Question 1

What can I make with GPT Image 2?

Accepted Answer

Anything that begins with a prompt and ends in a polished image. Generate photoreal portraits and product shots. Mock up an interface, a poster, or a magazine spread with readable headlines. Build advertising creative with consistent characters across a campaign. Produce infographics, comic panels, cinematic stills, and 360-degree panoramas. The model holds composition, light, and small details together at a level usable for client work.

Question 2

Why do GPT Image 2 results look more realistic than older AI image models?

Accepted Answer

OpenAI rebuilt the model from the ground up for photographic realism, prompt adherence, and text rendering. Skin, fabric, light, and shadow read as photographs rather than as renders. Reflections behave correctly. Faces hold proportion across angles and outfits. Backgrounds stay coherent instead of melting into AI texture. The result is an image that often ships without a second pass in Photoshop.

Question 3

Can GPT Image 2 generate readable text inside images?

Accepted Answer

Yes. Text rendering is the model's standout strength. Headlines, button labels, menu items, magazine spreads, restaurant signage, and storefront names render legibly and in the right typography. The cleanest results come from quoting the exact text in the prompt and naming the surface, such as a poster, an app screen, or a newspaper front page. Long paragraphs can still break down at small sizes, so keep critical text large and the prompt specific.

Question 4

Can I edit an existing photo with GPT Image 2?

Accepted Answer

This page runs GPT Image 2 in text-to-image mode. For editing an existing photo with a reference and a prompt, switch to the OpenAI Image Edit model on Visual Sandbox. Same underlying engine, with reference images attached. You can swap a backdrop, change clothing, restyle a scene, or extend a composition. Both surfaces share the same prompt and pricing model, so switching mid-project is one click.

Question 5

What sizes and aspect ratios does GPT Image 2 support?

Accepted Answer

Square, portrait, landscape, and wide cinematic ratios. Common picks include 1:1 for social and app icons, 16:9 for hero banners and video thumbnails, 9:16 for stories and reels, 4:3 for print and magazine spreads, 3:2 for camera-style landscapes, and 21:9 for cinematic stills. Visual Sandbox exposes every supported ratio in the composer, so you can match the shape to the canvas you are designing for, without coaxing the ratio with prompt tricks.

Question 6

What do the low, medium, and high quality settings change?

Accepted Answer

Quality controls how much compute the model spends per image. Low is the fastest and cheapest, useful for early iteration and rough drafts. Medium balances speed and detail for most working shots. High applies the most refinement and produces the cleanest skin, text, and fine geometry, at a higher cost per image. Visual Sandbox shows the cost for the chosen quality before you generate.

Question 7

How do I write prompts that work well with GPT Image 2?

Accepted Answer

Be specific about the subject, the composition, the lighting, and the camera. Describe the frame, the angle, and the lens. Quote any text that should appear on screen exactly. Name the surface (poster, magazine spread, app screen, storefront sign) so the model picks the right typography. Short prompts work for simple ideas. For ad creative, photoreal portraits, and UI mockups, longer prompts with structured detail produce the most consistent results.

Question 8

How much does a GPT Image 2 image cost?

Accepted Answer

Pricing varies by aspect ratio and quality. As a rough guide for a square image: about a cent at low, around seven cents at medium, and around twenty-six cents at high. Larger non-square sizes can run a little more. Visual Sandbox shows the exact cost before you generate and charges per image when the result is delivered. There is no subscription, no monthly minimum, no top-up. You only pay for the images you generate.

Question 9

Does GPT Image 2 add a watermark to images?

Accepted Answer

OpenAI tags every generated image with C2PA metadata, an industry-standard provenance signal that identifies the image as AI-generated. There is no visible logo, stamp, or pixel watermark on the image itself. The C2PA tag is detectable by tools that read provenance metadata, and is preserved as long as the file's metadata is not stripped during export.

Question 10

Can I use GPT Image 2 images commercially?

Accepted Answer

Yes. OpenAI's terms allow commercial use of generated images. You are responsible for the prompt and the final use, especially when the output includes likenesses, logos, or copyrighted material. The model is widely used for advertising creative, product photography, posters, and client work on Visual Sandbox.

Tier	Price
Low quality	$0.01 / image
Medium quality	$0.07 / image
High quality	$0.26 / image

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