Image Generation

Today's Stories

1. 1

   Alibaba's Qwen-Image-2.1: 7 billion parameters, beats most closed models on internal benchmark

   Alibaba's Qwen AI team released Qwen-Image-2.1, an open-weight model with a 7-billion-parameter visual component that runs on capable consumer GPUs like a 3090. It generates and edits transparent (RGBA) images and handles up to ten reference images at once. The team claims it beats most closed models on Qwen's own benchmark, though independent benchmarks are still pending. If verified, it suggests image generation and editing quality may be achievable on hardware creative professionals already own, rather than only through cloud-based closed services.

   The research license bars commercial use, so business adoption hinges on whether Qwen grants a separate license. Independent benchmark results will show whether the claim holds beyond Qwen's internal testing.

2. 2

   Birthday draws backlash over AI ads

   Shimamura's baby brand Birthday faced a flood of criticism over its AI-generated advertising, with viewers saying the children's faces look identical, that it is creepy, and that it looks cheap. For a baby and children's apparel brand, the reaction suggests AI imagery can undercut the trust parents place in a label, appearing as a sign of cost-cutting rather than a creative choice.

   The key question is whether Birthday changes its ad production or keeps relying on AI imagery. The brand's response to the criticism is what to watch.

3. 3

   ZOZO's WEAR app adds AI outfit advice via 28 'fashion cores'

   ZOZO said its WEAR outfit-sharing app now diagnoses a user's "fashion core" from 28 preference types, based on liked outfit photos, and proposes looks from over 15 million WEAR posts. The feature adds "desired impression" and "styling flavor" to the old fashion-genre tags, so shoppers likely spend less time hunting for clothes they like, which ZOZO aims to turn into sales.

   Suggestions also cover body-shape concerns, that day's weather, and item rotations, and users can virtually try on looks by uploading a face photo, then buy via ZOZO TOWN.

4. 4

   Pinterest bets on Restyle AI to close pin-to-purchase gap

   On Thursday, Pinterest said its new "Restyle" feature is launching in beta in the U.S. and Canada, letting users photograph a room and prompt AI to add wall art, furniture, or decor, change lighting, or test styles like "bohemian" and "industrial." By letting people see saved items inside their own spaces, Pinterest appears to be betting the feature can turn pinned inspiration into actual purchases, completing the funnel from pinning to buying.

   Restyle is only an early preview, so the test is whether it rolls out broadly next month as stated. Watch whether users actually buy the items they restyle, since that is where the commercial value sits.

5. 5

   Kyushu National Museum admits generative AI used in Himiko's Mirror poster

   On September 17, the Kyushu National Museum said generative AI was used in part of the poster and flyer illustrations for the special exhibition "Himiko's Mirror." It had earlier told Sanyo Shimbun in July that no generative AI was used. The museum's initial denial now appears to have been incorrect, which is why it apologized to those it gave wrong information to. This is likely to draw scrutiny to how much AI is involved in exhibition artwork.

   The museum said the designer and illustrator asked to keep their names undisclosed, so how the AI was used and by whom remains unclear. Watch whether the museum explains the extent of the AI use.

6. 6

   Birthday's AI ad criticized as "creepy" over same faces

   Japanese retailer Shimamura's children's clothing brand Birthday faced a wave of online criticism over an AI-generated ad, with viewers saying the children's faces looked identical and creepy, or that it looked cheap. The backlash suggests shoppers judge AI-made advertising by whether it looks human and sincere, and customers appear to tie that instantly to a brand's reputation.

   How much of this is aimed at the ad's quality rather than the use of AI itself is the open question; the brand's next advertising choices will show whether the criticism changes anything.