
Original document
GPT Image 2 · en
A warm, realistic cinematic interior scene of a Chinese family of four in the 1980s sitting at home watching television. The room is modest and nostalgic, lit by soft afternoon sunlight coming through a large old wooden window on the right. There are exactly 4 family members: a father seated on the left in a wicker chair wearing a blue work jacket and dark trousers, a mother seated near the center-right wearing a long-sleeved floral blouse and simple slacks, a young daughter sitting on the sofa in a red pinafore dress over a light shirt with white socks and dark red shoes, and a young son beside her wearing blue overalls over a light shirt. All 4 people are turned toward the television in a calm, everyday family moment. In the center of the room is a small vintage CRT television on a low two-door cabinet, with rabbit-ear antenna extended, showing a brightly costumed TV performer in red and yellow traditional stage clothing. Behind the TV is a worn yellow plaster wall with age marks and a framed portrait of a couple hanging above. On the left stands a tall distressed green metal wardrobe with peeling paint, with 1 brown suitcase placed on top. On the right is a floral-patterned sofa with a white lace cover draped over the back. The large window has 2 red circular paper-cut decorations with the Chinese character for good fortune attached to the glass. The floor is made of old stone or brick tiles, uneven and aged. Use authentic Chinese 1980s home details, slightly faded colors, textured surfaces, lived-in furniture, and a documentary-style nostalgic atmosphere. Eye-level composition, wide shot, natural proportions, photorealistic detail, warm earthy color palette, subtle cinematic realism.How to use
- Copy the complete original prompt, including any parameters.
- Replace the subject, text and composition with your own requirements.
- Use a compatible external tool; check its current access conditions and review the result.
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- Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
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