
90s Grunge Cinematic Identity Split
A complex, multi-scene prompt creating a cinematic single frame that depicts a fragmented identity during a morning routine with a 90s rebellious aesthetic.
To jest przykładowy przykład GPT Image 2 dla Portret i charakter . Skorzystaj z poniższego przykładu gotowego do skopiowania, aby wygenerować podobne materiały wizualne i sprawdź atrybucję Awesome GPT Image 2 Prompts oraz prawa do użytku komercyjnego przed ponownym wykorzystaniem.
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Opis
Monit o przygotowanie do kopiowania
Ultra-realistic cinematic multi-scene composition in a single frame, featuring {argument name="theme" default="[SUBJECT FROM REFERENCE IMAGE - maintain exact face, hairstyle, and facial structure]"}, portraying a fragmented identity split during a chaotic morning routine with strong {argument name="context" default="90s rebellious energy"}.
The frame contains multiple versions of the same subject, each representing a different personality/emotion. All faces must be clearly visible, sharp, and recognizable, with distinct expressions.
CENTER (MAIN IDENTITY):
Subject sitting on the edge of the bed, just woke up, leaning forward slightly, staring blankly but intense. Expression: empty, tired, emotionally detached.
Messy room, crumpled sheets.
Camera: 35mm lens, eye-level, cinematic close-medium.
IDENTITY SPLIT SCENES (ALL FACES VISIBLE, DIFFERENT EXPRESSIONS):
Left fragment (ANGRY REBEL): subject in front of mirror, slightly aggressive posture, messy movement while brushing teeth or splashing water. Expression: angry, frustrated.
Mirror reflection shows a slightly different expression (more intense).
Camera: 50mm lens, mirror shot.
Right fragment (COOL DETACHED): subject holding coffee, leaning casually, eyes half-lidded, effortless “don’t care” attitude. Expression: cold, numb.
Camera: 85mm lens, shallow depth.
Top fragment (WILD ENERGY): subject near window, shirt half open or layered outfit, body stretching but chaotic, head tilted, eyes sharp. Expression: manic, restless.
Camera: 24mm wide lens, low angle.
Bottom fragment (SELF-AWARE / TIRED): subject crouching or tying shoes, looking up directly to camera with raw, honest gaze. Expression: vulnerable but aware.
Camera: 70mm lens, slight top-down.
Additional floating shards: broken-frame pieces showing close-ups of eyes, smirks, clenched jaw, different micro-expressions across identities.
OUTFIT & STYLE (REBEL 90s):
{argument name="aesthetic" default="oversized flannel, ripped jeans, band tee, leather jacket, chain accessories"}, messy or slightly sweaty look.
Outfit transitions between scenes (sleepwear → grunge streetwear).
Hair slightly messy, natural, imperfect.
CHAOTIC VISUAL EFFECTS:
Fractured mirror aesthetic, overlapping frames, torn film edges, double/triple exposure.
Subtle motion ghosting to show emotional instability.
Some elements breaking out of frame aggressively (hands, shoulders, face edges).
LIGHTING & COLOR GRADING:
Mixed lighting: soft morning light + harsh contrast shadows.
Color grading:
muted warm tones (yellow/orange)
deep teal/green shadows
slight vintage 90s film fade
subtle grain & halation
Inspired by 90s grunge photography + raw cinematic tone.
MOOD:
Rebellious, restless, anti-establishment energy, emotional chaos, identity confusion.
Feels like waking up not knowing which version of yourself will take control.
DETAILS:
Ultra-realistic skin texture, visible pores, fabric detail, dust particles, texture, light leaks.
TECHNICAL:
Ultra-realistic, 8K, HDR, cinematic, no illustration, no cartoon, no stylized absZmienne monitujące
Edytowalne symbole zastępcze argumentów znalezione w monicie, wraz z ich wartościami domyślnymi.
Best for
- - Portret i charakter 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: Obraz na obraz
- - 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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- 2.Dostosuj zmienne, proporcje obrazu i obrazy referencyjne do własnego przypadku użycia.
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