Tinier upscale models
ONNX exports of the official Real-ESRGAN weights, used by the in-browser AI upscaler at tinier.app/upscale-image (onnxruntime-web, WebGPU/WASM).
| File | Source weights | Params | Size |
|---|---|---|---|
realesr-general-x4v3.onnx |
realesr-general-x4v3.pth (SRVGGNetCompact) | 1.2M | 4.6 MB |
realesrgan-x4plus.onnx |
RealESRGAN_x4plus.pth (RRDBNet) | 16.7M | 64 MB |
Export details: fp32, opset 17, dynamic H/W axes.
Contract: input float32 [1, 3, h, w], RGB in [0, 1], NCHW → output float32 [1, 3, 4h, 4w].
Both exports are numerically verified against the PyTorch originals
(max abs diff ~1e-6). Conversion script:
scripts/export-onnx-models.py in the Tinier repo.
License: BSD-3-Clause, inherited from the upstream Real-ESRGAN weights.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support