---
license: other
tags:
  - onnx
  - manga
  - text-detection
  - inpainting
  - webgpu
---

# Tara Models

ONNX models for [Tara](https://github.com/QuatZo/tara) - browser-native visual document translation.

## Models

| Model | File | Size | Source | Changes |
|-------|------|------|--------|---------|
| RT-DETR-v2 (detector) | detector.onnx | 161 MB | [ogkalu/comic-text-and-bubble-detector](https://huggingface.co/ogkalu/comic-text-and-bubble-detector) | Patched AveragePool ceil_mode=0 for WebGPU compatibility |
| LaMa (inpainter) | lama-manga-dynamic.onnx | 197 MB | [ogkalu/lama-manga-onnx-dynamic](https://huggingface.co/ogkalu/lama-manga-onnx-dynamic) | No changes, original model |

## Why this repo?

The original detector.onnx uses AveragePool with ceil_mode=1, which onnxruntime-web's WebGPU backend does not support. This repo hosts a patched version where ceil_mode is set to 0. Since all AveragePool nodes use kernel=2x2 stride=2 on even-dimension inputs (640x640), this change has no effect on output.

The LaMa inpainter works as-is and is included here for convenience (single download source).

## Usage

These models are loaded by Tara via the browser Cache API. On first visit, the app downloads both models (~360 MB total) and caches them locally. Subsequent visits load from cache instantly.

Direct download URLs:
- https://huggingface.co/QuatZo/tara-models/resolve/main/detector.onnx
- https://huggingface.co/QuatZo/tara-models/resolve/main/lama-manga-dynamic.onnx

## License

Original models by [ogkalu](https://huggingface.co/ogkalu). See the source repositories for license information.