[R] An open source dataset of aesthetic image variations (Apache 2.0)

Paper: https://arxiv.org/pdf/2602.01666
Dataset: https://huggingface.co/datasets/moonworks/lunara-aesthetic-image-variations
Colab notebook: https://colab.research.google.com/drive/1xrtJNS4rljgVa_6UKCuanyS2syJ0QZ7b

After part I saw many downloads on huggingface, we’re now sharing part II. While part I focused on aesthetic art styles, part II focuses on contextual variations, a key component of learning in Moonworks Lunara model. The dataset consists of original images and artwork created by Moonworks and their aesthetic contextual variations generated by Lunara, a sub-10B model with diffusion mixture architecture.

We hope the dataset can be used to train LoRA, fine-tune image generation models, and help research in image-edit models.