How to Prompt ChatGPT Images 2.5

ChatGPT Images 2.5 gives you control when your prompt is a brief, not a wish.

You can change the light, the background, the clothing, or the style of an existing image and keep the subject the same. You can place a product into a scene, turn a sketch into a render, add a hand or model to a product, and build a campaign across several edits. Try it in PhotoGPT.

The challenge is that the model reads the entire prompt as one set of instructions. If the brief is vague, it has to guess. If the brief is clear, it follows.

If your prompt looks like this:

A premium watch, realistic, 4K, luxury

the model has to invent the shape, the surface, the light, the angle, and the finish. It will return a generic silver watch on a plain background.

If your prompt looks like this:

A 42mm brushed steel automatic diver's watch with a black ceramic bezel and tan rubber strap, resting on a weathered wooden sailboat deck at golden hour. Overhead 85mm shot, f/5.6, deep depth of field keeping the deck grain and watch details sharp. Warm amber sunlight from the right, soft shadows, fine salt crystals on the case and buckle. 1970s tool-watch photography, muted teal and amber palette. 1:1. No extra text.

the important decisions are already made. The model still fills in details, but the subject, setting, camera, light, style, and constraints are all named.

This guide teaches the brief format. It also teaches editing and multi-turn workflows: changing the light, the background, or the product one step at a time while keeping the parts you already approved.

What GPT Image 2.5 Is

ChatGPT Images 2.5 is a text- and image-to-image model available in PhotoGPT. It generates and edits images from text and image inputs.

There are two model versions:

• GPT Image 2.5 Flare (gpt-image-2.5-flare). The small model. Faster, with image quality comparable to GPT Image 2. Use it for drafts, quick iterations, social assets, and concept exploration.
• GPT Image 2.5 Sunburst (gpt-image-2.5-sunburst). The base model. Higher image quality, better at precise edits, product details, exact text, and identity preservation. Use it for final delivery and demanding scenes.

Both support the same resolution range, quality settings, transparent backgrounds, and multi-turn editing. Start with Flare when speed matters, then render the final with Sunburst when quality matters.

What it improves over GPT Image 2

ChatGPT Images 2.5 brings four main improvements over GPT Image 2:

1. Sharper detail and more natural lighting and textures. Surfaces, edges, and materials look more realistic.
2. More precise editing. It is better at changing only what you asked and leaving the rest alone.
3. Better multi-turn consistency. Earlier edits are more likely to stay stable during later edits.
4. Better reference-subject preservation. Faces, products, and distinctive features carry through more reliably into new settings and styles.

GPT Image 2

ChatGPT Image 2.5

This model also works with image inputs for guided editing and multi-turn refinement, which makes upload-driven and iterative editing possible.

These are improvements, not guarantees. Repeated edits can still change details you wanted to keep, exact text still needs checking, and pixel-identical preservation still requires a design tool.

Where It Fits Next to Other Models

The table below compares the image models available in PhotoGPT. The key difference is how much control you get over editing and iteration.

We recommend ChatGPT Images 2.5 when you need to generate an image, edit it, and edit it again without the subject or style drifting. That is the main reason to use it for client work, product catalogs, campaigns, and any workflow where the first image is not the final image.

How GPT Image 2.5 Reads a Prompt

ChatGPT Images 2.5 reads your prompt as a brief, not a keyword list. It treats the whole description as one coherent instruction. It is designed to preserve parts you do not ask to change, and Images 2.5 is substantially better at doing this than previous versions. The better your brief, the closer the output is to what you imagined.

The brief format we use is built on eight fundamentals. They are the same whether you are generating a headshot, a product shot, or a campaign asset, and they are especially important for ChatGPT Images 2.5 because of its editing and consistency strengths.

1. Define the result. Name the asset type, the audience, and the use case. Example: a product photograph for an Instagram ad, or a headshot for a LinkedIn profile.
2. Choose a maintainable format. One paragraph, layered description, or section-by-section list. The format does not matter. What matters is that the prompt is easy to read and edit.
3. Describe visible details. Materials, lighting, colors, visual medium, framing, and texture. Camera specifications are cues for appearance, not exact physics.
4. Specify people and actions. Body framing, scale, gaze, pose, and interaction with objects. The model follows these as instructions, not suggestions.
5. Specify exact text. Put required wording in quotes. Describe placement and typography. Ask for no extra text. Inspect the output.
6. Separate changes from constraints. For edits, say what changes and what stays the same. The list of what stays is as important as the list of what changes.
7. Assign roles to reference images. When you pass multiple images, label each one by number and state its purpose: style, subject, clothing, background, product.
8. Iterate deliberately. Make one change at a time. Pass the previous output forward. Repeat critical constraints. Inspect each result.

The skill is not memorizing keywords. It is learning to name what you want, what you do not want, and what must stay the same.

The Brief Format: What every prompt needs

Every strong prompt contains the same seven pieces. The order does not matter, but each piece should be present.

1. Subject. Who or what is in the frame. Include materials, colors, shapes, and defining details.
2. Setting / scene. Where the subject is and what surrounds it.
3. Composition. Shot type, angle, placement, and what the viewer sees first.
4. Style / mood / color. The visual medium, palette, and emotional feel.
5. Lighting. The source, direction, hardness, and color of the light. For a deep dive on lighting styles, see the Complete Lighting Prompt Guide.
6. Camera / lens. Focal length, aperture, depth of field, and film or sensor cues. For a full breakdown of shot types and camera language, see the Complete Camera Shots Prompt Guide.
7. Constraints. Aspect ratio, exact text, what to avoid, and what must stay unchanged. Set the resolution in your dashboard if the interface supports it.

The last part is the one most people skip. Constraints turn a description into a brief. They tell the model what the image is for and what it must not do.

Three ways to write the same brief

This same fashion editorial can be written in three ways. Choose the one that matches the image you are making and the tool you use to store your prompts.

One paragraph. Fast, single-subject images.

Low-angle 24mm European fashion editorial of a woman in a burgundy mini dress, sheer black tights, knee-high black boots, and dark brown faux-fur coat on a monumental Baroque staircase. Huge fresco ceiling, arched windows, chandeliers. Hard late-afternoon window sunlight, golden patches, deep unrecovered shadows, cool blue windows, dirty amber interior, slightly underexposed, muted film colors, crushed blacks, subtle grain, 1970s–1990s analog look, candid not glossy, vertical 4:5.

Layer by layer. Use this when the environment is as important as the subject.

Low-angle 24mm European fashion editorial on a monumental Baroque staircase.

Foreground: a woman in a burgundy mini dress, sheer black tights, knee-high black boots, and a dark brown faux-fur coat, standing on the staircase. Hard late-afternoon window sunlight catches her face and legs, deep unrecovered shadows behind her.

Midground: the sweeping stone staircase with a polished wooden handrail, ornate balusters, and candlelit chandeliers. Arched windows with cool blue light against the dirty amber interior.

Background: a huge domed fresco ceiling with gilded stucco and towering arched windows. Gold light patches and deep shadows.

Camera: 24mm, low angle, vertical 4:5.

Lighting: hard late-afternoon window sunlight, golden patches, cool blue windows, dirty amber interior, slightly underexposed.

Style: 1970s–1990s analog look, muted film colors, crushed blacks, subtle grain, candid not glossy.

Section by section. Use this for complex images where each part needs its own line. It makes the prompt easy to edit later.

Subject: a woman in a burgundy mini dress, sheer black tights, knee-high black boots, and a dark brown faux-fur coat, standing on a Baroque staircase.
Setting: monumental Baroque staircase, huge fresco ceiling, arched windows, chandeliers, gilded stucco.
Composition: low angle, woman centered on the staircase, looking off frame.
Camera: 24mm wide angle, low angle, vertical 4:5.
Lighting: hard late-afternoon window sunlight, golden patches, deep unrecovered shadows, cool blue windows, dirty amber interior, slightly underexposed.
Style: 1970s–1990s analog look, muted film colors, crushed blacks, subtle grain, candid not glossy.
Constraints: vertical 4:5, no extra text.

All three contain the same seven parts. The format is a matter of what is easiest for you to read, update, and reuse.

Edit Images: ChatGPT Image 2.5 is best for editing

These are image-to-image workflows. You start with an input image and change one thing at a time. Each subsection below is a different edit with a prompt pattern that makes it work. Open the GPT Image 2.5 editor to try these patterns.

The pattern for every edit: name the change, name the new light / setting / object / look, then list what must stay exactly the same.

Change the lighting

When to use it: you want the same scene to feel like a different time of day, mood, or season without changing the subject.

Key words to use: new light source, direction, hardness, color, and what must stay unchanged.

Light is the fastest way to change the mood of an image. For edits, name the new light source, its direction, its hardness, and its color. Then say what must stay unchanged.

Change only the lighting and color grade to a dramatic golden-hour sunset look: warm orange sunlight from the side, glowing clouds, rich amber highlights, deeper soft shadows, slightly darker overall exposure, cinematic warm contrast. Keep the subject, face, pose, clothing, background, composition, camera angle, proportions, and every detail exactly unchanged.

Why this works: Change only the lighting and color grade tells the model to change only light. Then it lists the new light qualities: warm orange sunlight from the side, glowing clouds, rich amber highlights, deeper soft shadows. The constraint Keep the subject, face, pose, clothing... exactly unchanged locks everything else.

Watch for: the subject's appearance changing, the face or proportions shifting, or the lighting looking like a filter rather than real sunset. If that happens, restate what must stay unchanged and make the light description more specific.

Midday

Golden hour

Change the background or setting

When to use it: the subject is good but the surroundings need to change, or you want to place the subject in a new context.

Key words to use: new setting, new clothing or pose (if needed), what stays unchanged, and do not change the subject.

This is the most common edit. The subject stays the same; the surroundings change. Sometimes the wardrobe or pose changes too. The trick is to list what stays unchanged, especially the face and identity. Describe the face with concrete, slightly imperfect details instead of generic beauty words. That helps the model preserve a real person instead of generating an AI-looking face.

Edit prompt

Change the setting to a boxing gym with a dark red wall behind her. Change her clothing to a black t-shirt and white boxing hand wraps on both hands, fists up in a ready stance. Add pure red-toned background, strong shadows. Her expression is focused and intense. No extra text, no logos.

Why this works: The prompt leads with Change the setting to... and Change her clothing..., naming the new environment and wardrobe. The ending constraint No extra text, no logos stops unwanted additions. For a real identity edit, you would add a Keep sentence such as Keep her face, hair, skin tone, and body proportions exactly the same. Do not change her identity.

Watch for: the face changing, the lighting on the subject changing, or the pose becoming awkward. If the identity drifts, restate the facial details and say preserve exact likeness. If the new background light does not match, describe the light source and shadow direction explicitly.

Add a hand or model to a product

When to use it: you have a product-only shot and want to turn it into a campaign image with a human element.

Key words to use: exactly as-is, preserve its shape, proportions, materials, colors, branding, label text, logo, cap, packaging, do not redesign or alter the product, partial female model holding it naturally near her face, realistic hand anatomy, grip, scale, finger contact, shadows, occlusion.

Adding a hand or partial model to a product is one of the most useful product edits. It turns a static product shot into a campaign image. The hard part is keeping the product unchanged while matching the skin, lighting, grip, and scale.

Edit prompt

Use the uploaded product exactly as-is. Preserve its shape, proportions, materials, colors, branding, label text, logo, cap, and packaging.

Add a partial female model holding it naturally near her face, with realistic hand anatomy, grip, scale, finger contact, shadows, and occlusion. Keep branding visible.

Premium beauty campaign, natural skin texture, elegant nails, clean white/ivory studio background, soft commercial lighting, realistic reflections, 85mm lens, product in sharp focus, face slightly softer, ultra-realistic, ultra HD.

Do not redesign or alter the product. No extra text or watermark.

Why this works: The prompt starts with preservation: Use the uploaded product exactly as-is, Preserve its shape, proportions..., then Do not redesign or alter the product. Then it adds the new human element: partial female model holding it naturally near her face, with details for hand anatomy, grip, scale, and finger contact. The camera and lighting line (85mm lens, product in sharp focus, face slightly softer) tells the model to keep the product as the hero.

Watch for: the product shape, logo, or label changing, the hand looking pasted on, the skin tone or lighting not matching, fingers merging into the product, or the face distracting from the product. If the product drifts, restate do not redesign or alter the product and list what must stay. If the hand looks fake, describe the grip and finger placement precisely.

Beauty product

Slime product

Turn a sketch into a realistic image

When to use it: you have a sketch, croquis, or concept drawing and want a photorealistic version. The sketch only shows layout and proportions. The prompt must fill in what the sketch cannot show: materials, environment, light, camera, and style.

The formula

Turn this [sketch / sketches] into a realistic [TYPE] photograph. Preserve the exact [CORE TO PRESERVE]. Add real [MATERIALS / FINISHES] for [PARTS]. Place [SUBJECT / SCENE] in [SETTING]. [LIGHTING]. Camera: [CAMERA]. [STYLE]. No extra text, no logos.

• [TYPE] - outfit fashion, place, interior, architecture, product.
• [CORE TO PRESERVE] - pose, proportions, and outfit design for fashion; layout, proportions, and properties for places and objects.
• [MATERIALS / FINISHES] - real fabric, concrete, glass, wood, metal.
• [PARTS] - the parts the sketch shows, e.g. dress, coat, building facade.
• [SETTING] - the environment or background the sketch implies.
• [LIGHTING] - source, direction, time of day.
• [CAMERA] - lens, shot type, focus.
• [STYLE] - look, palette, era.

If you leave the brackets empty, the model will invent the materials, setting, and style. The more brackets you fill, the less the model has to guess.

Example 1: outfit fashion

turn this sketches into realistic outfit fashion photograph. Preserve the exact pose, proportions, and outfit design.

Why this works: The core phrase Preserve the exact pose, proportions, and outfit design tells the model the sketch is a spec, not a style reference. The rest of the brackets can be filled with materials, setting, lighting, camera, and style to prevent the model from guessing.

Example 2: place

turn this sketch into realistic place photograph. Preserve the exact layout, properties.

Why this works: Preserve the exact layout, properties locks the geometry. To stop the model from inventing the building materials and environment, add the missing bracketed details.

Watch for: the pose changing, the proportions shifting, the layout drifting, or the materials looking wrong. If the sketch is not followed, restate preserve the exact [pose/proportions/outfit design or layout/proportions/properties] and fill in more materials, lighting, and setting details.

Fashion sketch

Architecture sketch

Remove or add an object

When to use it: you need to remove a distraction, add an object, or add a small detail to the scene.

Key words to use: remove the [object], add [object/detail], keep [everything around it] exactly the same, without any extra edits, make it look natural.

This is the most local edit. Name the object or detail and say what happens to it. Preserve everything around it so the change does not feel like a patch. The prompts can be very simple when the change is obvious.

Remove an object

Example 1: remove the camera

remove the camera

Example 2: remove the man

remove the man

Camera removed

Man removed

Add an object

Example 1: add a beard and glasses

Add beard to the man and give glasses to dog

Example 2: add shooting stars

add shooting stars without any extra edits

Beard and glasses

Shooting stars

Watch for: the area around the removed object looking blurry or filled with the wrong texture, the added object or detail looking pasted on, or the added object casting the wrong shadow. If the edit looks patched, describe the surrounding context more precisely or add without any extra edits.

Combine references and preserve identity

When to use it: you have multiple images and need to take the subject from one, the scene from another, or the style from another. The same idea also works for video when you import a video scene.

Key words to use: use [subject/style] from image [n], place [subject] into [scene], preserve [feature], keep [feature] exactly the same, do not change [identity/appearance], match the light / color temperature.

This is the most advanced edit. You pass multiple images and tell the model what each one is for. Use numbered labels and be specific about what to keep and what to take.

Example 1: place a person into a scene

Edit prompt:

place the person in Image 1 into scene Image 2 which is a scene. Preserve the man’s expressions and pose. It should look like he is triggering the Rocket

Why this works: The prompt assigns a role to each image: Image 1 is the person, Image 2 is the scene. It then states the preservation constraints (Preserve the man’s expressions and pose) and the action (It should look like he is triggering the Rocket).

Example 2: Identity preservation perfection of GPT Images 2.5

Edit prompt:

place the person in Image 1 into scene Image 2 which is a scene. Preserve the man’s expressions and pose. It should look like he is triggering the Rocket

Why this works: The preservation and action instructions stay the same; only the accessories, background are changing.

Watch for: the face changing, the body proportions shifting, or the action looking disconnected from the scene. If the identity drifts, restate the facial details and say preserve exact likeness. If the style or motion reference overwhelms the subject, describe the style in terms of color, grain, and light rather than naming a decade or photographer.

Multi-turn Workflows

Multi-turn editing is where ChatGPT Images 2.5 becomes a production tool. The rule is simple: make one change at a time, pass the previous output into the next request, and re-state the constraints that must survive.

Build a product campaign from one shot

One product photograph can become a full campaign. Each turn adds one thing.

Turn 1: Create a product photograph of a white leather low-top sneaker with a gum sole, centered on a neutral grey background. Soft overhead light, subtle shadow. 1:1.

Turn 2: Remove the background and make it fully transparent. Keep the sneaker, laces, sole, and shadow exactly as they are. PNG output.

Turn 3: Place the sneaker on a rocky mountain trail at golden hour. Keep the sneaker and its shadow exactly the same. Match the new background light.

Turn 4: Add the text 'Off-Trail' in bold sans-serif, centered below the sneaker. Render it once, clearly and legibly. No extra text, no watermarks.

Watch for: drift at every turn. If the sneaker starts to lose shape or the text is wrong, go back to the last good version and restate the constraints.

Keep a character consistent across scenes

Start with a strong character reference, then place the same person in different scenes. Repeat the defining details every turn.

Turn 1: A waist-up portrait of a young woman on a rooftop at dusk, city skyline behind her. She has a wide nose with a small bump on the bridge, faint acne scars on her left cheek, and a small mole below her right ear. Her brown eyes are slightly asymmetrical. Her dark hair is cut in a blunt bob with uneven ends, dyed copper at the tips. She wears an olive green bomber jacket. Shot at 50mm, sharp focus on her eyes. 4:5.

Turn 2: Place the same woman on a misty forest path at dawn. Keep her face, hair, skin tone, and clothing exactly the same. Match the soft morning light.

Turn 3: Place the same woman in a neon-lit music venue. Keep her face, hair, skin tone, and clothing exactly the same. Add pink and blue stage light, but preserve her identity.

Watch for: the face changing between scenes. If it drifts, repeat the facial details and say preserve exact identity.

Create launch variations

For a product or campaign, generate a strong base image and then create variations by changing one condition at a time.

Turn 1: A product photograph of a white leather low-top sneaker on a rocky mountain trail at golden hour. 1:1.

Turn 2: Change the time of day to blue hour. Keep the sneaker, the trail, and the composition the same.

Turn 3: Change the season to winter, with light snow on the rocks. Keep the sneaker, the trail, and the composition the same.

Turn 4: Change the background to a city rooftop at sunset. Keep the sneaker and the same late afternoon light.

Watch for: the product losing detail or the lighting mismatching the new scene. If the product drifts, go back to the transparent cutout and start the next scene from there.

Create an Image from a Brief

A brief is not a wish list. It is a sentence with a fixed shape. Once you know the shape, you can write a long, controlled prompt, a compact one, or an ultra-short one. The model follows whatever you give it; the shorter the prompt, the more it has to invent.

The reusable template

[Image type] of [subject] [pose/action]. [Appearance/clothing/key details]. [Environment/background]. [Lighting direction + quality], [camera/framing/lens], [depth of field], [color/finish], [aspect ratio]. [Important exclusions].

Filled out, it looks like this:

"Photorealistic vertical portrait of [subject] standing [pose], looking [gaze/expression]. Wearing [clothing], with [distinctive details]. Set in [environment] with [background elements]. [Light type] from [direction], [lens/framing], [depth of field], [color treatment], natural texture, [aspect ratio]."

Each bracket maps to a part of the image. Fill more brackets, get more control.

Detailed prompt

Here is the same idea written with every bracket filled:

Photorealistic vertical portrait of a lean tattooed East Asian man standing three-quarter profile beside a floor-to-ceiling apartment window, looking calmly at the camera. Slicked-back black hair, short mustache and beard, small hoop earring, silver chain, black ribbed tank top, loose black tailored trousers, one hand in his pocket; dense black-and-gray tattoos covering his neck, shoulder and arm. Minimal high-rise apartment with soft gray walls, floating dark shelves and blurred city skyline outside. Soft overcast window light from the left, subdued neutral tones, shallow depth of field, 50mm editorial photography, natural skin texture, understated luxury, no dramatic posing, 9:16.

Word by word

• Photorealistic vertical portrait - Image type and aspect intent.
• lean tattooed East Asian man - Subject. Without this, the model may return a generic model.
• standing three-quarter profile beside a floor-to-ceiling apartment window, looking calmly at the camera - Pose, gaze, and action.
• Slicked-back black hair, short mustache and beard, small hoop earring, silver chain, black ribbed tank top, loose black tailored trousers, one hand in his pocket - Appearance and clothing. Each item controls a specific visual choice.
• dense black-and-gray tattoos covering his neck, shoulder and arm - Distinctive detail. This is what makes the subject specific.
• Minimal high-rise apartment with soft gray walls, floating dark shelves and blurred city skyline outside - Setting and background.
• Soft overcast window light from the left, subdued neutral tones, shallow depth of field - Lighting, color, and depth of field.
• 50mm editorial photography, natural skin texture, understated luxury, no dramatic posing - Camera, lens, style, and mood.
• 9:16 - Constraint (aspect ratio).

If you remove the subject line, the model will guess who to place in the scene. If you remove the lighting line, the window light and shadows will vary. If you remove the constraints, you may get a different aspect ratio or unwanted text. Every line controls a failure mode.

Compact version

Same brief in fewer words. The key details stay; the adjectives compress.

Lean tattooed man in a black tank and tailored trousers standing beside a floor-to-ceiling apartment window, three-quarter profile, calm gaze at camera, one hand in pocket; minimal gray high-rise interior, soft overcast side light, subdued neutral palette, shallow-depth 50mm editorial photography, natural skin texture, 9:16.

Ultra short version

The bare minimum. The model still understands the subject, pose, setting, light, and style, but it has more freedom on details like tattoos and furniture.

Tattooed man in black tank and trousers by a high-rise window, three-quarter profile, calm expression, soft overcast side light, minimal gray apartment, muted 50mm editorial portrait, shallow depth of field, photorealistic, 9:16.

Comparison

These three outputs come from the same brief. The detailed version gives the least room for invention. The ultra-short version gives the most.

Detailed

Compact

Ultra short

Model Parameters and Quality

Parameters are set outside the prompt, in the API or dashboard. They change what the model can do, but they do not change how to write the brief.

Flare vs. Sunburst

Start with Flare when speed and iteration matter. Switch to Sunburst for final delivery, exact text, identity preservation, and complex scenes.

Quality settings

auto, low, medium, high, xhigh, max. Start with medium or high. Use xhigh or max only when the output at high is not good enough and the longer generation time is acceptable. Higher quality does not always mean a better result.

Size and aspect ratio

Use standard sizes when possible: 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152, 3840x2160, 2160x3840. For custom sizes, both edges must be multiples of 16, the ratio must be no more than 3:1, and the total pixel count must be between 655,360 and 8,294,400. Sizes above 2560x1440 are experimental.

Background

Use background='transparent' for cutouts. Request PNG or WebP output. Always check the decoded alpha channel. A painted checkerboard is not transparency.

Check the Result and Fix Failures

Every output needs inspection. 2.5 reduces failures but does not eliminate them. Check the following before using an image:

• Text. Is it spelled correctly? Is it in the right position and font? Are there extra words or watermarks?
• Identity. For people, does the face match the reference? For products, does the shape, logo, and geometry match?
• Preservation. After an edit, are the parts you did not ask to change still the same?
• Geometry. Are product proportions and perspective correct? Does the object look physically plausible?
• Transparency. Is the alpha channel clean? Is the background actually transparent, not a checkerboard or solid color?
• Unwanted changes. Are there elements the model added on its own, like extra text, accessories, or background objects?

Common failures and fixes

When to stop prompting and use a design tool

Some tasks cannot be solved by a prompt alone:

• Legally critical text, like a brand name or legal disclaimer
• Pixel-identical product labels across variations
• Perfect alpha channels on hair, glass, or fur
• Multi-image layouts that must align exactly

In these cases, generate the base image in 2.5 and composite the final text or element in a design tool.

Start Leveraging the Capabilities of ChatGPT Images 2.5 Model

ChatGPT Images 2.5 is an iterative tool. The first image is rarely the final one. The skill is to write a clear brief, make one change at a time, and inspect each result.

To get the most out of it:

• Start with Flare for speed, then render the final with Sunburst
• Save prompts that worked and reuse them as templates
• Keep a good version before making risky edits
• Treat exact text and pixel-identical preservation as post-processing tasks when they matter
• Build a library of briefs for your most common asset types
• Generate your first image with GPT Image 2.5

The more you treat 2.5 as a brief-driven editor, not a one-shot generator, the closer your outputs get to what you imagined.

References

• Introducing ChatGPT Images 2.5 - OpenAI

• OpenAI image prompting guide for developers