A high-angle, harsh direct-flash snapshot taken at night in a dark outdoor pub patio, photographed from slightly above as if the camera is held overhead or shot from a small step or balcony. The image is framed with telephoto compression to avoid wide-angle distortion and the generic AI smartphone look. Use a long lens look in the portrait range (85mm to 200mm equivalent), with the photographer standing farther back than a typical selfie distance so the subject’s facial proportions look natural and high-end.nScene: A young adult woman (21+) sits casually on a bar stool in a dim outdoor pub area at night. The environment is mostly dark beyond the flash falloff. The direct flash is harsh and close to on-axis, creating bright overexposure on her fair skin, crisp specular highlights, and a sharp, hard-edged shadow cast behind her onto the ground. The shadow shape is distinct and high-contrast, with minimal ambient fill. The background is largely indistinct, with faint silhouettes of people sitting in the periphery outside the flash’s reach, made slightly larger and “stacked” closer behind her due to telephoto compression, but still dim and not distracting.nSubject details: She has a playful, mischievous expression: one eye winking, tongue sticking out in a teasing, candid way. Her short ash-brown bob is center-parted, with loose strands falling forward and partially shielding her face. Her light brown eyes are visible under the harsh flash, with curly lashes. Her lips are glossy,...
Assume the role of a **senior global ASO strategist** specializing in metadata optimization, keyword strategy, and multilingual localization. nYour primary goal is **maximum discoverability and conversion**, strictly following Apple’s 2025 App Store guidelines.nYou will generate **all App Store metadata fields** for every locale listed below.nn---n# **APP INFORMATION**nn- **Brand Name:** ${app_name}n- **Concept:** ${describe_your_app}n- **Themes:** ${app_keywords}n- **Target Audience:** ${target_audience}n- **Competitors:** ${competitor_apps}n---n# **OUTPUT FIELDS REQUIRED FOR EACH LOCALE**nFor **each** locale, generate:n### **1. App Name (Title) — Max 30 chars**n**Updated rules merged from all prompts:**n- Must **always** include the brand name “DishBook”.n- **Brand must appear at the END** of the App Name.n- May add 1–2 high-value keywords **before** the brand using separators: n `–` `:` or `|`n- Use **full 30-character limit** when possible.n- Must be **SEO-maximized**, **non-repetitive**, **localized**, and **culturally natural**.n- **No keyword stuffing**, no ALL CAPS.n- Avoid “best, free, #1, official” and competitor names.n- Critical keywords should appear within the **first 25 characters**.n- Always remain clear, readable, memorable.n---n### **2. Subtitle — Max 30 chars**n- Use full character limit.n- Must include **secondary high-value keywords** _not present in the App Name._n- Must highlight **core purpose or benefit**.n- Must be **localized**, not directly tr...
Assume the role of a **senior global ASO strategist** specializing in metadata optimization, keyword strategy, and multilingual localization. nYour primary goal is **maximum discoverability and conversion**, strictly following Apple’s 2025 App Store guidelines.nYou will generate **all App Store metadata fields** for every locale listed below.nn---n# **APP INFORMATION**nn- **Brand Name:** ${app_name}n- **Concept:** ${describe_your_app}n- **Themes:** ${app_keywords}n- **Target Audience:** ${target_audience}n- **Competitors:** ${competitor_apps}n---n# **OUTPUT FIELDS REQUIRED FOR EACH LOCALE**nFor **each** locale, generate:n### **1. App Name (Title) — Max 30 chars**n**Updated rules merged from all prompts:**n- Must **always** include the brand name “DishBook”.n- **Brand must appear at the END** of the App Name.n- May add 1–2 high-value keywords **before** the brand using separators: n `–` `:` or `|`n- Use **full 30-character limit** when possible.n- Must be **SEO-maximized**, **non-repetitive**, **localized**, and **culturally natural**.n- **No keyword stuffing**, no ALL CAPS.n- Avoid “best, free, #1, official” and competitor names.n- Critical keywords should appear within the **first 25 characters**.n- Always remain clear, readable, memorable.n---n### **2. Subtitle — Max 30 chars**n- Use full character limit.n- Must include **secondary high-value keywords** _not present in the App Name._n- Must highlight **core purpose or benefit**.n- Must be **localized**, not directly tr...
{n "title": "The Midnight Melody Mystery",n "description": "A charming, animated noir scene where a gruff detective questions a glamorous jazz singer in a stylized 1950s club.",n "prompt": "You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness but stylized. Transform Subject 1 (male) and Subject 2 (female) into characters from a high-budget animated feature. Subject 1 is a cynical private investigator and Subject 2 is a dazzling lounge singer. They are seated at a curved velvet booth in a smoky, art-deco jazz club. The aesthetic must be distinctively 'Disney Character' style, featuring smooth shading, expressive large eyes, and a magical, cinematic glow.",n "details": {n "year": "1950s Noir Era",n "genre": "Disney Character",n "location": "The Blue Note Lounge, a stylized jazz club with art deco architecture, plush red velvet booths, and a stage in the background.",n "lighting": [n "Cinematic spotlighting",n "Soft volumetric haze",n "Warm golden glow from table lamps",n "Cool blue ambient backlight"n ],n "camera_angle": "Medium close-up at eye level, framing both subjects across a small round table.",n "emotion": [n "Intrigue",n "Playful suspicion",n "Charm"n ],n "color_palette": [n "Deep indigo",n "ruby red",n "golden amber",n "sepia tone"n ],n "atmosphere": [n "Mysterious",n "Romantic",n "Whimsical",...
{n "title": "The Midnight Melody Mystery",n "description": "A charming, animated noir scene where a gruff detective questions a glamorous jazz singer in a stylized 1950s club.",n "prompt": "You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness but stylized. Transform Subject 1 (male) and Subject 2 (female) into characters from a high-budget animated feature. Subject 1 is a cynical private investigator and Subject 2 is a dazzling lounge singer. They are seated at a curved velvet booth in a smoky, art-deco jazz club. The aesthetic must be distinctively 'Disney Character' style, featuring smooth shading, expressive large eyes, and a magical, cinematic glow.",n "details": {n "year": "1950s Noir Era",n "genre": "Disney Character",n "location": "The Blue Note Lounge, a stylized jazz club with art deco architecture, plush red velvet booths, and a stage in the background.",n "lighting": [n "Cinematic spotlighting",n "Soft volumetric haze",n "Warm golden glow from table lamps",n "Cool blue ambient backlight"n ],n "camera_angle": "Medium close-up at eye level, framing both subjects across a small round table.",n "emotion": [n "Intrigue",n "Playful suspicion",n "Charm"n ],n "color_palette": [n "Deep indigo",n "ruby red",n "golden amber",n "sepia tone"n ],n "atmosphere": [n "Mysterious",n "Romantic",n "Whimsical",...
{n "prompt": "Restore and fully enhance this old, blurry, faded, and damaged portrait photograph. Transform it into an ultra-high-resolution, photorealistic image with HDR-like lighting, natural depth-of-field, professional digital studio light effects, and realistic bokeh. Apply super-resolution enhancement to recreate lost details in low-resolution or blurred areas. Smooth skin and textures while preserving all micro-details such as individual hair strands, eyelashes, pores, facial features, and fabric threads. Remove noise, scratches, dust, and artifacts completely. Correct colors naturally with accurate contrast and brightness. Maintain realistic shadows, reflections, and lighting dynamics, emphasizing the subject while keeping the background softly blurred. Ensure every element, including clothing and background textures, is ultra-detailed and lifelike. If black-and-white, restore accurate grayscale tones with proper contrast. Avoid over-processing or artificial look. Output should be a professional, modern, ultra-high-quality, photorealistic studio-style portrait, preserving authenticity, proportions, and mood, completely smooth yet ultra-detailed.",n "steps": [n {n "step": 1,n "action": "Super-resolution",n "description": "Upscale the image to ultra-high-resolution (8K or higher) to recreate lost details."n },n {n "step": 2,n "action": "Deblur and repair",n "description": "Fix blur, motion artifacts, scratches, dust, and other d...
{n "prompt": "Restore and fully enhance this old, blurry, faded, and damaged portrait photograph. Transform it into an ultra-high-resolution, photorealistic image with HDR-like lighting, natural depth-of-field, professional digital studio light effects, and realistic bokeh. Apply super-resolution enhancement to recreate lost details in low-resolution or blurred areas. Smooth skin and textures while preserving all micro-details such as individual hair strands, eyelashes, pores, facial features, and fabric threads. Remove noise, scratches, dust, and artifacts completely. Correct colors naturally with accurate contrast and brightness. Maintain realistic shadows, reflections, and lighting dynamics, emphasizing the subject while keeping the background softly blurred. Ensure every element, including clothing and background textures, is ultra-detailed and lifelike. If black-and-white, restore accurate grayscale tones with proper contrast. Avoid over-processing or artificial look. Output should be a professional, modern, ultra-high-quality, photorealistic studio-style portrait, preserving authenticity, proportions, and mood, completely smooth yet ultra-detailed.",n "steps": [n {n "step": 1,n "action": "Super-resolution",n "description": "Upscale the image to ultra-high-resolution (8K or higher) to recreate lost details."n },n {n "step": 2,n "action": "Deblur and repair",n "description": "Fix blur, motion artifacts, scratches, dust, and other d...
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