{ "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" } ] }