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Portrait & Photography

Multi-Scene Identity Preservation Collage

Multi-Scene Identity Preservation Collage is a reusable Portrait & Photography example from Professor, including the full prompt, source link, and output media.

Case Media

Case Notes

This page keeps the media, full prompt, and original source together so you can inspect the result first and decide whether the prompt is worth copying, saving, or comparing.

Case Insights

To make this page easier to search, cite, and reuse later, the case is also broken down into practical guidance about usage, visual cues, and prompt structure.

Best Fit Scenarios

  • Use this as a portrait & photography benchmark when you need a fast style baseline before rewriting your own prompt.
  • It is especially helpful if your target overlaps with Portrait, Cinematic, City Visual and you want to judge the image result before tuning wording.
  • Keep it as a control sample when you compare nearby prompt variants one variable at a time.

Visual Signals To Notice

  • The clearest style signals here are Portrait, Cinematic, City Visual, so those should usually stay in your first rewrite.
  • Focus on framing, light direction, pose, and the distance between subject and camera.
  • This case keeps one primary output, so the first image should be treated as the main visual reference.

How The Prompt Is Structured

  • The prompt reads as a long, highly specified prompt, which is useful when you want to judge how much specificity this direction needs.
  • Its keyword cluster is centered on Portrait, Cinematic, City Visual, so you can usually keep that cluster while swapping subject, camera, layout, or copy details.
  • A practical rewrite path is: keep the outcome, keep the strongest style cues, then replace only the subject and environment blocks.

Good Follow-up Questions

  • What changes first if you keep Portrait, Cinematic, City Visual but switch the subject matter?
  • Which part of the result comes from section-level structure (Portrait & Photography) versus tag-level style cues?
  • Which related cases in the same section give you a cleaner or more extreme variation of the same direction?

Full Prompt

Use my uploaded face image as the primary identity reference. Preserve my exact facial identity, face shape, hairstyle, hair texture, beard style, skin tone, eye shape, eyebrows, nose, lips, and all unique facial details with maximum accuracy. Do not change my face or make me look like a different person. Create a hyper-realistic cinematic 4-panel vertical collage portrait of the same person in different luxury travel lifestyle scenes. Maintain the same face identity in all four panels. Panel 1 (top left): A man standing casually in front of a {argument name="vehicle" default="black off-road SUV"} on a {argument name="weather" default="rainy mountain road"}. Misty pine forest in the background, cloudy dramatic sky, wet asphalt reflections. Wearing a black denim jacket over a white t-shirt, light blue jeans, and white sneakers. Confident relaxed pose, cinematic moody lighting. Panel 2 (top right): The same man sitting on a wooden balcony of a mountain resort cabin during evening. Warm fairy lights hanging above, lantern on the table, green mountains in the background. Wearing a {argument name="outfit" default="dark green casual shirt"}, beige pants, sunglasses, relaxed luxury vacation vibe. Panel 3 (bottom left): The same man sitting on large rocks beside a flowing river in a forest. Natural outdoor setting, soft overcast lighting. Wearing an off-white linen shirt with sleeves rolled up, black pants, white sneakers. Thoughtful cinematic pose. Panel 4 (bottom right): The same man standing on a seaside wooden deck during golden sunset. Ocean waves, palm trees, warm sunset glow. Wearing a black open shirt and beige pants, looking down with a calm stylish expression. Style: ultra-realistic photography, DSLR quality, cinematic color grading, luxury travel aesthetic, natural skin texture, realistic lighting, high detail, 8K, professional portrait photography. Ensure the face remains identical in every panel.

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