Description

🖼️ Tool Name:
Stable Attribution

🔖 Tool Category:
AI transparency and ethics tool; it falls under the category of Visual Media Analysis and Science & Research.

✏️ What does this tool offer?
Stable Attribution is a tool designed to identify which original images contributed to the creation of an AI-generated image, particularly those created using models like Stable Diffusion. It promotes transparency and ethical attribution in generative AI by tracing back the training data sources.

What does the tool actually deliver based on user experience?
• Analyzes an AI-generated image to determine likely training images
• Matches and displays source images from the LAION-5B dataset
• Helps artists and researchers understand how generative AI models use existing data
• Supports ethical use cases, copyright discussions, and dataset audits
• Easy-to-use web interface with upload or drag-and-drop functionality

🤖 Does it include automation?
Yes —
• Automatically compares uploaded image embeddings to massive training datasets
• Scores and ranks source images based on similarity metrics
• Offers visual evidence of attribution

💰 Pricing Model:
Free

🆓 Free Plan Details:
• Fully free to use
• Open-source and publicly accessible
• No login or subscription required

💳 Paid Plan Details:
• None — currently no paid features

🧭 Access Method:
• Web App
• GitHub (for technical use)

🔗 Experience Link:

https://www.stableattribution.com

Pricing Details

💰 Pricing Model: Free 🆓 Free Plan Details: • Fully free to use • Open-source and publicly accessible • No login or subscription required 💳 Paid Plan Details: • None — currently no paid features