Popular GitHub Repositories for Aesthetics

Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.

CLIP-based aesthetics predictor inspired by the interface of ? huggingface transformers.

Code for the paper "IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models"

[TCSVT 2024] Official code release of our paper "Towards Explainable Image Aesthetics Assessment With Attribute-Oriented Critiques Generation"

Applying Evolutionary Computing to Diffusion Models

MIRROR of https://codeberg.org/catseye/Kolakoski-Kurve : A 2-dimensional depiction of the self-describing Kolakoski sequence

black-forest-labs/FLUX.1-dev and black-forest-labs/FLUX.1-Krea-dev. This merged model integrates the capabilities of the rectified flow transformer FLUX.1-dev, known for competitive prompt following and high-quality outputs, with FLUX.1-Krea-dev, a guidance distilled model emphasizing aesthetics and photorealism.

black-forest-labs/FLUX.1-dev and black-forest-labs/FLUX.1-Krea-dev. This merged model integrates the capabilities of the rectified flow transformer FLUX.1-dev, known for competitive prompt following and high-quality outputs, with FLUX.1-Krea-dev, a guidance distilled model emphasizing aesthetics and photorealism.

PixelPop is an instant wallpaper generator that empowers anyone—no design skills needed—to create stunning, high-res, personalized backgrounds. With a simple interface and endless customization, users can generate unique styles in seconds. PixelPop reimagines wallpaper creation as an expressive, accessible, and creative experience for all.

Bot that fetches random images from Tumblr, analyzes their aesthetics, and posts them on Bluesky.