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- license: cc-by-4.0
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+ license: cc-by-4.0
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+ [Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xHFA2k_LUDVAE_compact)
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+ # 2xHFA2k_LUDVAE_compact
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+ Name: 2xHFA2k_LUDVAE_compact
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+ Author: Philip Hofmann
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+ Release Date: 26.12.2023
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+ License: CC BY 4.0
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+ Network: SRVGGNetCompact
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+ Scale: 2
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+ Purpose: A lightweight anime 2x upscaling model with realistic degradations, based on musl's HFA2k_LUDVAE dataset
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+ Iterations: 23,000
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+ batch_size: 90
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+ HR_size: 128
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+ Epoch: 39
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+ Dataset: HFA2kLUDVAE
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+ Number of train images: 10270
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+ OTF Training: No
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+ Pretrained_Model_G: 2x-Compact-Pretrain
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+ Description: 2x lightweight anime upscaler with realistic degradations (compression, noise, blur) based on musl's HFA2k_LUDVAE dataset.
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+ ![2xHFA2k_LUDVAE_compact](https://github.com/Phhofm/models/assets/14755670/2dc9cca2-8349-4220-8138-83ff4fd9e502)
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+ ![2xHFA2k_LUDVAE_compact](https://github.com/Phhofm/models/assets/14755670/a66db00f-ab9d-4ac7-8ac1-439cf79685f2)