Transform References With GPT Image 2 Image To Image
Last verified: September 10, 2026
GPT Image 2 Image To Image transforms uploaded source images into new visual treatments and variations under a written creative brief. At the model level, GPT Image 2 accepts text as input and images as both input and output, allowing visual evidence and written direction to inform the same editing task.
OpenAI documents the model as automatically processing every image input at high fidelity during editing and reference-led workflows. We recommend pairing the target aesthetic with explicit preservation rules so the model knows which subject details, proportions, framing, or text should remain stable.
The practical game-changer for creators is moving style translation from a chain of manual retouching decisions into one clear visual brief. The uploaded material establishes the creative foundation, the prompt defines the new aesthetic, and the selected canvas prepares the result for its intended placement.
Explore More Image To Image
Verify the Setup Before Spending Credits
A factual preflight view of the required inputs, available controls, and expected result.
Required fields
Prompt and Resolution
Source input
Multiple source files
Resolution choices
1K, 2K, or 4K
Aspect ratios
1:1, 2:3, 3:2, 3:4, 4:3, 9:16, or 16:9
Final output
1 photorealistic image
Choose Source-Led Restyling When Fidelity Matters
Use these decision factors to determine whether this workflow matches the creative task.
| Criterion | Our Tool | Alternatives | Best For |
|---|---|---|---|
| Starting material | Begins with uploaded visual material plus written art direction. | Use text-to-image when no existing subject or composition should constrain the result. | Restyles, adaptations, and source-led variations |
| Transformation scope | Fits broad aesthetic changes and recompositions that draw cues from one or more uploads. | Use a region-mask editor when only a precisely isolated area may change. | Projects where the overall look can evolve |
| Repeatability | The prompt and source files guide each run, but seed control is unavailable. | Choose a seeded workflow when deterministic reruns are mandatory. | Directed creative exploration |
| Render budget | Produces one image per run with an expected budget of 19 credits and 128 seconds. | A faster or lower-cost draft workflow may suit large batches of early concepts. | Selected ideas worth a considered render |
Choose this workflow when existing imagery should meaningfully guide a polished new interpretation and you can define the aesthetic change in a precise written brief.
Build a Stronger Brief Before Rendering
Set the Canvas for Its Destination
Budget Every Attempt Before Submission
Run GPT Image 2 Image To Image in Four Clear Steps
Four practical steps take you from the initial brief and source files to a downloadable image.
Step 1: Write the Creative Brief
Enter the required prompt describing the desired transformation and any details that must remain. The field accepts up to 5,000 characters, and an AI prompt helper is available.
Step 2: Upload the Source Files
Add the images that should guide the subject, setting, objects, palette, or other visual decisions in the result.
Step 3: Choose the Output Canvas
Select the required 1K, 2K, or 4K resolution, then choose the aspect ratio that fits the intended placement.
Step 4: Generate and Download
Click Generate to create the image. When the single result is ready, review it and download the final file.
Check the Brief Before GPT Image 2 Generation
Verify these four points before submitting to avoid preventable composition or styling problems.
Before you generate, verify the target style is concrete.
Cause: A broad label such as cinematic, vintage, or artistic leaves too many visual decisions undefined.
Fix: Describe the medium, palette, lighting, texture, era, mood, and degree of realism that should define the finished image.
Retry: Retry after replacing abstract style labels with observable visual traits.
Before you generate, verify the preservation rules are explicit.
Cause: The prompt explains the new look but does not identify the source details that should survive the transformation.
Fix: Name the important facial traits, product geometry, pose, framing, object placement, or written copy directly in the main prompt.
Retry: Retry after adding a short, prioritized list of details that must remain stable.
Before you generate, verify every source has a clear role.
Cause: Uploaded images may present conflicting subjects, lighting conditions, palettes, or compositional signals.
Fix: Describe each source by its visible content and state whether it supplies the subject, environment, object, color direction, or aesthetic.
Retry: Retry after removing unnecessary files or clarifying how the remaining sources should be combined.
Before you generate, verify the ratio fits the composition.
Cause: A narrow canvas may crowd a wide scene, while a landscape canvas may weaken a tightly framed portrait.
Fix: Choose the ratio for the destination and describe the intended crop, subject position, and required negative space in the prompt.
Retry: Retry with a better-matched ratio or revised framing instructions if important content is cropped.
Frequently Asked Questions
How should I prompt GPT Image 2 Image To Image for faithful restyling?
Begin with the finished image you want, then separate the brief into subject, composition, visual style, and constraints. For an edit, state the requested transformation and follow it with a prioritized list of details that should remain intact. OpenAI's prompting guidance recommends defining both the change and the preservation requirements rather than leaving either implicit.
How many source files can I upload?
The workflow supports multiple source files, but the available product specifications do not state a maximum upload count. In most cases, use only the references that contribute a clear subject, object, setting, palette, or style role.
Which resolution and aspect ratio should I choose?
Choose among 1K, 2K, and 4K according to the required delivery size. Select the ratio for the destination: 1:1 for square placements, portrait ratios for vertical compositions, landscape ratios for wide scenes, and 9:16 for tall mobile-oriented imagery.
Does the tool support seeds, negative prompts, or prompt enhancement?
No. Seed control, a negative-prompt field, and automatic prompt enhancement are unavailable in this workflow. The separate AI prompt helper can assist with drafting the main prompt, but it does not add those missing generation controls.
Why did the result change details I wanted to preserve?
Image models can occasionally shift recurring details or place structured elements imprecisely, especially when the prompt requests a major transformation or combines conflicting visual cues. Simplify the source set, identify the protected details explicitly, and revise the request before trying again.
Can GPT Image 2 reproduce exact text inside an image?
GPT Image 2 supports text rendering, but exact placement and clarity can still vary. Quote the required copy verbatim, request that it appear once, specify the typographic hierarchy and alignment, and inspect every character before using the output in production.
Can I use the generated image commercially?
The available tool specifications do not establish licensing or commercial-use rights. Review the applicable Vidofy terms and model-provider policies, and confirm that you have permission to use every uploaded source image, protected mark, recognizable person, and other third-party material.