GPT Image 2: prepare inputs, choose a mode, and check your first image
Prepare a GPT Image 2 trial using current mode requirements, verify text and reference details, and revise one factor at a time without speed or accuracy guarantees.
This guide uses the on-site GPT Image 2 product entry to explain preparation, output checks, and iteration. Its current display name is GPT Image 2 while the legacy URL remains. It does not promise fixed speed, batch size, text accuracy, reference fidelity, or commercial suitability.
Four steps for a first image and review
Step 1: prepare the brief and material
Specify purpose, subject, composition, lighting, and exact copy. List shapes, colors, and marks that must remain separately. References must meet the current form requirements. Inspect text and logos directly rather than assuming accuracy from the model name.
Step 2: check the current mode
The current catalog lists text-to-image, image-to-image, and reference-to-image with prompt, image_urls, size, quality, and resolution fields. Required inputs, choices, and cost follow the actual mode form. A field does not prove arbitrary inputs are accepted or a separate local editing tool exists.
Step 3: submit a bounded trial
Check name, mode, cost, and required fields before submission. Record the prompt and actual settings. Written size, count, and sharpness requests do not replace form choices.
Step 4: inspect and revise one factor
| Check | Inspection |
|---|---|
| Subject | Shape, count, edges, and proportions against the brief |
| Composition | Empty space, safe zones, and subject position |
| Text | Every character, punctuation mark, and readability against the original |
| Reference consistency | Compare required details with the input image |
| Effort | Actual cost, waiting time, retries, and manual editing |
Identify the error most relevant to delivery, then change one main factor. Keep useful versions with their settings before expanding the trial.
Original prompt example
This is an intended result, not an accuracy guarantee.
Landscape brand poster, headline “New Arrival”, deep-blue gradient background, centered headphones, clean whitespace, sharp typography
Compare alternatives
Use the same brief, exact copy, and necessary references when comparing Midjourney Image, GPT Image, or Nano Banana. Align settings where possible and record differences. Do not assume a model is always faster, better at Chinese text, or more consistent with characters. Judge your material against the checklist. The fixed legacy Claude entry currently maps to Sonnet 5; consult current product names for Veo and Kling links.
Common issues
- Incorrect text: retain exact copy and inspect every character; use separate layout tools when necessary.
- Reference drift: identify details to preserve, check the mode and input requirements, then change one factor.
- Missing count or parameter: follow the form instead of inferring support from a prompt or older tutorial.
- Unclear comparison after retries: record prompts, modes, settings, and failures rather than changing many factors together.