, advertising concepts, launch visuals, thumbnails, and social images.
  • Product visuals: Product scenes, clean compositions, background ideas, and e-commerce-style images.
  • Creative drafts: Generate multiple refinement directions from a rough idea, then choose the strongest visual route.
  • Reference image editing: Upload a source image and describe modifications, maintaining consistent visual intent.

Limitations and information not provided The materials do not provide specific pricing, billing methods, credit calculation rules, freequota, generation speed, supported image formats, specific maximum resolution values, API availability, platform restrictions, or privacy policy details. Regarding the specific implementation of character consistency, the materials only mention the capability and do not explain the operational steps.