Bate-papoGPT

Estética de cinema vermelho temperamental

Escrito para Bate-papoGPT. Os resultados e o suporte da foto de referência podem diferir entre os modelos.

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Ferramenta listada: Bate-papoGPT. Instruções completas: 3,609 caracteres. 1 imagem de exemplo fornecida.

This prompt mentions reference images. Read its instructions for the required number of photos and identity constraints. We have not independently tested this prompt. Tool labels and supplied images are not a guarantee of compatibility or output quality.

Prompt completo

Use my uploaded reference photo as the ONLY identity reference for my face. Keep my face exactly the same and unmistakably me. Do not change, redesign, beautify, reshape, replace, or reinterpret my facial identity. Preserve my exact facial structure, face shape, eyes, eyebrows, nose, lips, cheeks, jawline, skin tone, natural texture, and proportions. No face swap, no generic AI face, no facial enhancement.

Create an ultra-realistic cinematic photograph inside a dark, nearly empty movie theatre, matching the reference image's composition, atmosphere, lighting, colour grading, camera perspective, depth of field, and overall visual style.

🎬 Scene & composition

Vertical portrait composition, approximately 2:3.

A woman comfortably reclining across plush deep-red cinema seats.

Rows of empty red theatre seats extending into the background.

Dark cinema environment with very low ambient illumination.

Subject positioned toward the right side of the frame.

One leg/foot naturally extending toward the foreground, creating strong perspective.

She is holding a red-and-white striped popcorn bucket in her lap.

One hand is naturally raised near her mouth, holding a single piece of popcorn.

Relaxed, casual movie-watching posture.

Black sleeveless top and dark trousers.

Hair styled in a loose high bun with a few natural strands framing the face.

Cinematic shallow depth of field: subject sharp, background seats softly blurred.

Natural realistic body proportions and anatomy.


💡 Lighting & colour — MATCH THE REFERENCE

Reproduce the exact moody cinema colour treatment:

Warm, dim, amber-red theatre illumination.

Deep burgundy and dark-red cinema seats.

Very dark surrounding environment.

Soft warm highlights on the face and arms.

Gentle shadows across the scene.

Low-key cinematic exposure.

Rich blacks without completely crushing natural details.

Subtle warm skin tones.

Slight filmic grain.

Soft atmospheric contrast.

Natural, realistic highlight roll-off.

No bright studio lighting.

No excessive HDR.

No oversaturation.


👤 MY FACE — HIGHEST PRIORITY

My face must remain exactly the same as my uploaded reference.

Preserve:

Exact face shape

Exact eyes and eye spacing

Exact eyebrows

Exact nose shape and proportions

Exact lips and mouth shape

Exact cheeks

Exact chin and jawline

Exact skin tone

Exact natural facial texture

Exact recognizable identity


Do NOT:

Change my facial structure

Make me look like another person

Beautify or glamorize my face

Slim or widen my face

Change my nose, lips, eyes, or jaw

Alter my age

Change my skin tone

Smooth away natural facial texture

Apply an artificial beauty filter

Generate a generic model face

Blend my face with the reference model's face


The scene, hairstyle, outfit, pose, environment and lighting can follow the target image, but my facial identity must come exclusively from my uploaded photo.

📷 Photography

Ultra-realistic professional cinematic photography, 50mm lens look, shallow depth of field, natural perspective, realistic skin texture, subtle film grain, soft bokeh, low-light cinema photography, detailed popcorn texture, realistic fabric and seat texture, physically accurate shadows, authentic photographic imperfections, high resolution, photorealistic, no CGI appearance, no illustration, no text, no watermark.

Final requirement: make it look like a genuine photograph of ME sitting inside this exact type of cinema scene, while preserving my face exactly and matching the reference image's dark red cinematic filter, colour palette, lighting, composition, and atmosphere.

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