Turn a rough idea into a working set of visuals without slowing the project down. Flare gives your BulkGen workflow a quick path from prompt or reference image to campaign drafts, product scenes, and ready-to-review variations.
GPT Image 2.5 Flare is selected by default. Create one image from a prompt and optional references here, or open the batch workspace when you need Variations, CSV, or Products.
Inside GPT Image 2.5
GPT Image 2.5 Flare is the production-friendly member of the family: capable enough for polished work, responsive enough for the decisions that happen before a final render.
A good image workflow rarely begins with one perfect prompt. Teams test framing, wording, color, subject treatment, and channel formats before they commit. Flare is designed for that active middle of the process, where each result should arrive quickly enough to shape the next instruction.
Use it in BulkGen for a single image, several alternatives from one brief, prompt lists from CSV, or reference-led product work. You can choose the canvas, quality, background, file format, and number of outputs before the request is sent, so the model fits the deliverable instead of forcing every job into one preset.
Flare helps you move through exploration, feedback, and production while keeping the important creative controls visible.
Give Flare the audience, message, layout, color language, and required objects, then create several directions for review. It is a useful bridge between a written concept and the first concrete conversation with a client or team.
Include a headline, label, sign, or short packaging phrase in the prompt instead of adding it as an afterthought. Quote the exact wording and describe its size, location, hierarchy, and visual treatment for a clearer target.
Explore photographic, illustrative, graphic, painterly, and product-focused directions from the same underlying idea. Details such as surface, light, camera position, print process, and palette are more useful than a vague request to make an image stylish.
Generate up to four results from one request or move into a batch workflow for larger prompt sets. Variations, CSV, and Products modes cover repeated concepts, row-specific briefs, and product references without changing the underlying model controls.
Add reference images and write the edit as a set of boundaries: what must stay, what may move, and what needs to be replaced. That structure works well for fast changes to scenery, styling, lighting, composition, or individual objects.
Keep the person's face, pose, crop, and clothing colors. Replace the empty setting with a restrained editorial studio, add a warm key light from camera left, and create soft contact shadows that match the subject.
Flare is a strong first choice when a project needs useful options now and still expects thoughtful art direction.
Create families of posts, covers, thumbnails, announcements, and event graphics sized for the channels where they will actually appear.
Explore seasonal sets, backdrop ideas, colorways, listing compositions, and early campaign treatments before investing in a final shoot or retouching pass.
Give stakeholders distinct visual routes to react to, then carry their feedback into the next prompt instead of debating an abstract written direction.
Give the model a hierarchy of decisions. A concrete prompt is easier to generate from, easier to review, and easier to revise.
Deliverable + subject + scene + layout + viewpoint + light + surfaces + palette + exact copy + constraints
Create a square launch graphic for a pocket-size wireless speaker. Place the speaker at a three-quarter angle on a low terracotta block, leave clean space above it, use soft window light and believable shadows, combine navy with muted coral, add a subtle screen-printed paper texture, and set the exact headline ‘SMALL SIZE. FULL SOUND.’ in bold condensed type across the top.
Start by saying whether you need a product hero, poster, thumbnail, illustration, or edit. This gives every later detail a clear purpose.
Describe where the subject, copy, foreground, background, and empty space belong. Simple spatial instructions often matter more than extra adjectives.
When a result is close, preserve the successful structure and adjust one decision at a time. Large rewrites make it harder to learn which instruction changed the image.
Use economical settings to choose a direction, then increase quality for typography, material detail, or the approved version that will leave the review stage.
The same three-step workflow works for one-off ideas and structured batch production.
GPT Image 2.5 Flare is selected when the page loads. Write one prompt, add supported reference images when needed, or open the batch workspace for larger jobs.
Describe the subject, context, composition, style, and constraints. Then choose the supported ratio and resolution for GPT Image 2.5 Flare, adding reference images only when the model allows them.
Submit the job, compare the GPT Image 2.5 Flare results, and regenerate with targeted prompt changes. Completed work is available in history for later review and download.
The current BulkGen controls let you balance creative intent, delivery format, rendering effort, and credit use for each GPT Image 2.5 request.
| Setting | Available choices |
|---|---|
| Quality | Low, Medium, High, XHigh, Max |
| Canvas size | 15 aspect ratios from 1:3 to 3:1, plus supported custom dimensions |
| Background | Auto, opaque, transparent |
| Output format | PNG, JPEG, WebP |
| Images per request | 1–4 images |
| Reference images | Up to 16 images across the request |
Flare and Sunburst use the same creation controls, but they belong at different points in the workflow. Flare keeps exploration moving; Sunburst is available when a demanding image deserves a more deliberate final pass.
| Model | Reach for it when | What you are choosing |
|---|---|---|
| GPT Image 2.5 Flare | You are finding the idea, filling a content queue, or testing several viable directions | A faster creative loop instead of the family's most exacting final pass |
| GPT Image 2.5 Sunburst | The direction is approved and reference fidelity, edit control, or finish carries more weight | More time and credits in exchange for the premium model's added capability |
Generation settings can improve the attempt, but they cannot replace a coherent brief, direct comparison with the references, or accountable human approval.
Treat generated lettering and fine detail as draft material until you inspect it at full size. Proofread copy and check labels, numbers, hands, logos, and repeated forms.
A reference communicates intent, not a mathematical lock. Critical identity, packaging, geometry, and layout details may still drift between results.
Two runs with the same brief can differ. Keep the prompt, model settings, and useful outputs together when a project depends on repeatability.
The BulkGen interface provides Low, Medium, High, XHigh, and Max quality choices. Auto is documented upstream but is not offered in the current selector.
Practical answers about access, credits, inputs, output controls, batch workflows, and responsible review.
Capabilities are based on official vendor material and the API documentation used by the BulkGen integration. App-facing controls may intentionally expose a smaller supported subset.
Open the generator above with GPT Image 2.5 Flare already selected, write your brief, choose the delivery format, and move from one idea to a reviewable result in the same workspace.
Generate with this model
