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29:Tb8c,# GPT Image 2.5 Sunburst: Precision AI Image Generation and Editing

## What is GPT Image 2.5 Sunburst?

GPT Image 2.5 Sunburst is the precision tier of OpenAI's ChatGPT Images 2.5 family, available on Segmind for text-to-image generation and reference-guided image editing. Where the sibling Flare optimizes for speed and high-volume work, Sunburst is tuned for demanding creative briefs â€” production-ready campaign creative and polished product imagery â€” trading longer generation time for tighter control. Send a prompt to generate an image, or add reference images to switch into edit mode and change only what you specify.

## Key Features

- Precision editing that changes only what you ask while preserving composition, subject, and brand treatment.
- Legible in-image typography across scripts and complex, layout-driven compositions.
- Strong reference-photo fidelity: transform a familiar subject into new settings and styles while distinctive features carry through.
- High-resolution output up to 3840x2160 (4K), with optional custom width and height.
- Transparent-background generation for logos, UI assets, and product cutouts.
- Alpha-PNG masking for surgical inpainting of a single region.

## Best Use Cases

Reach for Sunburst when correctness and control matter more than raw speed: campaign hero images, on-brand asset series, product and packaging shots, posters, invitations, and presentation visuals that carry legible text. Its scoped editing suits production pipelines that must update one element â€” a product, a background, or a line of copy â€” without rebuilding the rest of the asset. In testing, a strawberry jam label was swapped to blackcurrant while the jar, shelf, and lighting stayed pixel-consistent, and a mint-green scooter kept its identity across a full change of scene.

## Prompt Tips and Output Quality

Lead with the subject, then name the style, materials, and any text you want rendered, placed in quotes. Keep quality set to high for crisp typography and drop it only for previews. For edits, name the element to change and instruct the model to keep everything else the same. In testing, a text-heavy album cover rendered a title, a five-track list, and a catalog number cleanly at high quality with distinct materials and no artifacts.

## FAQs

**Does it edit images?** Yes â€” supply image_urls to switch to edit mode, with an optional alpha mask for surgical inpainting.

**What is the maximum resolution?** Up to 3840x2160 (4K) via size presets, or a custom width and height.

**Can it output transparent backgrounds?** Yes â€” set background to transparent to return an alpha PNG for cutouts and logos.

**Flare or Sunburst?** Flare is the faster default; choose Sunburst when quality and edit precision matter most.

**Which scripts does the in-image text support?** In-image typography works across multiple scripts, so posters and product copy stay legible.
2a:Tb95,# How to Use GPT Image 2.5 Sunburst

GPT Image 2.5 Sunburst generates images from text and edits them from reference photos with tight control. Reach for it when quality and edit precision matter more than speed.

## Recommended Settings

- **prompt:** lead with the subject, then style, materials, and any in-image text placed in quotes.
- **quality:** high for finished work and legible text; medium or low only for quick previews.
- **size:** 1536x1024 for a balanced default; 3840x2160 for 4K, or a custom width and height (each a multiple of 16, aspect ratio up to 3:1).
- **background:** transparent with output_format png for logos, stickers, and UI cutouts; opaque for full scenes.
- **image_urls:** add one or more references to switch into edit mode; add an alpha-PNG mask_image_url to inpaint a single region.
- Expect roughly 30-40 seconds per high-quality render â€” slower than Flare by design.

## Example prompts and edits to try

Each example below ran end to end at the settings shown; the note says what carried over.

- **Default â€” in-image typography (generation).** Prompt: "A straight-down product still-life photograph on a brushed grey concrete surface. A glossy black vinyl record is half-slid out of a matte kraft-brown album sleeve. The sleeve is a modernist jazz cover with a large title, an artist line, and a five-song tracklist; the paper center label reads SIDE A with a catalog number." The title, tracklist, and circular label rendered legibly at quality high. Tip: put every line of text in quotes so spelling and layout hold.
- **Precision edit.** Prompt: "Using the reference photo, change only the label: replace the word STRAWBERRY with BLACKCURRANT and the strawberries with blackcurrants; keep the jar, lid, shelf, background, lighting and layout the same." Only the label and berries changed. Tip: name the element to change and say keep everything else the same.
- **Reference-photo subject fidelity.** Prompt: "Keep this exact mint-green scooter unchanged and place it parked on a snow-dusted alpine cobblestone street at dusk, string lights overhead, a lit bakery window behind it." The scooter's features carried into a new scene. Tip: describe the subject's distinctive details so identity is anchored.
- **Transparent background.** Prompt: "A single hand-embroidered iron-on patch shaped like a honeybee, isolated and centered on a transparent background." Returned a clean alpha PNG cutout. Tip: set background transparent with png output and ask for one centered subject.

### Reference-guided edits

The precision-edit and subject-fidelity examples each take one reference image in image_urls â€” address it as "the reference photo." Add a matching alpha-PNG mask_image_url to confine changes to a single region.

Further edits the model is built for: "swap the background behind this product", "change the headline copy to a new line", "place this logo on a transparent background".
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2d:T44f,{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.segmind.com/models/gpt-image-2.5-sunburst#faq","mainEntity":[{"@type":"Question","name":"Does it edit images?","acceptedAnswer":{"@type":"Answer","text":"Yes â€” supply image_urls to switch to edit mode, with an optional alpha mask for surgical inpainting."}},{"@type":"Question","name":"What is the maximum resolution?","acceptedAnswer":{"@type":"Answer","text":"Up to 3840x2160 (4K) via size presets, or a custom width and height."}},{"@type":"Question","name":"Can it output transparent backgrounds?","acceptedAnswer":{"@type":"Answer","text":"Yes â€” set background to transparent to return an alpha PNG for cutouts and logos."}},{"@type":"Question","name":"Flare or Sunburst?","acceptedAnswer":{"@type":"Answer","text":"Flare is the faster default; choose Sunburst when quality and edit precision matter most."}},{"@type":"Question","name":"Which scripts does the in-image text support?","acceptedAnswer":{"@type":"Answer","text":"In-image typography works across multiple scripts, so posters and product copy stay legible."}}]}2f:Tb8c,# GPT Image 2.5 Sunburst: Precision AI Image Generation and Editing

## What is GPT Image 2.5 Sunburst?

GPT Image 2.5 Sunburst is the precision tier of OpenAI's ChatGPT Images 2.5 family, available on Segmind for text-to-image generation and reference-guided image editing. Where the sibling Flare optimizes for speed and high-volume work, Sunburst is tuned for demanding creative briefs â€” production-ready campaign creative and polished product imagery â€” trading longer generation time for tighter control. Send a prompt to generate an image, or add reference images to switch into edit mode and change only what you specify.

## Key Features

- Precision editing that changes only what you ask while preserving composition, subject, and brand treatment.
- Legible in-image typography across scripts and complex, layout-driven compositions.
- Strong reference-photo fidelity: transform a familiar subject into new settings and styles while distinctive features carry through.
- High-resolution output up to 3840x2160 (4K), with optional custom width and height.
- Transparent-background generation for logos, UI assets, and product cutouts.
- Alpha-PNG masking for surgical inpainting of a single region.

## Best Use Cases

Reach for Sunburst when correctness and control matter more than raw speed: campaign hero images, on-brand asset series, product and packaging shots, posters, invitations, and presentation visuals that carry legible text. Its scoped editing suits production pipelines that must update one element â€” a product, a background, or a line of copy â€” without rebuilding the rest of the asset. In testing, a strawberry jam label was swapped to blackcurrant while the jar, shelf, and lighting stayed pixel-consistent, and a mint-green scooter kept its identity across a full change of scene.

## Prompt Tips and Output Quality

Lead with the subject, then name the style, materials, and any text you want rendered, placed in quotes. Keep quality set to high for crisp typography and drop it only for previews. For edits, name the element to change and instruct the model to keep everything else the same. In testing, a text-heavy album cover rendered a title, a five-track list, and a catalog number cleanly at high quality with distinct materials and no artifacts.

## FAQs

**Does it edit images?** Yes â€” supply image_urls to switch to edit mode, with an optional alpha mask for surgical inpainting.

**What is the maximum resolution?** Up to 3840x2160 (4K) via size presets, or a custom width and height.

**Can it output transparent backgrounds?** Yes â€” set background to transparent to return an alpha PNG for cutouts and logos.

**Flare or Sunburst?** Flare is the faster default; choose Sunburst when quality and edit precision matter most.

**Which scripts does the in-image text support?** In-image typography works across multiple scripts, so posters and product copy stay legible.
30:Tb95,# How to Use GPT Image 2.5 Sunburst

GPT Image 2.5 Sunburst generates images from text and edits them from reference photos with tight control. Reach for it when quality and edit precision matter more than speed.

## Recommended Settings

- **prompt:** lead with the subject, then style, materials, and any in-image text placed in quotes.
- **quality:** high for finished work and legible text; medium or low only for quick previews.
- **size:** 1536x1024 for a balanced default; 3840x2160 for 4K, or a custom width and height (each a multiple of 16, aspect ratio up to 3:1).
- **background:** transparent with output_format png for logos, stickers, and UI cutouts; opaque for full scenes.
- **image_urls:** add one or more references to switch into edit mode; add an alpha-PNG mask_image_url to inpaint a single region.
- Expect roughly 30-40 seconds per high-quality render â€” slower than Flare by design.

## Example prompts and edits to try

Each example below ran end to end at the settings shown; the note says what carried over.

- **Default â€” in-image typography (generation).** Prompt: "A straight-down product still-life photograph on a brushed grey concrete surface. A glossy black vinyl record is half-slid out of a matte kraft-brown album sleeve. The sleeve is a modernist jazz cover with a large title, an artist line, and a five-song tracklist; the paper center label reads SIDE A with a catalog number." The title, tracklist, and circular label rendered legibly at quality high. Tip: put every line of text in quotes so spelling and layout hold.
- **Precision edit.** Prompt: "Using the reference photo, change only the label: replace the word STRAWBERRY with BLACKCURRANT and the strawberries with blackcurrants; keep the jar, lid, shelf, background, lighting and layout the same." Only the label and berries changed. Tip: name the element to change and say keep everything else the same.
- **Reference-photo subject fidelity.** Prompt: "Keep this exact mint-green scooter unchanged and place it parked on a snow-dusted alpine cobblestone street at dusk, string lights overhead, a lit bakery window behind it." The scooter's features carried into a new scene. Tip: describe the subject's distinctive details so identity is anchored.
- **Transparent background.** Prompt: "A single hand-embroidered iron-on patch shaped like a honeybee, isolated and centered on a transparent background." Returned a clean alpha PNG cutout. Tip: set background transparent with png output and ask for one centered subject.

### Reference-guided edits

The precision-edit and subject-fidelity examples each take one reference image in image_urls â€” address it as "the reference photo." Add a matching alpha-PNG mask_image_url to confine changes to a single region.

Further edits the model is built for: "swap the background behind this product", "change the headline copy to a new line", "place this logo on a transparent background".
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