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realesrgan-x4plus
skillsafe-ai/realesrgan-x4plus
realesrgan-x4plus is a machine learning model from skillsafe-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bsd-3-clause.
Browser-ready onnx artifacts for image-super-resolution, produced by SkillSafe's reproducible converter (models/ in skillsafe.ai) from a pinned upstream source. Every byte here is derivable from that source plus the r…
Access
Public
Updated Sep 22, 2026
Repo size
102 MB
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1
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Repo makeup
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.onnx101 MB · 99%
At a glance
- License
- bsd-3-clause
- Access
- Public
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026
- SHA
- 107475e4
Model card
From the Hugging Face model README
Real-ESRGAN x4plus (RRDBNet 23 blocks)
Browser-ready onnx artifacts for image-super-resolution, produced by SkillSafe's
reproducible converter (models/ in skillsafe.ai)
from a pinned upstream source. Every byte here is derivable from that source plus
the recipe below; nothing was edited by hand.
Provenance
| Upstream | https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth |
| Upstream SHA-256 / commit | 4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1 |
| Recipe | recipes/realesrgan-x4plus.yaml — sha256 d9c7db59a4d24f1d6e3ec90a827c1b544e2c99ef0195773d3a5739d0c15bc109 |
| Toolchain | Python 3.12.13, torch 2.10.0, onnx 1.23.0, onnxruntime 1.30.0 on Darwin 25.6.0 arm64 |
| Converted | 2026-09-22T03:09:04+00:00 |
Files
| file | class | size | SHA-256 |
|---|---|---|---|
model.onnx | registry | 63.95 MB | 4851ec156207d271f5328605d0582eeb851e656227da8aca093ced9e60789291 |
model_fp16.onnx | registry | 32.19 MB | 38fe853c9cd8e1d6fd0ff387f2d43c51c1352feb9d7b3e2533d4c07b1b932f68 |
registry files are parameter files served from models.skillsafe.ai once vetted;
bundle files ship inside an app; registry-shared is a runtime library reused by
every model of the same architecture.
Verification
ONNX Runtime (CPU) output vs the PyTorch reference on a seeded uniform input, thresholds from the recipe ({"fp32": {"max_abs": 0.0001}, "fp16": {"max_abs": 0.05, "psnr_db": 45}}):
| variant | input | max abs | mean abs | PSNR |
|---|---|---|---|---|
| fp32 | 64×64 | 2.26e-06 | 3.07e-07 | 128.1 dB |
| fp32 | 80×96 | 2.32e-06 | 3.00e-07 | 128.3 dB |
| fp16 | 64×64 | 1.96e-03 | 1.92e-04 | 72.8 dB |
| fp16 | 80×96 | 1.13e-03 | 1.96e-04 | 72.7 dB |
Use in the browser
import * as ort from "onnxruntime-web";
const session = await ort.InferenceSession.create("https://huggingface.co/skillsafe-ai/realesrgan-x4plus/resolve/main/model.onnx", { executionProviders: ["webgpu", "wasm"] });
const out = await session.run({ input: new ort.Tensor("float32", pixels, [1, 3, h, w]) });
Contract: input input float32 ['batch', 3, 'height', 'width'] → output output float32 ['batch', 3, 'height_x4', 'width_x4']. Opset 17.
Licence and attribution
Real-ESRGAN RealESRGAN_x4plus weights and RRDBNet architecture: Copyright (c) 2021, Xintao Wang. BSD 3-Clause License. https://github.com/xinntao/Real-ESRGAN
Licence: BSD-3-Clause — notice: https://github.com/xinntao/Real-ESRGAN/blob/a4abfb2979a7bbff3f69f58f58ae324608821e27/LICENSE. The conversion recipe and this model card are part of the SkillSafe repository and carry its licence; the weights remain under the upstream licence above.
The full manifest.json in this repo records the recipe, sources, toolchain
(including the uv.lock hash) and per-file verification numbers.
- License
- bsd-3-clause
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026