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postalcodertoday at 9:32 AM5 repliesview on HN

They must have trained on GPT Image 1 outputs. The yellow tint is unmistakable.

https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i...

https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i...

https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i...

https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i...


Replies

yorwbatoday at 9:41 AM

GPT Image 1 ended up with a yellow tint without training on another image-generation model's output. It's just that humans like pictures with a soft sunset glow, and this is a very easy global signal for a preference model to pick up on, and for a image-generation model to imitate. So optimizing for aesthetic appeal makes everything slightly tinted by default, unless you make sure to countersteer.

show 2 replies
cousinbrycetoday at 7:02 PM

Maybe it was trained in a Mexican data center https://en.wikipedia.org/wiki/Mexican_filter

hugmynutustoday at 1:48 PM

yellow/red tint is an extremely common problem not matter the photograph source you train on

source: work at a photograph start, even training on raw images things get tinted, it is an uphill battle

dannywtoday at 10:52 AM

AI-generated images are part of the web now, if you're doing ordinary web scraping, you can't avoid training on generated images.

greybtoday at 2:39 PM

You clearly haven't met a Chinese RedNote user.