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This is exactly the use case I just tried, and not only does one get a non-transparent checkerboard, the squares are inconsistent & jumbled.

Example: https://gemini.google.com/share/36d66cad1764

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ChatGPT's image generator has been able to do this since last year. That NBP still can't is baffling. They should at least train it to respond to requests for transparency with a solid colour pink background.
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This. Gpt-image-1/1.5 are the only ones that have this built in - though I'd love to have an insider view if its natively considering the alpha channel or just feeding it through a rembg-style post processor.
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Certainly the initial versions were post processing rather than native. I'd be interested to know if that has changed on subsequent releases.
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You can output to a plain background and use any number of tools to mask it.
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I know. It sounds like a perfect task for AI to do it though (wasn't the whole premise of AI do to mundane things for us), yet they fail to do it, and I need to use an external tool.
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Alpha is a 4th image channel that 99%+ of images in the training data do not use, so it makes more pragmatic sense to just not allow it.
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The output from Nano Banana, even when it is ostensibly drawing "single color" shaded areas, is so jittery that it can be challenging to threshold it.
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Nano Banana Pro is better at that type of thing, so I suspect Nano Banana 2 will be sufficient.
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