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29:Tdac,# GPT Image 2.5 Flare â€” Text-to-Image Generation and Editing

## What is GPT Image 2.5 Flare?

GPT Image 2.5 Flare is OpenAI's default ChatGPT Images 2.5 model, exposed on Segmind for text-to-image generation and reference-guided image editing through a single endpoint. It produces higher-quality images than GPT Image 2 with more natural lighting, richer textures, and sharper detail, while cutting generation latency by up to 50% versus the previous generation. Send a text prompt to generate from scratch, or pass one or more images in `image_urls` to switch to edit mode and change only what you ask. Flare is tuned for fast, high-quality everyday work: social and creator content, product and packaging shots, marketing creative, app mockups, and high-volume image generation.

## Key Features

- **In-image typography across scripts** â€” renders correctly spelled, legible text, including small print and non-Latin characters, for posters, labels, and UI copy.
- **Precise, reference-guided editing** â€” edit only the element you name while keeping subject, composition, and background pixel-stable, even in complex scenes.
- **Transparent backgrounds** â€” return a real alpha-channel PNG or WEBP for logos, stickers, and UI assets.
- **High resolution up to 3840Ã—2160 (4K)** with quality tiers (low, medium, high, auto).
- **Flexible output** â€” PNG, JPEG, or WEBP with adjustable compression, plus optional PNG-alpha masking for surgical inpainting.

## Best Use Cases

In testing, Flare rendered a product bottle with a fully legible multi-line label in one pass, so it is a strong fit for packaging mockups, ecommerce and ad creative, and localized visuals with on-image copy. Its edit mode recolored only a scooter's body while preserving chrome, number plate, wall, and shadow, making it ideal for targeted product, background, or copy swaps that must protect brand treatment. Transparent-background output produces clean die-cut assets for logos and app UI, and 4K generation keeps edges and type crisp for print and campaign crops. Reference-photo fidelity also makes it dependable for moving a known subject into new settings and styles.

## Prompt Tips and Output Quality

Lead with the subject, then style and lighting, and place any in-image text in quotes. Keep `quality` at `high` and `output_format` at `png` so small type stays sharp. Use `size` for aspect and resolution â€” 1024Ã—1536 or 1536Ã—1024 for everyday shots, 3840Ã—2160 for 4K. To edit, pass reference images in `image_urls` and name exactly what must not change; add a PNG-alpha `mask_image_url` for surgical inpainting. Set `background` to `transparent` for assets that need an alpha channel.

## FAQs

**What is the difference between Flare and Sunburst?** Flare is the fast, high-quality default for most applications; Sunburst targets premium editing precision at longer generation times.

**How do I edit an existing image?** Pass one or more image URLs in `image_urls` to switch to edit mode, then describe the change; add a PNG-alpha mask for pinpoint inpainting.

**Can it generate transparent PNGs?** Yes â€” set `background` to `transparent` with PNG or WEBP output to get a real alpha channel.

**What is the maximum resolution?** Up to 3840Ã—2160, with custom width and height allowed on a 16-pixel grid.

**Does it render text reliably?** Yes â€” it is built to render legible in-image typography across scripts, including small print and multiple text blocks.
2a:Tf77,# How to Use GPT Image 2.5 Flare

GPT Image 2.5 Flare generates images from a text prompt and edits existing images when you supply references, all from one endpoint. Write prompts subject-first: name the subject, then the style, then a single lighting cue, and put any text you want rendered in quotes so it appears verbatim. For generation, leave `image_urls` empty; to edit, add one or more reference URLs and the model switches to edit mode, changing only what you describe.

Pick parameters by the job. Use `size` to set aspect and resolution â€” portrait `1024x1536` or landscape `1536x1024` for everyday work, and `3840x2160` for 4K print or campaign crops (each edge must be a multiple of 16). Keep `quality` at `high` and `output_format` at `png` when legible text or fine detail matters; switch to `webp` or `jpeg`, or lower `output_compression`, only to shrink files. Set `background` to `transparent` for logos, stickers, and UI assets that need a real alpha channel, and add a PNG-alpha `mask_image_url` to inpaint a specific region while the rest stays pixel-perfect.

## Recommended Settings

- **Everyday / social / product shots:** `size` 1024Ã—1536 or 1536Ã—1024, `quality` high, `background` opaque, `output_format` png, `output_compression` 100.
- **Precise edits:** put references in `image_urls`, keep `quality` high, match `size` to the source aspect.
- **Transparent assets:** `background` transparent, `output_format` png.
- **4K detail:** `size` 3840Ã—2160 (expect a higher token cost per image).

## Example prompts to try

Each example below was run end to end at the settings shown; the text, edits, transparency, and 4K detail described are what the model actually returned.

- **Quality + in-image typography (default).** Prompt: "A photoreal product photograph of a frosted glass bottle of artisanal hot sauce standing on a weathered wooden market stall... The wraparound kraft-paper label reads, in bold condensed serif lettering: 'EMBER & ASH'... 'Smoked Habanero Hot Sauce'... 'habanero Â· smoked paprika Â· lime Â· sea salt', and '148 ml'..." Every label line rendered legibly on the curved glass, with crisp condensation and pepper textures. Tip: keep quality=high and output_format=png so small type stays sharp.
- **Precise reference-guided edit.** Prompt: "Recolor only the scooter's body panels to matte mustard yellow. Keep the chrome mirror, chrome headlight ring, handlebars, the white 'MU-42' number plate, the cream plaster wall, the grey floor and the ground shadow exactly as they are." Only the body changed; every named element stayed identical. Tip: pass the photo in `image_urls` and spell out what must not change.
- **Transparent-background asset.** Prompt: "A pair of hand-knitted wool mittens with a Nordic snowflake pattern in cream and rust, laid flat and slightly overlapping, soft fuzzy wool texture, isolated on a transparent background." Returned a true alpha PNG with clean, fuzzy edges. Tip: set `background` transparent for drop-in logos and UI assets.
- **High-resolution 4K.** Prompt: "An evenly lit product photograph of a hand-thrown ceramic teapot glazed in deep celadon green, resting on a dark slate surface. Visible spiral throwing rings... a crackle-glaze drip near the spout, and coarse grey grain in the unglazed clay foot." Fine glaze and clay detail held up at 3840Ã—2160. Tip: use 4K only when you need print-scale crops.

### Reference-guided editing

The edit example takes one reference image in `image_urls`; address it directly ("the scooter," "the number plate") and the model preserves everything you do not mention. You can stack more references to carry a subject or style across a change.

Further ideas the model is built for: "add a legible neon sign that reads OPEN," "swap the background to a marble countertop but keep the product," "make a die-cut sticker of this logo on a transparent background," "render this poster at 4K for print."
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2d:T4dc,{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.segmind.com/models/gpt-image-2.5-flare#faq","mainEntity":[{"@type":"Question","name":"What is the difference between Flare and Sunburst?","acceptedAnswer":{"@type":"Answer","text":"Flare is the fast, high-quality default for most applications; Sunburst targets premium editing precision at longer generation times."}},{"@type":"Question","name":"How do I edit an existing image?","acceptedAnswer":{"@type":"Answer","text":"Pass one or more image URLs in image_urls to switch to edit mode, then describe the change; add a PNG-alpha mask for pinpoint inpainting."}},{"@type":"Question","name":"Can it generate transparent PNGs?","acceptedAnswer":{"@type":"Answer","text":"Yes â€” set background to transparent with PNG or WEBP output to get a real alpha channel."}},{"@type":"Question","name":"What is the maximum resolution?","acceptedAnswer":{"@type":"Answer","text":"Up to 3840Ã—2160, with custom width and height allowed on a 16-pixel grid."}},{"@type":"Question","name":"Does it render text reliably?","acceptedAnswer":{"@type":"Answer","text":"Yes â€” it is built to render legible in-image typography across scripts, including small print and multiple text blocks."}}]}2f:Tdac,# GPT Image 2.5 Flare â€” Text-to-Image Generation and Editing

## What is GPT Image 2.5 Flare?

GPT Image 2.5 Flare is OpenAI's default ChatGPT Images 2.5 model, exposed on Segmind for text-to-image generation and reference-guided image editing through a single endpoint. It produces higher-quality images than GPT Image 2 with more natural lighting, richer textures, and sharper detail, while cutting generation latency by up to 50% versus the previous generation. Send a text prompt to generate from scratch, or pass one or more images in `image_urls` to switch to edit mode and change only what you ask. Flare is tuned for fast, high-quality everyday work: social and creator content, product and packaging shots, marketing creative, app mockups, and high-volume image generation.

## Key Features

- **In-image typography across scripts** â€” renders correctly spelled, legible text, including small print and non-Latin characters, for posters, labels, and UI copy.
- **Precise, reference-guided editing** â€” edit only the element you name while keeping subject, composition, and background pixel-stable, even in complex scenes.
- **Transparent backgrounds** â€” return a real alpha-channel PNG or WEBP for logos, stickers, and UI assets.
- **High resolution up to 3840Ã—2160 (4K)** with quality tiers (low, medium, high, auto).
- **Flexible output** â€” PNG, JPEG, or WEBP with adjustable compression, plus optional PNG-alpha masking for surgical inpainting.

## Best Use Cases

In testing, Flare rendered a product bottle with a fully legible multi-line label in one pass, so it is a strong fit for packaging mockups, ecommerce and ad creative, and localized visuals with on-image copy. Its edit mode recolored only a scooter's body while preserving chrome, number plate, wall, and shadow, making it ideal for targeted product, background, or copy swaps that must protect brand treatment. Transparent-background output produces clean die-cut assets for logos and app UI, and 4K generation keeps edges and type crisp for print and campaign crops. Reference-photo fidelity also makes it dependable for moving a known subject into new settings and styles.

## Prompt Tips and Output Quality

Lead with the subject, then style and lighting, and place any in-image text in quotes. Keep `quality` at `high` and `output_format` at `png` so small type stays sharp. Use `size` for aspect and resolution â€” 1024Ã—1536 or 1536Ã—1024 for everyday shots, 3840Ã—2160 for 4K. To edit, pass reference images in `image_urls` and name exactly what must not change; add a PNG-alpha `mask_image_url` for surgical inpainting. Set `background` to `transparent` for assets that need an alpha channel.

## FAQs

**What is the difference between Flare and Sunburst?** Flare is the fast, high-quality default for most applications; Sunburst targets premium editing precision at longer generation times.

**How do I edit an existing image?** Pass one or more image URLs in `image_urls` to switch to edit mode, then describe the change; add a PNG-alpha mask for pinpoint inpainting.

**Can it generate transparent PNGs?** Yes â€” set `background` to `transparent` with PNG or WEBP output to get a real alpha channel.

**What is the maximum resolution?** Up to 3840Ã—2160, with custom width and height allowed on a 16-pixel grid.

**Does it render text reliably?** Yes â€” it is built to render legible in-image typography across scripts, including small print and multiple text blocks.
30:Tf77,# How to Use GPT Image 2.5 Flare

GPT Image 2.5 Flare generates images from a text prompt and edits existing images when you supply references, all from one endpoint. Write prompts subject-first: name the subject, then the style, then a single lighting cue, and put any text you want rendered in quotes so it appears verbatim. For generation, leave `image_urls` empty; to edit, add one or more reference URLs and the model switches to edit mode, changing only what you describe.

Pick parameters by the job. Use `size` to set aspect and resolution â€” portrait `1024x1536` or landscape `1536x1024` for everyday work, and `3840x2160` for 4K print or campaign crops (each edge must be a multiple of 16). Keep `quality` at `high` and `output_format` at `png` when legible text or fine detail matters; switch to `webp` or `jpeg`, or lower `output_compression`, only to shrink files. Set `background` to `transparent` for logos, stickers, and UI assets that need a real alpha channel, and add a PNG-alpha `mask_image_url` to inpaint a specific region while the rest stays pixel-perfect.

## Recommended Settings

- **Everyday / social / product shots:** `size` 1024Ã—1536 or 1536Ã—1024, `quality` high, `background` opaque, `output_format` png, `output_compression` 100.
- **Precise edits:** put references in `image_urls`, keep `quality` high, match `size` to the source aspect.
- **Transparent assets:** `background` transparent, `output_format` png.
- **4K detail:** `size` 3840Ã—2160 (expect a higher token cost per image).

## Example prompts to try

Each example below was run end to end at the settings shown; the text, edits, transparency, and 4K detail described are what the model actually returned.

- **Quality + in-image typography (default).** Prompt: "A photoreal product photograph of a frosted glass bottle of artisanal hot sauce standing on a weathered wooden market stall... The wraparound kraft-paper label reads, in bold condensed serif lettering: 'EMBER & ASH'... 'Smoked Habanero Hot Sauce'... 'habanero Â· smoked paprika Â· lime Â· sea salt', and '148 ml'..." Every label line rendered legibly on the curved glass, with crisp condensation and pepper textures. Tip: keep quality=high and output_format=png so small type stays sharp.
- **Precise reference-guided edit.** Prompt: "Recolor only the scooter's body panels to matte mustard yellow. Keep the chrome mirror, chrome headlight ring, handlebars, the white 'MU-42' number plate, the cream plaster wall, the grey floor and the ground shadow exactly as they are." Only the body changed; every named element stayed identical. Tip: pass the photo in `image_urls` and spell out what must not change.
- **Transparent-background asset.** Prompt: "A pair of hand-knitted wool mittens with a Nordic snowflake pattern in cream and rust, laid flat and slightly overlapping, soft fuzzy wool texture, isolated on a transparent background." Returned a true alpha PNG with clean, fuzzy edges. Tip: set `background` transparent for drop-in logos and UI assets.
- **High-resolution 4K.** Prompt: "An evenly lit product photograph of a hand-thrown ceramic teapot glazed in deep celadon green, resting on a dark slate surface. Visible spiral throwing rings... a crackle-glaze drip near the spout, and coarse grey grain in the unglazed clay foot." Fine glaze and clay detail held up at 3840Ã—2160. Tip: use 4K only when you need print-scale crops.

### Reference-guided editing

The edit example takes one reference image in `image_urls`; address it directly ("the scooter," "the number plate") and the model preserves everything you do not mention. You can stack more references to carry a subject or style across a change.

Further ideas the model is built for: "add a legible neon sign that reads OPEN," "swap the background to a marble countertop but keep the product," "make a die-cut sticker of this logo on a transparent background," "render this poster at 4K for print."
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