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[return to "Google Imagen 2"]
1. Evgeni+pb1[view] [source] 2023-12-13 19:31:35
>>geox+(OP)
I've tried and it's genuinely bad, with obvious artifacts. I'm surprised it got released
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2. mkl+Er1[view] [source] 2023-12-13 20:52:32
>>Evgeni+pb1
Can you throw some examples up on Imgur or something?
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3. Evgeni+Ky2[view] [source] 2023-12-14 05:53:50
>>mkl+Er1
Sure, here's sample query https://imgur.com/a/8UDDac9 These are DALL-E 3, Imagen, and Imagen 2, in this order. I've used the code based on similar examples from GitHub [1]. According to docs [2], imagegeneration@005 was released on the 11th, so I guessed it's Imagen 2, though there are no confirmations.

[1] https://github.com/GoogleCloudPlatform/generative-ai/blob/ma...

[2] https://console.cloud.google.com/vertex-ai/publishers/google...

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4. kossTK+Pe3[view] [source] 2023-12-14 13:03:26
>>Evgeni+Ky2
You've got to be kidding me. This almost deserves its own post.

That last picture is still so horribly bad it's no wonder Google made it almost impossible to access this tech.

How did Google drop the ball on AI like this when they pioneered the entire field?

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5. Evgeni+qN3[view] [source] 2023-12-14 16:19:11
>>kossTK+Pe3
To be fair, it is not always that awful. Here is a sample of the results of simpler subset prompts I like to run on image generation: https://imgur.com/a/aO5S7yM Some are bad (first two), but others are okay; it understands text pretty well, but the artifacts just feel like years ago.

I still can't understand how it got released and advertized.

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