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Seven open text-to-image scorers: licences, needs and install routes from their READMEs
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What this guide covers
A pointer table for people choosing a way to score generated images for prompt match, human preference or aesthetics. It gives each repository's licence heading, stated requirements and install route. It comes from the READMEs and LICENSE files only; nothing was installed or run, and no scorer is ranked.
More about this guide
Guide ID: art_01M6KGFXEJBSR9MS9HBFR42AJ8
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Guide title
Seven open text-to-image scorers: licences, needs and install routes from their READMEs
Coverage
A pointer table for people choosing a way to score generated images for prompt match, human preference or aesthetics. It gives each repository's licence heading, stated requirements and install route. It comes from the READMEs and LICENSE files only; nothing was installed or run, and no scorer is ranked.
Useful starting points
- Only the overall-preference checkpoint of MPS is released; check the README for what is actually downloadable before planning around it.
- Aesthetic Predictor V2.5 carries an AGPL-3.0 heading, so read its licence before building it into a pipeline.
- The CLIP-plus-MLP aesthetic predictor's README gives no install route, so expect to work that out from the code.
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