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ONNX Image Model Collection

This collection contains ONNX versions of image upscaling and restoration models intended for browser inference. Most of the models here were converted with pth2onnx-converter.

Built for WebGPU in the Browser

These models are primarily prepared for onnx-web-upscale, which uses ONNX Runtime Web to run image models directly in the browser with WebGPU.

What You Will Find

Image upscalers for higher-resolution output
Restoration models for JPEG cleanup, denoise, and detail recovery
ONNX exports that are easier to load in browser-based pipelines
Variants optimized for practical web inference where possible

Compatibility Notes

Most models are exported for ONNX Runtime Web usage
Performance depends on the browser, GPU, driver, and model size
Some larger models may require more VRAM or hit browser memory limits
A few files may include manual fixes or extra optimization beyond the base conversion flow

Intended Use

Use this collection if you want to run image enhancement models locally in a web app without a server-side inference stack. The main target is fast, portable image processing with ONNX Runtime Web on WebGPU.

Credits

Original model weights, architectures, and training work belong to their respective authors. This collection focuses on packaging those models into a browser-friendly ONNX format for easier testing and deployment.

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