Stable Attribution
A tool that identifies the human artists whose work contributed to the creation of an AI-generated image, and lets you share their attribution link.
AI AttributionArtist RightsImage ForensicsEthical AICreative ToolData ProvenanceArt CommunityImage CreditAI EthicsTraining DataArtist RecognitionTransparency
Stable Attribution Introduction
Stable Attribution is an essential ethical tool in the AI art ecosystem, attempting to create a bridge between the new world of AI generation and the human creativity that powers it. It addresses the controversy around artists' work being used without credit by making it possible to identify and link back to those artists. AI artists and the community can use it for responsible creation. Core features include a reverse-image-search for training data, a focus on artist recognition, and a contribution to the ongoing, critical conversation about AI ethics.
Key Features
- Upload an AI-generated image to find its likely human training sources
- Provides links to the original artists and their portfolios
- Raises awareness of the artists behind the training data
- Helps AI art users ethically credit inspirations
- A unique tool in the conversation around AI art and copyright
- Reverse searches an AI-generated image to find similar images in the training dataset
- Identifies the original artists or photographers whose work influenced the generation
- Generates an attribution link that can be shared to credit the source creators
- Promotes transparency and ethical use of AI in creative fields
- Works with images generated by popular models like Stable Diffusion
