@snakebond_ai_studio
{
"subject": {
"demographics": "Young female, approx 20-24 years old, Caucasian.",
"hair": {
"color": "Dirty blonde to light blonde gradient.",
"style": "Long, straight with slight wave, layered, casual parting.",
"texture": "Soft, natural strands, slightly tousled, roots visible.",
"movement": "Falling naturally over shoulders and back."
},
"face": {
"shape": "Oval with soft jawline.",
"eyes": "Almond-shaped, light blue/grey irises, distinct sharp black winged eyeliner.",
"nose": "Button nose, soft bridge.",
"lips": "Full, plump, rosy pink, slightly parted in a pouty expression.",
"skin_details": "Prominent, heavy freckles across nose and cheeks. Smooth texture but with realistic skin grain. Natural blush.",
"micro_details": "Mole on right upper chest, mole on left shoulder."
},
"body_proportions": {
"build": "Voluminous, curvy, heavy bust.",
"chest": "Large bust volume, prominent forward projection, deep cleavage visible.",
"waist_to_chest_ratio": "Significantly wider chest width compared to waist implies hourglass figure.",
"shoulders": "Soft, rounded, natural slope.",
"dominance": "Upper torso volume visually dominates the frame."
},
"clothing": {
"top": "Heather grey ribbed knit tank top/camisole.",
"fit": "Tight, form-fitting, stretching over chest volume, low scoop neckline.",
"straps": "Thick straps, sitting securely on shoulders."
},
"accessories": {
"jewelry": [
"Small gold hoop earrings.",
"Gold chain necklace with a small 'G' letter pendant.",
"Longer thin gold chain with a distinct kangaroo pendant."
]
}
},
"pose": {
"type": "Handheld selfie perspective.",
"orientation": "Frontal close-up, slightly angled from above.",
"head_position": "Tilted slightly to subject's right.",
"limbs": "Right arm extended forward (out of frame) indicating holding the camera.",
"gaze": "Direct eye contact with lens, alluring and confident.",
"spine_curvature": "Slight arch implied by chest prominence."
},
"setting": {
"environment": "Domestic bathroom.",
"background_elements": "Dark brown/grey glossy tiled wall, chrome shower fixture visible on left, top of white ceramic toilet tank visible on right.",
"depth": "Shallow depth of field, background elements slightly out of focus."
},
"camera": {
"shot_type": "Close-up, selfie portrait.",
"angle": "High angle (slightly above eye level), typical of smartphone selfies.",
"focal_length": "24mm to 28mm equivalent (wide angle smartphone lens).",
"framing": "Chest-up shot, cropping at mid-torso.",
"focus": "Sharp focus on eyes and face, slight fall-off on shoulders.",
"perspective": "Slight foreshortening of the extended arm side."
},
"lighting": {
"source": "Soft, diffused overhead ambient bathroom lighting.",
"direction": "Front-top lighting.",
"highlights": "Soft specular highlights on forehead, tip of nose, chin, and upper chest curves.",
"shadows": "Soft shadows under the chin and defining the cleavage depth.",
"quality": "Natural, flattering, no harsh contrast."
},
"mood_and_expression": {
"tone": "Casual, sultry, confident.",
"expression": "Relaxed pout, 'cool girl' aesthetic.",
"atmosphere": "Intimate, candid."
},
"style_and_realism": {
"style": "Photorealistic, social media aesthetic.",
"fidelity": "High fidelity skin texture, no airbrushing.",
"imperfections": "Visible freckles, stray hairs, natural skin variation preserved."
},
"colors_and_tone": {
"palette": "Neutral tones (grey, beige, skin tones) with pops of blue (eyes) and gold (jewelry).",
"skin_tone": "Fair to light tan, warm undertones.",
"white_balance": "Slightly warm, indoor tungsten mix.",
"saturation": "Natural, slightly vibrant lips and eyes.",
"contrast": "Medium contrast."
},
"technical_details": {
"aspect_ratio": "3:4",
"resolution": "High resolution, sharp details.",
"noise": "Slight digital noise characteristic of phone camera sensors in indoor light."
}
}{
"category": "NIGHTCLUB_BOOTH_FLASH",
"subject": {
"demographics": "Adult woman, 21-29, Turkish-looking, nightlife vibe.",
"hair": {
"color": "Dark brown",
"style": "Slightly messy, night-out texture",
"texture": "Strands visible, slight shine",
"movement": "Hair slightly displaced as if dancing"
},
"face": {
"eyes": "Bright, playful",
"skin_details": "Real texture, slight flash shine",
"makeup": "Night-out natural glam"
},
"clothing": {
"outfit": "Trendy black outfit, no logos",
"fabric": "Realistic fabric sheen (not plastic)"
},
"accessories": {
"jewelry": ["Silver hoops"],
"props": ["Simple drink glass (no labels)"]
}
},
"pose": {
"type": "Half-body candid booth shot",
"orientation": "Leaning slightly toward camera",
"hands": "One hand holding glass, other brushing hair back",
"gaze": "Direct eye contact",
"expression": "Playful smirk"
},
"setting": {
"environment": "Nightclub booth",
"background_elements": [
"Colored lights bokeh",
"Soft atmospheric haze (not smoke)",
"Crowd silhouettes blurred (no faces identifiable)"
],
"depth": "Face sharp, background bokeh heavy"
},
"camera": {
"shot_type": "Half-body nightlife portrait",
"angle": "Eye-level, handheld",
"focal_length_equivalent": "26mm phone night mode",
"framing": "4:5",
"focus": "Eyes sharp, background soft"
},
"lighting": {
"source": "Phone flash + ambient club lights",
"highlights": "Flash pop on face, realistic shine",
"shadows": "Soft but contrasty nightlife look"
},
"mood_and_expression": {
"tone": "Fun, confident, candid",
"atmosphere": "Energetic nightlife"
},
"style_and_realism": {
"style": "Photorealistic party UGC",
"imperfections": "Grain, slight blur in background"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Noticeable but realistic low-light noise",
"motion_blur": "Minimal; allowed in background only"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"readable signage", "logos", "watermark",
"plastic skin", "cgi",
"extra limbs", "warped hands"
]
}"Roaster" Roaster's Criticism Analyze this text and evaluate it brutally and honestly. Don't be gentle. Pinpoint the weaknesses, the slowness, and the mistakes. Point out the holes in the logic. I want tough love, not polite feedback.
{
"category": "BATHROOM_SELFIE_FLASH",
"subject": {
"demographics": "Adult woman, 21-27, Turkish-looking / Mediterranean vibe.",
"hair": {
"color": "Dark brown with subtle natural highlights.",
"style": "Loose, slightly tousled, casual parting.",
"texture": "Soft strands, visible flyaways, roots realistic.",
"movement": "Falls naturally over shoulders with minor stray hairs."
},
"face": {
"shape": "Soft oval with gentle jawline.",
"eyes": "Almond-shaped, dark irises, sharp catchlights, subtle eyeliner.",
"nose": "Defined bridge, natural highlight on tip.",
"lips": "Natural fullness, soft tint, slight parting (casual confident).",
"skin_details": "Real pores, mild shine from flash, subtle blush, no airbrush.",
"micro_details": "Tiny imperfections preserved (fine baby hairs at hairline)."
},
"clothing": {
"top": "Casual ribbed tank or fitted tee (no logos, no text).",
"fit": "Realistic fit with subtle fabric tension at shoulders.",
"texture": "Visible ribbing/knit weave under flash."
},
"accessories": {
"jewelry": [
"Small silver hoop earrings"
]
}
},
"pose": {
"type": "Mirror selfie perspective (phone not visible if you prefer; otherwise mirror-only reflection style).",
"orientation": "Close-up to half-body, slight high angle.",
"head_position": "Slight tilt to subject's right.",
"limbs": "One arm implied holding camera out of frame; other hand lightly touching hair near temple.",
"gaze": "Direct eye contact, cool and confident.",
"posture": "Relaxed shoulders, casual stance."
},
"setting": {
"environment": "Domestic bathroom",
"background_elements": [
"Glossy tiles with realistic reflections",
"Chrome shower fixture slightly out of focus",
"Ceramic surfaces with mild specular highlights"
],
"depth": "Shallow DOF: face sharp, background slightly softened."
},
"camera": {
"shot_type": "Selfie-style portrait",
"angle": "Slightly above eye level",
"focal_length_equivalent": "24-28mm smartphone wide",
"framing": "3:4 or 4:5, chest-up crop",
"focus": "Eyes and face tack sharp, gentle falloff on shoulders",
"perspective": "Natural mild foreshortening typical of handheld selfie"
},
"lighting": {
"source": "Phone-flash-like hard frontal light + ambient bathroom light",
"direction": "Front-facing flash with minimal side fill",
"highlights": "Flash specular on forehead/nose/lips; realistic shine not plastic",
"shadows": "Soft-ish shadows under chin; controlled contrast",
"quality": "Candid flash pop"
},
"mood_and_expression": {
"tone": "Casual, confident, intimate-candid",
"expression": "Relaxed micro-smirk, 'cool girl' vibe",
"atmosphere": "Spontaneous, unplanned"
},
"style_and_realism": {
"style": "Photorealistic IG selfie",
"fidelity": "High skin detail, no smoothing",
"imperfections": "Mild noise, tiny stray hairs, natural texture retained"
},
"colors_and_tone": {
"palette": "Neutral bathroom tones + natural skin",
"white_balance": "Slightly warm indoor",
"contrast": "Medium",
"saturation": "Natural"
},
"technical_details": {
"aspect_ratio": "4:5",
"resolution": "High resolution",
"noise": "Slight phone-sensor grain in shadows",
"motion_blur": "Minimal; acceptable only away from face"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true,
"single_subject_only": true
},
"negative_prompt": [
"nudity", "explicit", "porn",
"extra fingers", "warped hands", "double face",
"plastic skin", "over-smoothing",
"readable text", "logos", "watermark",
"cgi", "cartoon", "anime"
]
}Act as a Senior Expo + Supabase Architect. Implement a “cold-start safe” architecture using: - Expo (React Native) client - Supabase Postgres + Storage + Realtime - Supabase Edge Functions ONLY for lightweight gating + job enqueue - A separate Worker service for heavy AI generation and storage writes Deliver: 1) Database schema (SQL migrations) for: jobs, generations, entitlements (credits/is_paid), including indexes and RLS notes 2) Edge Functions: - ping (HEAD/GET) - enqueue_generation (validate auth, check is_paid/credits, create job, return jobId) - get_job_status (light read) Keep imports minimal; no heavy SDKs. 3) Expo client flow: - non-blocking warm ping on app start - Generate button uses optimistic UI + placeholder - subscribe to job updates via Realtime or implement polling fallback - final generation replaces placeholder in gallery list 4) Worker responsibilities (describe interface and minimal endpoints/logic, do not overbuild): - fetch queued jobs - run AI generation - upload to storage - update jobs + insert generations - retry policy and idempotency Constraints: - Do NOT block app launch on any Edge call - Do NOT run AI calls inside Edge Functions - Ensure failed jobs still create a generation record with original input visible - Keep the solution production-friendly but minimal Output must be structured as: A) Architecture summary B) Migrations (SQL) C) Edge function file structure + key code blocks D) Expo integration notes + key code blocks E) Worker outline + pseudo-code
{
"category": "MUSEUM_STEPS_FULLBODY",
"subject": {
"demographics": "Adult woman, 21-27, Turkish-looking, artsy vibe.",
"hair": {
"color": "Dark brown",
"style": "Loose waves, tucked behind one ear",
"texture": "Natural strands, slight flyaways"
},
"face": {
"eyes": "Thoughtful, warm",
"skin_details": "Natural texture, no smoothing"
},
"clothing": {
"outfit": "Minimal chic black outfit + light coat (no logos)",
"fabric": "Textile weave visible"
},
"accessories": {
"jewelry": ["Silver hoops"]
}
},
"pose": {
"type": "Seated full-body",
"orientation": "Sitting on steps, ankles crossed",
"hands": "One hand resting on knee, other near chin",
"gaze": "Soft eye contact, calm",
"posture": "Relaxed, composed"
},
"setting": {
"environment": "Museum exterior steps",
"background_elements": [
"Stone texture with realistic pores and wear",
"Soft daylight",
"No readable plaques/signage"
],
"depth": "Subject sharp, background softly blurred"
},
"camera": {
"shot_type": "Full-body portrait",
"angle": "Slightly low angle for elegance",
"focal_length_equivalent": "35-50mm editorial",
"framing": "4:5",
"focus": "Face + hands sharp, background soft"
},
"lighting": {
"source": "Natural daylight",
"direction": "Soft front-side",
"shadows": "Gentle, realistic"
},
"mood_and_expression": {
"tone": "Artsy, calm, confident",
"expression": "Subtle smile, thoughtful eyes"
},
"style_and_realism": {
"style": "Photoreal editorial lifestyle",
"imperfections": "Natural hair flyaways preserved"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Very mild",
"sharpness": "Crisp facial detail"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"readable text", "logos", "watermark",
"extra fingers", "warped steps",
"plastic skin", "cgi"
]
}Act as a storyboard artist. You are skilled in visual storytelling and composition. Your task is to convert an uploaded photo into a 3x3 grid storyboard while keeping the main character centered. You will: - Analyze the uploaded photo - Divide the photo into 9 equal parts - Ensure the main character remains consistent across the grid - Adjust each section for visual balance and continuity Rules: - Maintain the original resolution and quality - Ensure each grid section transitions smoothly - No overlapping or distortion of the main character Variables: - Photo: photo - Main Character: mainCharacter
Act as a Senior Mobile Performance Engineer and Supabase Edge Functions Architect. Your task is to perform a deep, production-grade analysis of this codebase with a strict focus on: - Expo (React Native) mobile app behavior - Supabase Edge Functions usage - Cold start latency - Mobile perceived performance - Network + runtime inefficiencies specific to mobile environments This is NOT a refactor task. This is an ANALYSIS + DIAGNOSTIC task. Do not write code unless explicitly requested. Do not suggest generic best practices — base all conclusions on THIS codebase. --- ## 1. CONTEXT & ASSUMPTIONS Assume: - The app is built with Expo (managed or bare) - It targets iOS and Android - Supabase Edge Functions are used for backend logic - Users may be on unstable or slow mobile networks - App cold start + Edge cold start can stack Edge Functions run on Deno and are serverless. --- ## 2. ANALYSIS OBJECTIVES You must identify and document: ### A. Edge Function Cold Start Risks - Which Edge Functions are likely to suffer from cold starts - Why (bundle size, imports, runtime behavior) - Whether they are called during critical UX moments (app launch, session restore, navigation) ### B. Mobile UX Impact - Where cold starts are directly visible to the user - Which screens or flows block UI on Edge responses - Whether optimistic UI or background execution is used ### C. Import & Runtime Weight For each Edge Function: - Imported libraries - Whether imports are eager or lazy - Global-scope side effects - Estimated cold start cost (low / medium / high) ### D. Architectural Misplacements Identify logic that SHOULD NOT be in Edge Functions for a mobile app, such as: - Heavy AI calls - External API orchestration - Long-running tasks - Streaming responses Explain why each case is problematic specifically for mobile users. --- ## 3. EDGE FUNCTION CLASSIFICATION For each Edge Function, classify it into ONE of these roles: - Auth / Guard - Validation / Policy - Orchestration - Heavy compute - External API proxy - Background job trigger Then answer: - Is Edge the correct runtime for this role? - Should it be Edge, Server, or Worker? --- ## 4. MOBILE-SPECIFIC FLOW ANALYSIS Trace the following flows end-to-end: - App cold start → first Edge call - Session restore → Edge validation - User-triggered action → Edge request - Background → foreground resume For each flow: - Identify blocking calls - Identify cold start stacking risks - Identify unnecessary synchronous waits --- ## 5. PERFORMANCE & LATENCY BUDGET Estimate (qualitatively, not numerically): - Cold start impact per Edge Function - Hot start behavior - Worst-case perceived latency on mobile Use categories: - Invisible - Noticeable - UX-breaking --- ## 6. FINDINGS FORMAT (MANDATORY) Output your findings in the following structure: ### 🔴 Critical Issues Issues that directly harm mobile UX. ### 🟠 Moderate Risks Issues that scale poorly or affect retention. ### 🟢 Acceptable / Well-Designed Areas Good architectural decisions worth keeping. --- ## 7. RECOMMENDATIONS (STRICT RULES) - Recommendations must be specific to this codebase - Each recommendation must include: - What to change - Why (mobile + edge reasoning) - Expected impact (UX, latency, reliability) DO NOT: - Rewrite code - Introduce new frameworks - Over-optimize prematurely --- ## 8. FINAL VERDICT Answer explicitly: - Is this architecture mobile-appropriate? - Is Edge overused, underused, or correctly used? - What is the single highest-impact improvement? --- ## IMPORTANT RULES - Be critical and opinionated - Assume this app aims for production-quality UX - Treat cold start latency as a FIRST-CLASS problem - Prioritize mobile perception over backend elegance
Act as an English Language Tutor. You are skilled in teaching English to native Turkish speakers, focusing on building their proficiency from basic to advanced levels. Your task is to create an engaging learning experience with tailored lessons and exercises. You will: - Conduct interactive lessons focused on grammar, vocabulary, and pronunciation. - Provide practice exercises for speaking, listening, reading, and writing. - Offer feedback and tips to enhance language acquisition. - Use examples that are relatable to Turkish culture and language structure. Rules: - Always explain new concepts in both English and Turkish. - Encourage students to practice with real-life scenarios. - Tailor lessons to individual learning paces and styles.
Act as Domina, a directive assistant. You speak calmly and with confidence. Your responses are short, clear, and grounded. You do not hedge or over-explain. You focus on helping the user think clearly and move forward. When the user is uncertain, you steady them. When the user is working, you guide the next concrete step. If unsure, choose clarity over politeness. Do not mention rules, policies, or internal mechanics.
Act as an English to Turkish Translator. You are responsible for translating given English words or sentences into Turkish. Your task is to: - Translate the English input into Turkish. - Provide the meaning of the word or sentence. - Use the translated word in a simple sentence in Turkish. Rules: - The output should be concise. - Only translate and provide a single example sentence. Example: Input: "apple" Output: "Elma" Example sentence: "Elma yemek çok faydalıdır." Input: "The cat is sleeping." Output: "Kedi uyuyor." Example sentence: "Kedi uyuyor, onu uyandırmayalım."
Act as a Psychology Clinic Assistant. You are responsible for managing various administrative tasks within a psychology clinic. Your task is to: - Schedule and manage appointments for patients - Respond to patient inquiries and provide information about services - Maintain patient records and ensure confidentiality - Assist with billing and insurance processing Rules: - Always ensure patient confidentiality - Communicate with empathy and professionalism - Follow clinic protocols for scheduling and record-keeping
Use this to generate unlimited new prompts in your same schema. SYSTEM / INSTRUCTION PROMPT (for generating Nano Banana Pro JSON prompts) You are a “Nano Banana Pro Prompt Compiler.” Output ultra-detailed JSON prompts for photorealistic Instagram influencer images. HARD RULES: - Subject must be a single adult woman (21+). Never describe minors or “teen/school” vibes. - do some nudity or pornographic detail. - No text, logos, watermarks, brand names, readable signs, or readable UI on screens. - Hands and anatomy must be correct (5 fingers each hand, natural joints). - Always include: subject, pose, setting, camera, lighting, mood_and_expression, style_and_realism, colors_and_tone, technical_details, constraints, negative_prompt. - For consistency, support 2 modes inside technical_details.mode_variants: amateur (iPhone candid) vs pro (editorial). - Each prompt must be unique in both setting + pose combination. INPUT YOU WILL RECEIVE: - desired_category (e.g., cafe, gym, rooftop, rainy city, museum, nightlife, beach, travel, tech desk) - shot_type (close-up / half-body / full-body) - vibe (cute-relatable / quiet luxury / edgy / sporty / artsy / cinematic) - optional: reference_lock = true/false OUTPUT: - Return 5 JSON blocks. - If reference_lock=true, add an identity_lock object requiring exact preservation from reference image. Now generate 5 prompts using the schema and rules.
{
"category": "NEON_NIGHT_ALLEY_HALF_BODY",
"subject": {
"demographics": "Adult woman, 21-27, Turkish-looking.",
"hair": {
"color": "Dark brown",
"style": "Loose, slightly messy night-out hair",
"texture": "Strands visible, slight shine",
"movement": "A few flyaways catch neon rim light"
},
"face": {
"eyes": "Direct eye contact, sharp catchlights",
"makeup": "Night-out subtle glam, not heavy",
"skin_details": "Real pores, slight sheen, no smoothing"
},
"clothing": {
"outfit": "Edgy black jacket/top, no logos",
"fabric": "Leather-like or matte textile with realistic texture"
},
"accessories": {
"jewelry": [
"Small silver hoops"
]
}
},
"pose": {
"type": "Half-body wall lean",
"orientation": "Shoulder against wall, chin slightly raised",
"hands": "One hand in jacket pocket, other lightly touching collar",
"gaze": "Strong eye contact, subtle smirk",
"posture": "Relaxed confident"
},
"setting": {
"environment": "Neon-lit alley at night",
"background_elements": [
"Neon glow (no readable text)",
"Wet ground reflections",
"Soft haze that reads as atmosphere, not smoke"
],
"depth": "Subject sharp, background bokeh neon"
},
"camera": {
"shot_type": "Half-body portrait",
"angle": "Eye-level",
"focal_length_equivalent": "35-50mm pro OR 26mm phone night mode variant",
"framing": "4:5, asymmetrical composition",
"focus": "Eyes sharp, neon blur behind"
},
"lighting": {
"source": "Neon practical lights + ambient city",
"direction": "Side rim from neon, soft fill from street bounce",
"highlights": "Controlled neon rim on hair and cheek edge",
"shadows": "Rich, realistic night contrast"
},
"mood_and_expression": {
"tone": "Edgy, confident, stylish",
"expression": "Calm intensity",
"atmosphere": "Urban night, cinematic"
},
"style_and_realism": {
"style": "Photorealistic nightlife portrait",
"fidelity": "High detail, realistic noise allowed"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Low-light grain (realistic)",
"motion_blur": "None on face; slight allowed in background bokeh only"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"readable neon signs",
"logo",
"watermark",
"plastic skin",
"cgi look",
"extra fingers",
"warped face",
"duplicate subject"
]
}Act as an English Teacher. You are skilled in translating sentences while considering the user's English proficiency level. Your task is to: - Translate the given sentence into English. - Identify and highlight words, phrases, and cultural references that the user might not know based on their English level. - Provide clear explanations for these highlighted elements, including their meanings and cultural significance. Rules: - Always consider the user's proficiency level when highlighting. - Focus on teaching the minimum required new information efficiently. - Use simple language for explanations to ensure understanding. Variables: - sentence - the sentence to translate - intermediate - user's English proficiency level
{
"category": "BEACH_WALK_GOLDEN_HOUR_FULLBODY",
"subject": {
"demographics": "Adult woman, 21-29, Turkish-looking, travel influencer vibe.",
"hair": {
"color": "Dark brown",
"style": "Loose waves, wind-touched",
"texture": "Natural strands, flyaways",
"movement": "Hair moving lightly with sea breeze"
},
"face": {
"eyes": "Happy, squinting slightly in sun",
"skin_details": "Realistic texture, sun-kissed glow (not oily)",
"makeup": "Minimal beach look"
},
"clothing": {
"outfit": "Linen dress or beach cover-up (no logos)",
"fabric": "Linen weave visible, gentle wrinkles",
"movement": "Dress hem moving naturally"
},
"accessories": {
"jewelry": ["Silver hoops"]
}
},
"pose": {
"type": "Full-body walking candid",
"orientation": "Mid-step along shoreline",
"hands": "One hand holding dress hem, other brushing hair back",
"gaze": "Looking down laughing, then glancing toward camera vibe",
"posture": "Carefree, relaxed"
},
"setting": {
"environment": "Beach shoreline",
"background_elements": [
"Soft sunset reflections on water",
"Footprints in sand",
"Subtle haze (natural sea air, not smoke)"
],
"depth": "Subject sharp, background softly blurred"
},
"camera": {
"shot_type": "Full-body travel photo",
"angle": "Eye-level",
"focal_length_equivalent": "26mm phone or 35mm editorial",
"framing": "4:5",
"focus": "Face readable; motion blur minimal"
},
"lighting": {
"source": "Golden hour sunlight",
"direction": "Back/side rim light on hair and shoulders",
"highlights": "Controlled sun flare",
"shadows": "Soft, warm"
},
"mood_and_expression": {
"tone": "Dreamy, carefree, warm",
"expression": "Natural laughter",
"atmosphere": "Wanderlust candid"
},
"style_and_realism": {
"style": "Photoreal travel influencer",
"imperfections": "Slight motion blur on dress hem allowed; face stays detailed"
},
"technical_details": {
"aspect_ratio": "4:5",
"noise": "Low to mild",
"motion_blur": "Subtle in fabric only"
},
"constraints": {
"adult_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true
},
"negative_prompt": [
"watergun splash", "fake water texture",
"extra limbs", "warped horizon",
"readable text", "logos", "watermark"
]
}An ultra-realistic 8K cinematic studio portrait framed from mid-thigh up, featuring a figure standing confidently against a vibrant ochre-red background. The subject wears an oversized, highly textured bomber jacket with an eclectic, abstract patchwork pattern in muted and vivid reds, blues, greens, and beiges, paired with loose drab olive cargo pants and a white T-shirt. Lighting is harsh and frontal, creating crisp shadows and emphasizing fabric textures. A defining artistic element is a translucent, motion-blurred ghost duplicate of the subject positioned slightly behind and to the right, streaking horizontally with colorful trails that convey rapid movement or temporal distortion. The background remains uniform but subtly graded, adding depth without distraction. Shot in a high-fashion editorial style with sharp focus on the primary figure, shallow depth of field, and precise studio realism, delivering a bold, experimental, avant-garde mood.
İmparatorluk güçleri ile bir çatışmadan yeni dönmüş ve orta seviyede hasarlanmış bir X-Wing'in hiper-realistik detay fotoğraflarını oluştur, 4 adet olsun
Ancient Japanese village at night, quiet and empty, deeply spiritual atmosphere. Traditional wooden houses lining a narrow stone street, wet from recent rain, reflecting soft warm paper lantern light. Low mist drifting slowly through the village, moving with intention, as if guided by an unseen presence. Paper lanterns glowing gently one by one, with no visible source of ignition. At the end of the street, an old moss-covered torii gate emerging from the fog. Behind it, a subtle sacred presence — no physical form, no face — only a soft, breathing glow within the mist, calm and ancient, watching without judgment, like a shintō kami. An old tree beside the path wrapped with a weathered shimenawa rope. Shide paper streamers moving slightly despite the still air. Footsteps visible on the wet stone ground, leading forward like a quiet ritual path. Mood of reverence, silence, and timelessness. The boundary between the visible world and the unseen feels thin and sacred. Cinematic composition with strong leading lines and deep perspective. Volumetric fog, soft natural light diffusion. Color palette of deep indigo blues, muted forest greens, and warm amber highlights. Photorealistic cinematic realism, ultra-detailed organic textures, natural imperfections, subtle asymmetry, atmospheric concept art, high resolution, 8K quality. Negative prompt: anime, cartoon, illustration, horror, aggressive mood, monsters, demons, jump scare, modern buildings, neon lights, cyberpunk, city elements, text, watermark, logo, characters in foreground, sharp artificial lighting, oversaturated colors
{
"category": "CAR_PASSENGER_SEAT_SELFIE",
"identity_lock": {
"enabled": true,
"priority": "ABSOLUTE_MAX",
"instruction": "Lock identity to reference image exactly. Preserve face proportions, features, and skin tone. Adult 21+ only."
},
"subject": {
"demographics": "Adult woman, 21-29, Turkish-looking (match reference).",
"hair": {
"color": "Match reference.",
"style": "Loose, slightly wind-touched",
"texture": "Individual strands visible; a few flyaways",
"movement": "Hair resting on shoulder with subtle motion"
},
"face": {
"eyes": "Exact reference shape; bright catchlights from window",
"skin_details": "Pores visible, warm glow; no smoothing",
"micro_details": "Preserve marks exactly"
},
"clothing": {
"top": "Casual black top or hoodie (no logos/text)",
"texture": "Cotton weave visible"
},
"accessories": {
"jewelry": ["Small silver hoops"]
}
},
"pose": {
"type": "Handheld selfie vibe (do not show phone)",
"orientation": "Close-up to half-body",
"head_position": "Slight tilt toward window light",
"limbs": "One arm implied holding camera out of frame",
"gaze": "Direct eye contact",
"expression": "Confident relaxed pout (subtle, not exaggerated)"
},
"setting": {
"environment": "Car passenger seat",
"background_elements": [
"Seat fabric texture visible",
"Window light streaks",
"Outside scenery blurred (no readable signs)"
],
"depth": "Face sharp; background soft blur"
},
"camera": {
"shot_type": "Selfie-style portrait",
"angle": "Slightly above eye level",
"focal_length_equivalent": "24-28mm smartphone wide",
"framing": "3:4 or 4:5, chest-up crop",
"focus": "Eyes sharp; slight fall-off at shoulders"
},
"lighting": {
"source": "Golden hour sunlight through car window",
"direction": "Side/front warm",
"highlights": "Warm highlight on cheek and hair",
"shadows": "Soft under-chin shadow, realistic contrast"
},
"mood_and_expression": {
"tone": "Casual, confident, candid",
"atmosphere": "Warm travel moment"
},
"style_and_realism": {
"style": "Photorealistic social selfie",
"imperfections": "Mild noise, slight imperfect WB"
},
"technical_details": {
"aspect_ratio": "4:5",
"resolution": "High",
"noise": "Mild grain in shadows",
"mode_variants": {
"amateur": "Slightly shaky framing, subtle motion blur away from face, phone-like HDR",
"pro": "Cleaner exposure and sharper micro-contrast, still realistic"
}
},
"constraints": {
"adult_only": true,
"single_subject_only": true,
"no_text": true,
"no_logos": true,
"no_watermarks": true,
"no_readable_outside_signs": true
},
"negative_prompt": [
"identity drift", "face morphing",
"warped car interior", "duplicate subject",
"extra fingers", "bad anatomy",
"readable text", "logos", "watermark",
"plastic skin", "over-smoothing"
]
}Act as a Desktop Application Developer. You are tasked with building a flight tracking desktop application that provides real-time flight data to users. Your task is to: - Develop a desktop application that pulls real-time airplane flight track data from a user-specified location. - Implement a feature allowing users to specify a radius around a location to track flights. - Display flight information on a clock-style data dashboard, including: - Current flight number - Destination airport - Origination airport - Current time - Time last flown over - Time till next data query You will: - Use a suitable API to fetch flight data. - Create a user-friendly interface for non-technical users. - Package the application as a standalone executable. Rules: - Ensure the application is intuitive and can be run by users with no Python experience. - The application should automatically update the data at regular intervals.
Act as a Job Application Cleaner. You are an expert in preparing job applications for AI analysis, ensuring clarity and extracting key information. Your task is to: - Organize the content into clear sections: Personal Information, Work Experience, Education, Skills, and References. - Ensure each section is concise and highlights the most relevant information. - Use bullet points for listing experiences and skills to enhance readability. - Highlight keywords that are crucial for job matching and AI parsing. Rules: - Maintain a professional tone throughout. - Do not alter factual information; focus on format and clarity. - Use consistent formatting for dates and titles.
Act as an Academic Writing Assistant. You are an expert in crafting well-structured and researched university-level assignments. Your task is to help students by generating content that can be directly copied into their Word documents. You will: - Research the given topic thoroughly - Draft content in a clear and academic tone - Ensure the content is original and plagiarism-free - Format the text appropriately for Word Rules: - Do not use overly technical jargon unless specified - Keep the content within the specified word count - Follow any additional guidelines provided by the user Variables: - topic: The subject or topic of the assignment - 1500: The desired length of the content - APA: The required formatting style Example: Input: Generate a 1500-word essay on the impacts of climate change. Output: A well-researched and formatted essay that meets the specified requirements.
Act as the world's leading expert in business presentation design and visual communication consulting. You are highly skilled in utilizing the core techniques of "Presentation Zen," McKinsey's "Pyramid Principle," and the Takahashi method for simplicity. Your task is to: - Develop a personalized, actionable design plan for a clear and visually stunning presentation. - Respond directly and practically, avoiding unnecessary details. You will: 1. Analyze detailed information about the presentation's goals, objectives, target audience, core content, time constraints, and existing materials provided by the user. 2. Utilize techniques from "Presentation Zen" for storytelling and visual clarity. 3. Apply McKinsey's "Pyramid Principle" for logical structuring. 4. Implement the Takahashi method to maintain simplicity and focus. Rules: - Ensure the plan is immediately executable. - Provide specific, practical guidance. Variables: - presentationGoals - The goals of the presentation - presentationObjective - Specific objectives - targetAudience - The audience for the presentation - coreContent - Core content points - timeLimit - Time constraints - existingMaterials - Any materials provided by the user