GPT Image 2 Is 24 Hours Old. /last30days Became an Expert and Wrote Me Perfect Prompts

OpenAI dropped GPT Image 2 yesterday. It jumped 250+ ELO on LMArena, the biggest single-release gap ever recorded in image generation. I ran /last30days on "Prompting GPT Image 2" to see what the community had already figured out. 86 seconds later it had pulled 29 Reddit threads, 19 X posts, 10 YouTube videos, 24 TikToks, 14 Instagram reels, 2 GitHub prompt libraries, and 1 Hacker News story. Then I told it to stop summarizing and start writing prompts. These are the five it gave me, and the images GPT Image 2 returned. What /last30days Learned Before Writing Anything 1. The LLM you pick changes the output. "This wasn't the case with previous image generators, but the LLM you select has a huge effect on GPT-imagegen-2 output. GPT-5.4 Thinking and GPT-5.4 Pro will produce much better images, especially for complex things. This is, of course, not intuitive or explained anywhere."- @emollick on X Switch to a thinking model before you rephrase. Highest-leverage move in the whole workflow and nobody documented it. 2. Put literal text in double quotes. Single most-cited prompting move in the 30-day window, confirmed by the OpenAI cookbook and stress-tested across r/StableDiffusion's menu, poster, and multi-panel threads. Quoting exact text engages the high-accuracy text rendering engine. Typography goes near-perfect. 3. It's the first image model that thinks. "Every other image model is diffusion plus prompt equals picture. This one plans, searches the web for references, critiques its own output, and iterates before rendering."- @bywaviboy on Instagram (49K views, 1,415 likes) Your prompts can carry way more context than they used to. The model reasons through them instead of embedding-matching. 4. The aspect-ratio hack nobody tells you. The API has no dedicated ratio control. Passing "2:1" alone fails 90% of the time. r/ChatGPT reverse-engineered the fix: append exact pixel dimensions in the prompt itself, like "Output in exactly 1774px x 887px (2:1 ratio) resolution landscape format." Top-rated practical hack of the 30-day window. 5. Prompt order is Scene, Subject, Details, Constraints. Plus the intended use (ad, UI mock, infographic, editorial photo) so the model picks the right polish level. Straight from the OpenAI cookbook. Sequential-weighting matters too: the first words carry the highest visual weight. Lead with style, not subject. 6. Text-to-image is magic. Reference-image editing is still broken. "It done really well in text to image, but if i give it a reference image, it will always overbake and produce a 1.5 result and have a yellow tint plus no prompt adherence at all."- r/OpenAI, "GPT image 2 weird weakness" For design-final work, generate fresh. Image-to-image still yellow-tints and loses instruction following. The Five Prompts It Wrote, And The Images GPT Image 2 Returned 1. Research-Result Mobile UI Mockup Dark-mode iOS screen showing /last30days' actual "All agents reported back" output as if it were a research reader app. Editorial typography, per-source accent colors, sparklines, cream on deep ink. 2. Editorial Magazine Cover Typography stress test. Every cover line quoted. Didone display serif on cream paper, newsstand trim at 300dpi. Designed to demo the "near-perfect text rendering" claim at scale. 3. Brand Identity Reveal Board For A Fictional Coffee Bar Noon and Co., six-panel grid: primary wordmark, reverse, monogram, tagline lockup, favicon system, real-world applications (cup, storefront awning, app icon). Vector-feeling marks on cream. The test was mark consistency across six panels in a single generation. 4. Photoreal Editorial Photograph, Hands Cutting A Blood Orange 50mm prime, morning kitchen light, Kodak Portra 400 rendering, weathered butcher block. Prompt includes a full believable-imperfection list: one stray seed, a juice bead on the thumbnail, a paper-cut, a single breadcrumb. Describing the photograph, not the fantasy. 5. Eight-Up Character Consistency Sheet The miracle demo. One prompt, one sheet, eight full-body shots of the same person across a week of real moments (commute, yoga, coffee meeting, late work, gallery, market, rainy walk home, brunch). Hand-labeled arrows, cream background, no grid. Previous image models needed seeds, LoRAs, or ControlNet for this. Here: one prompt. All Agents Reported Back Bonus: The Five Prompts, Ready To Paste Into GPT Image 2 Quick reminder before you paste any of these: switch ChatGPT to GPT-5.4 Thinking or GPT-5.4 Pro, and turn Thinking mode on in the composer. It matters more than any prompt change you will make. Prompt 1: Research-Result Mobile UI Mockup High-fidelity iOS UI screenshot, isolated on a warm off-white #F5F1EA paper backdrop with a soft long shadow beneath the phone. Straight-on device shot, pixel-perfect render at 1x, no reflections, no lens distortion. The aesthetic is editorial-meets-terminal: a beautifully designed research reader, in the spirit of Linear, Granola, Arc Browser, Superhuman, and Readwis