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In the NEXT update, a new Anime Video Upscaling Model, AnimeVideo-Mini-W2xEX, will be added. This model aims to achieve fast anime upscaling while preserving decent detail reconstruction and denoising ability.

Speed:

This AnimeVideo-Mini model is as fast as the Omni-Mini model

Quality:

To achieve high-quality anime upscaling with such a tiny model, I trained AnimeVideo-Mini using a large amount of synthetic data generated from a high-quality and diverse anime dataset.

And the anime upscaling quality of this model is significantly better than Anime4K and RTX Super-Res, coming close to AnimeVideoV3.

This model is trained to handle both image and video compression.

Compare AnimeVideo-Mini against different models:

🔗🖼️Anime4k

🔗🖼️RTX-SuperRes

🔗🖼️Waifu2x-NCNN-Vulkan

🔗🖼️RealESR-AnimeVideoV3

And this is only the first version of AnimeVideo-Mini model. I'm still working on pushing this tiny model even further. Thank you for supporting this project! 💕💕💕

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Comments

Brett Pick

this looks fantastic, can't wait to try it

Aaron Feng

Thank you for your generosity! If you wish to offer further support to this project, you can upgrade to the $9.99 tier or make a custom pledge on Patreon. Feel free to message me if you have more questions.

DEDMN

is the higher quaility on the yellow one or the green one

Aaron Feng

The first pic is about speed (time taken), not quality

Marcos Bolanos

Not sure where to put this BUT, would it be possible in a future update to allow us to set custom output names? I deal with a lot of pictures would like the option for "original_file_name + custom_name" So "photo_1_Upscale.png" Thank you for your consideration!

Aaron Feng

Thank you for your suggestion, this is already in my to-do list