Create raster graphics, transparent PNGs, native animated GIFs, and vector SVGs with GPT Image 2.6 on GPTImage.ai. Adjust quality, planning complexity, and up to 16 reference images in one workspace.
Start with the task you need
Compare Flare and Sunburst below, or copy one of the six 2.6 prompt starters for posters, reference edits, animated GIFs, or vector SVGs.
GPT Image 2.6 builds on the 2.5 generation architecture with two major creative expansions: native animated gif sprite-sheet output and native editable svg vector generation, alongside a dedicated complexity planning parameter and 32,000-character prompt capacity.
Two core variants serve different priorities: Flare focuses on fast, efficient everyday creation, while Sunburst maximizes detail fidelity for multi-reference editing, typography, and intricate scenes. Read our GPT Image 2.6 release breakdown or compare with the previous GPT Image 2.5 guide.
Choose Flare or Sunburst for your task
Flare gives you lower per-image base credits and faster turnaround for concept exploration, social visuals, and rapid iterations. Sunburst prioritizes strict reference preservation, fine textures, and complex multi-subject compositions.
Both variants support 16 aspect ratios, 1K/2K/4K resolution, 6 quality levels, 3 complexity levels, and all five output formats (PNG, JPEG, WebP, GIF, and SVG).
GPT Image 2.6 Flare vs Sunburst comparison
Consideration
Flare
Sunburst
Core positioning
Fast, cost-efficient everyday generation and edits
Upstream API callers map GPT Image 2.6 endpoints separately for text-to-image and image-to-image. Use the generation guide for schema details; on GPTImage.ai, simply pick Flare or Sunburst from the generator dropdown.
gpt-image-2-6/flare-text-to-image
gpt-image-2-6/flare-image-to-image
gpt-image-2-6/sunburst-text-to-image
gpt-image-2-6/sunburst-image-to-image
Upgrading from GPT Image 2.5
All 2.5 workflows transfer cleanly to 2.6, with three key additions: use complexity to give the planner extra reasoning budget without changing quality tiers, switch to svg for clean brand marks (or try the dedicated AI Logo Generator), and use gif for looping micro-animations.
How to create with GPT Image 2.6
Define your target output format first, because format dictates which options apply. Standard raster deliverables use PNG, JPEG, or WebP; logos and icons benefit from SVG; looping stickers or motion icons use GIF.
Select GPT Image 2.6 Flare or GPT Image 2.6 Sunburst in the homepage generator.
Write your prompt (up to 32,000 characters) and optionally upload up to 16 reference photos.
Pick Output Format (PNG, JPEG, WebP, GIF, or SVG), Quality (low to max), and Complexity (low/medium/high).
For PNG/WebP, optionally set Transparent Background. For GIF, pick frame size (512×512 or 768×768), frame count, and frame duration. For SVG, choose the vector author model.
Review the live credit estimate, generate, and download your file with its true native extension.
See the prompting guide for structured prompt layouts, or adjust parameters in the generator to see live credit recalculations.
Six prompt starters for GPT Image 2.6
Copy any starter below and customize the subject, palette, or motion cues. Remember to match the output format and controls in the generator.
Precision product scene edit (Sunburst)
Reference needed
Upload 1–2 clear photos of your product.
Suggested settings
Format: PNG or WebP · Quality: High · Complexity: High · Ratio: 3:4
Place the product from the reference photo onto a warm travertine stone plinth inside a sunlit minimalist studio. Preserve the exact bottle silhouette, metallic cap texture, label typography, and brand colors. Cast a soft natural morning shadow to the right and leave clean negative space in the upper third for a headline.
What to check: Inspect the label lettering, cap reflection, and edge contact shadows against the stone surface.
Create a seamless looping animation of a cute enamel-pin style coffee cup character gently steaming and blinking happily, centered on a clean cream background. Smooth squash-and-stretch motion, consistent line weight across all frames, and crisp flat vector shading.
What to check: Verify the loop continuity between the last and first frames and ensure no jitter in static elements.
Design a clean geometric vector emblem of a stylized origami fox combined with a crescent moon. Use bold minimal paths, strictly three solid colors (deep navy, burnt amber, warm ivory), balanced negative space, and sharp bezier curves with no photographic gradients or textures.
What to check: Open the downloaded .svg in a vector editor or browser to inspect path cleanliness and layer separation.
Design a Swiss-modernist exhibition poster featuring a bold Bauhaus architectural collage in cobalt blue, vermilion red, and warm paper white. Include exact crisp typography: top headline "FORM & LIGHT 2026", subheading "ARCHITECTURAL GRAPHICS EXHIBITION", and footer "NOV 14 – DEC 20 · GALLERY 4". Generous margins and balanced grid alignment.
What to check: Verify every character, date, and alignment line before exporting.
Transparent sticker / UI asset (Flare)
Reference needed
None.
Suggested settings
Format: PNG or WebP · Background: Transparent · Quality: High
Create a single glossy isometric 3D crystal prism badge with subtle iridescent cyan and violet refractions, centered with generous padding and a clean crisp silhouette. Keep the background completely transparent with zero floor shadow or checkerboard.
What to check: Test the downloaded PNG or WebP alpha channel over both dark and light UI surfaces.
Multi-reference style & character blend (Sunburst)
Format: PNG · Quality: High · Complexity: High · Ratio: 16:9
Combine the character identity from reference 1 with the tailored olive trench coat from reference 2, standing inside the rainy neon-lit cyberpunk bookstore from reference 3. Maintain facial likeness, natural fabric folds, and cohesive wet reflections on the glass storefront.
What to check: Compare facial likeness and outfit details against each source reference.
Quality, Complexity, GIF & SVG rules
GPT Image 2.6 enforces strict mutually exclusive parameter rules depending on your chosen output format. GPTImage.ai automatically handles these constraints in the UI and strips incompatible fields on the backend.
Understanding the difference between quality and complexity helps you optimize cost: Quality controls rendering fidelity and token density (and scales credit cost), whereas Complexity adjusts structural reasoning effort during generation without adding extra credit charges.
GPT Image 2.6 output controls and constraints
Control / Feature
Supported values & constraints
On GPTImage.ai
Quality (6 levels)
low, medium, high, xhigh, max, auto
Scales credits (0.85× to 2×)
Complexity (3 levels)
low, medium, high
0 extra credit surcharge
16 Aspect Ratios
1:1 to 21:9, plus 27:16, 16:27, 9:8, 8:9 (1K only for extended ratios)
Disabled when format is GIF
Transparent Background
transparent / opaque / auto
PNG and WebP only
Output Compression
0 to 100%
JPEG and WebP only
Native GIF Sprite Sheet
auto, 512×512 (up to 27 frames), 768×768 (up to 12 frames), 50–1000 ms/frame
Why is 768×768 GIF capped at 12 frames? Upstream sprite sheets enforce a 3,840 px max side and 8,294,400 total pixel budget. Our generator automatically clamps frames to keep every GIF request valid.
Generated SVGs are stored safely on our CDN and served with strict security headers during download.
How GPT Image 2.6 credits work
Standard quality is 20/30/40 credits for Flare and 24/36/48 credits for Sunburst at 1K/2K/4K. The generator shows the final price for Low, High, Ultra, and Max before you submit, so you never need to calculate a multiplier.
Vector SVG is one flat fee: +4 credits on any SVG model. A GIF uses the 1K price plus a frame tier (up to 8 frames +4, 9–12 frames +8, 13 or more +12) and +4 more for a 768×768 canvas. Complexity never changes the price.
Check exact numbers live in the generator or review our pricing plans and credit packs. Failed tasks are automatically refunded.
Result verification checklist
Inspect raster images at 100% zoom for text accuracy, edges, and product labels. For transparent PNG/WebP files, preview against both dark and light canvases.
For animated GIFs, check frame pacing and ensure the loop closes smoothly. For vector SVGs, open the downloaded file in a browser or vector editor (Illustrator, Figma, Inkscape) to verify clean scalable paths.
GIF output vs Image-to-Video MP4
GPT Image 2.6 can natively output short looping gif animations directly from prompts or reference images—great for UI badges, stickers, and icons.
For full 5-second 720p cinematic motion with camera movement, generate a high-resolution PNG or WebP still first and click Animate This Image to run our dedicated image-to-video workflow.
Frequently asked questions
What is the biggest upgrade in GPT Image 2.6 compared to 2.5?
GPT Image 2.6 introduces native looping GIF sprite-sheet generation, native vector SVG export, a separate complexity control, up to 32,000-character prompts, and 16 aspect ratios including wide/tall formats.
Should I choose Flare or Sunburst?
Start with Flare for fast ideation, GIFs, SVGs, and everyday visuals. Choose Sunburst for complex multi-reference product edits, intricate typography, and maximum fidelity.
Does changing Complexity increase my credit cost?
No. Complexity (low, medium, high) adjusts generation planning without changing your credit charge. Only variant, resolution, quality, SVG model, and GIF frame tier affect credits.
Why is Transparent Background unavailable for JPEG, GIF, and SVG?
Per the upstream 2.6 specification, alpha transparency is supported only on PNG and WebP outputs. Vector SVGs already have no raster background by nature.
How many frames can a GPT Image 2.6 GIF have?
With 512×512 frames you can generate up to 27 frames (or choose Auto). With 768×768 frames, the pixel budget allows up to 12 frames.
Can I edit the generated SVG files in Figma or Illustrator?
Yes. Selecting SVG output downloads a real .svg vector file rather than a rasterized PNG.
Sources and references
Documentation and parameter specifications reviewed against live provider schemas and GPTImage.ai integration settings.
