{"slug": "gpt-image-2", "name": "GPT Image 2", "category": "ai", "category_name": "AI models and assistants", "description": "", "recommenders": 3, "commenters": 6, "warners": 0, "score": 3.378, "rising": 0.02, "first": "2026-04-21", "latest": "2026-09-08", "why": "I use gpt image 2 very heavily for my current project (ai UI design tool).", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 5, "neutral": 1, "compare": 2, "warn": 0}, "spark": [0, 0, 0, 0, 0, 1, 2, 1, 0, 0, 1, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "I use gpt image 2 very heavily for my current project (ai UI design tool).", "icon": false, "domain": null, "github_repo": null, "official_url": "", "pricing": "", "aliases": ["GPT Image 2", "gpt-image-2", "GPT-Image-2"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 793853840, "item_id": 49615865, "url": "https://news.ycombinator.com/item?id=49615865", "by": "jjcm", "date": "2026-09-08", "stance": "recommend", "quote": "I use gpt image 2 very heavily for my current project (ai UI design tool).", "excerpt": "I use gpt image 2 very heavily for my current project (ai UI design tool). The biggest improvement I'm seeing with this is in speed. I've generated around 50k images with gpt-image-2 via api, the the average latency has held at around 104s. It's wild how much of a difference this is - images are coming in at around 35-40s. Very noticable, and makes a difference when you're iterating quickly: https://jjcm.org/gpt-imag", "context": "building an AI UI design tool", "use_case": "AI UI design image generation", "switched_from": "", "story": "ChatGPT Images 2.5"}, {"id": 774666368, "item_id": 48416648, "url": "https://news.ycombinator.com/item?id=48416648", "by": "jjcm", "date": "2026-06-05", "stance": "recommend", "quote": "I highly recommend doing image->code as the flow here.", "excerpt": "> Setup a Blog / Static site generator (Pelican), create a simple but stylish theme RE this one, I highly recommend doing image->code as the flow here. Codex's sites feature is doing this under the hood - it's rendering an image first with gpt-image-2, then building from it as a reference. You can use gpt-image-2 directly for this, though if I can plug my own stuff diffui.ai it's exactly what I made this for. It'll m", "context": "", "use_case": "generating design references for sites", "switched_from": "", "story": "Ask HN: What is your (AI) dev tech stack / workflow? (June 2026)"}, {"id": 770195010, "item_id": 48137188, "url": "https://news.ycombinator.com/item?id=48137188", "by": "bilater", "date": "2026-05-14", "stance": "recommend", "quote": "leveraging GPT-Image-2 for creating a comic book", "excerpt": "/goals on both codex and claude is insane. I gave Claude a full end-to-end task of creating a graphic novel. I've been thinking about this idea of leveraging GPT-Image-2 for creating a comic book for a while, but didn't have the time to do it, so I said screw it, let's see if the models can figure it out. I gave it full autonomy in choosing the story, artwork, and creating the end product. Here is a summary of the st", "context": "", "use_case": "generating comic page images", "switched_from": "", "story": "I let Claude autonomously create a graphic novel"}, {"id": 768631136, "item_id": 48039446, "url": "https://news.ycombinator.com/item?id=48039446", "by": "vunderba", "date": "2026-05-06", "stance": "recommend", "quote": "the results were surprisingly good as well", "excerpt": "Yeah, I agree, I think specificity is key. If you leave an LLM, or any AI model, to its own devices, it gravitates to the figurative \"mean of its training data\" which tends to be pretty sterile. I actually have some examples of my own comics that I used to put gpt-image-2 through its paces, and the results were surprisingly good as well: https://mordenstar.com/other/gpt-2-comics", "context": "", "use_case": "generating comics", "switched_from": "", "story": "Creating an animated manga with GPT Image 2.0 and Claude Code"}, {"id": 767021664, "item_id": 47938854, "url": "https://news.ycombinator.com/item?id=47938854", "by": "vunderba", "date": "2026-04-28", "stance": "recommend", "quote": "Gpt-Image in the editing benchmarks of my GenAI Showdown shot up from scoring 3/12 to 10/12.", "excerpt": "Nice article. From DALLE to the GPT Image series (1, 1.5, and now 2), it\u2019s crazy how much things have improved on the image model for OpenAI. Gpt-Image in the editing benchmarks of my GenAI Showdown shot up from scoring 3/12 to 10/12. The example on your site where it successfully creates/integrates valid QR codes and barcodes is pretty wild. I\u2019m curious how far this can go with extended thinking. From what I can tel", "context": "runs a GenAI image model benchmark", "use_case": "image generation and editing", "switched_from": "", "story": "Wild GPT-image-2 use cases"}]}], "caveats": [], "who": [{"by": "jjcm", "context": "building an AI UI design tool", "url": "https://news.ycombinator.com/item?id=49615865", "date": "2026-09-08"}, {"by": "vunderba", "context": "runs a GenAI image model benchmark", "url": "https://news.ycombinator.com/item?id=47938854", "date": "2026-04-28"}], "tags": [], "use_cases": ["image generation", "ai ui design image generation", "generating design references for sites", "generating comic page images", "generating comics", "image generation and editing"], "compared": [{"slug": "codex", "name": "Codex", "co": 2, "switched_from": 0, "switched_to": 0}, {"slug": "nano-banana", "name": "Nano Banana", "co": 2, "switched_from": 0, "switched_to": 0}], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=47852835", "title": "OpenAI Livestream", "mentions": 2}, {"url": "https://news.ycombinator.com/item?id=49614720", "title": "ChatGPT Images 2.5", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48413629", "title": "Ask HN: What is your (AI) dev tech stack / workflow? (June 2026)", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48137187", "title": "I let Claude autonomously create a graphic novel", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48037697", "title": "Creating an animated manga with GPT Image 2.0 and Claude Code", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=47937907", "title": "Wild GPT-image-2 use cases", "mentions": 1}], "sentiment_by_month": {"2025-11": {}, "2025-12": {}, "2026-01": {}, "2026-02": {}, "2026-03": {}, "2026-04": {"compare": 2, "neutral": 1, "recommend": 1}, "2026-05": {"recommend": 2}, "2026-06": {"recommend": 1}, "2026-07": {}, "2026-08": {}, "2026-09": {"recommend": 1}, "2026-10": {}}, "quotes": [{"id": 793853840, "item_id": 49615865, "url": "https://news.ycombinator.com/item?id=49615865", "by": "jjcm", "date": "2026-09-08", "stance": "recommend", "quote": "I use gpt image 2 very heavily for my current project (ai UI design tool).", "excerpt": "I use gpt image 2 very heavily for my current project (ai UI design tool). The biggest improvement I'm seeing with this is in speed. I've generated around 50k images with gpt-image-2 via api, the the average latency has held at around 104s. It's wild how much of a difference this is - images are coming in at around 35-40s. Very noticable, and makes a difference when you're iterating quickly: https://jjcm.org/gpt-imag", "context": "building an AI UI design tool", "use_case": "AI UI design image generation", "switched_from": "", "story": "ChatGPT Images 2.5"}, {"id": 774666368, "item_id": 48416648, "url": "https://news.ycombinator.com/item?id=48416648", "by": "jjcm", "date": "2026-06-05", "stance": "recommend", "quote": "I highly recommend doing image->code as the flow here.", "excerpt": "> Setup a Blog / Static site generator (Pelican), create a simple but stylish theme RE this one, I highly recommend doing image->code as the flow here. Codex's sites feature is doing this under the hood - it's rendering an image first with gpt-image-2, then building from it as a reference. You can use gpt-image-2 directly for this, though if I can plug my own stuff diffui.ai it's exactly what I made this for. It'll m", "context": "", "use_case": "generating design references for sites", "switched_from": "", "story": "Ask HN: What is your (AI) dev tech stack / workflow? (June 2026)"}, {"id": 770195010, "item_id": 48137188, "url": "https://news.ycombinator.com/item?id=48137188", "by": "bilater", "date": "2026-05-14", "stance": "recommend", "quote": "leveraging GPT-Image-2 for creating a comic book", "excerpt": "/goals on both codex and claude is insane. I gave Claude a full end-to-end task of creating a graphic novel. I've been thinking about this idea of leveraging GPT-Image-2 for creating a comic book for a while, but didn't have the time to do it, so I said screw it, let's see if the models can figure it out. I gave it full autonomy in choosing the story, artwork, and creating the end product. Here is a summary of the st", "context": "", "use_case": "generating comic page images", "switched_from": "", "story": "I let Claude autonomously create a graphic novel"}, {"id": 768631136, "item_id": 48039446, "url": "https://news.ycombinator.com/item?id=48039446", "by": "vunderba", "date": "2026-05-06", "stance": "recommend", "quote": "the results were surprisingly good as well", "excerpt": "Yeah, I agree, I think specificity is key. If you leave an LLM, or any AI model, to its own devices, it gravitates to the figurative \"mean of its training data\" which tends to be pretty sterile. I actually have some examples of my own comics that I used to put gpt-image-2 through its paces, and the results were surprisingly good as well: https://mordenstar.com/other/gpt-2-comics", "context": "", "use_case": "generating comics", "switched_from": "", "story": "Creating an animated manga with GPT Image 2.0 and Claude Code"}, {"id": 767021664, "item_id": 47938854, "url": "https://news.ycombinator.com/item?id=47938854", "by": "vunderba", "date": "2026-04-28", "stance": "recommend", "quote": "Gpt-Image in the editing benchmarks of my GenAI Showdown shot up from scoring 3/12 to 10/12.", "excerpt": "Nice article. From DALLE to the GPT Image series (1, 1.5, and now 2), it\u2019s crazy how much things have improved on the image model for OpenAI. Gpt-Image in the editing benchmarks of my GenAI Showdown shot up from scoring 3/12 to 10/12. The example on your site where it successfully creates/integrates valid QR codes and barcodes is pretty wild. I\u2019m curious how far this can go with extended thinking. From what I can tel", "context": "runs a GenAI image model benchmark", "use_case": "image generation and editing", "switched_from": "", "story": "Wild GPT-image-2 use cases"}, {"id": 766003840, "item_id": 47875240, "url": "https://news.ycombinator.com/item?id=47875240", "by": "filearts", "date": "2026-04-23", "stance": "neutral", "quote": "Now look at GPT Image 2 and Nano Banana Pro; those original nits are mostly a thing of the past.", "excerpt": "Lot's of comments are nit-picking on how this demo misses the mark on specific technicalities of domains they're familiar with. But that's totally missing the point: this is a demo of what seems like a totally new interaction model that could not previously have existed. It's a small glimpse at a possible future where those nit-picky details get better. Remember when image models produced grotesque hands? Now look at", "context": "", "use_case": "image generation", "switched_from": "", "story": "Website streamed live directly from a model"}, {"id": 765752097, "item_id": 47859506, "url": "https://news.ycombinator.com/item?id=47859506", "by": "justani", "date": "2026-04-21", "stance": "compare", "quote": "One where Nano banana fails but gpt image 2 worked", "excerpt": "I have a few cases where nano banana fails all the time, even gpt image 2 is failing. A 3 * 3 cube made out of small cubes, with a small 2 * 2 cube removed from it - https://chatgpt.com/share/69e85df6-5840-83e8-b0e9-3701e9233244 Create a dot grid containing a rectangle covering 4 dots horizontally and 3 dots vertically - https://chatgpt.com/share/69e85e4b-252c-83e8-b25f-416984cf3040 One where Nano banana fails but gp", "context": "", "use_case": "image generation", "switched_from": "", "story": "OpenAI Livestream"}, {"id": 765699601, "item_id": 47856225, "url": "https://news.ycombinator.com/item?id=47856225", "by": "neom", "date": "2026-04-21", "stance": "compare", "quote": "Images 2 using Simons method he mentioned (first run)", "excerpt": "Here is my regular \"hard prompt\" I use for testing image gen models: \"A macro close-up photograph of an old watchmaker's hands carefully replacing a tiny gear inside a vintage pocket watch. The watch mechanism is partially submerged in a shallow dish of clear water, causing visible refraction and light caustics across the brass gears. A single drop of water is falling from a pair of steel tweezers, captured mid-splas", "context": "", "use_case": "image generation", "switched_from": "", "story": "OpenAI Livestream"}]}