聊天GPT

家庭照片 — 復古、霓虹燈

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列出的工具:聊天GPT。完整說明:4,222 個字元。 1 個提供的範例影像。

This prompt mentions reference images. Read its instructions for the required number of photos and identity constraints. We have not independently tested this prompt. Tool labels and supplied images are not a guarantee of compatibility or output quality.

完整提示詞

Use the uploaded photograph as the strict facial-identity reference, preserving her exact recognizable face, natural skin tone, facial proportions, eyes, nose, lips, and identity. Create a candid 1960s Nepalese everyday-life photograph of her sitting outside a small traditional roadside tea shop in an old Kathmandu/Bhaktapur-style neighborhood during a quiet late afternoon. She is not posing for a fashion shoot; she looks like a real young Nepali woman naturally spending an ordinary afternoon.

She sits comfortably on a simple old wooden bench beside a small weathered wooden tea stall, with one hand naturally holding a small traditional glass/cup of hot tea and the other resting casually in her lap. She looks slightly toward the passing street with a gentle, genuine, relaxed smile. Her posture is completely natural and unforced. A faint breeze moves a few strands of her loose dark hair.

The tea shop should look genuinely from the 1960s: aged wooden counter, hand-painted faded lettering, old glass jars containing tea and biscuits, simple metal kettle, traditional clay/metal utensils, worn wooden stools, an old tabletop radio, dusty shelves, and a slightly weathered canopy. The street behind her should contain only period-authentic Nepalese details—old brick-and-plaster buildings, traditional wooden windows, pedestrians in period clothing, bicycles, an occasional old-fashioned bicycle rickshaw or period vehicle, dusty road, faded walls, and subtle signs of everyday life. No modern cars, motorcycles, plastic chairs, electric advertisements, LED lights, smartphones, modern shops, contemporary buildings, or modern packaging anywhere.

Use a restrained 1960s South Asian color palette: dusty cream, faded brown, muted brick red, soft olive, warm grey, aged beige, and subdued earthy tones. Nothing should appear neon, digitally saturated, glossy, or contemporary. Her clothing should be simple and period-appropriate everyday traditional clothing, naturally worn rather than styled like modern fashion.

The photograph should feel like a real old family photograph taken in Nepal around 1965, not a modern photograph with a vintage preset. Use a simple old analog-camera perspective, approximately 50mm, natural eye-level framing, modest depth of field, slightly imperfect focus, soft detail, mild exposure inconsistency, subtle motion softness, visible fine film grain, tiny dust particles, faint scratches, faded colors, slight yellowing, gentle contrast, and naturally aged photographic texture. Keep the image slightly imperfect and believable rather than extremely sharp or polished.

Compose it as a vertical environmental portrait, showing the woman from approximately the head to below the knees while allowing enough of the tea shop and old street to establish the period. The surrounding environment should carry as much visual importance as the woman. Warm late-afternoon sunlight falls naturally from one side, catching the tea glass, her face, wooden surfaces, and dusty street while leaving soft natural shadows.

Style: Authentic 1960s Nepalese everyday-life photography, old family-album photograph, documentary portrait
Key elements: Small roadside tea stall, glass of tea, wooden bench, old radio, bicycles, traditional architecture, dusty street, natural candid smile
Lighting: Soft 5 PM natural sunlight, warm but muted, imperfect real-world exposure
Camera: Old analog film camera, 50mm perspective, vertical environmental portrait, slightly soft focus, modest depth of field
Color: Faded earthy brown, beige, brick, olive and muted cream; no modern saturated colors
Texture: Genuine aged film grain, faded print, dust, tiny scratches, slight blur, uneven exposure, naturally deteriorated photograph

Negative: Modern objects, smartphones, motorcycles, modern cars, plastic furniture, LED lights, contemporary buildings, modern clothing, modern packaging, neon colors, HDR, 4K sharpness, modern DSLR appearance, computational photography, excessive cinematic color grading, teal-orange tones, glossy skin, beauty filter, perfect digital clarity, artificial bokeh, overly polished AI image, futuristic details, newly manufactured-looking surroundings, modern fashion photography.

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