Ultra-Realistic Smartphone Portrait of Two Women in Red AI Image Prompt
Join Our WhatsApp Channel for Latest UpdatesA detailed prompt for generating an ultra-realistic, high-end smartphone-style portrait of two stylish young women seated on a white leather sofa in a bright modern lounge, specifying their hair, makeup, red outfits, and the soft natural daylight setting.
Prompt
{
"prompt": "Ultra-realistic high-end smartphone-style portrait, 4:5 vertical, 8K resolution. Two stylish young women in their mid-20s seated on a white leather sectional sofa in a bright modern lounge.\n\n Left woman: long sleek dark high ponytail, polished glam makeup with defined brows and natural-toned lips, calm focused expression while looking at an orange smartphone. Wearing a structured red fitted top with clean seam detailing and tailored shorts or skirt. Black sheer tights and pointed heels. Relaxed seated posture.\n\n Right woman: light red hair styled in a neat low bun, refined makeup with soft glossy lips, friendly confident smile toward the camera. Wearing a red halter-style fitted dress with elegant tailoring. Black sheer tights and pointed heels. Seated beside her in a natural relaxed pose.\n\n A yellow handbag placed next to them on the sofa.\n\n Environment: bright upscale apartment lounge with white walls, warm wood accents, indoor potted plant, light wood coffee table, soft carpet, large windows with sheer curtains and greenery visible outside, subtle decorative neon wall sign.\n\n Lighting: soft diffused natural daylight, warm ambient tones, gentle highlights, no harsh shadows.\n\n Camera: eye-level medium full-body framing, natural smartphone photo perspective, moderate depth of field.\n\n Overall mood: modern luxury lifestyle photography, daytime fashion aesthetic, clean influencer-style composition, photorealistic skin tones and detailed fabric textures."
}
How to use this prompt
Copy the prompt above and paste it into an AI image generator such as Google Gemini (Nano Banana) or a similar tool. Replace any bracketed placeholders with your own details, then generate and refine the result.
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