@citnaj is there an online version of DeOldify that I can upload and deoldify images with?
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Replying to @rani_horev
Yes in fact there is- multiple options!
@alexpolymath recently created this slick site that uses DeOldify: https://colorize.cc/ . The only drawback to it is that it's currently GPU limited, which will mean certain renders won't look -as- good. But it's hella convenient.1 reply 0 retweets 1 like -
Replying to @citnaj @alexpolymath
If you want to take a shot at using a beefier GPU, you can use the Colab notebook: https://colab.research.google.com/github/jantic/DeOldify/blob/master/DeOldify_colab.ipynb … . It's not as user friendly as
@alexpolymath 's website though, as it's Python code that you run in a notebook. But still- a free GPU and hassle free VM comes with it.2 replies 0 retweets 1 like -
Replying to @citnaj @alexpolymath
It's was surprising easy to run the notebook, but the results are kind of greenish :) Any ideas why?pic.twitter.com/ZS6X6BiQZ0
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Replying to @rani_horev @alexpolymath
Have you tried it playing around with the render_factor variable? Sometime it’s just a matter of hitting the sweet spot with that as to whether or not image elements are interpreted accurately. Generally higher is better but not always
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Replying to @citnaj @alexpolymath
Nope, but I can try. What's the render factor? (or where can I read about it?) Thanks a lot!
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Replying to @rani_horev @alexpolymath
In the notebook code. There’s a comment in there that describes what it does and the max value of 42.
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Replying to @citnaj @alexpolymath
I should've searched there before asking
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lol don’t worry man. It’s good to get this feedback so I know what’s causing users trouble. I’m aiming for ease of use in the code as well as the end product.
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