
Detailed prompts
Hold multi-part instructions together
Coordinate subject, layout, lighting, palette, camera language, exact copy, and delivery constraints in one request rather than satisfying only the loudest instruction.
Turn detailed instructions into a poster, product visual, or campaign asset with readable type and focused edits, directly in Oeneo AI without a ChatGPT subscription.




Prompt-to-output examples
Each direction asks the model to solve a production problem: place readable copy, protect a product, follow detailed art direction, combine references, or revise only one part of a scene.

Production prompt: Design a vertical exhibition poster titled MATTER / MEMORY. Use a strict grid, one large readable headline, restrained cream and burgundy colors, and a clear hierarchy for date and venue.

Production prompt: Use the supplied bottle as the product reference. Place it on a warm stone plinth with soft directional light, accurate glass reflections, preserved label proportions, and clear space for campaign copy.

Production prompt: Create a full-length fashion editorial in a sculptural desert set. Preserve precise garment construction, use deep blue shadows and a restrained camera perspective, and leave a clean upper third for magazine copy.

Production prompt: Use image 1 for the feather silhouette, image 2 for the translucent material, and image 3 for the palette. Build one campaign image while preserving the defining shape.

Production prompt: Change only the environment to a quiet moonlit night. Keep the subject, camera angle, framing, pose, and burgundy material details unchanged.
Where the model earns its place
Choose it when layout, copy, references, and precise instructions matter as much as visual style—and when the result must stand up to a production review.

Detailed prompts
Coordinate subject, layout, lighting, palette, camera language, exact copy, and delivery constraints in one request rather than satisfying only the loudest instruction.

Readable text
Use exact copy in posters, labels, diagrams, presentation graphics, and campaign layouts. Text can still fail, so names, numbers, and small type require a final proofread.

Up to 16 inputs
Use separate references for identity, product form, composition, material, or style. State what each image controls, what must remain fixed, and what the model may reinterpret.

1K, 2K, 4K
Choose among three resolutions, seven aspect ratios, three quality levels, PNG, JPEG, or WebP, and up to 4 images per task for social, commerce, presentation, or editorial delivery.
These are the GPT Image 2 controls currently exposed by Oeneo AI. Supported options and credit costs come from live configuration rather than marketing copy.
How to use GPT Image 2
Define what the asset must communicate, assign references, choose the delivery settings, and review the output where mistakes will actually be visible.
State the subject and exact copy first, then add composition, setting, camera or medium, lighting, palette, constraints, and destination.
Explain which image controls identity, product form, layout, palette, or material, and name the details that must not change.
Use low quality while finding direction, then move to medium or high once the composition and copy are settled.
Inspect text, numbers, hands, faces, logos, packaging, factual details, and edges at delivery size. Revise one instruction at a time.
Where GPT Image 2 fits
GPT Image 2 is a strong choice when readable text, a designed layout, detailed references, and focused revisions matter more than generating a quick mood image.
Develop one campaign direction across multiple aspect ratios while keeping the approved message, palette, and visual hierarchy recognizable.
Example: A launch key visual adapted for feed, story, banner, and presentation cover.
Use product references to explore settings, surfaces, props, and campaign variants while explicitly protecting the geometry, label, and material cues that define the object.
Example: A consistent catalog concept built from one approved product reference.
Develop posters, diagrams, infographics, and presentation graphics where readable copy and information hierarchy belong inside the image from the start.
Example: A vertical event poster with a supplied headline and clear information hierarchy.
Change one element, setting, or condition while naming the composition, identity, camera, lighting, and branded details that must remain unchanged.
Example: Move a daytime product scene to night without changing the product or camera angle.
Production checks
Stronger instruction following reduces cleanup, but it does not replace proofreading, visual inspection, rights clearance, or provider policy checks.
Verify details
Names, numbers, small copy, diagrams, hands, faces, logos, packaging, and factual details can still be wrong. Review them at final delivery size, not in a thumbnail.
Iterate deliberately
When most of the image works, keep those constraints and change one explicit instruction. Rewriting the entire prompt can lose approved details and makes comparison harder.
Clear rights
Confirm permission for identifiable people, brands, copyrighted work, and third-party product imagery before uploading or publishing. Provider policy may also refuse some requests.
Check current controls
Supported sizes, quality levels, formats, and credit costs are read from the current workspace configuration. Check the visible controls before submitting.
GPT Image 2 FAQ
These answers separate OpenAI's published model capabilities from the controls, output options, and credit workflow currently exposed in Oeneo AI.
GPT Image 2 is OpenAI's current image generation model for high-quality generation and editing. OpenAI documents support for text input, image input and output, flexible sizes, and high-fidelity image inputs.
Yes. Oeneo AI provides access through its own workspace, so you do not need ChatGPT Plus or a separate OpenAI account. New Oeneo AI accounts receive 10 credits to test the workflow.
Yes. GPT Image 2 supports image input, and this workspace accepts up to 16 references with the prompt. Assign each image to identity, product form, material, palette, or layout rather than uploading an unexplained collection.
1K, 2K, and 4K, in seven aspect ratios: 1:1, 4:3, 3:4, 16:9, 9:16, 21:9, and 9:21. Output is PNG, JPEG, or WebP, and downloads carry no visible watermark.
Quality controls how much rendering effort the task receives and changes the credit cost. Use low while exploring, then choose medium or high only after the prompt, composition, and copy are stable.
It depends on whether you are generating or editing, plus the resolution, quality level, and image count. The exact figure for your current settings appears on the Generate button before you submit, and failed tasks are refunded automatically.
Write connected instructions. Lead with the non-negotiable subject and exact copy, then specify composition, setting, camera or medium, lighting, palette, constraints, and destination. For edits, state both the change and the protected details.
Choose GPT Image 2 for readable text, designed layouts, and long multi-part instructions. Choose Nano Banana Pro when several references define a consistent product or character system. Because both run in the same workspace, compare them on the same prompt before committing.
Generally yes, and we do not claim ownership of the images you create here. Whether a specific image is safe to publish still depends on OpenAI's current model terms, your plan, applicable law, and the rights attached to your prompts and reference images. Clear protected material before publication, and take your own legal advice for high-stakes commercial use.
Each alternative runs in the same workbench and uses the same credit balance. Compare the strengths, current controls, and task cost before switching.
Ready for more exact image instructions
Create readable layouts, product visuals, and focused reference edits in Oeneo AI. New accounts receive 10 credits to start.