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