GPT Image 2 in Inliner Studio

GPT Image 2 is available directly inside Inliner Studio. If you need strong prompt adherence, better text rendering, packaging mockups, UI-heavy visuals, or precise edits from reference images, this is the model to reach for.

Creative team collaborating around laptops, moodboards, and color swatches in a bright modern design studio

This banner is generated by Inliner with an explicit model override: ?model=IMAGE_GEN_GPT_IMAGE_2.

OpenAI + Inliner

OpenAI describes gpt-image-2 as its state-of-the-art image generation model for fast, high-quality generation and editing, with text and image inputs plus both generation and edit endpoints. Inliner exposes that capability as GPT Image 2 in the Studio model picker.

Inside Inliner, GPT Image 2 is the explicit choice when you care more about instruction following and layout fidelity than pure speed or lowest-cost generation.

OpenAI model page · OpenAI image generation guide

Picker label

In Studio, select GPT Image 2 from the Model dropdown.

Internal value

Inliner maps that picker option to IMAGE_GEN_GPT_IMAGE_2.

OpenAI model

The backend uses the OpenAI model identifier gpt-image-2.

Studio defaults

Supported sizes are 1024x1024, 1536x1024, and 1024x1536 with low, medium, or high quality.

What GPT Image 2 is good at

These examples use the same pattern you can use anywhere in Inliner: a normal image URL with an explicit ?model=IMAGE_GEN_GPT_IMAGE_2 override.

Luxury skincare product packaging concept with readable label design

Packaging and label concepts

Use GPT Image 2 when the mockup needs readable text, hierarchy, and packaging layout that stays close to the brief.

https://img.inliner.ai/inliner-landing/luxury-skincare-product-box-and-bottle-on-clean-pedestal-with-readable-label-design-soft-studio-light_1200x675.png?model=IMAGE_GEN_GPT_IMAGE_2

SaaS dashboard hero concept with structured UI and headline area

UI-heavy hero concepts

It works well for landing-page visuals where interface framing, chart layout, and product-marketing composition matter more than painterly style.

https://img.inliner.ai/inliner-landing/saas-dashboard-hero-with-analytics-panels-clear-ui-structure-and-marketing-headline-modern-blue-layout_1200x675.png?model=IMAGE_GEN_GPT_IMAGE_2

Conference promo poster with strong editorial layout and text blocks

Poster and campaign creative

For ad comps, posters, and social promo layouts, GPT Image 2 is the better fit when you need headline placement and clearer structural rhythm.

https://img.inliner.ai/inliner-landing/conference-promo-poster-with-bold-event-title-speaker-blocks-and-geometric-editorial-layout_1200x675.png?model=IMAGE_GEN_GPT_IMAGE_2

Coffee bag rebrand concept with multiple packaging variants and typography

Structured product variants

It is also a strong choice for concepting variant systems: multiple SKUs, typography zones, colorway changes, and front-of-pack consistency.

https://img.inliner.ai/inliner-landing/premium-coffee-bag-rebrand-on-tabletop-with-multiple-variant-stickers-and-front-of-pack-typography_1200x675.png?model=IMAGE_GEN_GPT_IMAGE_2

When Inliner uses GPT Image 2

Inliner’s model-selection logic explicitly prefers GPT Image 2 for prompts that need precise text, dense layouts, packaging, product imagery, or strong instruction following. When reference images are attached, Inliner still defaults to Nano Banana 2 for identity preservation, but it switches to GPT Image 2 when the job is more about exact text and composition than subject continuity.

Marketing graphics with readable text or headlines inside the image
Product packaging, labels, and visual merchandising concepts
UI mockups, infographics, and layout-sensitive scenes
Reference-aware edits where instruction fidelity matters more than speed
Detailed product shots that need strict prompt adherence

If you leave the model on Auto, Inliner will still choose something else for different jobs. Standard photoreal prompts usually bias toward Imagen 4, arbitrary dimensions bias toward Flux 2 Pro, and reference-first workflows usually bias toward Nano Banana 2.

How to select GPT Image 2 from the model picker

Open Studio

Go to Inliner Studio and start a new generation or edit flow.

Find Model

In the main controls row, open the Model dropdown. The default value is Auto.

Select GPT Image 2

Choose GPT Image 2. Inliner will send the request with the model override instead of relying on Auto selection.

Generate or edit

Run the prompt normally. If you add reference images, Inliner uses the OpenAI edit path for GPT Image 2 instead of a plain generate request.

What happens under the hood

Inliner uses OpenAI’s image generation and image edit endpoints for GPT Image 2. For plain prompts, it sends a generation request. When you attach reference images and still force GPT Image 2, it prepares those references and uses the edit endpoint instead.

Studio model picker → GPT Image 2
Internal feature code → IMAGE_GEN_GPT_IMAGE_2
Backend provider model → gpt-image-2

Common output controls in Inliner:
- Sizes: 1024x1024, 1536x1024, 1024x1536
- Quality: low, medium, high
- Formats: png, jpeg, webp
- Transparent background: png workflows only

When to force it instead of leaving Auto

Use the explicit picker selection when you do not want the system to optimize for a different tradeoff. That usually means:

You need reliable text in the generated image
You are mocking up packaging or layouts where spacing matters
You want OpenAI-based editing with reference images
You are comparing model outputs and need deterministic model choice

Ready to try it? Open Studio, switch the model to GPT Image 2, and run a text-heavy prompt or packaging concept.