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Name: 2xHFA2kLUDVAEcompact Author: Philip Hofmann Release Date: 26.12.2023 License: CC BY 4.0 Network: SRVGGNetCompact Scale: 2 Purpose: A lightweight anime 2x upscaling model with realistic degradations, based on...
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Name: 2xHFA2k_LUDVAE_compact Author: Philip Hofmann Release Date: 26.12.2023 License: CC BY 4.0 Network: SRVGGNetCompact Scale: 2 Purpose: A lightweight anime 2x upscaling model with realistic degradations, based on musl's HFA2k_LUDVAE dataset Iterations: 23,000 batch_size: 90 HR_size: 128 Epoch: 39 Dataset: HFA2kLUDVAE Number of train images: 10270 OTF Training: No Pretrained_Model_G: 2x-Compact-Pretrain
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1 fonteVerificado 8 de ago.
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1 artefato2xHFA2k_LUDVAE_compact.safetensors
safetensors · 1,15 MB · SHA-256 69b2930d23a8…a394 · Hugging Face
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2 trechos--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xHFA2k_LUDVAE_compact) # 2xHFA2k_LUDVAE_compact Name: 2xHFA2k_LUDVAE_compact Author: Philip Hofmann Release Date: 26.12.2023 License: CC BY 4.0 Network: SRVGGNetCompact Scale: 2 Purpose: A lightweight anime 2x upscaling model with realistic degradations, based on musl's HFA2k_LUDVAE dataset Iterations: 23,000 batch_size: 90 HR_size: 128 Epoch: 39 Dataset: HFA2kLUDVAE Number of train images: 10270 OTF Training: No Pretrained_Model_G: 2x-Compact-Pretrain Description: 2x lightweight anime upscaler with realistic degradations (compression, noise, blur) based on musl's HFA2k_LUDVAE dataset.  
Description: 2x lightweight anime upscaler with realistic degradations (compression, noise, blur) based on musl's HFA2k_LUDVAE dataset.
2xHFA2k_LUDVAE_compact 2xHFA2k_LUDVAE_compact
Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/2xHFA2k_LUDVAE_compact
