GPT Image 2.5 Guide: Flare, Sunburst, Prompts and Editing
Try GPT Image 2.5 Flare in iMini
GPT Image 2.5 helps you generate an image or revise an existing reference, but the useful choice is not simply “the newest model.” Choose a model for your quality and speed needs, describe a specific asset, and check whether the result preserves the details that matter.
OpenAI’s image prompting guide identifies two options: Flare prioritizes speed, while Sunburst prioritizes quality. Both support generation and editing. Better subject preservation is not a guarantee that a face, label, or product will stay pixel-identical.
Quick Answer
Start with Flare when iteration speed matters, or Sunburst when a demanding edit needs higher quality. Use the same source, prompt, and output requirements for a fair comparison. Change one thing per follow-up and compare the result with the original before making another edit.
| Feature | Why it matters | Best use |
| Sharper details | Inspect fine detail at the final display size; higher quality still needs review. | Product visuals, covers, campaign assets. |
| More precise editing | Revise a selected detail and check for unwanted changes elsewhere. | Retouching, object changes, layout refinements. |
| Subject preservation | Specify protected identity or product details, then verify them against the reference. | Portrait edits, product consistency. |
| Reusable briefs | Reuse an approved composition and explicit constraints. | Social posts, marketing graphics, repeatable formats. |
| Sketch | Use a drawing as a reference and specify which layout details to retain. | Concept design, layout ideation, quick drafts. |
What GPT Image 2.5 Can Help You Do
The official prompting guide describes improved precise editing and subject preservation in both models. Flare is optimized for speed, with image quality comparable to GPT Image 2; Sunburst is optimized for quality. These are model-level descriptions, not a promise about the time or accuracy of your particular request.
For a product photo, upload a clear reference and ask for one background or lighting change. For a sketch, identify the intended geometry and composition. For text-heavy assets, verify every word or finish the typography separately. Controls offered in ChatGPT, the API, and iMini can differ.
GPT-Image-2.5 Sunburst vs Flare
Use Flare for a first comparison when speed is the priority. Start with Sunburst when a complex use case does not meet your quality requirements, then test whether Flare can meet the same standard. Measure accepted-image quality and response time on your own references; do not assume that faster always means cheaper.
| Need | Model/workflow angle |
| Premium campaign creative | Start by testing Sunburst for demanding quality requirements; review every edit. |
| Fast social variants | Start by testing Flare with the same reference and a reusable brief. |
| Product imagery | Protect labels, shape, material, color, and proportions. |
| Concept sketch | Upload the drawing as a reference; state which layout elements must remain. |
| Localized assets | Create image without final text, then localize copy in layout. |
Choose a Workflow for Your Asset
The asset determines what to protect. A product photo needs accurate packaging; an advertisement needs intentional copy space; a blog cover needs a readable subject at thumbnail size. Use the table below to define the job before generating.
| Use case | Workflow |
| Product photo | Upload reference, protect product details, improve background and light. |
| Ad creative | Generate visual concepts, leave CTA space, create several variants. |
| Blog cover | Use a clear metaphor, no generated text, safe crop for thumbnails. |
| Social template | Start from a repeatable layout and change product or message. |
| Landing page hero | Create wide image with negative space and mobile crop safety. |
Prompt Formula for ChatGPT Images 2.5
Formula: Create [asset type] for [use case]. Show [subject] in [scene]. Use [composition], [lighting], and [style]. Keep [protected details] unchanged. Leave [negative space] for [layout need]. Avoid [failure list].
Product prompt: Create a premium product hero image from this reference. Keep the product shape, label, logo, color, material, and proportions unchanged. Improve only the background, lighting, reflection, and composition. Leave clean space for a headline and CTA. Do not generate text.
Sketch prompt: Turn this rough sketch into a clean landing page hero visual. Keep the same layout structure, create a polished AI workspace scene, use modern lighting, and leave the left side empty for headline text.
How to Use Images 2.5 on iMini
Open the iMini image editor linked above, upload your reference image, and enter a focused instruction. Confirm the selected model and use the controls actually available in the interface. Save the original and approve one image before making crops, campaign variants, or a video reference frame.
| Step | Action |
| 1. Define the asset | Ad, product image, blog cover, social post, or hero visual. |
| 2. Protect details | Face, product label, logo, layout, or brand color. |
| 3. Generate or edit | Generate a candidate, then compare protected details with the reference. |
| 4. Revise | Use a short follow-up instruction to fix one issue at a time. |
| 5. Package | Create crops, variants, and final design versions. |
FAQ
What is GPT Image 2.5?
It is an OpenAI image-generation and editing model family with Flare and Sunburst options. The official guide describes Flare as speed-focused and Sunburst as quality-focused.
Which model should I try first?
Start with Flare when speed is the priority, or Sunburst when a demanding quality requirement is not being met. Compare the same source, prompt, and output requirements.
Can it preserve product labels exactly?
Preservation instructions help define the task but do not guarantee unchanged pixels or correct text. If exact packaging is essential, composite the original product layer into the approved background.
What should the prompt include?
Name the asset, intended use, subject, scene, composition, lighting, protected details, and exclusions. Keep each follow-up focused on one change.
Next Reading
For prompt examples, read Top 10 ChatGPT Image Prompts. For a model comparison, read GPT Image 2.5 vs GPT Image 2. For market context, read why GPT Image 2.5 matters for AI image generators.
Check the Result Before Reusing It
Inspect the product or person first, then text, edges, shadows, and layout. Repeat the checks after each follow-up: an approved first image does not prove that a later revision is still accurate.
| Next task | What to do | Continue here |
|---|---|---|
| Correct one failed edit | Restore only the damaged detail from the original | Follow-up photo commands |
| Create a product asset | Define packaging, lighting, and the background | Product prompt guide |
| Make a short instruction | Choose one task and list protected details | Task-specific image commands |
| Animate a still image | Approve the still before using it as a video input | iMini video tools |
Final Takeaway
Choose the model against your actual quality and speed requirements. Write a specific brief, preserve a clean original, and inspect each revision. When a critical detail must remain identical, keep that original detail in the final composite rather than relying on a longer prompt.