Elegant Woman AI Image Prompt Example & Output
ポーズや表情、背景などを指示して画像を再生成。生成物は右の「生成物」パネルに追加されます。高解像度ダウンロードは¥150(税込)で解放されます。
【プロンプト】
(best quality:1.2), (masterpiece:1.2), ultra high res, (photo-realistic:1.4), super fine illustration, vibrant colors, masterpiece, sharp focus, best quality, depth of field, cinematic lighting, ultra detailed, (adorable:1.4), (adorable:1.4), (elegant beauty:1.3), gentle expression, silky black hair tied in a bun, wearing a flowing white dress, standing in an elegant room with large windows, soft natural light streaming in, cinematic lighting, ultra fine details.,
【ネガティブプロンプト】
(worst quality:2), (low quality:2), blurry, extra limbs, extra fingers, deformed body, bad hands, bad legs, low, pixelated, noise, warped perspective, bad anatomy, asymmetrical face, wrong species anatomy, unnatural expression, bad lighting, overexposed, underexposed, over-sharpened, disfigured features, bad proportions, harsh shadows, artificial-looking, overly smooth skin, missing details.,
【Model】
Stable Diffusion checkpoint・・・beautifulRealistic_v7.safetensors
Beautiful Realistic Asians – v7 | Stable Diffusion 1.x Checkpoint | Civitai
【その他の設定】
■ Sampling method・・・DPM＋＋2M
■ Sampling steps・・・20
■ Width・・・512
■ Height・・・512
■ CFG Scale・・・7
Prompt Overview
This prompt demonstrates how a simple, evocative phrase describing an elegant woman can guide an AI image generator toward producing refined, sophisticated visual output. It is ideal for designers, creative directors, and content creators who need polished portrait references, mood board imagery, or stylized character concepts without requiring lengthy technical descriptions.
Because the instruction is intentionally concise, it gives the model creative latitude while anchoring the result around a clear aesthetic tone. To refine the output further, consider layering in details such as lighting style, color palette, era, or setting — for example, specifying soft studio lighting, a monochrome palette, or a mid-century fashion context. Models like Midjourney, Stable Diffusion, or DALL-E all respond well to this type of open yet directed phrasing, making it a strong starting point for iterative visual development.
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