Everything you need to ship pixel-perfect text with GPT Image 2.
10 guides covering GPT Image 2 end to end. Glyph accuracy, neutral color, 2048px ceiling. Real numbers, real code, real pipelines.
Three to read first.
The posts we point people at when they ask where to start with GPT Image 2.
Text Rendering That Holds Up: Glyphs, UI, and CJK Scripts
A working theory of why text is hard for diffusion models, what the leaked GPT Image 2 benchmarks actually mean, and how to prompt for text today on GPT Image 1.5 so your pipeline survives the upgrade.
GPT Image 2 vs Flux 2 Pro vs Imagen 4: When Each One Wins
The Three Quality Tiers: Low, Medium, High, and When Each Pays Off
Every topic we cover.
8 categories, 10 posts. Each tile opens one thread of GPT Image 2 coverage.
Comparison
2 guides · updated this month
- GPT Image 2 vs GPT Image 1.5: What Actually Changed
- GPT Image 2 vs Flux 2 Pro vs Imagen 4: When Each One Wins
Technique
2 guides · updated this month
- Text Rendering That Holds Up: Glyphs, UI, and CJK Scripts
- Neutral Color: Removing the Yellow Cast from Every Render
Optimization
- The Three Quality Tiers: Low, Medium, High, and When Each Pays Off
Use Case
- Generating UI Screenshots and Product Labels
Prompting
- Prompt Patterns for 2048px Output
Workflow
- Migrating from DALL-E 3 to GPT Image 2 Before May 12
Troubleshooting
- Debugging Output: Why Your Text Still Fails
Integration
- Integrating GPT Image 2 into a Headless CMS Pipeline
More on Comparison.
The category with the most coverage. 2 posts in this thread.
Latest posts.
Generating UI Screenshots and Product Labels
Two concrete recipes: a SaaS dashboard screenshot and a beverage can label. Both produce legible, accurate text if you specify the right details.
Prompt Patterns for 2048px Output
At 2048px, prompts that worked fine at 1024 start to break. Three patterns that hold up, plus a worked example that actually tests the resolution limit.
Migrating from DALL-E 3 to GPT Image 2 Before May 12
OpenAI's May 12, 2026 shutdown of DALL-E 3 is less than a month away. Every stored prompt you built against DALL-E 3 needs to work against its successor before the API returns 410 on every call.
Neutral Color: Removing the Yellow Cast from Every Render
Today's flagship text-to-image models ship with a warm-yellow tint baked in. Here is the prompt hygiene that gets you to neutral on GPT Image 1.5 and Flux while you wait for GPT Image 2.
Debugging Output: Why Your Text Still Fails
In-image text rendering is the feature that sold GPT Image 1.5. It is also the feature that produces the most Slack screenshots captioned "why is it doing this." Even on the current flagship at $0.005 to $0.20 per image, expect a 5 to 10 percent failure rate on text-heavy prompts.
Integrating GPT Image 2 into a Headless CMS Pipeline
If you run a headless CMS, you know the painful version of image generation: editors click a button, wait 40 seconds, and the page goes white when the upstream URL expires three hours later. This post shows the minimum production setup to avoid both.
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GPT Image 2 vs GPT Image 1.5: What Actually Changed
Nine months after GPT Image 1.5, the follow-up shows up on LM Arena under a tape-themed codename. Here is what is different, what is the same, and what you can reason about today versus what is still rumor.