
Multi-Scene Identity Preservation Collage
A sophisticated identity-preservation prompt that creates a four-panel vertical collage of the same person in different luxury travel settings while maintaining facial consistency.
This is a GPT Image 2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.
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Prompt
Copy-ready 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.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Best for
- - Portrait & Character visual exploration
- - Image generation and reference-image edits
- - Reusable briefs that keep source attribution visible
Change these parts
- - Subject, product, character, or scene
- - Aspect ratio, camera, lighting, and background
- - Brand, text, color, and output constraints
Recommended model and settings
- - Model: gpt-image-2
- - Input mode: Image to Image
- - Aspect ratio: source
- - Commercial status: review original source
How to use this prompt
- 1. Copy the prompt and preserve its structure for the first test.
- 2. Replace the subject, context, and publishing channel.
- 3. Change one camera, lighting, or style variable per iteration.
- 4. Inspect the output, source, text, and rights before reuse.
Limitations, source, and reuse cautions
- - Generated output is an editable draft, not factual, legal, or rights evidence.
- - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
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Reuse and source notes
Use this prompt safely after previewing the case.
- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.
Can I use this prompt commercially?
Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.
Where does this case come from?
This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.