ATH-MaaS/PixText

AI model by ATH-MaaS

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[](https://arxiv.org/abs/2610.18284) [](https://github.com/ATH-MaaS/PixText) [](LICENSE) English | 简体中文 PixText refines local text in pixel space. Provide an image, the regions to edit, and the target text. The model generates those regions using the image as context and preserves pixels outside the actual edited footprints. Multiple targets are generated jointly. MeanFlow is the default quick-start choice. Each model package contains its weights, configuration, fonts and SHA-256 checksums. MeanFlow needs no additional text encoder, OCR model, VAE, or teacher. Two input images and their targets are bundled in examples/. Cyan boxes mark the edited regions. Click an image to enlarge it. Each row pairs two targets; every target shows input, MeanFlow output and Teacher output. English tagline repair. examples/englishcase repairs three damaged spots in a printed tagline: a broken letter plus two words, leaving the surrounding logo untouched. Each row shows one repaired region: input, MeanFlow output and Teacher output. Both cases use seed…

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Model overview

ATH-MaaS/PixText is a task-unspecified model repository published by ATH-MaaS on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 1
Hugging Face trending score: 1
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-22T06:41:17.000Z
Last modified: 2026-10-22T06:43:40.000Z

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