ChatGPT Image 2

Create high-quality images with ChatGPT Image 2. Add reference images when the model supports them.

ChatGPT Image 2 preview

Explore Popular AI Image Models

Compare models and choose the one that fits your next idea.

Model capabilities

Precision, Powered by GPT Image 2

Control the composition, keep references consistent, adjust the lighting, and edit specific details.

Camera and composition control example

01 / COMPOSITION

Control the Composition and Camera

Choose the framing, camera angle, perspective, and depth to create the scene you want.

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Consistent subject and visual style example

02 / CONSISTENCY

Keep Subjects and Styles Consistent

Use reference images to maintain the same character, product, clothing, or visual style across new images.

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Controlled lighting and atmosphere example

03 / LIGHTING

Control Light and Atmosphere

Adjust the light direction, contrast, color, and time of day to create different moods.

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One workspace

Generate, Edit, and Upscale in One Place

Create an image from text and references, edit the result, and upscale it without switching tools.

Text
Create a cinematic portrait of a woman walking through a rain-soaked train platform, using the reference image’s warm reflections and quiet atmosphere.
Image
GPT Image 2 generated architecture
Image generation
ModelChatGPT Image 2
InputsText + image
1 imageGenerate
Generated image
GPT Image 2 generated fashion image
Ready
Edit image
GPT Image 2 generated interior
Edited
Upscale 4×
GPT Image 2 generated fashion image after upscaling
GPT Image 2 generated fashion image before upscaling

Frequently Asked Questions

Compare GPT Image 2's strengths, ideal use cases, supported controls, and tradeoffs before you generate.

What is GPT Image 2 best at?

GPT Image 2 is strongest when a brief contains many explicit requirements. It combines high-quality generation and editing with strong instruction following, high-fidelity image inputs, and room for detailed prompts, making it a practical choice for layouts, product scenes, and precise visual revisions.

Which projects suit GPT Image 2?

Use it for marketing graphics, product mockups, editorial illustrations, diagrams, posters, or any image where the model must coordinate several objects, references, and pieces of copy. Its broad reference allowance is especially useful when a result needs to combine people, products, styling, and composition cues from separate sources.

What inputs and output sizes are supported?

The Gigapixel AI workspace accepts up to 16 reference images and offers 1K, 2K, and 4K output. Available layouts include Auto, square, landscape, portrait, 4:3, and 3:4. The workspace prevents unsupported size combinations before submission.

How does GPT Image 2 compare with other image models?

Choose GPT Image 2 when instruction precision and many references matter most. Nano Banana 2 is a strong alternative for faster multi-reference iteration with a wider set of aspect ratios, while Nano Banana Pro is better suited to complex, studio-style compositions where final-image polish is the priority.

How should I prompt GPT Image 2?

Structure the prompt in layers: subject, composition, exact text, materials, lighting, camera, and constraints. When uploading several references, state the role of each one—for example, “use image 1 for the product, image 2 for the palette, and image 3 for the framing”—and quote any text that must appear in the image.

When should I choose another model?

Choose a different model when the brief is mainly open-ended style exploration or when you want the fastest possible batch of rough concepts. Midjourney is more style-led, and Flux Schnell is a simpler option for rapid text-only iteration before you commit to a detailed production brief.

Upscale Images & Videos With Gigapixel AI

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