AI Prompt Aura

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Explore the world of design and learn how to create visually stunning artwork.

With AI tools like Google Gemini, creators can now generate cinematic, ultra-realistic images featuring themselves sitting in a cinema hall alongside Border 2 movie celebritiesโ€”without Photoshop, After Effects, or complex editing.

This guide walks you through exact steps to create movie-quality images while keeping your face 100% original.

๐Ÿ› ๏ธ Step-by-Step: How to Create the Image in Gemini 3.1

Follow these simple steps โ€” no extra settings required.

โœ… Step 1: Open Gemini 3.1

  • Go to Gemini (latest version / Gemini 3.1)

  • Make sure Image Generation / Image-to-Image is enabled

โœ… Step 2: Upload Your Photo

  • Upload a clear photo of yourself

  • Face should be visible (front or slight angle works best)

  • Avoid heavy filters or blur

๐Ÿ“Œ This photo will be used as Charactersย 

โœ… Step 3: Copy the Prompt

  • Choose one prompt from the list (Sunny Deol / Varun Dhawan / Diljit Dosanjh / Sonam Bajwa / Ahan Shetty)

  • Copy the full prompt exactly as it is

โœ”๏ธ You do NOT need to change anything
โœ”๏ธ Celebrity name stays as written

โœ… Step 4: Paste Prompt into Gemini

  • Paste the copied prompt directly into Gemini chat

  • Do not add extra words

  • Do not shorten the prompt

๐Ÿ“Œ Gemini automatically understands:

  • Celebrity identity

  • Outfit style

  • Cinema environment

  • Cinematic lighting

โœ… Step 5: Generate the Image

  • Click Generate

  • Wait a few seconds

  • Gemini will create a photorealistic cinematic image

If needed:

  • Regenerate once or twice for better framing

๐ŸŽฅ Why This Works So Well

โœ”๏ธ Keeps your face 100% original
โœ”๏ธ No AI face reshaping
โœ”๏ธ No beauty filters
โœ”๏ธ Natural skin texture
โœ”๏ธ Realistic cinema lighting
โœ”๏ธ Movie-poster quality output

Perfect for:

  • Instagram Reels

  • AI influencer content

  • Viral cinema trends

  • Portfolio visuals

๐Ÿ”น PROMPT 1 (Basic Cinema Sitting โ€“ Neutral)

 

Keep the face 100% original and unchanged.
No face reshaping, no beauty filter, no AI facial modification.
Preserve real skin texture, facial features, expression, and identity exactly as the original.

Create an ultra-realistic cinematic photo using the uploaded reference image as the base.

Main Subjects: Two characters sitting side-by-side in a cinema hall.
Young man (age 20โ€“25), fair to wheatish skin tone, slim build.
Outfit Details: White short-sleeve casual shirt, loose fit.

White Adidas-style sneakers with black stripes. Silver bracelet and ring on hand. Black Apple smartwatch. Rectangle black sunglasses. No extra accessories.

Character 2:
Actor Sunny Deol (Border 2 movie outfit).
Holding a popcorn bucket.

Pose Details:
Both characters sitting on red cinema seats.
Facing forward, watching the movie screen.
Both holding popcorn buckets with both hands.
Relaxed posture, legs forward.
Natural lighting, cinematic depth of field.

Keep the face 100% original and unchanged.
No face reshaping, no beauty filter, no AI facial modification.
Preserve real skin texture, facial features, expression, and identity exactly as the original.

Create an ultra-realistic cinematic photo using the uploaded reference image as the base.

Main Subjects: Two characters sitting side-by-side in a cinema hall.
Young man (age 20โ€“25), fair to wheatish skin tone, slim build.
Outfit Details: White short-sleeve casual shirt, loose fit.

White Adidas-style sneakers with black stripes. Silver bracelet and ring on hand. Black Apple smartwatch. Rectangle black sunglasses. No extra accessories.

Character 2:
Actor Sunny Deol (Border 2 movie outfit).
Holding a popcorn bucket.

Pose Details:
Both characters sitting on red cinema seats.
Facing forward, watching the movie screen.
Both holding popcorn buckets with both hands.
Relaxed posture, legs forward.
Natural lighting, cinematic depth of field.

 


๐Ÿ”น PROMPT 2 (Popcorn Share Deal โ€“ Friendly Moment)

Prompt:

Keep the face 100% original and unchanged.
No face reshaping, no beauty filter, no AI facial modification.
Preserve real skin texture, facial features, expression, and identity exactly as original.

Create an ultra-realistic cinematic photo using the uploaded reference image as the base.

Main Subjects:
Two characters sitting side-by-side in a cinema hall.

Character 1:
Young man (age 20โ€“25), fair to wheatish skin tone, slim build.
Wearing a white short-sleeve casual shirt, dark grey wide-leg jeans, white Adidas-style sneakers.
Silver bracelet, ring, black Apple smartwatch, black rectangular sunglasses.
Calm, friendly expression.

Character 2:
Actor Varun Dhawan (Border 2 movie outfit).
Holding a popcorn bucket.

Pose & Action (Popcorn Share Deal):
Both characters softly smiling at each other.
Both holding the same popcorn bucket together.
Friendly โ€œdeal-doneโ€ moment.
One hand of each character touching the popcorn bucket.
Cinematic lighting, shallow depth of field.


๐Ÿ”น PROMPT 3 (Classic Cinema Watching โ€“ Neutral)

Prompt:

Keep face 100% original and unchanged.
No beauty filter, no AI facial modification.
Preserve skin texture, facial features, expression, and identity exactly as original.

Create an ultra-realistic cinematic photo using the uploaded reference image as the base.

Main Subjects:
Two characters sitting side-by-side in a cinema hall.

Character 1:
Young man (age 20โ€“25), fair to wheatish skin tone, slim build.
White short-sleeve casual shirt, dark grey wide-leg jeans.
White Adidas-style sneakers with black stripes.
Silver bracelet, ring, black Apple smartwatch, black rectangular sunglasses.
Calm, focused expression.

Character 2:
Actor Diljit Dosanjh (Border 2 movie outfit).
Holding a popcorn bucket.

Pose Details:
Both sitting on red cinema seats.
Facing forward, watching the movie screen.
Each holding a popcorn bucket with both hands.
Relaxed posture, legs forward.
Natural cinematic lighting.


๐Ÿ”น PROMPT 4 (Cinema Couple-Style Sitting)

Prompt:

Keep face 100% original and unchanged.
No face reshaping, no beauty filter, no AI facial modification.
Preserve real skin texture, facial features, expression, and identity exactly as original.

Create an ultra-realistic cinematic photo using the uploaded reference image as the base.

Main Subjects:
Two characters sitting side-by-side in a cinema hall.

Character 1:
Young man (age 20โ€“25), fair to wheatish skin tone, slim build.
White short-sleeve casual shirt, dark grey wide-leg jeans.
White Adidas-style sneakers with black stripes.
Silver bracelet, ring, black Apple smartwatch, black rectangular sunglasses.

Character 2:
Actress Sonam Bajwa (Border 2 movie outfit).
Holding a popcorn bucket.

Pose Details:
Both sitting on red cinema seats.
Facing forward, watching the movie screen.
Each holding a popcorn bucket with both hands.
Relaxed posture, legs forward.
Natural expressions, cinematic mood.


๐Ÿ”น PROMPT 5 (Cinema Duo โ€“ Ahan Shetty Version)

Prompt:

Keep face 100% original and unchanged.
No face reshaping, no beauty filter, no AI facial modification.
Preserve skin texture, facial features, expression, and identity exactly as original.

Create an ultra-realistic cinematic photo using the uploaded reference image as the base.

Main Subjects:
Two characters sitting side-by-side in a cinema hall.

Character 1:
Young man (age 20โ€“25), fair to wheatish skin tone, slim build.
White short-sleeve casual shirt, dark grey wide-leg jeans.
White Adidas-style sneakers with black stripes.
Silver bracelet, ring, black Apple smartwatch, black rectangular sunglasses.

Character 2:
Actor Ahan Shetty (Border 2 movie outfit).
Holding a popcorn bucket.

Pose Details:
Both sitting on red cinema seats.
Facing forward, watching the movie screen.
Each holding a popcorn bucket with both hands.
Relaxed posture, legs forward.
Natural cinematic lighting.

 

โš ๏ธ Important Tips (Very Important)

  • Always use clear reference images

  • Avoid sunglasses in your uploaded photo (unless prompt demands it)

  • Do not edit the prompt structure

  • Use one prompt per generation

๐Ÿš€ Pro Tip for Viral Content

After generating the image:

  • Use Veo 3 / image-to-video for slow cinematic motion

  • Add film grain + soft zoom

  • Export in 4K vertical (9:16)

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