Diya Tray Couple Portrait

AI prompt for ChatGPT ·

About this prompt

Create a festive couple portrait in ChatGPT, with a man and woman holding a glowing diya tray. Customise their outfits and warm, blurred background.

How to use this prompt

  1. Open ChatGPT and select the image generation option.
  2. Upload a clear reference photo of the man and the woman.
  3. Copy the complete prompt template and paste it into ChatGPT.
  4. Keep the default traditional outfits or customise the man's outfit and woman's saree using the dropdown variables.
  5. Choose your preferred background tones and set the image aspect ratio.
  6. Generate the image and check the faces, traditional outfits, gold tray and glowing diyas.

Tip: Experiment with a maroon saree or a warm golden bokeh background for another festive look.

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Live Compiled Prompt1266 chars
Create an ultra-realistic, premium medium portrait of a smiling man and woman in traditional Indian festive attire jointly holding a round gold tray of lit oil lamps (diyas). Preserve the exact facial identity, facial features, facial proportions, bone structure, and natural skin tones of both people from their respective uploaded reference images. Do not alter their identities. The man, on the left, is wearing textured white kurta with rolled-up sleeves, looking slightly off-camera with a broad smile. The woman, on the right, is wearing bright red saree with gold polka dots. She looks down gently at the glowing diyas. Warm, practical lighting from the diyas illuminates their faces and torso, complemented by soft ambient rim lighting. The background is heavily blurred with warm orange and gold tones, featuring large circular bokeh lights. Shot with a shallow depth of field, vivid festive colours, rich contrast, and sharp focus on the subjects. Aspect ratio: NEEDS INPUT. NEGATIVE PROMPT: black and white, cool lighting, modern casual clothing, missing tray, unlit diyas, deep depth of field, sharp background, flat lighting, dull colors, poorly drawn hands, missing jewelry, gloomy expressions, wide angle, distorted proportions, low resolution.

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