Generate stunning visuals with GPT Image 2

OpenAI image model

Native multimodal image generation for accurate layouts and typography

Create high-fidelity visuals with precise text rendering, dependable spatial control, and reference-aware edits in one focused CinePixel workspace.

Generation coming soon

Build detailed compositions from natural-language prompts
Render legible typography inside generated images
Refine visual concepts with reference-guided editing
Export production-ready assets up to 4K

A polished visual created in the CinePixel image workspace

GPT Image 2 creation workspace

Generate

Model

GPT Image 2

Prompt

Turn one reference image into a reviewable Prompt without starting image generation.

Review the suggestion before it changes your Prompt. This never starts generation.

Brief the target screen before you generate.

Name the target format, focal subject, palette, and where icons or text will sit. Leave a calm area for readability, keep the main subject inside the crop, and preview the result at its intended size; an image ratio is not a wallpaper file, safe-area validator, or guarantee that overlays will remain readable.

Use camera language as visual direction. If you name a camera, lens, focal length, or aperture, state the intended viewpoint, perspective, depth of field, focus, bokeh, or edge distortion and review those traits in the result. These words guide an image interpretation; they are not a physical-camera simulation, measured focal length, optical guarantee, or proof that every subject detail stayed unchanged.

Treat apparel results as visual concepts. State the sport, garment view, exact name or number, colors, and original mark direction, then inspect every letter, digit, crest, sponsor area, seam, trim, and contrast. A generated jersey is a concept image, not a vector artwork, measurement template, production file, supplier specification, trademark clearance, or license to copy an official team.

Treat cover results as publishing concepts. State the genre, audience, title area, author area, target format, and any protected names or symbols, then check every letter, number, face, logo, and edge. A generated cover is an art-direction draft, not proof of title accuracy, trim or bleed dimensions, print or ebook compliance, copyright clearance, or permission to use a person's likeness.

Treat album art as visual direction. Describe the sound, mood, subject, style, and any protected symbols, then keep exact title and artist text out of the generated image when possible. Review faces, logos, marks, and dense typography; square artwork is a concept, not proof of streaming-platform specs, audio or artwork rights, text accuracy, or permission to use a likeness.

Treat generated lettering as image text. Put one short target word or phrase in quotes and state exact spelling, case, spacing, material, lighting, and background. Check every character and edge, then add dates, addresses, and other functional copy in a text editor; the result is a rendered image, not a live font, editable text layer, 3D mesh, OBJ/STL export, trademark clearance, or proof of commercial rights.

Treat characters as original concept references. State the role, defining traits, costume logic, pose, camera, setting, and art direction, then repeat the few features that must remain recognizable while changing only one or two variables. Review face, silhouette, anatomy, props, cultural references, and rights; a generated image is not a fixed character sheet, rigged game asset, identity lock, likeness clearance, or protected-franchise license.

Add a clear description to begin

Aspect ratio

Resolution

Quality

Public visibility

Share completed results with the CinePixel community after moderation.

Mode: Text to Image
Model: GPT Image 2
Aspect ratio: 1:1
Resolution: 1K
Outputs: 1 image
Public visibility: Private

Coming soon

Create from text

Create finished images, concept art, product shots, and visual drafts from text.

GPT Image 2

Create from text

Create finished images, concept art, product shots, and visual drafts from text.

Aspect ratio1:1

Output formatPNG

Outputs1

Reference imageNot used

Credits10 Credits

ModelGPT Image 2

10 Credits

Generated images

Creation preview

Your next creation will appear here when it is ready.

ModelGPT Image 2

ModeText to Image

Aspect ratio1:1

Session historyImages generated in this session will appear here.

Compare matched model alternatives

These catalog-backed models share the strongest verified capabilities with GPT Image 2. Review the evidence before choosing a workspace.

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Explore image generators by task

Jump into a focused image generator for a specific creative task, then continue in its canonical CinePixel workspace.

Browse all image generators

3D Text Generator Product campaign systems Editorial infographics Poster concepts Portrait concepts Character concepts

Start with a production-ready direction

Choose a prompt to load it into the generator, then refine the details before creating.

Built for layout-sensitive image work

GPT Image 2 is strongest when composition, readable text, and iterative visual direction need to stay aligned.

Text to Image
Credits per generation: 10-24 creditsPricing source updated 2026-05-15
Supported aspect ratios: 16:9 · 9:16 · 1:1 · 3:2
Output format: PNG
Resolution: 1K / 2K / 4K (varies by settings)

Image to Image
Credits per generation: 10-24 creditsPricing source updated 2026-05-15
Supported aspect ratios: 16:9 · 9:16 · 1:1 · 3:2 · 2:3
Output format: PNG
Reference image capacity: Up to 16 reference images
Resolution: 1K / 2K / 4K (varies by settings)

Exact options are revalidated in the workspace for the selected workflow and aspect ratio.

Accurate instruction following across dense creative briefs
Readable typography for posters, packaging, and interface concepts
Reference-aware edits that preserve important visual structure
Flexible framing for square, portrait, and wide production assets

How to use GPT Image 2

Use the live workbench in four deliberate steps, then review the result before you decide what to create next.

Choose a model and workflow
Start from this canonical model route and select the workflow that matches your brief, such as Text to Image or Image to Image when available.
Describe the visual direction
Write the subject, composition, lighting, materials, and must-keep constraints in the prompt, putting the most important details first.
Add references and adjust settings
Add reference images when the selected workflow supports them, then adjust only the ratio, resolution, format, and other controls shown for that workflow.
Review before creating
Inspect the prompt, references, model, and output settings, then choose Generate when the brief is ready.

GPT Image 2 questions

What should I include in a GPT Image 2 prompt?

Describe the subject, setting, composition, material, lighting, and any text that must appear. Put the most important constraints first.

Can I edit an existing image?

Yes. Switch to Image to Image, add a reference, and describe what should change and what should remain consistent.

Does choosing an example generate an image?

No. An example only fills the prompt field so you can review and edit it before starting generation.

Ready to shape the next image?

Return to the live workbench to adjust your prompt, inputs, and output settings before you create.

Compare image models

Choose a CinePixel image model by workflow, provider, and current credit range, then continue in its canonical workspace.

Find the right image model

Generate stunning visuals with GPT Image 2

Native multimodal image generation for accurate layouts and typography

Create from text

Create from text

Compare matched model alternatives

Explore image generators by task

Start with a production-ready direction

Built for layout-sensitive image work

How to use GPT Image 2

Choose a model and workflow

Describe the visual direction

Add references and adjust settings

Review before creating

GPT Image 2 questions

Ready to shape the next image?

Compare image models