月光作品 Lunara 美学 II：一个图像变化数据集
Moonworks Lunara Aesthetic II: An Image Variation Dataset
AI总结：
Lunara Aesthetic II 是一个用于评估图像生成和编辑系统中上下文一致性的公开数据集，通过保持身份的上下文变换提供监督信号，具有高美学评分和稳定的身份特征。
摘要：
我们介绍了Lunara Aesthetic II，一个公开发布的、伦理来源的图像数据集，旨在支持对现代图像生成和编辑系统中上下文一致性进行受控评估和学习。该数据集包含2,854个锚定的变体对，源自Moonworks创作的原创艺术和照片。每对变体应用上下文转换，如照明、天气、视角、场景构图、颜色基调或情绪；同时保持稳定的底层身份。Lunara Aesthetic II将保持身份的上下文变化作为监督信号，同时保留Lunara标志性的高美学评分。结果表明，具有高身份稳定性、强目标属性实现和稳健的美学特征，超过了大规模网络数据集。该数据集以Apache 2.0许可证发布，旨在用于评估、微调和分析图像生成和图像到图像系统中上下文泛化、身份保持和编辑鲁棒性，具有可解释、关系性的监督。该数据集在：https://huggingface.co/datasets/moonworks/lunara-aesthetic-image-variations上公开可用。
英文摘要：
We introduce Lunara Aesthetic II, a publicly released, ethically sourced image dataset designed to support controlled evaluation and learning of contextual consistency in modern image generation and editing systems. The dataset comprises 2,854 anchor-linked variation pairs derived from original art and photographs created by Moonworks. Each variation pair applies contextual transformations, such as illumination, weather, viewpoint, scene composition, color tone, or mood; while preserving a stable underlying identity. Lunara Aesthetic II operationalizes identity-preserving contextual variation as a supervision signal while also retaining Lunara's signature high aesthetic scores. Results show high identity stability, strong target attribute realization, and a robust aesthetic profile that exceeds large-scale web datasets. Released under the Apache 2.0 license, Lunara Aesthetic II is intended for benchmarking, fine-tuning, and analysis of contextual generalization, identity preservation, and edit robustness in image generation and image-to-image systems with interpretable, relational supervision. The dataset is publicly available at: https://huggingface.co/datasets/moonworks/lunara-aesthetic-image-variations.
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