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    Z Image 4X UPSCALER by Helaman - ZIT
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    Z Image 4X UPSCALER by Helaman {this is not LoRA.}
    4x photo upscaler which handles jpg compression. This model will preserve noise.
    General upscaler: Realistic - Restoration
    Training details: AdamW optimizer with U-Net SN discriminator and BFloat16. Degraded with otf jpg compression down to 40, re-compression down to 40, together with resizes and the blur kernels.
    Losses: PixelLoss using CHC (Clipped Huber with Cosine Similarity Loss), PerceptualLoss using Huber, GANLoss, LDL using Huber, YCbCr Color Loss (bt601) and Luma Loss (CIE XYZ) on neosr.

    ComfyUI/
    └── models/
    ├── upscale_models
    └── 4xZImageTurbo_upscaler_255.safetensors


    CREDIT: https://github.com/Phhofm/models/releases/4xNomos8k_atd_jpg

    Description

    License: CC BY 4.0
    Dataset: nomos8k
    Number of train images: 8492
    OTF Training: Yes
    Pretrained_Model_G: 003_ATD_SRx4_finetune

    Upscaler
    ZImageTurbo

    Details

    Downloads
    430
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/9/2026
    Updated
    2/12/2026
    Deleted
    -

    Files

    zImage4XUPSCALERBy_zit.safetensors

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