Turn Creative Briefs Into Real Scenes With GPT Image 2 Text To Image
Last verified: September 10, 2026
A creative director needs a believable hero image before the review, but the shoot is not booked. This text-only workflow converts a written scene brief into one downloadable photorealistic image, making visual exploration possible before production commitments harden.
OpenAI documents GPT Image 2 as an image generation and editing model with flexible sizes and high-fidelity image inputs. Its companion Images 2.0 system card emphasizes world knowledge, instruction following, visual detail, dense text, and heightened realism; the public materials focus on these behaviors rather than publishing a layer-by-layer architecture. On this page, only the text-to-image capability is used.
For creators, the game-changing part is the shorter path from written direction to a reviewable visual—not a promise that every first render is final. The fixed photorealistic profile and single-image output keep each experiment focused: test a scene, inspect the result, and decide whether the concept deserves another pass.
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Verified Run Profile
The available controls and per-generation limits for this workflow.
Prompt input
Required text, up to 5,000 characters
Resolution
1K, 2K, or 4K
Aspect ratios
1:1, 2:3, 3:2, 3:4, 4:3, 9:16, 16:9
Quality profile
Photorealistic and fixed
Output per run
One image
When a Focused Photorealistic Workflow Fits
Compare the workflow with alternatives according to the asset you need and how you prefer to iterate.
| Criterion | Our Tool | Alternatives | Best For |
|---|---|---|---|
| Starting asset | Begins with a required text prompt and creates an image from scratch. | Use a reference-led editing workflow when an existing subject, layout, or identity must be preserved. | New concepts described entirely in words |
| Visual direction | Uses a fixed photorealistic quality profile. | Choose a style-selectable generator when the assignment requires illustration, anime, or another non-photographic treatment. | Believable product, lifestyle, editorial, food, or architectural imagery |
| Canvas planning | Offers 1K, 2K, and 4K resolution choices with seven common aspect ratios. | Use a workflow with custom pixel dimensions when the destination requires an uncommon or precisely measured canvas. | Standard square, portrait, landscape, vertical, and widescreen placements |
| Iteration pattern | Produces one image per 19-credit generation, with an expected processing time of 92 seconds. | A batch-oriented generator is more suitable when many simultaneous variations are required. | Focused, low-volume concept exploration |
Choose GPT Image 2 Text To Image for focused photorealistic concept work when a text-only brief, standard canvas choices, and one downloadable result match the assignment.
Refine the Brief Before Submission
Set the Canvas Without Code
Budget One Deliberate Generation
From Prompt to Download With GPT Image 2 Text To Image
Complete the workflow in four clear steps, from scene brief to downloaded image.
Step 1: Write the scene brief
Enter a required text prompt describing the subject, setting, composition, lighting, and intended result. Use the available AI prompt helper if you need drafting assistance.
Step 2: Choose the canvas
Select the required 1K, 2K, or 4K resolution, then choose the aspect ratio that matches the destination.
Step 3: Generate the image
Account for the expected 19-credit cost, click Generate, and allow approximately 92 seconds for processing.
Step 4: Inspect and download
Review the single photorealistic image produced by the run, then download the final result.
Preflight Checks for a Cleaner GPT Image 2 Result
Verify these four points before spending credits on a generation.
1. Verify that one subject leads the frame
Cause: Too many equally weighted subjects or contradictory placement instructions can weaken the visual hierarchy.
Fix: Name the primary subject first, then add its action, environment, framing, lighting, and only the supporting details that matter. OpenAI recommends clear prompts organized around purpose, subject, setting, style, framing, and light.
Retry: Retry after rewriting the hierarchy; changing resolution alone is unlikely to resolve an ambiguous composition.
2. Verify that the canvas matches the destination
Cause: A scene composed for one orientation may crop poorly when generated in another.
Fix: Select the delivery ratio before generating and describe composition for that shape, such as centered square framing, full-length portrait framing, or a wide environmental view.
Retry: Retry with a different aspect ratio when the subject is cut off or important negative space appears on the wrong side.
3. Verify that visible wording is short and exact
Cause: Long passages, several type styles, or vague placement instructions increase the chance of imperfect lettering.
Fix: Put the required copy in quotation marks, request it exactly once, and specify placement, font character, size, and color. OpenAI also advises checking dense text in a design tool before final delivery.
Retry: Retry after shortening the copy or separating one text-heavy scene into a simpler composition.
4. Verify the run budget and expected wait
Cause: Each generation is expected to use 19 credits and take approximately 92 seconds.
Fix: Confirm the required resolution and aspect ratio before clicking Generate, then allow the active request to finish rather than submitting duplicate attempts.
Retry: Retry only if the request fails or remains incomplete beyond the normal processing period, and verify that sufficient credits remain.
Frequently Asked Questions
Does this page always create photorealistic images?
Yes. The quality profile supplied for this workflow is fixed to photorealistic, so there is no documented style selector for switching to illustration, anime, watercolor, or another rendering profile. Describe the desired photographic treatment through details such as lens perspective, lighting, materials, environment, and composition.
How detailed should my prompt be?
Prioritize clarity over length. OpenAI recommends stating the purpose, main subject, action, setting, visual style, framing, lighting, and any constraints that materially affect the image; one to three clear sentences can often establish a strong brief, although this field allows up to 5,000 characters.
Can I upload a reference image on this page?
No reference-image input is listed for this workflow; the required input is text. The underlying GPT Image 2 model supports image inputs and editing in other implementations, but those capabilities should not be assumed to be available on this text-only page.
Which resolution and aspect ratio should I choose?
Choose 1K when the image will be reviewed or displayed at a smaller size, 2K for general-purpose creative delivery, and 4K when you need the largest offered canvas. Match the ratio to the destination: 1:1 for square placements, 9:16 for vertical screens, 16:9 for wide layouts, or an intermediate portrait or landscape ratio when less extreme framing fits better.
Can GPT Image 2 render readable text inside an image?
The model documentation lists text rendering as a supported image capability, but lettering should still be inspected before publication. Keep the copy short, place it in quotation marks, request it exactly once, and specify its font character, size, color, and position.
Can I generate several variations at once?
No. The documented output count is one image per generation. To explore another composition or lighting direction, revise the prompt and start a separate run; each generation carries its own expected 19-credit cost and 92-second processing time.
Does this workflow support negative prompts or seed control?
No negative-prompt or seed setting is documented for this page. Write important requirements positively and directly—for example, specify a clean studio background and a single centered product rather than relying on a separate exclusion field.
Can I use the downloaded image commercially?
The supplied tool context does not define a Vidofy-specific commercial-use license. OpenAI's business terms state that API customers own outputs as between the customer and OpenAI to the extent permitted by law, but that does not independently define an end user's rights under a third-party platform. Review the applicable platform terms and any trademark, likeness, or copyright considerations before commercial use.
What should I do if a request is blocked?
OpenAI describes prompt-layer and image-layer safeguards for Images 2.0. The supplied context does not document how a refusal is displayed on this page, so revise a blocked request to remove disallowed, deceptive, or rights-sensitive content instead of repeatedly submitting the same wording.