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CoderViking/realesr-general-x4v3-onnx
realesr-general-x4v3-onnx is a image-to-image model from CoderViking. Use it when you need one image transformed into another. It is set up for onnx. The card lists the license as bsd-3-clause.
Clean ONNX export of realesr-general-x4v3 (SRVGGNetCompact, 4× general image super-resolution) from the official Real-ESRGAN weights, re-hosted for AllPrivate — where every model runs in the visitor's browser and noth…
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Updated Jul 16, 2026
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From the Hugging Face model README
Clean ONNX export of realesr-general-x4v3 (SRVGGNetCompact, 4× general image super-resolution) from the official Real-ESRGAN weights, re-hosted for AllPrivate — where every model runs in the visitor's browser and nothing is uploaded.
realesr-general-x4v3.pth
from the official Real-ESRGAN v0.2.5.0 release
8dc7edb9ac80ccdc30c3a5dca6616509367f05fbc184ad95b731f05bece96292torch.onnx.export (PyTorch 2.8.0, TorchScript exporter),
opset 17, fp32, constant folding on — see export_realesr.py
in this repo for the exact reproducible scriptinput [1, 3, height, width] (NCHW, RGB, float32 in [0,1]) →
output [1, 3, 4*height, 4*width]; height/width are dynamicAdd, Constant, Conv, DepthToSpace, PRelu, Resize — no Clip,
no layout transposes, so it runs on both the wasm and WebGPU execution
providers of ONNX Runtime WebUnlike the original network's common community exports, the output is not clipped to [0,1] inside the graph; clamp at the consumer (u8 conversion clamps naturally).
BSD 3-Clause, inherited from Real-ESRGAN (© Xintao Wang). This repo only re-packages the officially released weights in ONNX form.