Images 2.6
davidbarker
211 points
137 comments
November 04, 2026
Related Discussions
Found 5 related stories in 133.4ms across 11,645 title embeddings via pgvector HNSW
- ChatGPT Images 2.5 vertigoruntime · 310 pts · September 08, 2026 · 72% similar
- Qwen Image 2.1 jmillikin · 576 pts · September 20, 2026 · 62% similar
- Training Text-to-Image Models 3.6× Faster schopra909 · 47 pts · September 16, 2026 · 55% similar
- OpenAI (2015) andsoitis · 41 pts · September 27, 2026 · 53% similar
- Can you tell which images are AI-generated? hckr78 · 72 pts · September 19, 2026 · 52% similar
Discussion Highlights (20 comments)
rarisma
FOUR BILLION IMAGES PER WEEK???
minimaxir
Using the grid trick for animations to generate the individual frames has been around for awhile and not specific to ChatGPT: I'm surprised it took this long for one of the official providers to make it explicit. However, adherence between frames is generally tricky, and even in the examples there is a lot of noise between frames although that could be due to compression. SVG support is interesting but I suspect shenanigans are afoot since that's not how image generation models work, and it would likely strip any SynthID watermarks. It's possible OpenAI has pipelined a raster-to-vector tool that does the conversion automatically. (I developed a similar pipeline and it works extremely well; I'll open source it at some point) EDIT: Per documentation, there is an explicit `output_format: "svg"`, and I am indeed correct there is raster-to-vector in play: > The API creates a reference image and uses it to produce the SVG. The quality setting controls that reference image. Decode data[0].b64_json as base64 and save the resulting UTF-8 XML bytes with a .svg extension. OpenAI claims 50% faster generation with Images 2.6 but curiously price is the same as Image 2.5.
sroussey
https://chatgpt.com/share/6aebc6f8-d660-83e8-9cb3-49bdf8caa7... I guess I should have been careful about “half”? These models have a hard time imagining men with naturally blond hair getting grey.
ipsum2
Still has the gross artifacts (visible watermarking) that the other GPT-Image-2.* has. Google's Nano banana watermarking is practically invisible. SVG is cool though, I wonder how good it is.
jansan
Do they have an example of an SVG image created by the new model somewhere?
algoth1
Can it finally do pixel art?
momojo
What's the state of the art for image gen? I'm far removed and pretty happy with the free Gemini tier but its notable to me that I rarely see boasting about being "the best image generator yet" and I wonder if that's because they're all just good enough?
jjcm
2.5 is better than 2.6 I've been playing with it for the last hour or so. I immediately updated my platform to use both since 2.5 is my primary model (i run a prompt->design site). After playing with it for an hour, I'm rolling back 2.6-flare to 2.5-flare. I've found 2.6-flare specifically to either be too simplistic in its approaches, or create outputs that are inherently broken in other cases. Comparison examples: https://diffui.ai/app/canvas/178db5d5-ff87-4b43-aa98-2897773... 2.6-sunburst seems solid however. Update: seems to be confirmed on arena.ai - 2.5 scores higher than 2.6 https://arena.ai/leaderboard/image/text-to-image
tintor
SVG? Who can generate a pelican on a bicycle?
E-Reverance
Still looks like an eyesore, I genuinely want to know if the engineers who work on the product don't notice it
bsboxe
The input and output pricing per token remains the same between 2.5 and 2.6, although using their image pricing calculator shows a quadrupling of token usage at low and medium quality settings for 2.6. For e.g. at 1024x1024: 2.5 low, 196 tokens, $0.006 2.6 low, 823 tokens, $0.025 2.5 med, 439 tokens, $0.013 2.6 med, 1449 tokens, $0.043 Interestingly, higher quality settings show no change in token usage between the models.
Computer0
The gifs really accentuate the artifacting, not sure I would've lead with that.
dllu
The blog post says > Images 2.6 is available globally today in ChatGPT and Codex across all subscription tiers on desktop, mobile, and web. But I just updated my codex-cli to the latest version (still 0.166.0) and it is still unable to generate gifs. Very disappointing
solyin
lol, I tried > Create a GIF where xkcd 2347 gets hit by an airliner like the twin towers and the pilot is AI and got a refusal. > We’re so sorry, but the image we created may violate our guardrails around violence.
schneehertz
The model used by codex-cli is still gpt-image-2. https://github.com/openai/codex/blob/f3074e35c079bd8a5e89b03...
DanHulton
That stained glass whale thing makes me especially grumpy. When it scrolled onto the page, my first thought was "whoah, what a neat idea" and then it was _immediately_ followed by "what a terribly execution." Like, I'm not even an artist, so I'm sure there's a million things I'm missing, but it's just so upsetting to look at. There's weird random reflections on things that shouldn't have reflections, the coloured light absolutely doesn't actually track through the stained glass onto any surface that makes any sense, light is coming from every which way, it's just... gross to look at for anything more than a quarter of a second. And this is what they're using to hype people up for it. /shrug
neom
Did a considerably worse job than Image Gen 2.0 on my standard test prompt. "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-splash on the water's surface. Reflect the watchmaker's face, slightly distorted, in the curved glass of the watch face. Sharp focus throughout, natural window lighting from the left, shot on 100mm macro lens." 2.6: https://gov.f9.is/JRDpHJGu 2.0: https://gov.f9.is/cqyCwtq9
vunderba
Decided to try out one of the new features in GPT Image 2.6: the ability to natively generate animated GIF files. I didn't have high expectations, and I still think you can probably get better results by doing a First-Last-Frame using something like Minimax H3 but I was still rather surprised that it could do it at all. Here are some of the results. The last one shows its ability to take an existing image and convert it into an animated GIF. It's a picture of my husky inside a snow globe. https://imgpb.com/OzSMKJ
speak_plainly
On a phone, if you share a gif, it creates a link to ChatGPT.com with a static image. You can also save the image to photos and share directly from there which feels like an unnecessary step. It feels like a sleazy pattern and defeats the purpose of why I’d want to generate a gif in the first place, which to make clear is likely going to be to share with friends in a chat. I’m not interested in driving traffic to ChatGPT.com to impress my friends.
teamolHuang
wait... did we get (sort of) sora back???