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GPT Image 2.5 Sunburst brings extra precision and tighter control across edits, with longer generation times. Built for production-ready campaign creative and polished product imagery.
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OpenAI: GPT-image-2.6 sunburst and GPT-image-2.6 flare now accessible in API
ByteDance just launched Seedream 5.5🚀 Outperforming GPT Image 2.5 Sunburst & Nano Banana 2.1 in both text rendering fidelity and visual realism. What's new: • Supports continued work on the same image across 100 rounds of editing. • Native transparent/translucent background export (Alpha channel) • Doubled usability for cinematic and office use cases vs. 5.0 Pro Seedream 5.5 is gradually rolling out across Dreamina, Doubao, Doubao Work, and Volcano Engine Ark.
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OpenAI is about to release new image models gpt image 2.6 flare and sunburst
Flare when you need it fast. Sunburst when every detail counts. Both GPT-Image-2.5 models are now live on DaVinci. Pick your speed, or use both. Open DaVinci and try ChatGPT Images 2.5
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Start with GPT-Image-2.5 Flare for most applications. Choose GPT-Image-2.5 Sunburst when you need extra precision and control across edits.
When image consistency takes priority, choose GPT-Image 2.5 Sunburst. OpenAI’s most capable model for image generation and editing. Available on Higgsfield.
GPT Image 2.5 supports image generation and editing on AI Gateway. 𝚊𝚠𝚊𝚒𝚝 𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚎𝙸𝚖𝚊𝚐𝚎({ 𝚖𝚘𝚍𝚎𝚕: "𝚘𝚙𝚎𝚗𝚊𝚒/𝚐𝚙𝚝-𝚒𝚖𝚊𝚐𝚎-𝟸.𝟻-𝚜𝚞𝚗𝚋𝚞𝚛𝚜𝚝", 𝚙𝚛𝚘𝚖𝚙𝚝: "𝙰𝙸 𝙶𝚊𝚝𝚎𝚠𝚊𝚢 𝚟𝚒𝚗𝚝𝚊𝚐𝚎 𝚜𝚒𝚐𝚗", }); Try now:
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We gave four frontier image editing models the same photo and 30 edits in a row: Ideogram 4.5 keeps most of the room intact, while the others drift, GPT Image 2.5 Sunburst most visibly. We've seen some interesting demos of multi-turn editing consistency from the latest image editing models, so we ran our own test: GPT Image 2.5 Sunburst, #1# on our Image Editing leaderboard, against Ideogram 4.5, FLUX 3 and Nano Banana 2.1. Our leaderboard scores single edits; this tests what happens when 30 consecutive changes stack up, with each model editing its own previous output through a 30-step real estate staging sequence: light the fire, add a sofa, repaint the walls, swap day for twilight, and more. Why are the final results so different? @ideogram_ai's Ideogram 4.5 and @bfl_ml's FLUX 3 edit locally. On small edits like adding a vase of tulips, we measured that they left 95% or more of the image essentially untouched. GPT Image 2.5 (Sunburst) re-renders most of the entire image on every edit, leaving only about a fifth of the image unchanged, so small shifts in colour and detail compound over turns. Nano Banana 2.1 sits in between: its edits stay local, but the rest of the image shifts slightly and gradually darkens.
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