GPT Image 2: The New Standard for AI Image Creation

GPT Image 2 is OpenAI’s current flagship image generation model. It is built for fast, high-quality image creation and editing, with text and image inputs and image output. In practice, that makes it a strong default when you need a polished visual from a prompt, want to transform an existing image, or need text, composition, and style instructions to be followed more closely than older image models.

You can start directly in QoA from the Create workspace. For a focused workflow, open Text to Image when you want to create from a prompt, or Image to Image when you want GPT Image 2 to use one or more reference images.

What makes GPT Image 2 different

OpenAI describes gpt-image-2 as its state-of-the-art image generation model, with the highest performance tier and medium speed in the model overview. It supports text prompts, image references, image generation, and image edits through the Image API, and it is also used in broader image workflows through the Responses API image generation tool.

For creators, the practical difference is reliability. GPT Image 2 is especially useful when the output has to follow a detailed brief:

• photorealistic product scenes, portraits, interiors, and lifestyle images
• marketing assets with specific layout, lighting, color, and framing
• infographics, posters, diagrams, and other structured visual content
• image edits that preserve identity, shape, pose, brand elements, or surrounding context
• style transfer and multi-reference compositions

OpenAI’s prompting guidance recommends GPT Image 2 as the default for new production image workflows, especially when quality, editing reliability, flexible sizing, text-heavy images, photorealism, compositing, or fewer retries matter more than the lowest possible cost.

How to use GPT Image 2 in QoA

The fastest path is the Create workspace. Choose GPT Image 2, select the workflow you need, then write a direct prompt. QoA shows the available fields for the selected model, including prompt, image upload when the workflow supports references, aspect ratio, and resolution.

Use Text to Image when you are starting from an idea:

• “Create a photorealistic product hero image for a matte black desk lamp on a walnut table, warm morning light, clean editorial composition, negative space on the left for headline text.”
• “Create a square album cover with bold geometric type, chrome texture, deep red background, and the title text exactly: NIGHT SIGNAL.”
• “Create a clean educational infographic explaining how a heat pump works, with labeled arrows, simple technical diagrams, and high-contrast readable typography.”

Use Image to Image when the source image matters:

• upload a product photo and ask GPT Image 2 to place it in a new lifestyle scene
• upload a portrait and request a wardrobe, lighting, or background change while preserving identity
• upload a brand asset and ask for a poster, campaign visual, or social layout that keeps the original logo untouched
• upload multiple references and describe exactly which image contributes the subject, style, material, or layout

Prompting patterns that work well

GPT Image 2 responds best to prompts that make the intended asset concrete. Instead of asking for “a beautiful ad,” describe the job the image must do.

Start with the output type: product photo, poster, mobile app mockup, infographic, editorial portrait, packaging render, storyboard frame, or social media banner. Then add the subject, setting, composition, lighting, style, and constraints.

For example:

Create a photorealistic product photo for a premium matcha drink.
Subject: one chilled glass bottle with a minimalist white label.
Scene: bright kitchen counter, soft daylight, condensation on the bottle.
Composition: vertical 4:5, bottle centered, enough negative space above for ad copy.
Constraints: no extra text, no watermark, keep the label clean and readable.

For edits, be explicit about what changes and what must stay fixed:

Change only the background to a modern studio with soft gray walls.
Keep the person, pose, face, clothing, camera angle, and lighting direction the same.
Do not alter the product logo or any text on the package.

For text inside an image, put the exact text in quotes and describe typography, placement, and contrast. Use higher resolution or quality settings when the design includes small text, dense labels, or multi-panel layouts.

Resolution and cost in QoA

QoA exposes GPT Image 2 with simple resolution choices so you do not need to manage API parameters directly:

• 1K: best for fast ideation, drafts, social posts, and most everyday creative work
• 2K: a good default for polished assets where extra detail matters
• 4K: useful for high-resolution concepts, but large outputs can be more variable and may take longer

Current QoA credit pricing for GPT Image 2 is resolution-based: 1K uses 6 credits, 2K uses 12 credits, and 4K uses 20 credits. The selected cost is shown before you create, so you can adjust the resolution before spending credits.

When to choose GPT Image 2

Choose GPT Image 2 when the image needs to be useful on the first few tries. It is a strong fit for product visuals, ad concepts, thumbnails, website imagery, branded social assets, educational graphics, and realistic edits.

Choose a lighter or cheaper model when you only need rapid exploration and are comfortable with more retries. GPT Image 2 is usually worth the extra budget when the prompt includes strict layout requirements, identity preservation, readable text, reference images, or a production-ready visual target.

Known limitations

GPT Image 2 is much stronger than earlier image models, but it is still not a deterministic design tool. Complex prompts can take longer. Very dense text can still need review. Recurring characters, brand details, and exact object placement may drift across multiple generations. Masked or surgical edits should be checked carefully, especially when the prompt asks for precise layout changes.

The best workflow is iterative: create one strong base image, then make small changes. Keep critical constraints in every follow-up prompt, especially when identity, logo shape, text, or layout must not change.

Start creating

Open the Create workspace and select GPT Image 2. If you already know the workflow, go straight to Text to Image for prompt-based generation or Image to Image for reference-driven edits.

Sources: OpenAI GPT Image 2 model overview, OpenAI image generation guide, and OpenAI GPT Image prompting guide.