GPT Image 2: Complete Guide

June 3, 2026

GPT Image 2: Complete Guide

WHAT IS GPT IMAGE 2?

OpenAI's second-generation image model, successor to GPT Image 1.5 (Dec 2025) and gpt-image-1 (Apr 2025). It's the first image model with ‘integrated O-series reasoning’ — it plans, researches, and reasons about the image structure *before* generating. This makes it dramatically better at complex compositions, layered prompts, and multi-element scenes compared to keyword-matching models.

Key Specs

Aspect Ratios:

3:1, 21:9, 16:9, 4:3, 3:2, 1:1, 2:3, 3:4, 9:16, 1:3

Resolution:

1K
2K (default)
4K

Quality:

low (fast)
medium (balanced)
high (best)

Output Format:

PNG (lossless)
JPEG
WebP

Max Prompt Length:

7,000 characters

References:

Up to 4 input images

Transparency:

❌ NOT supported (use GPT Image 1.5 for transparent backgrounds)

Cost Tip:
Default to 1K/medium for iteration. Only go 2K+ or high quality for final output.

CORE STRENGTHS

  • Agentic Reasoning — Proactively plans image structure before drawing. Complex scenes get composed correctly on the first try.
  • Text Rendering — 95%+ accuracy across Latin, CJK, Arabic, Hindi, Bengali scripts. Best-in-class for in-image typography.
  • Native 2K Resolution — Double the output of GPT Image 1.5, with optional 4K upscaling.
  • Multi-Reference Compositing — Up to 4 input images for style transfer, virtual try-on, character consistency.
  • High-Fidelity Photorealism — Natural lighting, skin texture, material accuracy.
  • World Knowledge — Can render real-world landmarks, species, cultural references accurately.
  • Complex Structured Visuals — Infographics, diagrams, UI mockups, data visualizations.

KNOWN WEAKNESSES & LIMITATIONS

  • ❌ No transparency support — Use GPT Image 1.5 if you need RGBA/transparent backgrounds
  • ⚠️ Brand logos are hit-or-miss — Fine detail consistency on existing brand marks is unreliable
  • ⚠️ Slow and resource-intensive — High quality at 4K can take 3+ minutes
  • ⚠️ Expensive at high quality — Most expensive image model option in Luma
  • ⚠️ Quality degrades in edit chains — Use upscale between successive edits

OPENAI'S OFFICIAL PROMPTING BEST PRACTICES

Source: OpenAI Cookbook, April 21, 2026

Prompt Structure (The Golden Order)

Background/Environment → Subject → Specific Details → Constraints

Always move from **wide context** to **narrow specifics**. This mirrors how the model's reasoning engine parses intent.

The Six Commandments (from OpenAI)

  • Structure prompts consistently — background → subject → details → constraints
  • Be specific about materials and textures — "brushed aluminum" not "shiny metal"
  • Use explicit constraints — state what to preserve AND what to change
  • Put literal text in quotes or ALL CAPS — include typography details (font, size, placement)
  • Iterate with small changes — don't overload a single prompt
  • Reference multi-image inputs by index — "Image 1 (description): use as [role]"

Editing Prompt Style (CRITICAL)

  • Write DIRECT COMMANDS, not descriptions
  • Be TERSE — "Remove background" not "Please remove the background from this image"
  • State WHAT TO CHANGE and WHAT TO KEEP explicitly
  • NO flowery language, no justifications, no explanations

❌ "Transform this beautiful image by artistically changing the background to create a more dramatic atmosphere"

✅ "Change background to sunset beach. Keep subject unchanged."

Multi-Reference Format

Use Image 1 (brief description) as [TYPE] reference.

Use Image 2 (brief description) as [TYPE] reference.

[Action instruction].

Reference types: style reference, character reference, pose reference, composition reference, background reference

Example:
Use Image 1 (man in suit) as character reference. Use Image 2 (neon city) as background/style reference. Place character in scene with cinematic rim lighting.

THE 5-PART PROMPT TEMPLATE

This is the most structured and battle-tested template circulating:

Scene: [where this happens, time of day, background, environment]

Subject: [who or what is the main focus]

Important details: [materials, clothing, texture, lighting, camera angle, lens feel, composition, mood]

Use case: [editorial photo / product mockup / poster / UI screen / infographic / concept frame]

Constraints: [no watermark / no logos / no extra text / preserve specific elements]

When to use line breaks:

- Short prompts (under 2 sentences): write as a single paragraph

- Medium prompts: use the 5-part structure

- Complex prompts: use the 5-part structure with line breaks between sections

ANTI-SLOP RULES (Community-Tested)

The single most impactful insight from community testing: replace vague aesthetic words with visual facts.

❌ Don't Say

✅ Say Instead

"stunning"

"overcast daylight, shallow depth of field"

"epic"

"low-angle shot, wide 24mm lens"

"beautiful lighting"

"golden hour side-lighting, soft shadows"

"high quality"

"8K texture detail, film grain ISO 400"

"professional"

"studio three-point lighting, seamless white backdrop"

"cinematic"

"anamorphic 2.39:1, teal-and-orange grade, lens flare"

"realistic"

"shot on Canon R5, 85mm f/1.4, natural window light"

"vibrant colors"

"saturated Kodak Ektar palette, reds at +20"

**The model's reasoning engine responds to concrete visual parameters, not vibes.**

PROVEN USE CASES & PROMPT EXAMPLES

Photorealistic Portraits

Scene: Rooftop café in Lisbon at golden hour, wrought-iron railing, terracotta roofs in background

Subject: Woman in her 30s, dark curly hair, linen blazer, looking slightly off-camera

Important details: Shot on 85mm f/1.4, shallow depth of field, warm side-lighting, skin texture visible, editorial fashion tone

Use case: Magazine cover portrait

Constraints: No visible branding, no AI artifacts on hands

Product Photography

Scene: Matte black surface with soft gradient to charcoal, single overhead softbox

Subject: Glass perfume bottle with gold cap, label reading "AURELIA" in serif font

Important details: Caustic light reflections in glass, crisp label typography, subtle shadow underneath, product hero shot composition

Use case: E-commerce product listing

Constraints: No background elements, text must be perfectly legible

Infographics & Data Visuals

A clean infographic titled "The Coffee Supply Chain" showing four stages: Harvest → Processing → Roasting → Retail. Each stage is a horizontal panel with an icon, 2-line description, and connecting arrows. Color palette: warm browns and cream. Sans-serif typography. Professional business presentation style.

Logo Generation

A minimal geometric logo for a fintech startup called "KOVE". Bold angular letterforms, single color (deep navy #1B2A4A), works at 32px favicon and 1200px hero. No gradients, no illustration, pure typography mark.

UI Mockups

An iPhone 15 Pro screen showing a farmers market delivery app. Top: search bar and location pin "Brooklyn, NY". Below: horizontal scroll of category pills (Vegetables, Fruits, Dairy, Bakery). Main content: 2-column grid of product cards with photos, names, prices, and "Add" buttons. Bottom nav: Home, Search, Cart (badge "3"), Profile. Clean iOS design, SF Pro font.

Comic Strips & Narrative Panels

A 4-panel horizontal comic strip. Panel 1: A robot sitting at a desk looking overwhelmed by paperwork. Panel 2: The robot discovers a glowing AI assistant floating above the desk. Panel 3: Papers fly into organized stacks automatically. Panel 4: Robot leaning back with a coffee cup, papers all sorted. Style: Clean-line illustration, muted pastel colors, speech bubbles with sans-serif text.

Style Transfer (Edit Mode)

Use Image 1 (watercolor painting of countryside) as style reference.

Apply the watercolor wash technique, loose brushstrokes, and muted palette to Image 2 (photo of a city skyline).

Keep the city architecture and composition intact.

Virtual Try-On (Edit Mode)

Use Image 1 (woman in museum) as character reference.

Use Image 2 (leather jacket) and Image 3 (boots) as clothing references.

Dress the woman in the jacket and boots, keeping her face, hair, pose, and museum background unchanged.

ADVANCED TIPS & TRICKS

Text-in-Image Mastery

  • Always put the exact text in "quotes" or ALL CAPS in your prompt
  • Specify font style: "bold sans-serif", "thin serif italic", "hand-lettered script"
  • Specify placement: "centered top third", "bottom-left corner"
  • Specify size: "large headline", "small caption", "fills the frame"
  • For multi-language: the model handles CJK, Arabic, Hindi natively — just write the text

Iteration Strategy

  • Start at low quality for concept exploration (42s, cheapest)
  • Iterate prompt wording 3-5 times at low quality
  • Once composition is right, re-run at medium or high for final output
  • For edit chains: upscale between edits to prevent quality degradation

Aspect Ratio Strategy

  • 16:9 / 3:2 — Hero images, landscapes, presentations, social media covers
  • 1:1 — Product shots, profile images, Instagram posts
  • 9:16 / 2:3 — Stories, mobile-first content, Pinterest
  • 21:9 / 3:1 — Cinematic panoramas, website banners
  • 1:3 — Ultra-tall infographics, vertical scrolling content

Controlling Photorealism

  • Name a specific camera + lens: "Canon EOS R5, 35mm f/1.4"
  • Name a film stock: "Kodak Portra 400", "Fuji Velvia 100"
  • Specify depth of field explicitly: "f/1.4 shallow DOF, background bokeh"
  • Add environmental cues: "humidity haze", "dust particles in light beam"

To pull AWAY from photorealism:

  • Name a specific art medium: "gouache illustration", "risograph print", "cel-shaded 3D render"
  • Reference an artist or style movement: "in the style of Edward Hopper", "Bauhaus poster design"

The "Preserve" Technique for Edits

When editing, always explicitly list what should NOT change:

Change: background to tropical beach at sunset

Keep: subject's face, expression, pose, clothing, lighting direction on subject

GPT IMAGE 2 vs GPT IMAGE 1.5 — WHEN TO USE WHICH

Need

Use GPT Image 2

Use GPT Image 1.5

General image generation

✅ Default choice

⬜ Legacy

Complex multi-reference

✅ Better fidelity

⬜

Transparent backgrounds

❌ Not supported

✅ Only option

Text rendering

✅ Superior

⬜ Good

Cost-sensitive (high quality)

⬜ More expensive

✅ Cheaper

Reproducing existing 1.5 output

⬜

✅ Consistency