moonworks/lunara-aesthetic

Lunara美学数据集是一个精心策划的集合，包含2000个高质量的图像-提示对，专为文本到图像生成中的提示基础、风格条件和美学对齐的受控研究而设计。所有图像均使用Moonworks Lunara模型生成，该模型采用新颖的扩散混合架构和Moonworks CAT方法训练。图像与经过人工精炼的提示和结构化标签配对。数据集优先考虑清晰性、一致性和许可透明度，而非规模。每个样本包含图像（1024×1024）、描述性自然语言提示、广泛的区域美学标签、艺术风格或媒介类别以及高级语义主题。

The Lunara Aesthetic Dataset is a curated collection of 2,000 high-quality image–prompt pairs designed for controlled research on prompt grounding, style conditioning, and aesthetic alignment in text-to-image generation. All images are generated using the Moonworks Lunara, a sub-10B parameter model at inference with a novel diffusion mixture architecture and trained with Moonworks CAT method. The images are paired with human-refined prompts and structured labels. The dataset prioritizes clarity, consistency, and licensing transparency over scale. Each sample contains an image (1024×1024), descriptive natural-language prompt, broad regional aesthetic tag, artistic style or medium category, and high-level semantic topic.