ConceptBed/evaluations
[AAAI 2024] ConceptBed Evaluations for Personalized Text-to-Image Diffusion Models
This project offers an evaluation framework for researchers working with personalized text-to-image generative AI models. It helps assess how well these models learn and combine specific visual concepts. You input a collection of images generated by your text-to-image model, and it outputs performance metrics and visualizations showing how accurately your model understood and aligned with the intended concepts.
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Use this if you are a researcher or AI practitioner developing or fine-tuning personalized text-to-image diffusion models and need a standardized way to evaluate their ability to learn and compose visual concepts.
Not ideal if you are an end-user simply generating images and not focused on the underlying model's conceptual learning performance.
Stars
25
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jun 01, 2023
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/ConceptBed/evaluations"
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