AI image prompts
Prompt Konum (location)ve tarih (date) kısmını siz gireceksiniz O tarihte o konumda olmuş önemli bir olayı (var ise) nano banana araştırıyor ve ona uygun bir görsel oluşturuyor
1{2 "meta": {3 "model": "nano-banana-pro",4 "mode": "thinking",5 "use_search_grounding": true,6 "language": "tr"7 },8 "input": {9 "location": "${Location: Location}",10 "date": "${Date: YYYY-MM-DD}",...+15 more lines1{2 "name": "My Workflow",3 "steps": []4}{5 "promptDetails": {6 "description": "Ultra-detailed exploded technical infographic of {OBJECT_NAME}, shown in a 3/4 front isometric view. The object is partially transparent and opened, with its key internal and external components separated and floating around the main body in a clean exploded-view layout. Show all major parts typical for {OBJECT_NAME}: outer shell/panels, structural frame, primary electronics/boards, power system/battery or PSU, ports/connectors, display or interface elements if present, input controls/buttons, mechanical modules (motors/gears/fans/hinges) if applicable, speakers/microphones if applicable, cables/flex ribbons, screws/brackets, and EMI/thermal shielding. Use thin white callout leader lines and numbered labels in a minimalist sans-serif font. Background: smooth dark gray studio backdrop. Lighting: soft, even, high-end product render lighting with subtle reflections. Style: photoreal 3D CAD render, industrial design presentation, high contrast, razor-sharp, 8K, clean composition, no clutter.",7 "styleTags": [8 "Exploded View",9 "Technical Infographic",10 "Photoreal 3D CAD Render",...+19 more lines
Hyper-realistic portrait of a man in tailored casual wear (dark jeans, quality sweater) leaning against weathered brick wall in golden hour light. Maintain original face structure and features. Create natural skin texture with subtle pores and realistic stubble. Soft natural side lighting that highlights facial contours naturally. Street photography style, slight grain, authentic and unposed feel.

This prompt generates ultra-realistic food images designed for real restaurant use, including menus, delivery platforms, and promotional materials. It follows professional food photography standards with natural lighting, realistic textures, and clean plating. Only the food name is required, making it easy to reuse across full menus while maintaining consistent, trustworthy visuals.
Ultra-realistic food photography–style image of Fried chicken tenders with french fries, presented in a clean, appetizing, and professional composition suitable for restaurant menus, promotional materials, digital screens, and delivery platforms.
The dish is shown in its most recognizable and ideal serving form, with accurate proportions and highly realistic details — natural textures, crispy surfaces, moist interiors, visible steam where appropriate, glossy but natural sauces, and fresh ingredients.
Lighting is soft, controlled, and natural, inspired by professional studio food photography, with balanced highlights, realistic shadows, and true-to-life colors that enhance freshness without exaggeration.
The food is plated on a simple, elegant plate or bowl, styled minimally to keep full focus on the dish. The background is clean and unobtrusive (neutral surface, dark matte background, or softly blurred setting) to ensure strong contrast and clarity.
Captured with a high-end DSLR look — shallow depth of field, sharp focus on the food, natural lens perspective, and high resolution. No illustration, no stylization, no artificial effects.
Commercial-grade realism, appetizing, trustworthy, and ready for real restaurant use.
--ar 4:5Video ve görüntü analizi konusunda uzmanlaşmış elit yapay zeka
# System Prompt: Elite Cinematic & Forensic Analysis AI
**Role:** You are an elite visual analysis AI capable of acting simultaneously as a **Director**, **Master Cinematographer**, **Production Designer**, **Editor**, **Sound Designer**, and **Forensic Video Analyst**.
**Task:** Analyze the provided visual input (image or video) with extreme technical precision. Your goal is not just to summarize, but to **CATALOG** every perceptible detail and strictly analyze cinematic qualities.
### 🚨 CRITICAL INSTRUCTION FOR VIDEO INPUTS (SEGMENTATION):
If the input is a video containing **multiple distinct shots**, camera angles, or cuts, you must **SEGMENT THE VIDEO**:
1. **Detect every single cut/scene change.**
2. Generate a separate, highly detailed analysis profile for **EACH** distinct scene/shot detected.
3. Do not merge distinct scenes into one general summary. Treat them as separate universes.
4. Maintain the chronological order (Scene 1, Scene 2, etc.).
---
### Analysis Perspectives (Required for Every Scene)
For each detected scene/shot, analyze the following deep-dive sections:
#### 1. 🕵️ Forensic & Technical Analyst
* **OCR & Text Detection:** Transcribe ANY visible text (license plates, street signs, phone screens, logos). If blurry, provide best guess.
* **Object Inventory:** List distinct key objects present (e.g., "1 vintage Rolex watch, 3 empty coffee cups").
* **Subject Biology/Physics:** Estimate age/gender of characters, specific car models (Make/Model/Year), or biological species with high precision.
* **Technical Metadata Hypothesis:**
* *Camera Brand:* (e.g., Arri Alexa, Sony Venice, iPhone 15 Pro, Film Stock 35mm)
* *Lens:* (e.g., Anamorphic, Spherical, Macro)
* *Settings:* (Est. ISO, Shutter Angle, Aperture)
#### 2. 🎬 Director’s Perspective (Narrative & Emotion)
* **Dramatic Structure:** The micro-arc within this specific shot; the dramatic beat.
* **Story Placement:** Possible placement within a larger narrative (Inciting Incident, Climax, etc.).
* **Micro-Beats & Emotion:** Breakdown of action into seconds (e.g., "00:01 turns head"). Analysis of internal feelings and body language.
* **Subtext & Semiotics:** What does the scene imply *without* saying it?
* **Narrative Composition:** How blocking and arrangement contribute to storytelling.
#### 3. 🎥 Cinematographer’s Perspective (Visuals)
* **Framing & Lensing:** Focal length (24mm, 50mm, 85mm), camera angle, height. Depth of field (T-stop), bokeh characteristics.
* **Lighting Design:** Key, Fill, Backlight positions. Light quality (hard/soft), color temperature (Kelvin), contrast ratios (e.g., 8:1).
* **Color Palette:** Dominant hues (HEX codes), saturation levels, specific aesthetics (Teal & Orange, Noir).
* **Optical Characteristics:** Lens flares, chromatic aberration, distortion, grain structure.
* **Camera Movement:** Precise movement (Static, Pan, Tilt, Dolly, Steadicam) and *quality* of motion (jittery vs hydraulic).
#### 4. 🎨 Production Designer’s Perspective (World)
* **Set Design & Architecture:** Physical space description, architectural style (Brutalist, Victorian), spatial confinement.
* **Props & Decor:** Analysis of objects (clutter, hero props, technology level).
* **Costume & Styling:** Fabric textures (leather, silk), wear-and-tear, character status indicators.
* **Material Physics:** Specific textures (rust, chrome, wet asphalt, dust particles).
* **Atmospherics:** Fog, smoke, rain, heat haze.
#### 5. ✂️ Editor’s Perspective (Pacing)
* **Rhythm & Tempo:** Pacing (Largo, Allegro, Staccato).
* **Transition Logic:** Connection to potential previous/next shots (Match cut, J-Cut).
* **Visual Anchor Points:** Saccadic eye movement prediction (where the eye lands 1st, 2nd).
* **Cutting Strategy:** Why this shot exists here; potential cutting points.
#### 6. 🔊 Sound Designer’s Perspective (Audio)
* **Ambient Sounds:** Room tone, atmospheric layers (wind, traffic).
* **Foley Requirements:** Specific material interactions (footsteps on gravel, fabric rustle).
* **Musical Atmosphere:** Suggested genre, tempo, key, instrumentation.
* **Spatial Audio:** 3D sound map, reverb tail, space size.
---
### Output Format: Strict JSON
Provide the output **strictly** as a JSON object with the following structure. Do not include markdown formatting inside the JSON string itself.
```json
{
"project_meta": {
"title_hypothesis": "A generated title for the sequence",
"total_scenes_detected": 0,
"input_resolution_est": "1080p/4K/Vertical",
"holistic_meta_analysis": "An overarching interpretation combining all scenes and perspectives into a unified cinematic reading."
},
"timeline_analysis": [
{
"scene_index": 1,
"time_stamp_approx": "00:00 - 00:XX",
"visual_summary": "Highly specific visual description including action and setting.",
"perspectives": {
"forensic_analyst": {
"ocr_text_detected": ["List", "Any", "Text", "Here"],
"detected_objects": ["Object 1", "Object 2"],
"subject_identification": "Specific car model or actor description",
"technical_metadata_hypothesis": "Arri Alexa, 35mm Grain, Anamorphic Lens, ISO 800"
},
"director": {
"dramatic_structure": "...",
"story_placement": "...",
"micro_beats_and_emotion": "...",
"subtext_semiotics": "...",
"main_message": "..."
},
"cinematographer": {
"framing_and_lensing": "...",
"lighting_design": "...",
"color_palette_hex": ["#RRGGBB", "#RRGGBB"],
"optical_characteristics": "...",
"camera_movement": "..."
},
"production_designer": {
"set_design_architecture": "...",
"props_and_costume": "...",
"material_physics": "...",
"atmospherics": "..."
},
"editor": {
"rhythm_and_tempo": "...",
"visual_anchor_points": "...",
"cutting_strategy": "..."
},
"sound_designer": {
"ambient_sounds": "...",
"foley_requirements": "...",
"musical_atmosphere": "...",
"spatial_audio_map": "..."
},
"ai_generation_data": {
"midjourney_v6_prompt": "/imagine prompt: [Subject] + [Action] + [Environment] + [Lighting] + [Camera Gear] + [Style/Aesthetic] --ar [Aspect Ratio] --stylize 250 --v 6.0",
"negative_prompt": "text, watermark, blur, deformed, low res, bad hands, [SCENE SPECIFIC NEGATIVES]"
}
}
},
{
"scene_index": 2,
"time_stamp_approx": "00:XX - 00:YY",
"visual_summary": "Next shot description...",
"perspectives": {
"forensic_analyst": { "..." },
"director": { "..." },
"..." : "..."
}
}
]
}
```
Bir görüntüyü piksel piksel analiz eden, sinematik, adli ve teknik detayları kataloglayan vizyon uzmanı
**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
Upload your photo, type the footballer’s name, and choose a team for the jersey they hold. The scene is generated in front of the stands filled with the footballer’s supporters, while the held jersey stays consistent with your selected team’s official colors and design.
Inputs Reference 1: User’s uploaded photo Reference 2: [FOOTBALLER_NAME] [JERSEY_NUMBER] [JERSEY_TEAM_NAME] (team of the jersey being held) [USER_OUTFIT_DESC] [MOOD] Prompt Create a photorealistic image of the person from the user’s uploaded photo standing next to [FOOTBALLER_NAME] pitchside in front of the stadium stands, posing for a photo. Location: Pitchside/touchline in a large stadium. Natural grass and advertising boards look realistic. Stands: The background stands must feel 100% like [FOOTBALLER_NAME]’s team home crowd (single-team atmosphere). Dominant team colors, scarves, flags, and banners. No rival-team colors or mixed sections visible. Composition: Both subjects centered, shoulder to shoulder. [FOOTBALLER_NAME] can place one arm around the user. Prop: They are holding a jersey together toward the camera. The back of the jersey must clearly show [FOOTBALLER_NAME] and the number [JERSEY_NUMBER]. Print alignment is clean, sharp, and realistic. Critical rule (lock the held jersey to a specific team) The jersey they are holding must be an official kit design of [JERSEY_TEAM_NAME]. Keep the jersey colors, patterns, and overall design consistent with [JERSEY_TEAM_NAME]. If the kit normally includes a crest and sponsor, place them naturally and realistically (no distorted logos or random text). Prevent color drift: the jersey’s primary and secondary colors must stay true to [JERSEY_TEAM_NAME]’s known colors. Note: [JERSEY_TEAM_NAME] must not be the club [FOOTBALLER_NAME] currently plays for. Clothing: [FOOTBALLER_NAME]: Wearing his current team’s match kit (shirt, shorts, socks), looks natural and accurate. User: [USER_OUTFIT_DESC] Camera: Eye level, 35mm, slight wide angle, natural depth of field. Focus on the two people, background slightly blurred. Lighting: Stadium lighting + daylight (or evening match lights), realistic shadows, natural skin tones. Faces: Keep the user’s face and identity faithful to the uploaded reference. [FOOTBALLER_NAME] is clearly recognizable. Expression: [MOOD] Quality: Ultra realistic, natural skin texture and fabric texture, high resolution. Negative prompts Wrong team colors on the held jersey, random or broken logos/text, unreadable name/number, extra limbs/fingers, facial distortion, watermark, heavy blur, duplicated crowd faces, oversharpening. Output Single image, 3:2 landscape or 1:1 square, high resolution.

1{2 "style_definition": {3 "art_style": "Modern Flat Vector Illustration",...+12 more linesLock your original film still in the center tile as ORIGINAL, untouched, then re-shoot the exact same scene through the visual language of eight legendary directors. This 3x3 grid template enforces clean alignment, consistent labels, and strong director-specific cinematography (framing, lens feel, lighting, color grading, texture, mood). It also includes an Identity + Gender Lock so multi-character scenes stay consistent, preventing cast drift, face swaps, or gender changes across tiles.
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.

Square 1×1 photoreal poster of a floating island shaped like the city’s silhouette above white clouds. Blend key landmarks, architecture, and natural landscapes. Cinematic sunlight, vibrant colors, aerial perspective, volumetric lighting, global illumination, ray‑traced shadows. Ultra HD.
Design a "floating miniature island" shaped like the izmir map/silhouette, gliding above white clouds. On the island, seamlessly blend izmir’s most iconic landmarks, architectural structures, and natural landscapes (parks, waterfronts, hills). Integrate large white 3D letters spelling "izmir" into the island’s surface or geographic texture. Enhance the atmosphere with city-specific birds, cinematic sunlight, vibrant colors, aerial perspective, and realistic shadow/reflection rendering. Ultra HD quality, hyper-realistic textures, 4K+ resolution, digital poster format. Square 1×1 composition, photoreal, volumetric lighting, global illumination, ray tracing.
Transforms any image into a work-in-progress architectural study. This prompt overlays realistic handwritten English notes, dimension lines, cross-sections, and black ink sketches onto your photo, simulating a professional design review, site analysis, or renovation concept phase.
Based on the source image, overlay an architect's busy working process onto the entire scene. The image should look like a blueprint or trace paper covering the original photo, filled with handwritten black ink sketches, technical annotations, dimension lines with measurements (e.g., "12'-4"", "CLG HGT 9'"), rough cross-section diagrams showing structural details, revision clouds with notes like "REVISE LATER", and leaders pointing to specific elements labeled with English architect's notes such as "CHECK BEAM", "REMOVE FINISH", or "PROPOSED NEW OPENING". The style should be messy, authentic, and look like a work-in-progress conceptual drawing.
This prompt instructs the model that when given a movie quote, it must never reply with text, explanation, or a new prompt. Instead, it must: Analyze the scene in which the quote appears, Visualize that scene in the style of a 3D Isometric Miniature Diorama, with tilt-shift and a 45-degree angle, And output only the image, with no text. In short, the goal is to: Recreate the movie scene as a tiny isometric diorama with a tilt-shift, miniature look.
"When I give you a movie quote, never reply with text or a prompt. Instead, analyze the scene where the quote appears and visualize it in the style of a '3D Isometric Miniature Diorama, Tilt-Shift, 45-degree angle' (image generation). Provide only the image." Quote = "You shall not pass!"
Reimagine the world's most famous monuments as stunning tabletop miniatures. This prompt generates intricate 3D dioramas set on realistic earth cross-sections, complete with lush landscaping, custom signage, and flags. Perfect for travel concepts and isometric art.
Create a hyper-realistic 3D diorama-style model of EIFFEL TOWER. The model should appear as a miniature, set on a raised cross-section of earth that reveals soil and rock layers beneath a lush grassy surface. The structure must be highly detailed and proportionally accurate, surrounded by tiny realistic elements like region-appropriate street lamps, native trees, shrubs, water features like small fountains, and historically or culturally fitting pathways. The scene should evoke the unique character of EIFFEL TOWER’s surrounding landscape. The environment must include a soft white background to draw full attention to the model. Include the text “EIFFEL TOWER” in large, bold, elegant lettering prominently displayed on a big sign or billboard at the front of the diorama, easily readable and eye-catching, along with a large national flag on a tall, prominent flagpole positioned beside EIFFEL TOWER, clearly visible and waving. 1080x1080 dimension
Transform famous brands into adorable, 3D chibi-style concept stores. This prompt blends iconic product designs with miniature architecture, creating a cozy 'blind-box' toy aesthetic perfect for playful visualizations.
3D chibi-style miniature concept store of Mc Donalds, creatively designed with an exterior inspired by the brand's most iconic product or packaging (such as a giant chicken bucket, hamburger, donut, roast duck). The store features two floors with large glass windows clearly showcasing the cozy and finely decorated interior: {brand's primary color}-themed decor, warm lighting, and busy staff dressed in outfits matching the brand. Adorable tiny figures stroll or sit along the street, surrounded by benches, street lamps, and potted plants, creating a charming urban scene. Rendered in a miniature cityscape style using Cinema 4D, with a blind-box toy aesthetic, rich in details and realism, and bathed in soft lighting that evokes a relaxing afternoon atmosphere. --ar 2:3 Brand name: Mc Donalds
Create stunning 45° isometric miniature cities with integrated weather elements. This prompt blends stylized 3D cartoon aesthetics with realistic PBR materials and soft lighting. Features a clean layout with a title, weather icon, date, and temperature, making it perfect for daily weather updates, UI design concepts, or social media posts. Just replace the city name to generate!
Present a clear, 45° top-down isometric miniature 3D cartoon scene of İSTANBUL, featuring its most iconic landmarks and architectural elements. Use soft, refined textures with realistic PBR materials and gentle, lifelike lighting and shadows. Integrate the current weather conditions directly into the city environment to create an immersive atmospheric mood.
Use a clean, minimalistic composition with a soft, solid-colored background.
At the top-center, place the title “İSTANBUL” in large bold text, a prominent weather icon beneath it, then the date (small text) and temperature (medium text).
All text must be centered with consistent spacing, and may subtly overlap the tops of the buildings.
Square 1080x1080 dimension.
Top-down 2D cartoon view of a cracked, abandoned courtyard.
High-angle top-down view of a dimly lit abandoned courtyard, cracked concrete ground, scattered old markings and faded impact dents, long eerie character shadows cast off-frame, no violence depicted, dark Teal palette with a strong golden beam, thick outlines, 2D animated cartoon look, flat shading, extreme contrast, atmospheric tension.

Structured prompt for generating an isometric city diorama in a miniature 3D style, with weather and environment adaptive to the specified city.
1{2 "meta": {3 "description": "Structured prompt for generating an isometric city diorama in a miniature 3D style, with weather and environment adaptive to the specified city.",...+33 more lines