remove-ai-watermarks: una CLI borra SynthID, C2PA y el sparkle de Gemini
A new GitHub repository called remove-ai-watermarks offers a command-line interface (CLI) and Python library to remove visible and invisible watermarks from images generated by AI platforms. The tool targets various watermarking techniques, including those used by Google Gemini and SynthID, and aims to make AI-generated images undetectable by current automated systems. The project has gained attention for its technical approach to challenging the traceability claims made by major tech companies.
- ▪The remove-ai-watermarks tool can eliminate visible and invisible watermarks from AI-generated images with a single command.
- ▪It specifically addresses the sparkle watermark from Google Gemini and the SynthID watermark from DeepMind.
- ▪The project has received 221 stars on GitHub and offers a free online demo.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 806044) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } lu1tr0n Posted on May 20 • Originally published at elsolitario.org remove-ai-watermarks: una CLI borra SynthID, C2PA y el sparkle de Gemini #ai #programming #machinelearning #tutorial Un repositorio publicado en GitHub bajo el nombre remove-ai-watermarks ofrece una CLI y librería en Python que elimina, en un solo comando, las marcas de agua visibles e invisibles que las grandes plataformas de IA generativa estampan sobre las imágenes que producen.
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