christophschuhmann/improved-aesthetic-predictor

Health v2 · maintenance only

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1338 stars · 114 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A CLIP+MLP neural network that predicts how much people on average like an image, trained on AVA dataset ratings. It is widely used for filtering and ranking image datasets, notably LAION and Stable Diffusion training data.

Use cases

• score the aesthetic quality of images
• filter image datasets for training diffusion models
• rank generated images by human preference
• curate LAION subsets by aesthetic score
• predict average human ratings for photos

When to choose

• you need a lightweight aesthetic scorer built on CLIP embeddings
• you are curating large-scale image-text datasets
• you want a proven model used in Stable Diffusion data pipelines

When to avoid

• you need fine-grained image quality metrics like sharpness or noise
• you cannot run CLIP embeddings
• you need video or audio aesthetic scoring

Facets

library · maturity stable

machine-learning image-processing data-science machine-learning artificial-intelligence image-processing python clip aesthetic-scoring image-quality laion stable-diffusion gpu

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