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GPT Image 2.6 Flare: Fast Text-to-Image With GIF and SVG on Models and API | RunComfy

openai/gpt-image-2.6/flare/text-to-image

Type a prompt and GPT Image 2.6 Flare returns a crisp still, a short looping GIF, or an SVG vector within seconds, with dependable typography.

Shape of the generated image.
Output resolution tier.
Rendering quality. Higher tiers add detail and cost more.
How much the model plans the layout before drawing. Does not change the price.
File format of the result. gif returns a looping animation, svg returns a vector file.
GIF only: number of animation frames.
GIF only: how long each frame is shown, in milliseconds.
Idle
Price per output image by quality x resolution (1K / 2K / 4K): low $0.048 / $0.080 / $0.143, medium $0.080 / $0.138 / $0.238, high $0.095 / $0.159 / $0.285, xhigh $0.169 / $0.285 / $0.507, max $0.380 / $0.634 / $1.056. GIF output: about the image price x (1 + frame_count / 16), rounded up to $0.001 (9-frame medium 1K: $0.124). SVG output: the image price plus $0.015 to $0.016 (medium 1K: $0.095).

Introduction To GPT Image 2.6 Flare

OpenAI's GPT Image 2.6 Flare Text To Image returns finished images in seconds, with readable in-frame text and output up to 4K, plus looping GIF and vector SVG files.
Trading slow render loops for near-instant drafts, GPT Image 2.6 Flare helps marketers, designers, and product teams test many visual directions in one sitting.
For developers, GPT Image 2.6 Flare on RunComfy can be used both in the browser and via an HTTP API, so you don't need to host or scale the model yourself.
Ideal for: Ad Creative Drafts | Posters And Packaging Mockups | Animated Icons And Logos

OpenAI / GPT Image 2.6 Flare Text To Image#


GPT Image 2.6 Flare is the speed-first tier of the GPT Image 2.6 family. It reads long, detailed prompts faithfully and lays out scenes, styles, and lettering the way you describe them.


Beyond regular stills, GPT Image 2.6 Flare can return a looping GIF or a scalable SVG from the same prompt, which makes it handy for icons, stickers, and lightweight motion assets.


Highlights#


  • Fast turnaround: GPT Image 2.6 Flare is tuned for quick results, so you can iterate on a concept many times in a short session.

  • Faithful prompts: Layout, camera angle, lighting, and art style follow your wording closely, even with several subjects in the frame.

  • Readable text: GPT Image 2.6 Flare keeps headlines, labels, and menu boards legible, which suits posters, ads, packaging, and UI mockups.

  • Two separate dials: Quality changes rendering detail and price, while complexity only changes how much the model plans the layout.

  • Motion and vector output: In GPT Image 2.6 Flare, pick gif for a 2 to 16 frame loop or svg for a resizable vector file.

  • Flexible framing: Fifteen aspect ratios from 1:3 to 3:1, at 1K, 2K, or 4K.

Parameters#


ParameterRequiredTypeDefaultRange / OptionsDescription
prompt*Yes (*)String——Plain-language description of the image, including any text it should show.
aspect_ratioNoString1:11:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 2:1, 1:2, 3:1, 1:3, 9:21Frame shape, from square to 3:1 panoramas.
resolutionNoString1k1k, 2k, 4kOutput size tier.
qualityNoStringmediumlow, medium, high, xhigh, maxRendering effort; higher tiers cost more.
complexityNoStringhighlow, medium, highLayout planning before drawing; same price at every level.
output_formatNoStringpngpng, jpeg, webp, gif, svgStill image, looping GIF, or vector SVG.
frame_countNoInteger92 – 16GIF only: number of frames.
frame_duration_msNoInteger20020 – 2000GIF only: display time per frame in milliseconds.

Pricing#


Quality1K2K4K
low$0.048$0.080$0.143
medium$0.080$0.138$0.238
high$0.095$0.159$0.285
xhigh$0.169$0.285$0.507
max$0.380$0.634$1.056

Prices are per output image.


  • GIF output: about the image price × (1 + frame_count / 16), rounded up to the next $0.001. A 9-frame medium 1K GIF costs $0.124, and frame_duration_ms does not change the price.

  • SVG output: the image price plus $0.015 to $0.016. A medium 1K SVG costs $0.095.

  • Complexity never changes the price.

How to Use#


  1. Open GPT Image 2.6 Flare on its RunComfy model page.
  2. Write a prompt that names the subject, setting, style, lighting, and any exact words you want printed.
  3. Choose an aspect ratio, from 1:1 squares to 3:1 panoramas.
  4. Set resolution and quality; medium at 1K is the cheapest way to explore ideas.
  5. Lower complexity to low or medium for short, simple prompts to get results a little faster.
  6. For motion or vector files, set output_format to gif or svg and, for GIFs, adjust frame_count and frame_duration_ms.
  7. Generate with GPT Image 2.6 Flare, review the result, and refine the prompt or raise quality for the final version.

Prompt & Reference Tips#


  • Quote exact text: Put words you want rendered in quotes and say where they should appear.

  • Describe structure first: Mention layout and subject placement before style details so GPT Image 2.6 Flare plans the frame correctly.

  • Explore cheaply: Draft GPT Image 2.6 Flare runs at low or medium quality, then switch to high or xhigh only for the shots you keep.

  • Keep vectors simple: Flat shapes, bold outlines, and limited palettes convert best when GPT Image 2.6 Flare exports SVG.

  • Short GIF loops: Describe one small repeating motion, such as blinking lights or drifting snow, for clean animated loops.

  • Match ratio to channel: With GPT Image 2.6 Flare, use 9:16 for stories, 4:5 for feeds, and 16:9 for banners.

How GPT Image 2.6 Flare Text To Image compares to other models#


  • Versus GPT Image 2.6 Sunburst: Sunburst spends more time per image for finer detail, while GPT Image 2.6 Flare favors speed for everyday work.

  • Versus GPT Image 2.5 Flare: The 2.6 tier adds the complexity control and GIF and SVG output, based on publicly available information.

  • Versus typical diffusion image models: GPT Image 2.6 Flare tends to follow long instructions and render text more reliably, though style-specific fine-tunes may still lead on niche looks.

Related Models

gpt-image-2.5/sunburst/text-to-image

High-precision text-to-image for polished, production-grade visuals.

nano-banana-2-lite/edit

Fast, low-cost prompt-based image editing at a fixed 1K resolution.

qwen-image/text-to-image

Precise text rendering & multilingual edits for visual pros

wan-2-2/flash/text-to-image

Generate images fast from text prompts with Wan 2.2 Flash.

seedream-4-5/edit

Transform visuals with Seedream 4.5 for coherent, photoreal image creation and precise brand consistency.

flux-1-kontext/pro/edit

Edit images precisely and fast with FLUX Kontext Pro.

Frequently Asked Questions

What is GPT Image 2.6 Flare used for in text-to-image work?

GPT Image 2.6 Flare is OpenAI's fast tier of the GPT Image 2.6 family, built for turning prompts into finished images in seconds. Teams use GPT Image 2.6 Flare for ad drafts, social visuals, poster and packaging mockups, and quick concept rounds where speed matters more than maximum fidelity.

How well does GPT Image 2.6 Flare handle text inside images?

GPT Image 2.6 Flare is designed to render headlines, labels, and signage that stay readable, which makes it practical for posters, menus, ads, and UI mockups. For the best results with GPT Image 2.6 Flare, put the exact words in quotes and describe where they should appear in the frame.

Can GPT Image 2.6 Flare create animated GIFs or SVG files?

Yes. Set output_format to gif and GPT Image 2.6 Flare returns a looping animation of 2 to 16 frames, with frame_duration_ms between 20 and 2000 ms. Choosing svg makes GPT Image 2.6 Flare return a scalable vector file, which works best for icons, logos, and flat illustrations.

What is the difference between quality and complexity in GPT Image 2.6 Flare?

In GPT Image 2.6 Flare, quality (low, medium, high, xhigh, max) controls rendering detail and changes the price. Complexity (low, medium, high) controls how much GPT Image 2.6 Flare plans the layout before drawing; it can make detailed prompts more accurate but never changes the cost.

How does GPT Image 2.6 Flare compare with GPT Image 2.6 Sunburst?

Both share the same parameters, but GPT Image 2.6 Flare prioritizes fast turnaround while Sunburst spends more time per image for finer, steadier detail. A common workflow is to explore ideas on GPT Image 2.6 Flare and move the final prompt to Sunburst for delivery-grade artwork.

What resolution and aspect ratio limits does GPT Image 2.6 Flare have?

GPT Image 2.6 Flare outputs at 1k, 2k, or 4k and supports fifteen aspect ratios, including 1:1, 4:5, 9:16, 16:9, 21:9, and panoramic 3:1 or 1:3. Check the current RunComfy parameter panel for GPT Image 2.6 Flare if you need the exact pixel dimensions for a given ratio.

Can developers use GPT Image 2.6 Flare through the RunComfy API?

Yes. You can prototype GPT Image 2.6 Flare in the RunComfy model UI, then call the same model through the RunComfy API with identical parameters for production or automation. This lets you use GPT Image 2.6 Flare without hosting or scaling any GPU infrastructure yourself.

How much does it cost to generate with GPT Image 2.6 Flare on RunComfy?

GPT Image 2.6 Flare is billed per output image by quality and resolution, starting at $0.048 for low quality at 1K and $0.080 for medium quality at 1K, up to $1.056 for max quality at 4K. GIF output on GPT Image 2.6 Flare costs about the image price × (1 + frame_count / 16), SVG adds $0.015 to $0.016, and new users typically receive free trial credits to test it.

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Examples Of GPT Image 2.6 Flare