Move from a written brief to usable visuals quickly with OpenAI's speed-focused GPT Image 2.5 model. Generate new images, direct edits with references, and produce multiple variations without leaving your PixBulk workspace.
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.
Model overview
Flare is the fast, high-quality model in OpenAI's GPT Image 2.5 family, designed for everyday image generation and responsive creative iteration.
OpenAI positions Flare as the default choice for most applications. It improves image quality over GPT Image 2 while cutting latency by 50%, so it fits workflows where a team needs to explore, compare, and revise ideas without waiting on a premium final-render path.
That balance makes Flare useful for social graphics, ecommerce concepts, rapid product visualization, visual search experiences, and high-volume content production. In PixBulk, the same model works for one-off generations and batch jobs, while quality, canvas shape, background, output format, and reference images remain explicit controls.
Flare is most valuable when speed must still leave room for art direction, readable text, repeatable subjects, and practical delivery formats.
Translate a detailed creative brief into presentation-ready directions without beginning from a blank canvas. Specify the layout, palette, typography, objects, and visual era, then generate alternatives while the idea is still fresh.
Ask for labels, headlines, signs, packaging copy, or sticker lettering as part of the composition. Clear wording, hierarchy, placement, and style instructions give the model a stronger target and make review easier.
Move between editorial illustration, photography, painterly scenes, graphic posters, and stylized product visuals. Describe materials, light, lens or medium, color relationships, and composition instead of relying on a short style label alone.
Use Variations when one prompt needs several options, CSV when every row has its own prompt, or Products when reference-led product imagery is the job. The selected quality and image count are priced before submission.
Upload one or more reference images and explain what should change and what must remain stable. Flare can support quick background, styling, composition, and object-level iterations while preserving the overall intent of the source.
Replace the simple background with a refined studio set, keep the subject identity and pose, preserve the wardrobe colors, and add soft editorial lighting with realistic shadows.
Choose Flare when creative throughput and quick feedback matter more than spending the longest time on a single premium render.
Develop post concepts, thumbnails, promotional cards, event graphics, and visual series in the aspect ratio required by the publishing channel.
Test settings, styling, backgrounds, seasonal directions, and listing compositions before committing time to final production or a photo shoot.
Turn a campaign theme into several visual territories that stakeholders can compare, annotate, and refine into a consistent direction.
A structured brief produces more controllable variations and makes each revision easier to diagnose.
Subject + action + setting + composition + lighting + materials + color system + exact text + delivery format
Design a square launch poster for a compact wireless speaker on a warm terracotta plinth, three-quarter product view, soft late-afternoon window light, tactile paper texture, navy and coral palette, headline ‘SMALL SIZE. FULL SOUND.’ at the top, clean editorial spacing, premium but playful art direction.
State the subject, required text, product details, dominant colors, and placement constraints before adding stylistic language.
Explain what sits in front, behind, beside, or inside another element so the model can reason about the composition.
Keep the stable parts of a successful prompt and change only the light, framing, copy, or material that needs improvement.
Use a lower tier for exploration and raise quality when the direction is approved and detail becomes more important than iteration speed.
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.
These are the settings currently exposed by the PixBulk integration. The generator remains the source of truth if provider capabilities change.
| Setting | Available choices |
|---|---|
| Quality | Low, Medium, High, XHigh, Max |
| Canvas shape | Square (1024 × 1024), portrait (1024 × 1536), landscape (1536 × 1024) |
| Background | Auto, opaque, transparent |
| Output format | PNG, JPEG, WebP |
| Images per request | 1–4 images |
| Reference images | Multiple images, subject to the current model input limit |
Flare and Sunburst share the GPT Image 2.5 control surface, but they optimize different moments in a production workflow. Start with the decision you need to make, not a universal model ranking.
| Model | Best for | Primary tradeoff |
|---|---|---|
| GPT Image 2.5 Flare | Rapid concepts, social assets, product drafts, high-volume creative iteration | Optimized for speed rather than the family's highest precision |
| GPT Image 2.5 Sunburst | Precise edits, premium product imagery, campaigns, demanding final assets | More generation time for greater capability and control |
Use the model as part of a reviewed creative workflow. Quality settings improve rendering effort, but they do not replace a clear brief or human approval.
Text and small visual details still require review. Check every word, number, label, logo, hand, and repeated object before publishing.
Reference images guide the result but do not guarantee pixel-identical identity, layout, product geometry, or brand consistency across every run.
Generation is probabilistic. Save the prompt and settings that matter, then compare several outputs when consistency is important.
PixBulk exposes Low, Medium, High, XHigh, and Max. OpenAI also documents an Auto option, but it is intentionally not part of the current PixBulk 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 PixBulk 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.
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