mononobe no futo,1girl, solo, tate_eboshi, open_mouth, ribbon-trimmed_sleeves, kariginu, white_background, wide_sleeves, simple_background, ponytail, pom_pom_\(clothes\), hands_in_opposite_sleeves, facing_viewer, :d, long_sleeves, ^_^, ribbon, head_tilt, blue_headwear, blue_skirt
<lora:mononobe_no_futo_image4909_2023-12-20-000007:1>,star-shaped_pupils,symbol-shaped_pupils,. gorgeous,key visual, vibrant, studio anime,award-winning, professional, highly detailed,high budget, cinemascope
mononobe no futo,1girl, solo, wide_sleeves, open_mouth, blue_skirt, tate_eboshi, simple_background, blue_headwear, green_background, ribbon-trimmed_sleeves, sleeves_past_fingers, :d, looking_at_viewer, long_sleeves, ponytail, kariginu, blush, green_ribbon, pom_pom_\(clothes\), frilled_skirt, red_ribbon
<lora:mononobe_no_futo_image4909_2023-12-20-000007:1>,star-shaped_pupils,symbol-shaped_pupils,. gorgeous,key visual, vibrant, studio anime,award-winning, professional, highly detailed,high budget, cinemascope
mononobe no futo,1girl, solo, traditional_media, marker_\(medium\), sample_watermark, ponytail, tate_eboshi, smile, checkered_background, kariginu, skirt, wide_sleeves, petals, blush
<lora:mononobe_no_futo_image4909_2023-12-20-000007:1>,star-shaped_pupils,symbol-shaped_pupils,. gorgeous,key visual, vibrant, studio anime,award-winning, professional, highly detailed,high budget, cinemascope
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* This model is not available for use and might generate different characters compared to the ones seen in the images.
Model Description by Creator
https://github.com/deepghs/waifuc/tree/main
The model data source is derived from Waifuc, a highly robust tool for crawling, filtering, and processing training sets. With the aid of the Waifuc tool and a single 5600g machine, it is possible to efficiently crawl and process over 3000 training images within a span of 2 hours. Training the character "Lora" on this extensive dataset yields significant performance advantages compared to situations with limited data availability.
Trigger Words in page,other tag in lora metainfo.
recommand use model: Kohaku_XL https://civitai.com/models/162577/kohaku-xl-beta
weight: 0.8~1
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