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Night Tulips, Central Park, New York, 2000 • Hiroshi Watanabe •
🩷🤍🩷🌿Happy Friday🌿🩷🤍🩷 #tulips#
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a garden of tulips 🌷
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Korea and memory bulls "explaining" the selloff based on some tweaky fundamental "mix" story are funny to me. It's like saying red tulips and yellow tulips are somehow "importantly" different
I didn't want any flowers, I only wanted to lie with my hands turned up and be utterly empty. How free it is, you have no idea how free — the peacefulness is so big it dazes you, and it asks nothing, Sylvia Plath, from "Tulips" in Collected Poems
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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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.@tulipking has so much aura he doesn't need to aura trade tbh
#BitMart# will list Flying Tulip (FT) @flyingtulip_ on our digital assets platform on May 19, 2026 🤩 💰Trading pair: $FT/USDT 💎Deposit: 5/18/2026 9:00 AM UTC 💎Trading:5/19/2026 9:00 AM UTC Learn more:
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