Stable Attribution
Visit ToolStable Attribution is an AI attribution tool that helps identify source images used in Stable Diffusion generations. It aims to credit original artists and facilitate ethical AI image creation.
At a glance
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Stable Attribution is an AI attribution tool that helps identify source images used in Stable Diffusion generations. It aims to credit original artists and facilitate ethical AI image creation.
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About
Stable Attribution is a tool designed to find the original source images that influenced AI-generated images, specifically those created with Stable Diffusion models. It works by decoding an AI-generated image into the most similar examples from the training data, allowing users to identify the human artists whose work contributed to the AI output. The platform emphasizes the importance of crediting artists, enabling potential revenue sharing, and fostering ethical AI development. It was built by Jeff Huber and Anton Troynikov at Chroma, a startup focused on making AI understandable. The tool aims to improve attribution for generative models and is actively researching ways to directly attribute work to artists.
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Pricing & Plans
Likely Free
Not publicly disclosed. Check stableattribution.com for current pricing.
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