ReleasedMarch 2025

GPT-4o Image Generator

GPT-4o is OpenAI's multimodal model for image generation and editing. It stands out when the image needs readable text, detailed layout instructions, or several reference images; on this page, you can use it for text-to-image and reference-based editing with up to five images.

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How to use GPT-4o

Use GPT-4o here for text-to-image and reference-based image editing

Start with a detailed prompt, add up to five reference images when needed, and refine the result through follow-up instructions on the same page.

Write the image brief like a layout request

Describe the subject, composition, materials, lighting, and any exact text that must appear in the image.

Upload references when the model should follow them

Add up to five images when you want GPT-4o to follow an existing product, palette, environment, or visual direction.

Refine with follow-up instructions

Tighten the prompt, ask for layout changes, or clarify what should stay fixed until the image reads correctly.

Core strengths of GPT-4o

What stands out about GPT-4o as a hosted image model

GPT-4o stands out when the image needs to follow a long brief, keep text readable, or combine several references in one hosted flow.

Readable text and layout control

OpenAI highlights text rendering as a core strength, which makes GPT-4o more reliable for posters, menus, labels, and annotated assets than many image-only models.

This matters when headline copy and supporting text both need to survive the generation process.

That matters for posters, menus, packaging labels, diagrams, and ad creatives with short copy blocks.

You can write layout hierarchy into the prompt instead of leaving the placement to chance.

Detailed instruction following in one hosted tool

GPT-4o is useful when you need composition, style, callouts, and exact copy to stay in one prompt instead of breaking the task into separate tools.

It handles creative-brief style prompts better than image tools that mainly respond to short keyword strings.

That is useful for ad drafts, explainers, and product concept boards.

It is easier to keep refining the same idea without leaving the same hosted session.

Multiple reference images in one request

OpenAI documents image generation and editing with image inputs, and this page supports up to five references for GPT-4o.

That helps when different images define the product, palette, styling, or spatial direction.

It is more useful than single-reference flows when several inputs all matter at once.

The output can stay closer to the design brief when each reference has a clear role.

Useful for diagrams, explainers, and labeled visuals

GPT-4o is not limited to photoreal ads. It also works well for diagrams, numbered flows, and information graphics where the structure matters as much as the style.

That opens up use cases beyond standard beauty shots or cinematic concept art.

It is a strong option when the image needs to explain a process or compare items clearly.

This matters for onboarding, education, packaging guides, and internal product communication.

Best use cases

Where GPT-4o is most useful

GPT-4o is most useful for text-aware layouts, annotated assets, reference-based edits, and visuals that need a long prompt to stay organized.

Poster and campaign layouts with real copy

Use GPT-4o for launch posters, menus, signage, and announcement creatives when the text itself needs to be part of the image.

Product concept boards and branded ad drafts

Build product boards, labeled mockups, and marketing visuals that combine structure, product detail, and short explanatory text.

Reference-based edits with multiple inputs

Bring in several references when product identity, palette, or design direction should carry through the output or edit.

Instructional graphics and explainers

Create numbered diagrams, short explainers, and annotated visuals when the image has to teach, not just look good.

Prompt patterns and examples

How to write better GPT-4o prompts with real examples

Each card shows a GPT-4o prompt pattern, a real generated result, and the details that make the prompt easier for the model to follow. Focus on structure, exact wording, and what each reference is supposed to control.

Poster with text

Good prompt fit

Best for poster layouts where the headline, subtitle, and event details all need to stay readable.

A launch poster with a bold headline and smaller supporting text laid out in a clean visual hierarchy.

Campaign poster with readable headline text

Prompt formula

[poster subject] + [exact headline text] + [layout hierarchy] + [color direction] + [ad or event context]

View prompt detailsExpand

Full prompt

Design a clean campaign poster for a creative conference. Large headline text: "Design Systems Live". Smaller subheading: "Workflows, prototypes, and launch-day lessons". Add a date line that reads "September 18, 2026". Use a dark graphite background, warm orange accent blocks, modern editorial typography, strong spacing, and a layout that feels like a premium event poster rather than a flyer.

Why it works

GPT-4o handles text and layout instructions better than many general image models, so it is useful when words are part of the composition.

Output goal

A text-aware poster concept for event marketing, landing pages, and social announcement assets.

Tips

Put exact copy in quotation marks when wording matters.
Describe hierarchy separately from style so the model treats the text as structure, not decoration.

Product marketing

Good prompt fit

Best for branded product concepts that need labels, callouts, and structured composition.

A product concept board with a hero product image, material swatches, and short labeled annotations.

Annotated product concept board

Prompt formula

[product] + [board layout] + [callout labels] + [materials / colors] + [presentation style]

View prompt detailsExpand

Full prompt

Create a product concept board for a premium insulated water bottle. Show one large hero bottle in the center, three smaller material swatches on the side, and short callout labels for "powder coat finish", "leak-proof lid", and "vacuum insulation". Use a clean white background, restrained black and stone-gray typography, soft studio shadows, and a presentation style that feels like a design review board.

Why it works

This prompt asks for both product rendering and labeled layout, which plays to GPT-4o's instruction following and text rendering.

Output goal

A structured concept board for product reviews, brand decks, or internal creative direction.

Tips

Name each callout explicitly instead of saying "add some labels".
Use board, sheet, deck, or review layout language when you want a structured composition.

Diagram / explainer

Good prompt fit

Best for explainers that mix illustrations, short text, and numbered steps.

A step-by-step explainer diagram with numbered panels and short labels.

Step-by-step explainer graphic

Prompt formula

[topic] + [number of steps] + [label text] + [diagram style] + [background and colors]

View prompt detailsExpand

Full prompt

Create a step-by-step explainer graphic for brewing pour-over coffee at home. Show four numbered panels with short labels: "1 Grind", "2 Bloom", "3 Pour", "4 Serve". Use simple editorial illustrations, clean icons, a cream background, deep brown text, muted teal accents, and a layout that looks like a magazine explainer rather than a cartoon.

Why it works

GPT-4o is well suited to diagram-like prompts where numbered steps and short labels need to remain understandable.

Output goal

A concise instructional graphic for blogs, onboarding content, or education-driven marketing.

Tips

Keep labels short so the model has a better chance of rendering them cleanly.
State the exact number of panels or steps when the layout matters.

Packaging concept

Good prompt fit

Best for packaging refresh boards that mix product detail, label direction, and short annotations.

A refreshed packaging concept with a modern label system and cleaner product presentation.

Packaging refresh concept board

Prompt formula

[product] + [what should stay] + [new label direction] + [palette] + [board layout]

View prompt detailsExpand

Full prompt

Create a packaging refresh concept board for a premium skincare bottle. Show the bottle front-facing, then a secondary panel with a cleaner updated label direction. Add short labels: "keep bottle shape", "new serif headline", and "sage + cream palette". Use soft studio light, a minimal wellness-brand mood, and a neat art-direction board layout.

Why it works

This prompt asks for a structured board with readable labels and a clear before-versus-after direction, which fits GPT-4o's instruction following.

Output goal

A packaging concept board for product updates, label exploration, or internal creative reviews.

Tips

Name exactly what should stay the same so the board does not drift into a different product.
Add short labels when you want the board to read like a real design review sheet.

When to choose GPT-4o

Choose GPT-4o when readable text and multi-reference editing matter more than open weights

GPT-4o makes sense when the image needs readable copy, multiple references, or several rounds of edits inside a hosted product. It is less about local deployment and more about structured creative work with strong prompt following.

Choose GPT-4o when the brief is detailed and the layout has to survive

Pick GPT-4o when the prompt needs real structure: exact text, annotations, multiple references, or a clear design hierarchy. It is useful when the image has to communicate something specific, not just look good.

Use another model when you care more about open weights or a different default style

Choose Z-Image when open weights and local deployment are part of the decision. Choose Seedream 4 or Flux 2 when you want a different built-in visual style and do not specifically need GPT-4o's text and multi-reference strengths.

FAQs

FAQ

About Kling 4 and our platform

What is GPT-4o image generation?

GPT-4o image generation is OpenAI's image output capability inside GPT-4o. OpenAI positions it as a multimodal model that can generate and edit images while following detailed instructions, rendering readable text, and using conversational context.

What is GPT-4o best for?

GPT-4o works well for text-heavy posters, ad concepts, annotated explainers, product boards, and edits where the prompt needs to keep layout, labels, and hierarchy intact.

Does GPT-4o support image-to-image here?

Yes. On this page, GPT-4o supports both text-to-image and reference-based image editing. You can upload up to five reference images when you want the output to follow an existing product, palette, layout, or mood more closely.

Which aspect ratios does GPT-4o support here?

GPT-4o currently supports 1:1, 2:3, and 3:2 here. That covers square assets, portrait layouts, and standard landscape campaign compositions.

How do I write better prompts for GPT-4o?

Be explicit. Name the subject, say what should be on the canvas, describe layout hierarchy, quote exact text when wording matters, and separate required elements from optional style cues. GPT-4o responds well when the prompt reads like a clear creative brief.

When should I use GPT-4o instead of Z-Image or Seedream 4?

Choose GPT-4o when readable text, multi-image context, and hosted editing matter most. Use Z-Image when open weights and local deployment are part of the decision. Use Seedream 4 when you want a more stylized or cinematic visual default.

Can GPT-4o generate readable text inside images?

Yes. OpenAI explicitly highlights text rendering as one of GPT-4o image generation's strengths, which makes it useful for posters, menus, labels, diagrams, and annotated marketing assets.

Can I use GPT-4o images commercially?

For production work, treat GPT-4o output like any other hosted model output: review it for brand, legal, and policy requirements before publishing. Commercial suitability depends on your use case and the platform terms that apply here.

Still have questions? We're here to help

Join Discord

Related models

Compare GPT-4o with other image models on this site

If GPT-4o is not the right fit for your workflow, compare it with these related model pages to weigh text rendering, editing style, local deployment, and visual direction.

Z-Image Generator

Compare GPT-4o with Z-Image when you want to weigh hosted editing against open weights and local deployment.

Explore model

Seedream 4 Image Generator

Open Seedream 4 when you want a more stylized or cinematic visual default.

Explore model

Flux 2 Image Generator

Explore Flux 2 when you want a different prompt response and another route to polished image outputs.

Explore model

Qwen 2 Image Generator

Compare GPT-4o with Qwen 2 for another hosted image workflow that supports prompt-led generation and reference-based edits.

Explore model

Try GPT-4o here

Open the generator, start with a detailed prompt, and add up to five reference images when the output needs to stay closer to a specific brief.

Open GPT-4o generator

ReleasedMarch 2025

GPT-4o Image Generator

No Preview

How to use GPT-4o

Use GPT-4o here for text-to-image and reference-based image editing

Start with a detailed prompt, add up to five reference images when needed, and refine the result through follow-up instructions on the same page.

Write the image brief like a layout request

Describe the subject, composition, materials, lighting, and any exact text that must appear in the image.

Upload references when the model should follow them

Add up to five images when you want GPT-4o to follow an existing product, palette, environment, or visual direction.

Refine with follow-up instructions

Tighten the prompt, ask for layout changes, or clarify what should stay fixed until the image reads correctly.

Core strengths of GPT-4o

What stands out about GPT-4o as a hosted image model

GPT-4o stands out when the image needs to follow a long brief, keep text readable, or combine several references in one hosted flow.

Readable text and layout control

OpenAI highlights text rendering as a core strength, which makes GPT-4o more reliable for posters, menus, labels, and annotated assets than many image-only models.

This matters when headline copy and supporting text both need to survive the generation process.

That matters for posters, menus, packaging labels, diagrams, and ad creatives with short copy blocks.

You can write layout hierarchy into the prompt instead of leaving the placement to chance.

Detailed instruction following in one hosted tool

GPT-4o is useful when you need composition, style, callouts, and exact copy to stay in one prompt instead of breaking the task into separate tools.

It handles creative-brief style prompts better than image tools that mainly respond to short keyword strings.

That is useful for ad drafts, explainers, and product concept boards.

It is easier to keep refining the same idea without leaving the same hosted session.

Multiple reference images in one request

OpenAI documents image generation and editing with image inputs, and this page supports up to five references for GPT-4o.

That helps when different images define the product, palette, styling, or spatial direction.

It is more useful than single-reference flows when several inputs all matter at once.

The output can stay closer to the design brief when each reference has a clear role.

Useful for diagrams, explainers, and labeled visuals

GPT-4o is not limited to photoreal ads. It also works well for diagrams, numbered flows, and information graphics where the structure matters as much as the style.

That opens up use cases beyond standard beauty shots or cinematic concept art.

It is a strong option when the image needs to explain a process or compare items clearly.

This matters for onboarding, education, packaging guides, and internal product communication.

Best use cases

Where GPT-4o is most useful

GPT-4o is most useful for text-aware layouts, annotated assets, reference-based edits, and visuals that need a long prompt to stay organized.

Poster and campaign layouts with real copy

Use GPT-4o for launch posters, menus, signage, and announcement creatives when the text itself needs to be part of the image.

Product concept boards and branded ad drafts

Build product boards, labeled mockups, and marketing visuals that combine structure, product detail, and short explanatory text.

Reference-based edits with multiple inputs

Bring in several references when product identity, palette, or design direction should carry through the output or edit.

Instructional graphics and explainers

Create numbered diagrams, short explainers, and annotated visuals when the image has to teach, not just look good.

Prompt patterns and examples

How to write better GPT-4o prompts with real examples

Poster with text

Good prompt fit

Best for poster layouts where the headline, subtitle, and event details all need to stay readable.

Campaign poster with readable headline text

Prompt formula

[poster subject] + [exact headline text] + [layout hierarchy] + [color direction] + [ad or event context]

View prompt detailsExpand

Full prompt

Why it works

GPT-4o handles text and layout instructions better than many general image models, so it is useful when words are part of the composition.

Output goal

A text-aware poster concept for event marketing, landing pages, and social announcement assets.

Tips

Put exact copy in quotation marks when wording matters.
Describe hierarchy separately from style so the model treats the text as structure, not decoration.

Product marketing

Good prompt fit

Best for branded product concepts that need labels, callouts, and structured composition.

Annotated product concept board

Prompt formula

[product] + [board layout] + [callout labels] + [materials / colors] + [presentation style]

View prompt detailsExpand

Full prompt

Why it works

This prompt asks for both product rendering and labeled layout, which plays to GPT-4o's instruction following and text rendering.

Output goal

A structured concept board for product reviews, brand decks, or internal creative direction.

Tips

Name each callout explicitly instead of saying "add some labels".
Use board, sheet, deck, or review layout language when you want a structured composition.

Diagram / explainer

Good prompt fit

Best for explainers that mix illustrations, short text, and numbered steps.

Step-by-step explainer graphic

Prompt formula

[topic] + [number of steps] + [label text] + [diagram style] + [background and colors]

View prompt detailsExpand

Full prompt

Why it works

GPT-4o is well suited to diagram-like prompts where numbered steps and short labels need to remain understandable.

Output goal

A concise instructional graphic for blogs, onboarding content, or education-driven marketing.

Tips

Keep labels short so the model has a better chance of rendering them cleanly.
State the exact number of panels or steps when the layout matters.

Packaging concept

Good prompt fit

Best for packaging refresh boards that mix product detail, label direction, and short annotations.

Packaging refresh concept board

Prompt formula

[product] + [what should stay] + [new label direction] + [palette] + [board layout]

View prompt detailsExpand

Full prompt

Why it works

This prompt asks for a structured board with readable labels and a clear before-versus-after direction, which fits GPT-4o's instruction following.

Output goal

A packaging concept board for product updates, label exploration, or internal creative reviews.

Tips

Name exactly what should stay the same so the board does not drift into a different product.
Add short labels when you want the board to read like a real design review sheet.

When to choose GPT-4o

Choose GPT-4o when readable text and multi-reference editing matter more than open weights

Choose GPT-4o when the brief is detailed and the layout has to survive

Use another model when you care more about open weights or a different default style

FAQs

FAQ

About Kling 4 and our platform

What is GPT-4o image generation?

What is GPT-4o best for?

GPT-4o works well for text-heavy posters, ad concepts, annotated explainers, product boards, and edits where the prompt needs to keep layout, labels, and hierarchy intact.

Does GPT-4o support image-to-image here?

Which aspect ratios does GPT-4o support here?

GPT-4o currently supports 1:1, 2:3, and 3:2 here. That covers square assets, portrait layouts, and standard landscape campaign compositions.

How do I write better prompts for GPT-4o?

When should I use GPT-4o instead of Z-Image or Seedream 4?

Can GPT-4o generate readable text inside images?

Yes. OpenAI explicitly highlights text rendering as one of GPT-4o image generation's strengths, which makes it useful for posters, menus, labels, diagrams, and annotated marketing assets.

Can I use GPT-4o images commercially?

Still have questions? We're here to help

Join Discord

Related models

Compare GPT-4o with other image models on this site

If GPT-4o is not the right fit for your workflow, compare it with these related model pages to weigh text rendering, editing style, local deployment, and visual direction.

Z-Image Generator

Compare GPT-4o with Z-Image when you want to weigh hosted editing against open weights and local deployment.

Explore model

Seedream 4 Image Generator

Open Seedream 4 when you want a more stylized or cinematic visual default.

Explore model

Flux 2 Image Generator

Explore Flux 2 when you want a different prompt response and another route to polished image outputs.

Explore model

Qwen 2 Image Generator

Compare GPT-4o with Qwen 2 for another hosted image workflow that supports prompt-led generation and reference-based edits.

Explore model

Try GPT-4o here

Open the generator, start with a detailed prompt, and add up to five reference images when the output needs to stay closer to a specific brief.

Open GPT-4o generator