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[return to "Imagen, a text-to-image diffusion model"]
1. endisn+W5[view] [source] 2022-05-23 21:24:37
>>kevema+(OP)
I give it a few years before Google makes stock images irrelevant.
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2. tpmx+J6[view] [source] 2022-05-23 21:29:03
>>endisn+W5
Rolling this into Google Docs seems like a nobrainer.
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3. ma2rte+Ki[view] [source] 2022-05-23 22:38:45
>>tpmx+J6
Google is very conservative about anything that can generate open-ended outputs. Also these models are still very expensive computationally.
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4. london+Bm[view] [source] 2022-05-23 23:08:09
>>ma2rte+Ki
They're expensive to train, but not awfully expensive to use. Especially if you have hundreds of images you want to generate (due to the way compute devices tend to get much more efficiency with a large batch size).

Google could totally afford it, especially if the feature was hidden behind a button the user had to click, and not just run for every image search.

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