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{
"name": " 4xNomos8k_atd_jpg",
"author": "helaman",
"license": "CC-BY-4.0",
"tags": [
"general-upscaler",
"photo",
"restoration"
],
"description": "[Link to Github Release](https://github.com/Phhofm/models/releases/4xNomos8k_atd_jpg)\n\nName: 4xNomos8k_atd_jpg \nLicense: CC BY 4.0 \nAuthor: Philip Hofmann \nNetwork: [ATD](https://github.com/LabShuHangGU/Adaptive-Token-Dictionary) \nScale: 4 \nRelease Date: 22.03.2024 \nPurpose: 4x photo upscaler, handles jpg compression \nIterations: 240'000 \nepoch: 152 \nbatch_size: 6, 3 \nHR_size: 128, 192 \nDataset: nomos8k \nNumber of train images: 8492 \nOTF Training: Yes \nPretrained_Model_G: 003_ATD_SRx4_finetune \n\nDescription:\n4x photo upscaler which handles jpg compression. This model will preserve noise. Trained on the very recently released (~2 weeks ago) Adaptive-Token-Dictionary network. \n\nTraining details: \nAdamW optimizer with U-Net SN discriminator and BFloat16.\nDegraded with otf jpg compression down to 40, re-compression down to 40, together with resizes and the blur kernels. \nLosses: PixelLoss using CHC (Clipped Huber with Cosine Similarity Loss), PerceptualLoss using Huber, GANLoss, [LDL](https://github.com/csjliang/LDL) using Huber, YCbCr Color Loss (bt601) and Luma Loss (CIE XYZ) on [neosr](https://github.com/muslll/neosr).\n\n7 Examples:\n[Slowpics](https://slow.pics/s/uwnoI435)",
"date": "2024-03-22",
"architecture": "atd",
"size": null,
"scale": 4,
"inputChannels": 3,
"outputChannels": 3,
"resources": [
{
"platform": "pytorch",
"type": "pth",
"size": 81978555,
"sha256": "f29bbe14d651be9331462f038bc13f1027f2564e14a9b44e2f6bf6eb2286f840",
"urls": [
"https://github.com/Phhofm/models/releases/download/4xNomos8k_atd_jpg/4xNomos8k_atd_jpg.pth"
]
},
{
"platform": "pytorch",
"type": "safetensors",
"size": 81689540,
"sha256": "009671cec5a384db31052b52e344e5989b0c51a5ad4d25a8c2c629f658754d13",
"urls": [
"https://github.com/Phhofm/models/releases/download/4xNomos8k_atd_jpg/4xNomos8k_atd_jpg.safetensors"
]
}
],
"trainingIterations": 240000,
"trainingEpochs": 152,
"trainingBatchSize": 3,
"trainingHRSize": 192,
"trainingOTF": true,
"dataset": "nomos8k",
"datasetSize": 8492,
"pretrainedModelG": "4x-003-ATD-SRx4-finetune",
"images": [
{
"type": "paired",
"LR": "https://i.slow.pics/ldEYNWlT.png",
"SR": "https://i.slow.pics/xdmVEMYI.png"
},
{
"type": "paired",
"LR": "https://i.slow.pics/cQaluSYK.png",
"SR": "https://i.slow.pics/F1u6WFSN.png"
},
{
"type": "paired",
"LR": "https://i.slow.pics/dYreHhRM.png",
"SR": "https://i.slow.pics/SBpfYVLG.png"
},
{
"type": "paired",
"LR": "https://i.slow.pics/XJOfxR7Q.png",
"SR": "https://i.slow.pics/CMivOKUZ.png"
},
{
"type": "paired",
"LR": "https://i.slow.pics/0oPYzsTs.png",
"SR": "https://i.slow.pics/pP7htVeS.png"
},
{
"type": "paired",
"LR": "https://i.slow.pics/A5LMdT9v.png",
"SR": "https://i.slow.pics/fBCGH7yy.png"
},
{
"type": "paired",
"LR": "https://i.slow.pics/3oWFbFSX.png",
"SR": "https://i.slow.pics/zZ0RVK8I.png"
}
]
} |