GPT Image 2 Blog
Field notes from the GPT Image 2 community — consistency, commercial use, multi-image workflows, and the prompt techniques that actually move results.
GPT Image 2 for E-commerce: Product Shots, Lifestyle Scenes & Hero KVs
A practical GPT Image 2 workflow for e-commerce visuals — packshots, lifestyle scenes and hero KVs — with copy-paste prompt templates for backgrounds, lighting, materials and locked-in headline text.
Read article →GPT Image 2 for Marketing Posters & Banners: Headlines, Layout & CTAs
Use GPT Image 2's accurate text rendering to design marketing posters and ad banners — the quote rule for locking copy, naming headline/subhead/CTA blocks, layout and negative space, plus three copy-paste templates.
Read article →Directing GPT Image 2 Portraits: Lenses, Lighting & the Anti-AI-Face Playbook
Prompt GPT Image 2 like a portrait photographer — layered briefs, lens and lighting language (85mm, Rembrandt, rim light, catchlights), and the anti-AI-face playbook for real skin, with three copy-paste templates.
Read article →The MS Paint Doodle Trend: Make GPT Image 2 Draw Badly
The MS Paint doodle trend explained: exact prompts to make GPT Image 2 redraw photos as crude mouse-drawn scribbles, plus claymation and pet-to-human.
Read article →GPT Image 2 Thinking Mode: Reasoning + Web Search Guide
How to trigger GPT Image 2 Thinking Mode, which prompts benefit from reasoning, and how web-search-grounded generation works — with copy-paste examples.
Read article →Infographics, Slides & QR Codes: GPT Image 2 Text Workflow
GPT Image 2 renders ~99% accurate multilingual text — here's the workflow for infographics, slides and scannable QR codes, plus the data-fabrication trap.
Read article →DALL-E Is Retired: How to Migrate to GPT Image 2
DALL-E is retired from the OpenAI API. How to migrate to GPT Image 2: model choice, token billing, aspect ratios, and the much stronger edit endpoint.
Read article →15 Viral GPT Image 2 Prompts (With Real Examples, 2026)
The 15 most viral GPT Image 2 prompts of 2026, with real examples you can open and copy: ad posters, e-commerce hero shots, portraits, and text-rendering tests.
Read article →GPT Image 2 vs Nano Banana: Which AI Image Model Wins in 2026?
GPT Image 2 vs Nano Banana for 2026. Nano Banana is Google's Gemini image stack; GPT Image 2 is OpenAI's. Who wins on text, editing, references and price?
Read article →GPT Image 2 API Pricing Explained (2026)
How GPT Image 2 API pricing works in 2026: the token model, real per-image costs by quality and resolution, and how it compares to DALL-E 3 and credit plans.
Read article →GPT Image 2 Limitations: What It Can't Do (and How to Work Around It)
An honest rundown of GPT Image 2's real limits — no transparent background, 4K only on wide/tall ratios, text typos, character drift — and a fix for each.
Read article →How to Get the Midjourney Look in GPT Image 2
Midjourney's painterly, dramatic, hyper-stylized look is a set of describable traits. Here's how to reproduce it in GPT Image 2 using prompts, not --stylize.
Read article →Storyboards, Grids & Multi-Panel Generation in GPT Image 2
Turning one image into a 3×3 storyboard or a multi-panel grid in a single prompt is GPT Image 2's most underused trick. Reference anchoring, panel-count and layout control, product-ad storyboards, and cross-panel consistency — with copy-paste prompts.
Read article →One Reference, Many Layouts: Template Workflows in GPT Image 2
Feed GPT Image 2 one reference image and stamp out calendars, character cards, product spec sheets, and social kits. "One image, many layouts" is a high-reuse workflow — the template mindset, per-layout prompts, and what breaks them.
Read article →Art-Style & Editorial Prompting for GPT Image 2
Watercolor travel journal, Y2K collage, cinematic, editorial magazine — style isn't a word, it's a stack of medium, light/color, composition, and era. How to decompose an aesthetic into a controllable prompt stack, with a reusable style template.
Read article →Can You Use GPT Image 2 Images Commercially? Licensing, Copyright & Risk
A practical guide to using GPT Image 2 output for products, ads, and print-on-demand: who owns the image, what's actually risky (trademarks, likenesses, copyrighted characters), platform-specific AI policies, and a pre-publish checklist.
Read article →Multi-Image Fusion & Reference Workflows in GPT Image 2
GPT Image 2 reference images do more than image-to-image. Learn the four reference modes — subject preservation, style transfer, scene composition, product placement — plus a real e-commerce workflow that turns one product photo into a full ad storyboard.
Read article →How to Keep Characters & Products Consistent Across GPT Image 2 Images
Every GPT Image 2 generation samples independently, so the same character drifts between images. Here are the four techniques that actually lock identity: reference images, identity anchors, character sheets, and iterative refinement — with copy-paste prompts.
Read article →