models/4x-Nomos2-hq-mosr.json

{
    "name": "4xNomos2_hq_mosr",
    "author": "helaman",
    "license": "CC-BY-4.0",
    "tags": [
        "general-upscaler",
        "photo"
    ],
    "description": "[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_mosr)\n\n# 4xNomos2_hq_mosr  \nScale: 4  \nArchitecture: [MoSR](https://github.com/umzi2/MoSR)  \nArchitecture Option: [mosr](https://github.com/umzi2/MoSR/blob/95c5bf73cca014493fe952c2fbc0bdbe593da08f/neosr/archs/mosr_arch.py#L117)  \n\nAuthor: Philip Hofmann  \nLicense: CC-BY-0.4  \nPurpose: Upscaler  \nSubject: Photography  \nInput Type: Images  \nRelease Date: 25.08.2024  \n\nDataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets)  \nDataset Size: 6000  \nOTF (on the fly augmentations): No  \nPretrained Model: [4xmssim_mosr_pretrain](https://github.com/Phhofm/models/releases/tag/4xmssim_mosr_pretrain)  \nIterations: 190'000  \nBatch Size: 6  \nPatch Size: 64  \n\nDescription:   \nA 4x [MoSR](https://github.com/umzi2/MoSR) upscaling model, meant for non-degraded input, since this model was trained on non-degraded input to give good quality output.   \n\nIf your input is degraded, use a 1x degrade model first. So for example if your input is a .jpg file, you could use a 1x dejpg model first.  \n\nModel Showcase:  [Slowpics](https://slow.pics/c/cqGJb0gT)",
    "date": "2024-08-25",
    "architecture": "mosr",
    "size": null,
    "scale": 4,
    "inputChannels": 3,
    "outputChannels": 3,
    "resources": [
        {
            "platform": "pytorch",
            "type": "pth",
            "size": 17213494,
            "sha256": "c60dbfc7e6f7d27e03517d1bec3f3cbd16e8cd4288eefd1358952f73f8497ddc",
            "urls": [
                "https://github.com/Phhofm/models/releases/download/4xNomos2_hq_mosr/4xNomos2_hq_mosr.pth"
            ]
        },
        {
            "platform": "onnx",
            "type": "onnx",
            "size": 17288863,
            "sha256": "f31fde6bd0e3475759aa5677d37b43b4e660d75e3629cd096bbc590feb746808",
            "urls": [
                "https://github.com/Phhofm/models/releases/download/4xNomos2_hq_mosr/4xNomos2_hq_mosr_fp32.onnx"
            ]
        }
    ],
    "trainingIterations": 190000,
    "trainingBatchSize": 6,
    "trainingHRSize": 256,
    "trainingOTF": false,
    "dataset": "nomosv2",
    "datasetSize": 6000,
    "pretrainedModelG": "4x-mssim-mosr-pretrain",
    "images": [
        {
            "type": "paired",
            "LR": "https://i.slow.pics/ZIKbM9eP.webp",
            "SR": "https://i.slow.pics/PIgZDy6T.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/s1hij4Od.webp",
            "SR": "https://i.slow.pics/3Acn0SYs.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/uPad2heK.webp",
            "SR": "https://i.slow.pics/PqaMMYN4.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/atbpBswr.webp",
            "SR": "https://i.slow.pics/yctDsFPC.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/tYQ5KasA.webp",
            "SR": "https://i.slow.pics/dWMOLSM3.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/oBi3wXy1.webp",
            "SR": "https://i.slow.pics/ESWD90pQ.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/6jejJasv.webp",
            "SR": "https://i.slow.pics/xBV1feGZ.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/DgqCdj3C.webp",
            "SR": "https://i.slow.pics/haiROW2m.webp"
        },
        {
            "type": "paired",
            "LR": "https://i.slow.pics/57pqAXqU.webp",
            "SR": "https://i.slow.pics/e3DTrXnD.webp"
        }
    ]
}