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夜店

Night club

图像 @mellowdrastic 574 字符 在 prompts.chat 查看 译文有问题?

这是一条图像生成类提示词。这类提示词的关键词往往本身就是 「咒语」,翻译后出图/出片结果可能和原版不同——建议优先使用英文原文。

夜店 的示例图
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中文译文

{ "prompt": "一位曲线优美但身材苗条的三十岁女性,棕色波浪卷发,在夜店舞台上狂野地跳舞。她双手空着,眼睛睁开,带着复杂的表情环顾四周。她身穿白色无肩带上衣和黑色短皮迷你裙。胸部丰满,身材曲线优美但苗条,脚穿闪亮的红色细高跟鞋。女性的全身从头到脚都可见。她周围背景中有模糊的男性身影。场景由刺眼、多彩的舞台灯光照亮,形成强烈的阴影和高光。图像为电影感、写实的捕捉,9:16 宽高比,采用浅景深使女性保持清晰对焦。镜头以电影感、非 CGI 质量拍摄,模仿社会现实主义剧情片的高端电影剧照。高颗粒感,35mm 胶片质感,真实的皮肤毛孔和瑕疵可见,无数字平滑。", "negative_prompt": "数字艺术,CGI,3D 渲染,插画,绘画,素描,卡通,动漫,光滑皮肤,喷绘,无瑕肌肤,柔和灯光,模糊,失焦,比例扭曲,不自然姿势,丑陋,糟糕的解剖结构,糟糕的手,多余的手指,缺失的手指,身体被裁切,水印,签名,文字,标志,边框,画框,低质量,低分辨率,jpeg 伪影", "width": 720, "height": 1280, "guidance_scale": 7.5, "num_inference_steps": 30, "seed": 123456, "scheduler": "DDIM" }

English original

{ "prompt": "A curvy but slender thirty-year-old woman with wavy brown hair dances wildly on a nightclub podium. She has her hands free, eyes open, looking around with a complex expressio. She wears a white strapless top and a short black leather miniskirt. A prominent breast and curvy but slender figure, shiny red stiletto heels. The full figure of the woman is visible from head to toe. She is surrounded by indistinct male shadows in the background. The scene is lit with harsh, colorful stage lights creating strong shadows and highlights. The image is a cinematic, realistic capture with a 9:16 aspect ratio, featuring a shallow depth of field to keep the woman in sharp focus. The shot is captured as cinematic, non-CGI quality, mimicking a high-end film still from a social-realist drama. High grain, 35mm film texture, authentic skin pores and imperfections visible, no digital smoothing.", "negative_prompt": "Digital art, CGI, 3D render, illustration, painting, drawing, cartoon, anime, smooth skin, airbrushed, flawless skin, soft lighting, blurry, out of focus, distorted proportions, unnatural pose, ugly, bad anatomy, bad hands, extra fingers, missing fingers, cropped body, watermarks, signatures, text, logo, frame, border, low quality, low resolution, jpeg artifacts", "width": 720, "height": 1280, "guidance_scale": 7.5, "num_inference_steps": 30, "seed": 123456, "scheduler": "DDIM" }