Sumeragi Natsuki<span style="background-color:rgb(255, 255, 255);color:rgb(38, 38, 38);font-family:-apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, Tahoma, &quot;PingFang SC&quot;, &quot;Microsoft Yahei&quot;, Arial, &quot;Hiragino Sans GB&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Symbol&quot;, &quot;Noto Color Emoji&quot;;font-size:16px"> (皇 名月<span style="background-color:rgb(255, 255, 255);color:rgb(38, 38, 38);font-family:-apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, Tahoma, &quot;PingFang SC&quot;, &quot;Microsoft Yahei&quot;, Arial, &quot;Hiragino Sans GB&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Symbol&quot;, &quot;Noto Color Emoji&quot;;font-size:16px">, born August 21, 1967) is a Japanese manga artist and illustrator from Osaka. She graduated from Ritsumeikan University with a degree in Japanese literature. Sumeragi is renowned for her distinctive artistic style portraying Chinese and Korean history in her works. Her art is characterized by quaint, elegant, and romantic depictions of the ancient world. Beyond manga, she has also created illustrations for novels, with notable artbooks including Gashu<span style="background-color:rgb(255, 255, 255);color:rgb(38, 38, 38);font-family:-apple-system, &quot;system-ui&quot;, &quot;Helvetica Neue&quot;, Tahoma, &quot;PingFang SC&quot;, &quot;Microsoft Yahei&quot;, Arial, &quot;Hiragino Sans GB&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Segoe UI Symbol&quot;, &quot;Noto Color Emoji&quot;;font-size:16px"> released in 2005, showcasing her exceptional talent in historical and cultural storytelling.

Sumeragi Natsuki's Manga Style Lora

A new version featuring a black and white line art style, trained on the old dataset and closely resembling the flux iteration. This version still exhibits errors in hand line work, primarily attributed to the scarcity of high-definition training images that adequately display hand details. However, the error rate has significantly reduced compared to the previously unreleased, unsuccessful iteration.

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