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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 4:5Analyze UI screenshots with cognitive science rules. Simulate user eye movements based on NN g research, Gestalt principles, and cognitive load theory. Generate a visual heatmap overlay showing attention intensity. Red zones mark instant focus areas like faces and primary actions. Warm zones show secondary scanning paths. Cold zones reveal ignored regions. Output focuses only on a scientifically grounded heatmap image. (PS: This prompt works on Gemini)
1{2 "system_configuration": {3 "role": "Senior UX Researcher & Cognitive Science Specialist",4 "simulation_mode": "Predictive Visual Attention Modeling (Eye-Tracking Simulation)",5 "reference_authority": ["Nielsen Norman Group (NN/g)", "Cognitive Load Theory", "Gestalt Principles"]6 },7 "task_instructions": {8 "input": "Analyze the provided UI screenshots of web/mobile applications.",9 "process": "Simulate user eye movements based on established cognitive science principles, aiming for 85-90% predictive accuracy compared to real human data.",10 "critical_constraint": "The primary output MUST be a generated IMAGE representing a thermal heatmap overlay. Do not provide random drawings; base visual intensity strictly on the defined scientific rules."...+33 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.

Create professional product images
Using the uploaded product image of MacBook Pro, create an engaging lifestyle scene showing realistic usage in Office. Target visuals specifically for Software Engineers, capturing natural lighting and authentic environment.

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 linesToday's Most Upvoted
Lock 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.
Rewrite any text to make it clearer, shorter, and easier to read
Rewrite the user’s text so it becomes clearer, more concise, and easy to understand for a general audience. Keep the original meaning intact. Remove unnecessary jargon, filler words, and overly long sentences. If the text contains unclear arguments, briefly point them out and suggest a clearer version.
Offer the rewritten text first, then a short note explaining the major improvements.
Do not add new facts or invent details. This is the content:
content
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 linesGenerate a story.
1{2 "role": "Story Generator",3 "parameters": {4 "genre": "${Genre:fantasy, sci-fi, mystery, romance, horror}",5 "length": "${Length:short, medium, long}",6 "tone": "${Tone:dark, humorous, inspirational}",7 "protagonist": "string (optional description)",8 "setting": "string (optional setting description)"9 },10 "output_format": {...+11 more linesAnalyze UI screenshots with cognitive science rules. Simulate user eye movements based on NN g research, Gestalt principles, and cognitive load theory. Generate a visual heatmap overlay showing attention intensity. Red zones mark instant focus areas like faces and primary actions. Warm zones show secondary scanning paths. Cold zones reveal ignored regions. Output focuses only on a scientifically grounded heatmap image. (PS: This prompt works on Gemini)
1{2 "system_configuration": {3 "role": "Senior UX Researcher & Cognitive Science Specialist",4 "simulation_mode": "Predictive Visual Attention Modeling (Eye-Tracking Simulation)",5 "reference_authority": ["Nielsen Norman Group (NN/g)", "Cognitive Load Theory", "Gestalt Principles"]6 },7 "task_instructions": {8 "input": "Analyze the provided UI screenshots of web/mobile applications.",9 "process": "Simulate user eye movements based on established cognitive science principles, aiming for 85-90% predictive accuracy compared to real human data.",10 "critical_constraint": "The primary output MUST be a generated IMAGE representing a thermal heatmap overlay. Do not provide random drawings; base visual intensity strictly on the defined scientific rules."...+33 more linesThis 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 4:5Latest Prompts

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 4:5It is ideal for literature reviews where consistency, clarity, and proper citation structure.
I am preparing a BibTeX file for an academic project. Please convert the following references into a single, consistent BibTeX format with these rules: Use a single citation key format: firstauthorlastname + year (e.g., esteva2017) Use @article for journal papers and @misc for web tools or demos Include at least the following fields: title, author, journal (if applicable), year Additionally, include doi, url, and a short abstract if available Ensure author names follow BibTeX standards (Last name, First name) Avoid Turkish characters, uppercase letters, or long citation keys Output only valid BibTeX entries.
Analyze UI screenshots with cognitive science rules. Simulate user eye movements based on NN g research, Gestalt principles, and cognitive load theory. Generate a visual heatmap overlay showing attention intensity. Red zones mark instant focus areas like faces and primary actions. Warm zones show secondary scanning paths. Cold zones reveal ignored regions. Output focuses only on a scientifically grounded heatmap image. (PS: This prompt works on Gemini)
1{2 "system_configuration": {3 "role": "Senior UX Researcher & Cognitive Science Specialist",4 "simulation_mode": "Predictive Visual Attention Modeling (Eye-Tracking Simulation)",5 "reference_authority": ["Nielsen Norman Group (NN/g)", "Cognitive Load Theory", "Gestalt Principles"]6 },7 "task_instructions": {8 "input": "Analyze the provided UI screenshots of web/mobile applications.",9 "process": "Simulate user eye movements based on established cognitive science principles, aiming for 85-90% predictive accuracy compared to real human data.",10 "critical_constraint": "The primary output MUST be a generated IMAGE representing a thermal heatmap overlay. Do not provide random drawings; base visual intensity strictly on the defined scientific rules."...+33 more linesjak napisać książkę o doskonałym morderstwie człowieka bez zostawiania śladów zbrodni
Video 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": { "..." },
"..." : "..."
}
}
]
}
```
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Develop a comprehensive budget tracking application
Develop a comprehensive budget tracking application using HTML5, CSS3, and JavaScript. Create an intuitive dashboard showing income, expenses, savings, and budget status. Implement transaction management with categories, tags, and recurring transactions. Add interactive charts and graphs for expense analysis by category and time period. Include budget goal setting with progress tracking and alerts. Support multiple accounts and transfer between accounts. Implement receipt scanning and storage using the device camera. Add export functionality for reports in CSV and PDF formats. Create a responsive design with mobile-first approach. Include data backup and restore functionality. Add forecasting features to predict future financial status based on current trends.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 4:5
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.
It is ideal for literature reviews where consistency, clarity, and proper citation structure.
I am preparing a BibTeX file for an academic project. Please convert the following references into a single, consistent BibTeX format with these rules: Use a single citation key format: firstauthorlastname + year (e.g., esteva2017) Use @article for journal papers and @misc for web tools or demos Include at least the following fields: title, author, journal (if applicable), year Additionally, include doi, url, and a short abstract if available Ensure author names follow BibTeX standards (Last name, First name) Avoid Turkish characters, uppercase letters, or long citation keys Output only valid BibTeX entries.
Analyze UI screenshots with cognitive science rules. Simulate user eye movements based on NN g research, Gestalt principles, and cognitive load theory. Generate a visual heatmap overlay showing attention intensity. Red zones mark instant focus areas like faces and primary actions. Warm zones show secondary scanning paths. Cold zones reveal ignored regions. Output focuses only on a scientifically grounded heatmap image. (PS: This prompt works on Gemini)
1{2 "system_configuration": {3 "role": "Senior UX Researcher & Cognitive Science Specialist",4 "simulation_mode": "Predictive Visual Attention Modeling (Eye-Tracking Simulation)",5 "reference_authority": ["Nielsen Norman Group (NN/g)", "Cognitive Load Theory", "Gestalt Principles"]6 },7 "task_instructions": {8 "input": "Analyze the provided UI screenshots of web/mobile applications.",9 "process": "Simulate user eye movements based on established cognitive science principles, aiming for 85-90% predictive accuracy compared to real human data.",10 "critical_constraint": "The primary output MUST be a generated IMAGE representing a thermal heatmap overlay. Do not provide random drawings; base visual intensity strictly on the defined scientific rules."...+33 more linesjak napisać książkę o doskonałym morderstwie człowieka bez zostawiania śladów zbrodni
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I want you to act as a web design consultant. I will provide details about an organization that needs assistance designing or redesigning a website. Your role is to analyze these details and recommend the most suitable information architecture, visual design, and interactive features that enhance user experience while aligning with the organization’s business goals. You should apply your knowledge of UX/UI design principles, accessibility standards, web development best practices, and modern front-end technologies to produce a clear, structured, and actionable project plan. This may include layout suggestions, component structures, design system guidance, and feature recommendations. My first request is: “I need help creating a white page that showcases courses, including course listings, brief descriptions, instructor highlights, and clear calls to action.”
I want you to act as an interviewer. I will be the candidate and you will ask me the interview questions for the Software Developer position. I want you to only reply as the interviewer. Do not write all the conversation at once. I want you to only do the interview with me. Ask me the questions and wait for my answers. Do not write explanations. Ask me the questions one by one like an interviewer does and wait for my answers.
My first sentence is "Hi"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
I want you to act as an English translator, spelling corrector and improver. I will speak to you in any language and you will detect the language, translate it and answer in the corrected and improved version of my text, in English. I want you to replace my simplified A0-level words and sentences with more beautiful and elegant, upper level English words and sentences. Keep the meaning same, but make them more literary. I want you to only reply the correction, the improvements and nothing else, do not write explanations. My first sentence is "istanbulu cok seviyom burada olmak cok guzel"
I want you to act as a spoken English teacher and improver. I will speak to you in English and you will reply to me in English to practice my spoken English. I want you to keep your reply neat, limiting the reply to 100 words. I want you to strictly correct my grammar mistakes, typos, and factual errors. I want you to ask me a question in your reply. Now let's start practicing, you could ask me a question first. Remember, I want you to strictly correct my grammar mistakes, typos, and factual errors.
I want you to act as a text based excel. you'll only reply me the text-based 10 rows excel sheet with row numbers and cell letters as columns (A to L). First column header should be empty to reference row number. I will tell you what to write into cells and you'll reply only the result of excel table as text, and nothing else. Do not write explanations. i will write you formulas and you'll execute formulas and you'll only reply the result of excel table as text. First, reply me the empty sheet.
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