画質 高画質

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AIに女の子のイラストを描いてもらった
txt2img
Model: いろいろ混ぜた混合モデル

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③緒賀葛(DX3)×小豆屋遊珂(DX3)
職場の後輩がたまに怖い。(後輩が自分にヤンデレ感情向けてると知らない先輩と、先輩目当てに圏外からこのバイト先に通う後輩) 

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②墨前ゆゐ(恋結び)×アカクチナシ(深君)
食べるのが苦手なひと(酒だけ飲みたい)と、食べるの大好きなひと(大食い体育会系)。

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プロンプトのみで一からキャラメイクしていく感じではなくて、確実にウナちゃんに見えるものを、どこかの絵師が描いたようにAIに生成してもらうにはimg2imgも有効なプロセスかもしれませんねぇ
(1枚目: 元ネタのMMD静画 2枚目:AI解釈)

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①平坂詠(DX3)×新島宝(DX3)
ニンゲンかわいいだいしゅき!ぺろぺろ!(物理ぺろぺろ)に絡まれる弊社随一美少女。#8739img

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Some rejects. Most of my early attempts covered one eye, which I didn't mind really. They kinda went to shit during the img2img process. Loads of potential if anyone wants to give these a try.

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breaker of hearts 💔 AI-chan

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試行錯誤の末、ようやくマスクが装着された。
左がtxt2img、右が同じ設定の自撮りimg2img。
ネガティブにwavy hairを入れるとファサーは無くなるけど、ウェーブヘア(curly)が通らない。
()を使うか、シード変えて頑張るかってとこ。
次は髪色をもう少し変えたい。

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(2/10) There are many different rules and they depend on the desired rendering.
To fully cover primary needs, the tile rules handle 47 cases.

img1 > shape of the tiles
img2 > the rule : presence or absence of neighbouring tiles around the drawn one
img3 > example of rendering.

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