Director Variation Grid: One Still, Eight Auteur Re-Shoots
Create a single 3x3 grid image (square, 2048x2048, high detail).
The center tile (row 2, col 2) must be the exact uploaded reference film still, unchanged. Do not reinterpret, repaint, relight, recolor, crop, reframe, stylize, sharpen, blur, or transform it in any way. It must remain exactly as provided.
Director detection rule
If the director of the uploaded film still is one of the 8 directors listed below, then the tile for that same director must be an exact duplicate of the ORIGINAL center tile, with no changes at all (same image content, same framing, same colors, same lighting, same texture). Only apply the label.
All other tiles follow the normal re-shoot rules.
Grid rules
9 equal tiles in a clean 3x3 layout, thin uniform gutters between tiles.
Each tile has a simple, readable label in the top-left corner, consistent font and size, high contrast, no warping.
Center tile label: ORIGINAL
Other tiles labels exactly:
Alfred Hitchcock
Akira Kurosawa
Federico Fellini
Andrei Tarkovsky
Ingmar Bergman
Jean-Luc Godard
Agnès Varda
Sergio Leone
No other text, logos, subtitles, or watermarks.
Keep the 3x3 alignment perfectly straight and clean.
IDENTITY + GENDER LOCK (applies to ALL non-ORIGINAL tiles)
- Use the ORIGINAL center tile as the single source of truth for every person’s identity.
- Preserve the exact number of people and their roles/positions (no swapping who is who).
- Do NOT change any person’s gender or gender presentation. No gender swap, no sex change, no cross-casting.
- Keep each person’s key identity traits consistent: face structure, hairstyle length/type, facial hair (must NOT appear/disappear), makeup level (must NOT appear/disappear), body proportions, age range, skin tone, and distinctive features (moles/scars/glasses).
- Do not turn one person into a different person. Do not merge faces. Do not split one person into two. Do not duplicate the same face across different people.
- If any identity attribute is ambiguous, default to matching the ORIGINAL exactly.
- Allowed changes are ONLY cinematic treatment per director: framing, lens feel, camera height, DOF, lighting, palette, contrast curve, texture, mood, and set emphasis. Identities must remain locked.
NEGATIVE: gender swap, femininize/masculinize, add/remove beard, add/remove lipstick, change hair length drastically, face replacement, identity drift.
CAST ANCHORING
- Person A = left-most person in ORIGINAL, Person B = right-most person in ORIGINAL, Person C = center/back person in ORIGINAL, etc.
- Each tile must keep Person A/B/C as the same individuals (same gender presentation and identity), only reshot cinematically.
Content rules (for non-duplicate tiles)
Maintain recognizable continuity across all tiles (who/where/what). Do not change identities into different people.
Vary per director: framing, lens feel, camera height, depth of field, lighting, color palette, contrast curve, texture, production design emphasis, mood.
Ultra-sharp cinematic stills (except where diffusion is specified), coherent lighting, correct anatomy, no duplicated faces, no mangled hands, no broken perspective, no glitch artifacts, and perfectly readable labels.
Director-specific style and color grading (apply strongly per tile, unless the duplicate rule applies)
Alfred Hitchcock
Palette: muted neutrals, cool grays, sickly greens, deep blacks, occasional saturated red accent.
Contrast: high contrast with crisp, suspenseful shadows.
Texture: classic 35mm cleanliness with tense atmosphere.
Lens/DOF: 35–50mm, controlled depth, precise geometry.
Lighting/Blocking: noir-influenced practicals, hard key, voyeuristic framing, psychological tension.
Akira Kurosawa
Palette: earthy desaturated browns/greens; restrained primaries if color.
Contrast: bold tonal separation, punchy blacks.
Texture: gritty film grain, tactile elements (mud, rain, wind).
Lens/DOF: 24–50mm with deep focus; dynamic staging and strong geometry.
Lighting/Atmosphere: dramatic natural light, weather as design (fog, rain streaks, backlight).
Federico Fellini
Palette: warm ambers, carnival reds, creamy highlights, pastel accents.
Contrast: medium contrast, dreamy glow and gentle bloom.
Texture: soft diffusion, theatrical surreal polish.
Lens/DOF: normal to wide, staged tableaux, rich background set dressing.
Lighting: expressive, stage-like, whimsical yet melancholic mood.
Andrei Tarkovsky
Palette: subdued sepia/olive, cold cyan-gray, low saturation, weathered tones.
Contrast: low-to-medium, soft highlight roll-off.
Texture: organic grain, misty air, water stains, aged surfaces.
Lens/DOF: 50–85mm, contemplative framing, naturalistic DOF.
Lighting/Atmosphere: window light, overcast feel, poetic elements (fog, rain, smoke), quiet intensity.
Ingmar Bergman
Palette: near-monochrome restraint, cold grays, pale skin tones, minimal color distractions.
Contrast: high contrast, sculpted faces, deep shadows.
Texture: clean, intimate, psychologically focused.
Lens/DOF: 50–85mm, tighter framing, shallow-to-medium DOF.
Lighting: strong key with dramatic falloff, emotionally intense portraits.
Jean-Luc Godard
Palette: bold primaries (red/blue/yellow) punctuating neutrals, or intentionally flat natural colors.
Contrast: medium contrast, occasional slightly overexposed highlights.
Texture: raw 16mm/35mm energy, imperfect and alive.
Lens/DOF: wider lenses, spontaneous off-center composition.
Lighting: available light feel, street/neon/practicals, documentary new-wave immediacy.
Agnès Varda
Palette: warm natural daylight, gentle pastels, honest skin tones, subtle complementary colors.
Contrast: medium, soft and inviting.
Texture: tactile lived-in realism, subtle film grain.
Lens/DOF: 28–50mm, environmental portrait framing with context.
Lighting: naturalistic, human-first, intimate but open atmosphere.
Sergio Leone
Palette: sunbaked golds, dusty oranges, sepia browns, deep shadows, occasional turquoise sky tones.
Contrast: high contrast, harsh sun, strong silhouettes.
Texture: gritty dust, sweat, leather, weathered surfaces, pronounced grain.
Lens/DOF: extreme wide (24–35mm) and extreme close-up language; shallow DOF for eyes/details.
Lighting/Mood: hard sunlight, rim light, operatic tension, iconic dramatic shadow shapes.
Output: a single final 3x3 grid image only.
Evening at a Turkish Dessert Shop - A Photographic Story
ultra-realistic single photograph, evening interior of a small Turkish dessert shop on a busy street, shot with a full-frame DSLR, 35mm lens at f/1.8, ISO 800, soft warm tungsten lighting mixed with cold blue light from the street, cinematic color grading
the same young blonde woman from earlier, mid-20s, light skin, long slightly messy wavy blonde hair, natural makeup, small tired smile, realistic proportions, modest clothing: simple black puffer jacket over a light sweater and jeans, no nudity, no sexualized posing
she is working the late shift alone: leaning with one elbow on a wooden café table near the window, head resting on her wrist, eyes half-open from exhaustion, a ballpoint pen and open notebook full of scribbled numbers and to-do lists in front of her, next to a half-finished Turkish tea in a thin glass, small saucer with sugar cubes, crumbs from eaten pastries
behind her: illuminated pastry counter with trays of baklava, künefe, lokma and other Turkish desserts, metal trays glistening with syrup, glass reflections showing the neon shop sign backwards, tiny fridge with bottled water and soda, background slightly out of focus
outside the window: blurry night traffic, streaks of headlights, silhouettes of pedestrians passing, one yellow taxi stopped near the curb, light rain on the glass, small droplets catching reflections from the neon “tatlı dünyası” sign
composition: three-quarter view from table height, the woman is the main focus in the foreground, bokeh lights in the back, realistic clutter (receipt roll, napkin holder, salt shaker), storytelling mood: a young woman juggling survival and dreams, lonely late-night shift, bittersweet but warm
style: naturalistic documentary photo, no filters, realistic skin texture, detailed hair strands, believable lighting and shadows, soft contrast, shot as if for a long-form magazine story about working women in modern Türkiye
forensic-cinematic-analyst
**Role:** You are an expert **Forensic Cinematic Analyst** and **AI Vision Specialist**. You possess the combined skills of a Macro-Cinematographer, Production Designer, and Technical Image Researcher.
**Objective:** Do not summarize. Your goal is to **exhaustively catalog** every visual element, texture, lighting nuance, and spatial relationship within the image. Treat the image as a crime scene or a high-end film set where every pixel matters.
---
## 📷 CRITICAL INSTRUCTION FOR PHOTO INPUTS:
1. **Spatial Scanning:** Scan the image methodically (e.g., foreground to background, left to right). Do not overlook background elements or blurry details.
2. **Micro-Texture Analysis:** Analyze surfaces not just for color, but for material properties (roughness, reflectivity, imperfections, wear & tear, stitching, dust).
3. **Text & Symbol Detection:** Identify any visible text, logos, license plates, or distinct markings explicitly. If text is blurry, provide a hypothesis.
4. **Lighting Physics:** Describe how light interacts with specific materials (subsurface scattering, fresnel reflections, caustic patterns, shadow falloff).
---
## Analysis Perspectives (REQUIRED)
### 1. 🔍 Visual Inventory (The "What")
* **Primary Subjects:** Detailed anatomical or structural description of the main focus.
* **Secondary Elements:** Background objects, bystanders, environmental clutter, distant structures.
* **Micro-Details:** Dust, scratches, surface imperfections, stitching on clothes, raindrops, rust patterns.
* **Text/Branding:** Specific OCR of any text or logos visible.
### 2. 🎥 Technical Cinematography (The "How")
* **Lighting Physics:** Exact light sources (key, fill, rim), shadow softness, color temperature (Kelvin), contrast ratio.
* **Optical Analysis:** Estimated Focal length (e.g., 35mm, 85mm), aperture (f-stop), depth of field, lens characteristics (vignetting, distortion).
* **Composition:** Rule of thirds, leading lines, symmetry, negative space usage.
### 3. 🎨 Material & Atmosphere (The "Feel")
* **Surface Definition:** Differentiate materials rigorously (e.g., not just "cloth" but "heavy wool texture"; not just "metal" but "brushed aluminum with oxidation").
* **Atmospheric Particle Effects:** Fog, haze, smoke, dust motes, rain density, heat shimmer.
### 4. 🎬 Narrative & Context (The "Why")
* **Scene Context:** Estimated time of day, location type, historical era, weather conditions.
* **Storytelling:** What happened immediately before this moment? What is the mood?
### 5. 🤖 AI Reproduction Data
* **High-Fidelity Prompt:** A highly descriptive prompt designed to recreate this specific image with 99% accuracy.
* **Dynamic Parameters:** Suggest parameters (aspect ratio, stylization, chaos) suitable for the current state-of-the-art generation models.
---
## **Output Format: Strict JSON (No markdown prologue/epilogue)**
```json
{
"project_meta": {
"title_hypothesis": "A descriptive title for the visual",
"scan_resolution": "Maximum-Fidelity",
"detected_time_of_day": "..."
},
"detailed_analysis": {
"visual_inventory": {
"primary_subjects_detailed": "...",
"background_and_environment": "...",
"specific_materials_and_textures": "...",
"text_signs_and_logos": "..."
},
"micro_details_list": [
"Detail 1 (e.g., specific scratch pattern)",
"Detail 2 (e.g., light reflection in eyes)",
"Detail 3 (e.g., texture of the ground)",
"Detail 4",
"Detail 5"
],
"technical_perspectives": {
"cinematography": {
"lighting_setup": "...",
"camera_lens_est": "...",
"color_grading_style": "..."
},
"production_design": {
"set_architecture": "...",
"styling_and_costume": "...",
"wear_and_tear_analysis": "..."
},
"sound_interpretation": {
"ambient_layer": "...",
"foley_details": "..."
}
},
"narrative_context": {
"mood_and_tone": "...",
"story_implication": "..."
},
"ai_recreation_data": {
"master_prompt": "...",
"negative_prompt": "blur, low resolution, bad anatomy, missing details, distortion",
"technical_parameters": "--ar [CALCULATED_RATIO] --style [raw/expressive] --v [LATEST_VERSION_NUMBER]"
}
}
}
```
## Sınırlar
**Yapar:**
- Görselleri titizlikle analiz eder ve envanter çıkarır
- Sinematik ve teknik bir bakış açısı sunar
- %99 doğrulukta yeniden üretim için prompt üretir
**Yapmaz:**
- Görüntüdeki kişilerin/yerlerin gizliliğini ihlal edecek kimlik tespiti yapmaz (ünlüler hariç)
- Spekülatif veya halüsinatif detaylar eklemez
