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{
"model_name": "universal-upscale-distilled",
"task": "image-super-resolution",
"native_scale": 9,
"parameters": 1296013,
"parameters_millions": 1.296,
"architecture": {
"model_type": "student_sr",
"in_channels": 3,
"out_channels": 3,
"num_features": 64,
"num_blocks": 8,
"scale_factor": 9,
"upsample_mode": "staged",
"upsample_stages": [
3,
3
]
},
"onnx": {
"file": "model.onnx",
"file_bytes": 5197024,
"opset": {
"ai.onnx": 17
},
"ir_version": 10,
"producer": "pytorch 2.11.0+cu130",
"nodes": 42,
"ops": [
"Add",
"Conv",
"DepthToSpace",
"PRelu"
],
"initializers": 52,
"external_data_tensors": 0,
"self_contained": true
},
"input": {
"name": "input",
"dtype": "float32",
"layout": "NCHW",
"channels": "RGB",
"range": "[0, 1]",
"dynamic_axes": [
"batch",
"height",
"width"
]
},
"output": {
"name": "output",
"dtype": "float32",
"layout": "NCHW",
"channels": "RGB",
"shape": "[batch, 3, 9 * height, 9 * width]"
},
"training": {
"method": "knowledge distillation",
"teacher": "realesrgan_x4plus",
"kd_alpha": 0.6,
"target_source": "both",
"iters": 4000,
"seconds": 2932.2,
"best_val_psnr": 28.695699244559165,
"loss": {
"l1_weight": 1.0,
"perceptual_weight": 0.1,
"edge_weight": 0.0
},
"note": "Validation PSNR is measured on the notebook's own validation crops; examples/verification.json measures the published ONNX on local DIV2K crops."
},
"verification": {
"verdict": "ok",
"torchscript_vs_onnx_max_abs_diff": 1.3113021850585938e-06,
"report": "examples/verification.json"
},
"related": {
"non_distilled_repo": "tailot/universal-upscale",
"hub_repo": "tailot/universal-upscale-distilled"
},
"generated_at": "2026-10-25T22:25:42"
}