Sharper visual realism
Describe light, material, and atmosphere together
Use a concrete lighting direction, material finish, and camera distance to get a result that reads more like a considered image than a generic prompt response.
GPT Image 2.5 Flare
Create or revise product visuals, campaign directions, and social assets with GPT Image 2.5 Flare, OpenAI's fast default for high-quality image generation and image editing.
- Fast production
- Reference-guided
- Targeted edits
- Natural detail
- API variant
- Flare: fast default
- Use it for everyday generation and editing when you need strong quality with a shorter iteration loop.
- Image input
- Up to 16 references
- Give each reference a job: preserve a subject, product shape, palette, material, or composition.
- Resolution
- 1K / 2K / 4K
- Choose seven aspect ratios and PNG, JPEG, or WebP downloads for the destination you are making.
- Quality settings
- low, medium, high, xhigh, max
- Use lower settings to find a direction, then raise quality only when the brief is settled.
GPT Image 2.5 prompt examples
Examples that test a real production decision
These prompts ask for the details that usually cause rework: an approved product form, believable material and light, a protected subject, or one deliberate change across an established scene.
A campaign direction with room to adapt
Example prompt: Create a 3:2 spring launch image for a fictional travel journal: one red suitcase beside an open train window, soft morning light, an uncluttered left third for later copy, no text or logos.
A product scene that protects the object
Example prompt: Use the supplied bottle reference. Keep its silhouette, cap, and label proportion unchanged; place it on pale travertine with a single warm side light and a muted green backdrop. Do not add copy.
A clear direction for light and texture
Example prompt: Create a waist-up editorial portrait at a cafe window: overcast daylight from the left, navy wool jacket, warm wood table, true skin texture, shallow depth of field, and no visible brands.
References with separate responsibilities
Example prompt: Use image 1 only for the ceramic lamp's shape, image 2 for the blue glaze, and image 3 for the dining-room composition. Build one coherent evening scene; preserve the lamp's proportions and do not make a collage.
One targeted change, not a restart
Example prompt: Keep the person, camera angle, outfit, and framing unchanged. Change only the background from a bright studio to a rain-washed city evening with reflected street light.
What GPT Image 2.5 Flare is for
Fast enough for exploration, controlled enough for a brief
Flare is the practical choice when a team needs to get from a written direction to a credible visual quickly, then make focused revisions without losing the useful parts of the result.
Reference preservation
Keep the parts that already work
The workspace accepts up to 16 image inputs. State what each one controls, then name the product, subject, or composition details that must not move.
Targeted editing
Change a condition without rewriting the scene
Ask for one local change such as weather, background, color, or prop. Pair it with a short protected-details list so the model has a stable frame for the edit.
Multi-turn workflow
Iterate from a specific observation
After the first pass, preserve what passed review and change the visible failure only. This makes comparisons useful and prevents an otherwise good image from drifting.
GPT Image 2.5 Flare settings in Oeneo AI
These are the controls currently available in this workspace. The model's product claims and the settings you can submit are kept separate so a page never promises an unavailable option.
GPT Image 2.5 Flare settings in Oeneo AI
- Operations
- Text-to-image and reference-guided editing
- Reference limit
- Up to 16 images
- Resolution
- 1K, 2K, 4K
- Aspect ratios
- 1:1, 4:3, 3:4, 16:9, 9:16, 21:9, 9:21
- Download formats
- PNG, JPEG, WEBP
- Quality levels
- low, medium, high, xhigh, max
- Images per task
- Up to 4 images
How to use GPT Image 2.5
A prompt workflow for images you can review
A good first result starts with a clear decision about what matters, then uses each later request to fix one observed issue.
Name the non-negotiables
Start with the subject, purpose, composition, and any copy or product details that must be correct. Add mood and style after those constraints.
Assign reference roles
For each upload, say whether it controls identity, shape, material, palette, or framing. Do not leave a bundle of images unexplained.
Generate at the review stage
Use a lower quality while selecting a direction. Move to a higher setting after the composition, subject, and important details are stable.
Protect and refine
Write what to preserve before asking for a change. Inspect key copy, faces, hands, object geometry, and edges at the final delivery size.
GPT Image 2.5 use cases
Best for work where speed and continuity both matter
Use Flare when you are producing a family of credible directions, revising an established asset, or bringing a rough visual brief to a reviewable first pass.
Product and ecommerce imagery
Explore a product in several believable contexts while protecting its form, material cues, and approved label treatment.
Example: Place one approved bottle in a daylight shelf scene, a studio hero, and a seasonal campaign concept.
Campaign concepts and social creative
Turn a concise creative brief into several art-directed directions before investing in production or manual retouching.
Example: Make three visual routes for a launch: bright editorial, quiet product still life, and a night-time lifestyle frame.
Reference image editing
Revise background, time of day, a prop, wardrobe color, or lighting while explicitly protecting the elements that have already been approved.
Example: Keep an existing portrait and composition; replace only the office backdrop with a soft outdoor setting.
Creative and product prototypes
Give stakeholders a specific visual to react to instead of discussing an abstract moodboard or an untested prompt.
Example: Turn a written product story into an editorial key visual for an early presentation.
Before you publish
A stronger image model still needs a production check
The model can reduce routine rework, but it cannot validate the facts, rights, typography, or brand judgment needed for a finished asset.
Inspect at final size
Review the details that carry meaning
Check names, numbers, small text, labels, hands, faces, reflections, and object geometry at the actual export size, not only in a thumbnail.
Edit with a boundary
State both the change and the protected details
A vague revision can alter a good composition. Keep an explicit list of what must remain unchanged when making a local edit.
Clear your inputs
Use only references you have the right to use
Confirm permissions for recognisable people, brands, copyrighted work, and third-party product photography before uploading or publishing.
Know when to switch
Use Sunburst when edit precision outweighs speed
OpenAI positions the companion GPT Image 2.5 Sunburst variant for premium, precision-oriented work. Choose it when a difficult, local edit is the main decision.
GPT Image 2.5 Flare FAQ
GPT Image 2.5 Flare questions, answered
Flare or Sunburst, what each quality level costs, how reference images work, and how to write prompts that get the result you want.
What is GPT Image 2.5?+
GPT Image 2.5 is OpenAI's image generation and editing family behind ChatGPT Images 2.5. OpenAI describes sharper details, more natural light and textures, better reference-subject preservation, more reliable focused edits, and improved multi-turn consistency.
What is GPT Image 2.5 Flare?+
Flare is the fast, high-quality default API variant in the GPT Image 2.5 family. It is intended for everyday generation and editing such as creator content, product experiences, visual search, rapid prototyping, and high-volume workflows.
How is GPT Image 2.5 Flare different from GPT Image 2?+
Flare is the newer GPT Image 2.5 variant for a shorter, high-quality generation and editing loop, with sharper detail, more natural lighting and textures, stronger reference-subject preservation, and more reliable multi-turn edits. GPT Image 2 remains useful when you need its established detailed-instruction workflow; compare both on the same brief before choosing.
GPT Image 2.5 Flare vs. Sunburst: which should I use?+
Choose Flare for a fast high-quality generation and iteration loop. Choose Sunburst when a polished, precision-oriented edit matters more than speed, such as a campaign asset or a localized change that must preserve the rest of the image.
Can GPT Image 2.5 Flare use reference images?+
Yes. GPT Image 2.5 accepts image inputs. This workspace supports up to 16 references for Flare; tell the model which input protects subject identity, object form, material, palette, or layout.
Which GPT Image 2.5 quality setting should I choose?+
Start low while testing the brief. Use medium, high, xhigh, or max only after composition and protected details are correct, because higher quality settings increase the task's rendering work and credit cost.
How much does GPT Image 2.5 cost in Oeneo AI?+
The cost depends on generation versus editing, resolution, quality, and image count. Oeneo AI shows the current credit amount on the Generate button before submission and refunds failed tasks automatically.
How do I write a GPT Image 2.5 prompt?+
Lead with the subject and purpose, then specify composition, scene, light, material, palette, and constraints. For edits, name the one thing to change and list the identity, framing, product form, and other details that must remain intact.
Start with a clear creative decision
Try GPT Image 2.5 Flare on your own brief
Generate a first direction, use reference images when they carry important constraints, and refine the visible issue. New Oeneo AI accounts receive 10 starting credits.