jaakkoc

5 ms·

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by jaakkoc 2mo ago
Check the 2nd note of the blog post (best viewed with desktop)
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by jaakkoc 2mo ago
I disagree - the human face is the hardest target exactly because (most) AI upscalers make up face traits and alter expressions. The blog post you linked uses ChatGPT, which uses generative cloud AI with billions of parameters, which does i
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by jaakkoc 2mo ago
Thanks for the feedback, I explicitly added that now to the blog post. The wording on this comment was off. That model is listed in the "Acknowledgements"-tab of the application. The end goal on working on this program has been th
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by jaakkoc 2mo ago
It is what it is with the title length
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by jaakkoc 2mo ago
Thanks. Yeah, I used to do the tug-and-pull of scaling, then adding noise and sharpening, scaling a little more, adding more noise, adding more sharpening, etc. to ad nauseam. And photoshop sharpening was too much always for my taste. At sc
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I 4x'd a 367x479 stamp-sized photo through 8 upscaling models(enlarger.app)
17 points by jaakkoc 2mo ago|13 comments
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by jaakkoc 2mo ago
Full disclaimer: the Enlarger app is something I did. Fuller disclaimer: this kind of a "postmark"-sized pic blowup test case is borderline unfair to every model in the comparison, mine included.
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Show HN: Enlarger • A local upscaler that keeps detail instead of smoothing it(enlarger.app)
1 points by jaakkoc 2mo ago|0 comments
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by jaakkoc 2mo ago
Crazy times we live in that a president can do this.
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by jaakkoc 2mo ago
Cool. Now do an accessible version. (/s)
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by jaakkoc 2mo ago
Seems like it was $25k worth of tokens