Lucida Web
This repository contains an experimental ONNX/WebGPU conversion of Lucida for personal validation in a web browser. It is not an official release of the original project and is not affiliated with or endorsed by the...
Model source
- Kind
- Other
- File size
- 451 MB
- Version
- v1024 fp16
- Updated
- Oct 9, 2026
- Source
- Hugging Face
Source description
Lucida Web ONNX (experimental)
This repository contains an experimental ONNX/WebGPU conversion of Lucida for personal validation in a web browser. It is not an official release of the original project and is not affiliated with or endorsed by the original author.
Original project and acknowledgements
The model architecture, trained weights, and the core background-removal capability come from the original egeorcun/lucida project by egeorcun. Lucida is a BiRefNet-based image matting model released under the MIT License.
Many thanks to egeorcun and all upstream Lucida/BiRefNet contributors for releasing their work and making this browser experiment possible. Please refer to the original repository for the model's training details, datasets, benchmarks, limitations, license, and citations.
About this repository
This model is produced as part of the personal browser/WebGPU experiments maintained at tomosud/lucidamod.
The experiment includes:
- conversion of the original model to a WebGPU-compatible ONNX graph;
- mixed precision (mostly FP16, with GridSample retained in FP32);
- restructuring of wide Concat nodes for WebGPU storage-buffer limits;
- browser-side inference with ONNX Runtime Web/WebGPU;
- experimental foreground-colour decontamination for transparent PNG output.
The file lucida-web-1024-fp16.onnx uses a fixed 1 x 3 x 1024 x 1024 input. It is intended for
technical evaluation and personal verification. Results, compatibility, memory use, and numerical
quality may differ from the original PyTorch implementation.
日本語
このリポジトリは、LucidaをブラウザのONNX Runtime Web/WebGPUで動かすために変換した、 個人検証用の非公式な実験モデルです。原典プロジェクトの公式リリースではありません。
モデル構造、学習済み重み、背景除去能力は、egeorcun氏による原典 egeorcun/lucida に由来します。モデルとコードを公開し、 この検証を可能にしてくださったegeorcun氏およびLucida/BiRefNetの各コントリビューターに 深く感謝します。学習内容、データセット、ベンチマーク、制限事項、ライセンス、引用情報は 原典リポジトリを参照してください。
ONNX変換、WebGPU互換化、FP16混合精度化、およびブラウザ動作検証は、個人検証リポジトリ tomosud/lucidamod で行っています。原版PyTorch実装と 完全に同一の品質・互換性を保証するものではなく、技術検証目的の成果物です。
Sources
1 source
Sources
1 sourceVerified Oct 9
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: mit library_name: onnxruntime pipeline_tag: image-segmentation tags: - background-removal - image-matting - onnx - webgpu - fp16 --- # Lucida Web ONNX (experimental) This repository contains an experimental ONNX/WebGPU conversion of **Lucida** for personal validation in a web browser. It is not an official release of the original project and is not affiliated with or endorsed by the original author. ## Original project and acknowledgements The model architecture, trained weights, and the core background-removal capability come from the original **[egeorcun/lucida](https://github.com/egeorcun/lucida)** project by egeorcun. Lucida is a BiRefNet-based image matting model released under the MIT License. Many thanks to egeorcun and all upstream Lucida/BiRefNet contributors for releasing their work and making this browser experiment possible. Please refer to the original repository for the model's training details, datasets, benchmarks, limitations, license, and citations. ## About this repository This model is produced as part of the personal browser/WebGPU experiments maintained at **[tomosud/lucidamod](https://github.com/tomosud/lucidamod)**. The experiment includes: - conversion of the original model to a WebGPU-compatible ONNX graph; - mixed precision (mostly FP16, with GridSample retained in FP32); - restructuring of wide Concat nodes for WebGPU storage-buffer limits; - browser-side inference with ONNX Runtime Web/WebGPU; - experimental foreground-colour decontamination for transparent PNG output. The file `lucida-web-1024-fp16.onnx` uses a fixed `1 x 3 x 1024 x 1024` input. It is intended for technical evaluation and personal verification. Results, compatibility, memory use, and numerical quality may differ from the original PyTorch implementation. --- ## 日本語 このリポジトリは、LucidaをブラウザのONNX Runtime Web/WebGPUで動かすために変換した、 個人検証用の非公式な実験モデルです。原典プロジェクトの公式リリースではありません。 モデル構造、学習済み重み、背景除去能力は、egeorcun氏による原典 **[egeorcun/lucida](https://github.com/egeorcun/lucida)** に由来します。モデルとコードを公開し、 この検証を可能にしてくださったegeorcun氏およびLucida/BiRefNetの各コントリビューターに 深く感謝します。学習内容、データセット、ベンチマーク、制限事項、ライセンス、引用情報は 原典リポジトリを参照してください。 ONNX変換、WebGPU互換化、FP16混合精度化、およびブラウザ動作検証は、個人検証リポジトリ **[tomosud/lucidamod](https://github.com/tomosud/lucidamod)** で行っています。原版PyTorch実装と 完全に同一の品質・互換性を保証するものではなく、技術検証目的の成果物です。
Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Library onnxruntime · Repo tomohisa/lucida-web
