Realesr General X4v3 Onnx

--- license: bsd-3-clause library_name: onnx tags: - onnx - super-resolution - real-esrgan - image-to-image --- # realesr-general-x4v3 — ONNX export (NCHW, opset 17) Clean ONNX export of **realesr-general-x4v3** (SRVGGNetCompact, 4× general image super-resolution) from the official [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) weights, re-hosted for [AllPrivate](https://allprivate.app) — where every model runs in the visitor's browser and nothing is uploaded. ## Provenance - Source weights: [`realesr-general-x4v3.pth`](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth) from the official Real-ESRGAN v0.2.5.0 release - sha256: `8dc7edb9ac80ccdc30c3a5dca6616509367f05fbc184ad95b731f05bece96292` - Exported with `torch.onnx.export` (PyTorch 2.8.0, TorchScript exporter), opset 17, fp32, constant folding on — see [`export_realesr.py`](./export_realesr.py) in this repo for the exact reproducible script - I/O: `input` `[1, 3, height, width]` (NCHW, RGB, float32 in [0,1]) → `output` `[1, 3, 4*height, 4*width]`; height/width are dynamic - Graph ops: `Add, Constant, Conv, DepthToSpace, PRelu, Resize` — no `Clip`, no layout transposes, so it runs on both the wasm and WebGPU execution providers of ONNX Runtime Web - Validated against the PyTorch reference: max abs deviation ≤ 5.5e-6 across 64×64, 256×256 and 100×37 inputs Unlike 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). ## License BSD 3-Clause, inherited from [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE) (© Xintao Wang). This repo only re-packages the officially released weights in ONNX form.

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Library onnx · Repo CoderViking/realesr-general-x4v3-onnx