GPT Image 2 Complete Guide

Updated: 2026-08-21. Model IDs, size tiers, quality options, and billing follow ChatGPT and OpenAI Platform image docs for that day.

Introduction

GPT Image 2 remains one of OpenAI’s widely used flagship image tiers. The common API id is gpt-image-2 (verify in docs that day; ChatGPT UI may show Images-related names). Versus previous GPT Image 1.5 (gpt-image-1.5), it usually follows instructions better, edits more precisely, and handles on-image text more reliably. If you need the Images 2.5 release from 2026-09 (product name ChatGPT Images 2.5; API Flare / Sunburst), read the GPT Image 2.5: Flare / Sunburst Selection & Hands-On. This article focuses on shipping stable frames on Image 2.

What this guide solves

• Flagship positioning for GPT Image 2—and when staying on 1.5 still makes sense
• A reproducible workflow: composition first → local edits → then size/quality
• Higher success on short on-image titles, plus how to think about resolution and quality
• A checklist that catches common ship-day failures

Flagship positioning

Treat GPT Image 2 as the default finalizing tier: article heroes, marketing key art, multi-round product polish, jobs that need stronger text rendering or reference constraints. Quality and edit control sit in the daily delivery sweet spot. Versus 1.5, it fits serious workflows that state constraints once and change one thing per round.

Product name, ChatGPT UI label, and API model ID may not match character-for-character. In team docs log: entry URL + UI label + docs model ID + date. Family context: What is GPT Image?.

Versus GPT Image 1.5: how to choose

Dimension	GPT Image 1.5	GPT Image 2 (this guide)
Role	Previous usable tier / compatibility & A-B	Current flagship workhorse
Common ID clue	gpt-image-1.5	gpt-image-2
Instructions & edits	Already strong	Usually steadier for complex multi-round work
On-image text	Usable; still final-check	Usually better for short title-level rendering
Size / quality	Docs that day	Docs that day; prefer using available tiers on 2
Recommended use	Locked pipelines, visual A-B, cost-sensitive drafts	Daily finals and external delivery

Quick decisions:

1. New projects, external key art, text or strong edits → use 2.
2. Pipelines pinned to gpt-image-1.5, or you need visual parity with historical batches → keep 1.5 briefly and plan migration—see GPT Image 1.5 selection.
3. Unsure of the UI name → open the model picker or Platform docs and verify today’s ID; do not invent contract language from memory.

Generate + edit workflow (reproducible)

Goal: not a novel-length prompt—validate one thing per round.

Step 0: Write the acceptance brief (before prompting)

In notes, four lines before chat or API:

1. Use: hero / poster key art / ecommerce main / slide illustration
2. Canvas: aspect or target size tier (e.g. 16:9), title margin if needed
3. Subject and count: how many objects, facing, faces visible or not
4. Bans: no watermark, no garbled text, no extra limbs, no unauthorized brands

Round 1: Composition only

Prompt order: use → subject → framing/lens → light & color → material/style → on-image text (optional later) → bans. Keep style adjectives light.

Use: 16:9 blog hero with right-side margin for a title.
Subject: one matte ceramic desktop speaker, centered slightly left.
Lens: eye level, ~50mm, soft background blur.
Light: window soft light; cool gray and warm wood.
Style: clean product photography—no illustration look.
Ban: watermarks, frames, extra cables, warped buttons, any on-image text.

Accept only: correct subject, correct aspect, enough margin, no broken structure. Wrong composition → full redraw, do not stack local edits on a bad frame.

Round 2: Change one variable

State what stays fixed, then the change:

Keep the same lens, subject pose, palette, and background.
Do only one thing: change the speaker surface from matte ceramic to brushed aluminum.
Do not change composition; do not add text or logos.

GPT Image 2’s edge is steadier constraint following. Changing light, material, text, and background in one round makes failures undiagnosable and wastes quota.

Round 3: Add references (when consistency matters)

Upload one or more licensed references and say what each controls:

Image 1: product geometry and button layout (must match).
Image 2: brand primary colors (palette only—do not copy packaging copy).
Generate: same product on a dark desk, 16:9, still no on-image text.

Do not request living artists’ unique styles, and do not upload unauthorized assets. Product shots must be checked against source files for logos and structure.

Round 4: Size / quality and final check

After composition and detail pass, pick target size and quality from UI or API options that day. Raising quality or resolution does not fix bad composition or typos—it only makes them louder.

Zero-to-first flow: Getting started. Prompt craft: prompt playbook.

On-image text: raise the hit rate

GPT Image 2 is usually stronger than 1.5 on text—but it is not a print layout engine.

1. Keep copy short: title-length lines; do not expect legal microcopy, QR codes, or dense tables in one perfect pass.
2. Quote exact text and state language/case: White sans-serif title top-right: "GPT Image 2".
3. Generate without text, then typeset when spelling is zero-tolerance, multilingual, or brand VI is strict—this is the stabler delivery path.
4. Edit text in its own round: Keep composition and subject; only change the title to: "…". Do not casually rewrite the background.
5. Final check character-by-character against source copy; mixed scripts, numbers, and trademark symbols fail most often.

Size and quality settings

No frozen pixel tables or enums—OpenAI adjusts available sizes and quality tiers. Follow Platform and the live ChatGPT UI.

Practical rules:

• Lock aspect/use first, then size tier; put aspect at the top of the prompt.
• Draft on lower quality or smaller size; raise for finals; price and quota follow that day’s metering.
• Before delivery, inspect thumbnail and full size. Size options and quality names follow UI and docs that day.
• In API automation, log model, size, quality, and a prompt summary for reproduction and billing.

Done checklist

• Entry and model identity logged (UI name / docs ID / date); confirmed GPT Image 2 (gpt-image-2), not 1.5
• Aspect matches use; title/crop safe margins are enough
• Subject count, hands/edges, reflections, and shadows have no obvious collapse
• Multi-round edits changed one variable each time, with “keep unchanged” stated
• Reference roles documented; usage rights recorded
• On-image text proofed character-by-character, or switched to “blank plate + later typeset”
• No surprise logos, watermarks, signatures, or unauthorized brands
• Final check at target size and selected quality; thumbnail and full res both reviewed
• No hard-coded prices, quotas, model IDs, or size/quality enums in external promises (docs that day)

Fast path

• China convenience (third-party): GPT Image 2
• Text-to-image studio: Text-to-image studio
• Official ChatGPT: chatgpt.com
• OpenAI Platform: platform.openai.com

Third-party entry ≠ OpenAI account system; read privacy and data terms before uploading commercial assets. China details: China access guide.

FAQ

Is GPT Image 2 the same as “images” inside ChatGPT?

ChatGPT image features are usually driven by the current default image model; product labels may say Images / GPT Image, etc. Trust the models selectable under your account and the Platform docs notes for gpt-image-2, and log the check date.

When must I stay on 1.5 instead of jumping to 2?

When pipelines, snapshots, or compliance pin an old model ID, or you need pixel-level parity with historical batches. New delivery defaults to 2; migration steps: 1.5 selection.

Can one round demand “max quality + perfect text + every reference matched”?

Not recommended. Split composition → reference constraints → text → size/quality so failures are local and quota lasts longer. If multi-round drift gets worse, branch from the last good composition or start a new chat with that frame as reference.

What are the prices and rate limits?

No hard-coded unit prices or quotas here. See platform.openai.com and your account pages that day.

Official resources

• ChatGPT
• OpenAI Platform
• OpenAI.com

Further reading

• GPT Image 2.5: Flare / Sunburst Selection & Hands-On (Images 2.5 · Flare / Sunburst)
• GPT Image guides hub
• What is GPT Image? Family explainer
• GPT Image 1.5 selection & migrate
• Getting started: first image
• GPT Image prompt playbook

Summary

GPT Image 2 is the flagship default for daily imaging: versus 1.5 it fits finals, edits, and short titles better; size and quality follow docs that day—do not freeze them. Drive prompts from an acceptance brief, lock composition before single-point edits, typeset critical text later when you can, and run the checklist before delivery.