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Indiana DreamGirl

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17,812 просмотров • 1 год назад •via X (Twitter)

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Made this video with GPT IMAGE 2 + seedance 2.5 Prompt ⤵️ DURATION: 30 seconds ASPECT RATIO: Use the video's available landscape/cinematic ratio. STYLE: Ultra-photorealistic live-action cooking and lifestyle vlog, premium food-commercial cinematography, realistic human behavior, natural hand movements, realistic cooking physics, authentic home atmosphere, cinematic lighting, subtle handheld camera movement, realistic food textures, natural skin and hair. REFERENCE ASSIGNMENT: irene galbraith = FEMALE CHARACTER ĐI MДGĐ = KITCHEN ENVIRONMENT imogen = INGREDIENTS AND COOKING SETUP CurlyQ2 = COOKING ACTION silvercoupe = FINISHED CREAMY CHICKEN PASTA @IMG6 = DINING SCENE Use all uploaded references consistently. CHARACTER CONSISTENCY: The SAME woman from irene galbraith must appear throughout the entire video. Preserve her exact face, facial features, hairstyle, skin tone, body proportions and overall identity. Do not change her appearance between scenes. Preserve the same casual home-cooking outfit from irene galbraith. FOOD CONSISTENCY: The dish throughout the entire video is EXACTLY the creamy chicken pasta shown in imogen and silvercoupe. Maintain the same pasta, chicken, mushrooms, cherry tomatoes, cream sauce, parmesan and parsley throughout. Do not change the dish between scenes. --- 0–4 SECONDS — PREPARATION Use ĐI MДGĐ and imogen. The woman enters the kitchen and approaches the countertop. The ingredients for creamy chicken pasta are neatly arranged in front of her. She looks over the ingredients and begins preparing dinner. Camera starts with a natural medium-wide kitchen shot and gently moves closer. Show the real home environment. --- 4–9 SECONDS — CHOPPING Use imogen and CurlyQ2. The woman places vegetables on the wooden cutting board. She carefully chops garlic, onion and mushrooms with a kitchen knife. Show realistic hand and finger movement. Include a brief close-up of the knife cutting the vegetables. Vegetables naturally separate as she cuts them. Return to a medium shot showing her focused expression. Keep the action smooth and believable. --- 9–15 SECONDS — COOKING Use CurlyQ2. She places the pan on the stove and adds a small amount of olive oil. She adds the prepared chicken and vegetables into the hot pan. A realistic sizzling sound and subtle steam accompany the cooking. She uses a wooden spoon to stir the ingredients. The chicken gradually cooks while the vegetables soften. Camera moves from a side angle toward the pan. Include a close-up of the food sizzling and being stirred. --- 15–20 SECONDS — CREAMY SAUCE & PASTA Continue using CurlyQ2 and imogen. She adds the creamy sauce ingredients to the pan. The sauce mixes naturally with the chicken and vegetables. She adds the cooked pasta. She gently tosses and stirs everything together. The creamy sauce coats the pasta realistically. Steam rises naturally from the pan. Show a satisfying close-up of the finished creamy texture. Do not rush this action. --- 20–24 SECONDS — PLATING Use silvercoupe. The woman transfers the freshly cooked creamy chicken pasta from the pan onto the ceramic plate. She carefully arranges the pasta. She adds parmesan and fresh parsley on top. A small amount of realistic steam rises from the hot food. Camera transitions into a premium close-up food shot. Make the dish look genuinely freshly cooked and appetizing. --- 24–30 SECONDS — DINNER Use @IMG6. The woman sits at the dining table with the finished creamy chicken pasta. She picks up the fork naturally. She takes a small bite. She tastes the food and gives a genuine satisfied smile. She briefly looks toward the camera as if sharing the moment with her audience. Camera slowly pushes toward her and the plate. End on a warm, cozy lifestyle shot of the woman enjoying the dinner she prepared herself. CUT TO BLACK. --- CAMERA PRIORITY: Use natural cinematic camera movement. Wide establishing shots for the kitchen. Medium shots for cooking actions. Close-ups for chopping and sizzling food. Macro-style food detail during sauce and plating. Gentle push-in during the final dining moment. Avoid excessive camera shake. Avoid unnecessary camera movement. Keep the woman and the food clearly readable. --- REALISM PRIORITY: Natural human movement. Realistic hand anatomy. Realistic knife handling. Realistic food physics. Realistic steam. Realistic sauce consistency. Realistic sizzling and stirring. Natural facial expressions. Natural eating motion. No exaggerated movements. No instant food transformations. No teleporting ingredients. No changing kitchen. No changing outfit. No changing character. --- FINAL RULES: Same woman throughout. Same face throughout. Same kitchen throughout. Same outfit throughout. Same creamy chicken pasta throughout. Same ingredients throughout. No different woman. No face morphing. No extra people. No distorted hands. No extra fingers. No unrealistic eating. No cartoon. No anime. No fantasy. No text. No logos. No watermark. The final result should feel like a genuine cinematic cooking vlog filmed inside a real woman's home. Reference Image prompt: Create an ultra-photorealistic premium female character reference sheet using the uploaded woman as the STRICT IDENTITY REFERENCE. IDENTITY — ABSOLUTE PRIORITY: Preserve the exact identity of the woman in the uploaded image. Keep her: - exact face shape - eyes - eyebrows - nose - lips - jawline - skin tone - natural skin texture - hairstyle - hairline - facial proportions - age appearance - feminine body proportions Do not redesign her face. Do not beautify or alter her recognizable features. She must look like the exact same real woman in every view. CHARACTER CONCEPT: Create a realistic modern young woman who will be the main protagonist of a cinematic everyday cooking/lifestyle video. She has a natural, approachable appearance and relaxed confident personality. Create a realistic everyday home-cooking appearance rather than a fashion-model look. OUTFIT: A tasteful modern casual home outfit suitable for cooking dinner: - simple fitted neutral-colored top - comfortable casual trousers - clean natural styling - minimal jewelry - no high-fashion styling - no excessive makeup Keep the outfit practical and believable for a woman cooking at home. CHARACTER SHEET LAYOUT: Create one professional reference sheet containing: 1. Full-body FRONT view 2. Full-body 3/4 FRONT view 3. Full-body SIDE view 4. Full-body BACK view 5. Medium portrait 6. Close-up facial portrait 7. Natural smiling expression 8. Neutral expression 9. Hands and clothing detail Every view must show the EXACT SAME WOMAN. BODY & ANATOMY: Natural realistic feminine proportions. Lean, healthy everyday physique. Accurate human anatomy. Natural posture. No exaggerated body proportions. HAIR: Preserve the exact hairstyle from the uploaded reference. Show realistic individual hair strands and natural volume. PHOTOGRAPHY: Ultra-photorealistic live-action photography. Premium cinematic lifestyle production quality. Realistic skin pores and texture. Natural hair detail. Physically accurate clothing fabric. Soft professional studio lighting. Natural shadows. Subtle realistic depth of field. High-end commercial photography quality. BACKGROUND: Clean warm-neutral studio background. Minimal distractions. The character must be clearly separated from the background. IDENTITY CONSISTENCY: This exact woman will be used as the main character in: irene galbraith Character CurlyQ2 Cooking Action @IMG6 Dining Scene and the final 30-second video. Her face and identity must remain identical across all references and video scenes. IMPORTANT NEGATIVE RULES: No face redesign. No different woman. No face morphing. No age change. No hairstyle change. No masculine features. No exaggerated makeup. No unrealistic body proportions. No cartoon. No anime. No CGI-looking skin. No text. No logo. No watermark. Premium photorealistic cinematic character reference sheet.
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Made this video with GPT IMAGE 2 + seedance 2.5 Prompt ⤵️ DURATION: 30 seconds ASPECT RATIO: Use the video's available landscape/cinematic ratio. STYLE: Ultra-photorealistic live-action cooking and lifestyle vlog, premium food-commercial cinematography, realistic human behavior, natural hand movements, realistic cooking physics, authentic home atmosphere, cinematic lighting, subtle handheld camera movement, realistic food textures, natural skin and hair. REFERENCE ASSIGNMENT: irene galbraith = FEMALE CHARACTER ĐI MДGĐ = KITCHEN ENVIRONMENT imogen = INGREDIENTS AND COOKING SETUP CurlyQ2 = COOKING ACTION silvercoupe = FINISHED CREAMY CHICKEN PASTA @IMG6 = DINING SCENE Use all uploaded references consistently. CHARACTER CONSISTENCY: The SAME woman from irene galbraith must appear throughout the entire video. Preserve her exact face, facial features, hairstyle, skin tone, body proportions and overall identity. Do not change her appearance between scenes. Preserve the same casual home-cooking outfit from irene galbraith. FOOD CONSISTENCY: The dish throughout the entire video is EXACTLY the creamy chicken pasta shown in imogen and silvercoupe. Maintain the same pasta, chicken, mushrooms, cherry tomatoes, cream sauce, parmesan and parsley throughout. Do not change the dish between scenes. --- 0–4 SECONDS — PREPARATION Use ĐI MДGĐ and imogen. The woman enters the kitchen and approaches the countertop. The ingredients for creamy chicken pasta are neatly arranged in front of her. She looks over the ingredients and begins preparing dinner. Camera starts with a natural medium-wide kitchen shot and gently moves closer. Show the real home environment. --- 4–9 SECONDS — CHOPPING Use imogen and CurlyQ2. The woman places vegetables on the wooden cutting board. She carefully chops garlic, onion and mushrooms with a kitchen knife. Show realistic hand and finger movement. Include a brief close-up of the knife cutting the vegetables. Vegetables naturally separate as she cuts them. Return to a medium shot showing her focused expression. Keep the action smooth and believable. --- 9–15 SECONDS — COOKING Use CurlyQ2. She places the pan on the stove and adds a small amount of olive oil. She adds the prepared chicken and vegetables into the hot pan. A realistic sizzling sound and subtle steam accompany the cooking. She uses a wooden spoon to stir the ingredients. The chicken gradually cooks while the vegetables soften. Camera moves from a side angle toward the pan. Include a close-up of the food sizzling and being stirred. --- 15–20 SECONDS — CREAMY SAUCE & PASTA Continue using CurlyQ2 and imogen. She adds the creamy sauce ingredients to the pan. The sauce mixes naturally with the chicken and vegetables. She adds the cooked pasta. She gently tosses and stirs everything together. The creamy sauce coats the pasta realistically. Steam rises naturally from the pan. Show a satisfying close-up of the finished creamy texture. Do not rush this action. --- 20–24 SECONDS — PLATING Use silvercoupe. The woman transfers the freshly cooked creamy chicken pasta from the pan onto the ceramic plate. She carefully arranges the pasta. She adds parmesan and fresh parsley on top. A small amount of realistic steam rises from the hot food. Camera transitions into a premium close-up food shot. Make the dish look genuinely freshly cooked and appetizing. --- 24–30 SECONDS — DINNER Use @IMG6. The woman sits at the dining table with the finished creamy chicken pasta. She picks up the fork naturally. She takes a small bite. She tastes the food and gives a genuine satisfied smile. She briefly looks toward the camera as if sharing the moment with her audience. Camera slowly pushes toward her and the plate. End on a warm, cozy lifestyle shot of the woman enjoying the dinner she prepared herself. CUT TO BLACK. --- CAMERA PRIORITY: Use natural cinematic camera movement. Wide establishing shots for the kitchen. Medium shots for cooking actions. Close-ups for chopping and sizzling food. Macro-style food detail during sauce and plating. Gentle push-in during the final dining moment. Avoid excessive camera shake. Avoid unnecessary camera movement. Keep the woman and the food clearly readable. --- REALISM PRIORITY: Natural human movement. Realistic hand anatomy. Realistic knife handling. Realistic food physics. Realistic steam. Realistic sauce consistency. Realistic sizzling and stirring. Natural facial expressions. Natural eating motion. No exaggerated movements. No instant food transformations. No teleporting ingredients. No changing kitchen. No changing outfit. No changing character. --- FINAL RULES: Same woman throughout. Same face throughout. Same kitchen throughout. Same outfit throughout. Same creamy chicken pasta throughout. Same ingredients throughout. No different woman. No face morphing. No extra people. No distorted hands. No extra fingers. No unrealistic eating. No cartoon. No anime. No fantasy. No text. No logos. No watermark. The final result should feel like a genuine cinematic cooking vlog filmed inside a real woman's home. Reference Image prompt: Create an ultra-photorealistic premium female character reference sheet using the uploaded woman as the STRICT IDENTITY REFERENCE. IDENTITY — ABSOLUTE PRIORITY: Preserve the exact identity of the woman in the uploaded image. Keep her: - exact face shape - eyes - eyebrows - nose - lips - jawline - skin tone - natural skin texture - hairstyle - hairline - facial proportions - age appearance - feminine body proportions Do not redesign her face. Do not beautify or alter her recognizable features. She must look like the exact same real woman in every view. CHARACTER CONCEPT: Create a realistic modern young woman who will be the main protagonist of a cinematic everyday cooking/lifestyle video. She has a natural, approachable appearance and relaxed confident personality. Create a realistic everyday home-cooking appearance rather than a fashion-model look. OUTFIT: A tasteful modern casual home outfit suitable for cooking dinner: - simple fitted neutral-colored top - comfortable casual trousers - clean natural styling - minimal jewelry - no high-fashion styling - no excessive makeup Keep the outfit practical and believable for a woman cooking at home. CHARACTER SHEET LAYOUT: Create one professional reference sheet containing: 1. Full-body FRONT view 2. Full-body 3/4 FRONT view 3. Full-body SIDE view 4. Full-body BACK view 5. Medium portrait 6. Close-up facial portrait 7. Natural smiling expression 8. Neutral expression 9. Hands and clothing detail Every view must show the EXACT SAME WOMAN. BODY & ANATOMY: Natural realistic feminine proportions. Lean, healthy everyday physique. Accurate human anatomy. Natural posture. No exaggerated body proportions. HAIR: Preserve the exact hairstyle from the uploaded reference. Show realistic individual hair strands and natural volume. PHOTOGRAPHY: Ultra-photorealistic live-action photography. Premium cinematic lifestyle production quality. Realistic skin pores and texture. Natural hair detail. Physically accurate clothing fabric. Soft professional studio lighting. Natural shadows. Subtle realistic depth of field. High-end commercial photography quality. BACKGROUND: Clean warm-neutral studio background. Minimal distractions. The character must be clearly separated from the background. IDENTITY CONSISTENCY: This exact woman will be used as the main character in: irene galbraith Character CurlyQ2 Cooking Action @IMG6 Dining Scene and the final 30-second video. Her face and identity must remain identical across all references and video scenes. IMPORTANT NEGATIVE RULES: No face redesign. No different woman. No face morphing. No age change. No hairstyle change. No masculine features. No exaggerated makeup. No unrealistic body proportions. No cartoon. No anime. No CGI-looking skin. No text. No logo. No watermark. Premium photorealistic cinematic character reference sheet.

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19,972 просмотров • 29 дней назад

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Made this cinematic sequence using Seedance 2.5 The realism, camera movements, water physics, explosions, and intense atmosphere are on another level. AI video generation is getting seriously cinematic. Prompt ⤵️ Create a 30-second ultra-realistic cinematic disaster sequence with a dark, intense, Hollywood-blockbuster atmosphere. Main character: A young woman with short, messy dark hair, wearing a soaked white T-shirt and light-colored shorts. Keep her appearance consistent throughout the entire video. Her face should remain realistic and expressive, showing fear, shock, exhaustion, and determination. Scene 1 — 0–5 seconds: Open with an extreme close-up of the woman running toward the camera through a dark industrial shipping yard at night. Heavy rain is falling, her hair and clothes are completely wet, and she is breathing heavily. Behind her, bright industrial lights glow through thick smoke and mist. The camera moves backward smoothly while maintaining focus on her face. Add realistic rain droplets on the camera lens, dramatic backlighting, atmospheric fog, and handheld cinematic movement. Scene 2 — 5–10 seconds: Cut to a wider shot as she runs through the flooded container yard. Large shipping containers surround her, emergency lights flash in the distance, and explosions/fire erupt behind her. She looks over her shoulder in panic while continuing to run. Water splashes dramatically around her legs with every step. Use realistic fire, smoke, debris, rain, and volumetric lighting. Scene 3 — 10–15 seconds: She suddenly loses her balance and falls into the flooded ground. Show the impact in slow motion for a moment, with water splashing around her. She quickly pushes herself back up while terrified people run in the background. A massive wave of smoke, debris, and water moves through the shipping yard behind them. Use a low-angle camera close to the ground for a powerful disaster-movie perspective. Scene 4 — 15–21 seconds: She gets back on her feet and starts sprinting toward safety. The camera tracks alongside her at high speed. Containers shake, debris flies through the air, vehicles and objects are pushed around by the powerful force behind her. Keep her face and body consistent. Alternate between close-ups of her frightened expression and wide shots showing the enormous scale of destruction. Scene 5 — 21–25 seconds: She reaches a large modern building filled with terrified people. The camera follows her inside as everyone rushes toward safety. People are falling, crawling, and helping each other while water and debris can be seen outside through the entrance. The lighting changes from cold blue-gray exterior lighting to dramatic warm interior lighting. Scene 6 — 25–30 seconds: Suddenly transition to a massive luxury yacht in the middle of a violent ocean. Huge dark waves surround the vessel under a stormy sky. The camera starts behind the yacht and slowly reveals an enormous shark-like sea creature emerging from the ocean directly behind it, creating a terrifying final reveal. The creature rises through the waves with water cascading from its body. End with a gigantic wave crashing toward the yacht. Visual style: photorealistic Hollywood disaster film, cinematic color grading, realistic skin texture, physically accurate water and rain, volumetric fog, dramatic practical lighting, realistic fire and smoke, detailed environments, natural motion blur, shallow depth of field, dynamic camera movement, high contrast, atmospheric storm clouds, extremely detailed CGI, 4K cinematic quality. Camera: mixture of handheld close-ups, smooth tracking shots, wide establishing shots, low-angle disaster shots, slow-motion impact moments, and dramatic aerial/wide shots. Sound design: heavy rainfall, thunder, distant explosions, sirens, screaming crowds, footsteps splashing through water, crashing metal, deep cinematic bass, roaring waves, and an intense rising orchestral score that builds toward the final creature reveal.

Noor 🌸

23,635 просмотров • 1 месяц назад

If AI can create THIS… Hollywood is definitely cooked. 💀 Berlin street filmed on an HD camera in 1989. Made with seedance 2.5 Prompt: Create a 30-second, 16:9, 1080p ultra-photorealistic archival video of everyday Berlin street life in 1989. The entire video must look like genuine footage recorded in 1989 with an unusually good professional video camera. It should feel like a real archival recording that has been digitized in HD, not a modern recreation, not a movie, and not an AI-generated vintage filter. **MAIN FOCUS:** The video is primarily about ordinary daily life on the streets of West Berlin in 1989. Crowded sidewalks, people walking in different directions, period-correct taxis (Mercedes W123s), Trabants and Wartburgs passing through traffic, buses, storefronts, street vendors, newspaper kiosks, and the constant movement of the city. The camera should feel like someone documenting the everyday routine of Berlin, not showcasing its architecture or politics. **SCENE SEQUENCE:** - **0–5s:** Street-level view from a busy West Berlin sidewalk (e.g. near Kurfürstendamm). A crowd of pedestrians walks past the camera in both directions. Mercedes taxis, Trabants, and older European cars move through the street. Natural handheld camera movement. - **5–10s:** A crowded avenue intersection. People wait at the crosswalk, then begin crossing. Buses, taxis, and traffic move through the frame. The camera slowly pans with the street activity. - **10–15s:** A closer street-level view of everyday pedestrians, storefronts with German signage, newspaper kiosks, and passing cars. People carry shopping bags, talk to each other, and go about their normal routines. Natural, unscripted-looking movement. - **15–20s:** A slightly wider street view showing a busy Berlin avenue filled with pedestrians and traffic. Buildings are visible only as part of the background. A section of the Berlin Wall or period signage may appear naturally in the distance, but the street activity remains the focus. - **20–25s:** Another crowded sidewalk and intersection. Trabants, taxis, buses, pedestrians, and storefronts create a constantly moving urban scene. The camera gently follows the flow of people. - **25–30s:** Final street-level view of a busy avenue, with pedestrians crossing, cars passing, and traffic continuing naturally. End like a real archival recording, without a dramatic cinematic conclusion. **CAMERA & CINEMATOGRAPHY:** Real 1989 professional video-camera footage. Mostly street-level, eye-level, and slightly elevated sidewalk viewpoints. Natural handheld and vehicle-mounted camera movement, slow pans, gentle zooms, slight camera vibration, occasional imperfect framing, and realistic motion blur. The camera should feel operated by a real person filming the city, with small imperfections and natural timing. No modern drone footage, no gimbal-smooth movement, no impossible camera angles, and no dramatic cinematic camera moves. **IMAGE QUALITY:** Surprisingly sharp and detailed for 1989, with clear pedestrians, cars, storefronts, and street details. Slightly soft image edges, natural lens rendering, mild analog video noise, subtle highlight bloom, gentle chromatic aberration, and a very subtle late-1980s video texture. The footage should look like an unusually good archival camera recording, not degraded VHS. **COLOR & LIGHTING:** Overcast or soft natural daylight typical of Berlin, realistic diffuse sunlight, slightly muted highlights, natural shadows, and authentic 1989 color reproduction. Colors should be realistic and slightly desaturated compared with modern digital footage, but still natural. No modern cinematic teal-and-orange grading, no excessive contrast, no fake film look, and no heavy retro effects. **HISTORICAL AUTHENTICITY:** Everything must look correct for West Berlin in 1989: period-correct Mercedes taxis, Trabants, Wartburgs, buses, storefronts, German-language advertisements and signage, period clothing, and architecture of the era. No modern vehicles, smartphones, LED billboards, contemporary advertisements, or post-reunification skyline elements. **REALISM:** Natural traffic movement, believable pedestrians, realistic reflections, accurate building geometry, and physically correct lighting. People should move naturally and independently, with varied walking speeds, gestures, and directions. Cars must have realistic proportions, wheels, reflections, and motion, including the distinct boxy shape and two-stroke-engine character of Trabants. Buildings must remain stable and geometrically accurate. **EDITING:** Use several connected street-level shots with natural archival-video pacing. Most shots should be crowded sidewalks, intersections, and busy avenues. Keep building, Wall, and skyline shots to a minimum. Buildings should mainly appear as background elements behind the people and traffic. Use simple cuts between shots, like genuine archival footage from one recording session. No flashy editing, no music-video style, no artificial cinematic transitions, and no text or subtitles. **FINAL RESULT:** The viewer should genuinely feel that they are watching real Berlin footage filmed in 1989 with an unusually good HD camera. It should feel like an ordinary day in the city, full of people, cars, traffic, and natural street activity. The realism of the pedestrians, cars, lighting, and camera behavior is more important than cinematic beauty. **NEGATIVE PROMPT:** AI-generated appearance, CGI, modern Berlin, post-reunification skyline, modern cars, smartphones, LED screens, contemporary clothing, non-period signage, fake vintage filter, excessive film grain, VHS scanlines, heavy VHS distortion, oversaturated colors, teal-orange grading, cinematic movie look, drone footage, gimbal smoothness, impossible camera movement, empty streets, deserted sidewalks, excessive building shots, architectural showcase, warped buildings, duplicated pedestrians, distorted cars, flickering architecture, text, subtitles, logos, watermarks.
0:30

If AI can create THIS… Hollywood is definitely cooked. 💀 Berlin street filmed on an HD camera in 1989. Made with seedance 2.5 Prompt: Create a 30-second, 16:9, 1080p ultra-photorealistic archival video of everyday Berlin street life in 1989. The entire video must look like genuine footage recorded in 1989 with an unusually good professional video camera. It should feel like a real archival recording that has been digitized in HD, not a modern recreation, not a movie, and not an AI-generated vintage filter. **MAIN FOCUS:** The video is primarily about ordinary daily life on the streets of West Berlin in 1989. Crowded sidewalks, people walking in different directions, period-correct taxis (Mercedes W123s), Trabants and Wartburgs passing through traffic, buses, storefronts, street vendors, newspaper kiosks, and the constant movement of the city. The camera should feel like someone documenting the everyday routine of Berlin, not showcasing its architecture or politics. **SCENE SEQUENCE:** - **0–5s:** Street-level view from a busy West Berlin sidewalk (e.g. near Kurfürstendamm). A crowd of pedestrians walks past the camera in both directions. Mercedes taxis, Trabants, and older European cars move through the street. Natural handheld camera movement. - **5–10s:** A crowded avenue intersection. People wait at the crosswalk, then begin crossing. Buses, taxis, and traffic move through the frame. The camera slowly pans with the street activity. - **10–15s:** A closer street-level view of everyday pedestrians, storefronts with German signage, newspaper kiosks, and passing cars. People carry shopping bags, talk to each other, and go about their normal routines. Natural, unscripted-looking movement. - **15–20s:** A slightly wider street view showing a busy Berlin avenue filled with pedestrians and traffic. Buildings are visible only as part of the background. A section of the Berlin Wall or period signage may appear naturally in the distance, but the street activity remains the focus. - **20–25s:** Another crowded sidewalk and intersection. Trabants, taxis, buses, pedestrians, and storefronts create a constantly moving urban scene. The camera gently follows the flow of people. - **25–30s:** Final street-level view of a busy avenue, with pedestrians crossing, cars passing, and traffic continuing naturally. End like a real archival recording, without a dramatic cinematic conclusion. **CAMERA & CINEMATOGRAPHY:** Real 1989 professional video-camera footage. Mostly street-level, eye-level, and slightly elevated sidewalk viewpoints. Natural handheld and vehicle-mounted camera movement, slow pans, gentle zooms, slight camera vibration, occasional imperfect framing, and realistic motion blur. The camera should feel operated by a real person filming the city, with small imperfections and natural timing. No modern drone footage, no gimbal-smooth movement, no impossible camera angles, and no dramatic cinematic camera moves. **IMAGE QUALITY:** Surprisingly sharp and detailed for 1989, with clear pedestrians, cars, storefronts, and street details. Slightly soft image edges, natural lens rendering, mild analog video noise, subtle highlight bloom, gentle chromatic aberration, and a very subtle late-1980s video texture. The footage should look like an unusually good archival camera recording, not degraded VHS. **COLOR & LIGHTING:** Overcast or soft natural daylight typical of Berlin, realistic diffuse sunlight, slightly muted highlights, natural shadows, and authentic 1989 color reproduction. Colors should be realistic and slightly desaturated compared with modern digital footage, but still natural. No modern cinematic teal-and-orange grading, no excessive contrast, no fake film look, and no heavy retro effects. **HISTORICAL AUTHENTICITY:** Everything must look correct for West Berlin in 1989: period-correct Mercedes taxis, Trabants, Wartburgs, buses, storefronts, German-language advertisements and signage, period clothing, and architecture of the era. No modern vehicles, smartphones, LED billboards, contemporary advertisements, or post-reunification skyline elements. **REALISM:** Natural traffic movement, believable pedestrians, realistic reflections, accurate building geometry, and physically correct lighting. People should move naturally and independently, with varied walking speeds, gestures, and directions. Cars must have realistic proportions, wheels, reflections, and motion, including the distinct boxy shape and two-stroke-engine character of Trabants. Buildings must remain stable and geometrically accurate. **EDITING:** Use several connected street-level shots with natural archival-video pacing. Most shots should be crowded sidewalks, intersections, and busy avenues. Keep building, Wall, and skyline shots to a minimum. Buildings should mainly appear as background elements behind the people and traffic. Use simple cuts between shots, like genuine archival footage from one recording session. No flashy editing, no music-video style, no artificial cinematic transitions, and no text or subtitles. **FINAL RESULT:** The viewer should genuinely feel that they are watching real Berlin footage filmed in 1989 with an unusually good HD camera. It should feel like an ordinary day in the city, full of people, cars, traffic, and natural street activity. The realism of the pedestrians, cars, lighting, and camera behavior is more important than cinematic beauty. **NEGATIVE PROMPT:** AI-generated appearance, CGI, modern Berlin, post-reunification skyline, modern cars, smartphones, LED screens, contemporary clothing, non-period signage, fake vintage filter, excessive film grain, VHS scanlines, heavy VHS distortion, oversaturated colors, teal-orange grading, cinematic movie look, drone footage, gimbal smoothness, impossible camera movement, empty streets, deserted sidewalks, excessive building shots, architectural showcase, warped buildings, duplicated pedestrians, distorted cars, flickering architecture, text, subtitles, logos, watermarks.

Oogie

21,961 просмотров • 12 дней назад

Product video created using Director on OpenArt Seedance and GPT prompt: Prompt: Use the uploaded reference image as the exact character reference. Preserve her facial identity, hairstyle, eye color, makeup, skin tone, body proportions, facial proportions, and overall appearance consistently throughout the entire video. Maintain the same natural beauty look while changing her outfit to a fitted white athletic crop top, high-waisted black leggings, white premium sneakers, and a sleek black smartwatch. Keep realistic hand anatomy, natural expressions, and consistent character identity in every shot. Create a 25-second premium wireless earbuds commercial set in a futuristic modern lifestyle environment with clean architecture, warm natural lighting, premium interiors, and cinematic product cinematography. The earbuds are the hero product while the woman naturally interacts with them throughout the film. Ultra-realistic luxury technology advertisement, commercial-grade production, photorealistic 4K HDR. The video opens with the woman confidently walking through a bright modern atrium while holding the closed wireless earbuds charging case beside her face. She smiles naturally toward the camera before flipping the case open to reveal the earbuds resting inside. Macro cinematic shots showcase the charging case from multiple angles. The glossy finish, precision hinge, metallic accents, LED charging indicator, and premium craftsmanship are highlighted as soft reflections glide across the surface. She gently removes both earbuds and places them into her ears. Extreme close-ups capture the precise fit, realistic skin texture, and premium finish while the camera slowly circles around her profile. As the music begins, she closes her eyes for a moment and smiles naturally. Cinematic slow-motion captures subtle hair movement as she enjoys the immersive sound experience before confidently continuing her walk through the modern space. The environment transitions into an outdoor urban plaza during golden hour. She walks confidently through tree-lined streets, cafés, and contemporary architecture while listening to music. Tracking shots follow her naturally as the earbuds remain securely in place. She pauses beside a glass building and taps one earbud to answer a phone call. Natural expressions and clean close-ups emphasize effortless touch controls, crystal-clear communication, and premium smart functionality. The camera cuts to elegant product hero shots. The earbuds float against a soft premium background while rotating slowly. Macro cinematography reveals the speaker mesh, charging contacts, sculpted curves, premium materials, and subtle reflections. She reaches a rooftop terrace overlooking the city skyline during sunset. Removing one earbud, she smiles toward the camera while holding the charging case confidently beside her face. Warm golden light beautifully illuminates her features and the product. The film concludes with a dramatic hero shot of both earbuds floating beside the charging case against a luxurious minimalist background. Soft cinematic lighting, elegant reflections, and slow camera movement highlight the premium craftsmanship before fading to black. Style: Premium luxury technology commercial, cinematic product cinematography, elegant handheld and gimbal camera movement, shallow depth of field, macro product shots, realistic reflections, luxury lighting, photorealistic skin textures, natural body movement, premium commercial color grading, ultra-detailed, realistic physics, 4K HDR, 25fps. Negative Prompt: No text, no subtitles, no logos, no watermarks, no duplicate people, no distorted hands, no deformed anatomy, no extra fingers, no AI artifacts, no cartoon style, no oversaturated colors, no flickering, no low resolution. #director #openart
0:25

Product video created using Director on OpenArt Seedance and GPT prompt: Prompt: Use the uploaded reference image as the exact character reference. Preserve her facial identity, hairstyle, eye color, makeup, skin tone, body proportions, facial proportions, and overall appearance consistently throughout the entire video. Maintain the same natural beauty look while changing her outfit to a fitted white athletic crop top, high-waisted black leggings, white premium sneakers, and a sleek black smartwatch. Keep realistic hand anatomy, natural expressions, and consistent character identity in every shot. Create a 25-second premium wireless earbuds commercial set in a futuristic modern lifestyle environment with clean architecture, warm natural lighting, premium interiors, and cinematic product cinematography. The earbuds are the hero product while the woman naturally interacts with them throughout the film. Ultra-realistic luxury technology advertisement, commercial-grade production, photorealistic 4K HDR. The video opens with the woman confidently walking through a bright modern atrium while holding the closed wireless earbuds charging case beside her face. She smiles naturally toward the camera before flipping the case open to reveal the earbuds resting inside. Macro cinematic shots showcase the charging case from multiple angles. The glossy finish, precision hinge, metallic accents, LED charging indicator, and premium craftsmanship are highlighted as soft reflections glide across the surface. She gently removes both earbuds and places them into her ears. Extreme close-ups capture the precise fit, realistic skin texture, and premium finish while the camera slowly circles around her profile. As the music begins, she closes her eyes for a moment and smiles naturally. Cinematic slow-motion captures subtle hair movement as she enjoys the immersive sound experience before confidently continuing her walk through the modern space. The environment transitions into an outdoor urban plaza during golden hour. She walks confidently through tree-lined streets, cafés, and contemporary architecture while listening to music. Tracking shots follow her naturally as the earbuds remain securely in place. She pauses beside a glass building and taps one earbud to answer a phone call. Natural expressions and clean close-ups emphasize effortless touch controls, crystal-clear communication, and premium smart functionality. The camera cuts to elegant product hero shots. The earbuds float against a soft premium background while rotating slowly. Macro cinematography reveals the speaker mesh, charging contacts, sculpted curves, premium materials, and subtle reflections. She reaches a rooftop terrace overlooking the city skyline during sunset. Removing one earbud, she smiles toward the camera while holding the charging case confidently beside her face. Warm golden light beautifully illuminates her features and the product. The film concludes with a dramatic hero shot of both earbuds floating beside the charging case against a luxurious minimalist background. Soft cinematic lighting, elegant reflections, and slow camera movement highlight the premium craftsmanship before fading to black. Style: Premium luxury technology commercial, cinematic product cinematography, elegant handheld and gimbal camera movement, shallow depth of field, macro product shots, realistic reflections, luxury lighting, photorealistic skin textures, natural body movement, premium commercial color grading, ultra-detailed, realistic physics, 4K HDR, 25fps. Negative Prompt: No text, no subtitles, no logos, no watermarks, no duplicate people, no distorted hands, no deformed anatomy, no extra fingers, no AI artifacts, no cartoon style, no oversaturated colors, no flickering, no low resolution. #director #openart

Smiling Khan

23,527 просмотров • 1 месяц назад

Let this chocolate brown Countach heal your algorithm! This commercial started as nothing more than an idea. I wanted to create something that felt timeless a chocolate brown Lamborghini Countach, an old-money atmosphere, a powerful woman, a luxury mansion party, natural daylight, authentic human interactions, and a commercial so realistic it wouldn't feel AI-generated at all. So I sat down with ChatGPT and explained the vision in detail. First, we built the story. I described the world, the mood, the characters, the setting, and the feeling I wanted viewers to experience. From there, ChatGPT helped transform that vision into a complete narrative, turning scattered ideas into a cinematic concept. Next came the planning stage. The story was broken down into a professional commercial timeline, scene by scene, shot by shot, exactly how a luxury automotive campaign would be storyboarded by a creative director and videographer. Then we went even deeper. Every scene was translated into detailed prompts, camera directions, movement instructions, lighting setups, slow-motion sequences, environmental details, character positioning, and luxury automotive close-ups. Once the sequence felt perfect, those ideas were converted into structured JSON prompts to maintain consistency throughout the project. After that, I generated individual storyboard images for every scene. Each image became a visual reference frame representing a specific moment of the commercial the mansion, the audience, the old-money styling, the Countach hero shots, the interior reveals, the scissor doors, and the final cinematic departure. Those reference images were then brought into Yapper where I used Seedance 2.0 to generate the actual video sequences. Multiple generations. Multiple revisions. Multiple refinements. Frame by frame, the vision started becoming reality. Finally, I edited both video sequences together, refined the pacing, synchronized the transitions, selected the music, and shaped everything into one seamless luxury automotive commercial. What you're watching isn't just an AI video. It's the result of storytelling, creative direction, prompt engineering, shot planning, storyboard creation, image generation, video generation, editing, and countless creative decisions. A chocolate brown Lamborghini Countach. An old-money lifestyle. A cinematic luxury fantasy brought to life from a single idea. Built through imagination. Designed through collaboration. Created frame by frame.
0:31

Let this chocolate brown Countach heal your algorithm! This commercial started as nothing more than an idea. I wanted to create something that felt timeless a chocolate brown Lamborghini Countach, an old-money atmosphere, a powerful woman, a luxury mansion party, natural daylight, authentic human interactions, and a commercial so realistic it wouldn't feel AI-generated at all. So I sat down with ChatGPT and explained the vision in detail. First, we built the story. I described the world, the mood, the characters, the setting, and the feeling I wanted viewers to experience. From there, ChatGPT helped transform that vision into a complete narrative, turning scattered ideas into a cinematic concept. Next came the planning stage. The story was broken down into a professional commercial timeline, scene by scene, shot by shot, exactly how a luxury automotive campaign would be storyboarded by a creative director and videographer. Then we went even deeper. Every scene was translated into detailed prompts, camera directions, movement instructions, lighting setups, slow-motion sequences, environmental details, character positioning, and luxury automotive close-ups. Once the sequence felt perfect, those ideas were converted into structured JSON prompts to maintain consistency throughout the project. After that, I generated individual storyboard images for every scene. Each image became a visual reference frame representing a specific moment of the commercial the mansion, the audience, the old-money styling, the Countach hero shots, the interior reveals, the scissor doors, and the final cinematic departure. Those reference images were then brought into Yapper where I used Seedance 2.0 to generate the actual video sequences. Multiple generations. Multiple revisions. Multiple refinements. Frame by frame, the vision started becoming reality. Finally, I edited both video sequences together, refined the pacing, synchronized the transitions, selected the music, and shaped everything into one seamless luxury automotive commercial. What you're watching isn't just an AI video. It's the result of storytelling, creative direction, prompt engineering, shot planning, storyboard creation, image generation, video generation, editing, and countless creative decisions. A chocolate brown Lamborghini Countach. An old-money lifestyle. A cinematic luxury fantasy brought to life from a single idea. Built through imagination. Designed through collaboration. Created frame by frame.

Julia Clark

26,529 просмотров • 3 месяцев назад

This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.
0:05

This work makes a humanoid robot do simple parkour moves by looking with a depth camera and choosing the right move on the fly. The big deal is that it turns lots of small human moves into long, real-time robot behavior, without hand-coding every transition or retraining for each new course. A humanoid robot is usually good at steady walking, but it often fails when it has to do fast moves like jumping up, vaulting, or rolling, and then keep going to the next obstacle. The hard part is that you cannot easily collect training data for every possible obstacle shape, distance, and mistake, so robots end up learning a few moves that only work in a narrow setup. This work starts from short clips of real human parkour moves, like stepping over, vaulting, climbing, and rolling. It uses motion matching, which is basically a smart “pick the next clip that fits best right now” search, to stitch those short clips into a long, smooth plan that looks like a human doing a whole course. Then it trains a controller with reinforcement learning (RL), which means the robot learns by trial and error to copy that plan while staying balanced and not falling. After training separate expert controllers for different moves, it compresses them into 1 controller that uses only onboard depth sensing and a simple “go this fast in this direction” command. In real tests on a Unitree G1 humanoid, it can clear multiple obstacles in a row, adapt when obstacles get moved, and climb a wall up to 1.25m.

Rohan Paul

37,121 просмотров • 7 месяцев назад

AI is getting way too good at this. At this point, traditional Hollywood production might have some serious competition. A hyper-realistic look at everyday Tokyo in 1989, recreated with AI to feel like authentic archival footage. Made with Seedance 2.5. Prompt: Create a 30-second, 16:9, 1080p ultra-photorealistic archival video of everyday Tokyo street life in 1989. The entire video must look like genuine footage recorded in Tokyo in 1989 with an unusually good professional video camera. It should feel like a real archival recording that has been digitized in HD, not a modern recreation, not a movie, and not an AI-generated vintage filter. MAIN FOCUS: The video is primarily about ordinary daily life on the streets of Tokyo in 1989. Crowded sidewalks, people walking in different directions, period-correct Japanese taxis, Toyota sedans, Nissan cars, buses, bicycles, storefronts, convenience stores, vending machines, newspaper kiosks, small restaurants, and the constant movement of the city. The camera should feel like someone documenting everyday Tokyo, not showcasing its architecture or creating a cinematic scene. SCENE SEQUENCE: * 0–5s: Street-level view from a busy Tokyo sidewalk, such as Shinjuku, Shibuya, Ginza, or Ikebukuro. A crowd of pedestrians walks past the camera in both directions. Period-correct Japanese taxis and cars move through the street. People wear authentic late-1980s Japanese clothing. Natural handheld camera movement. * 5–10s: A crowded avenue intersection. Pedestrians wait at a crosswalk, then begin crossing together. Buses, taxis, compact Japanese cars, and bicycles move through the frame. The camera slowly pans with the street activity. * 10–15s: A closer street-level view of everyday pedestrians, Japanese storefronts, newspaper kiosks, vending machines, convenience stores, small restaurants, and passing cars. People carry shopping bags, talk to each other, smoke cigarettes, and go about their normal routines. Natural, unscripted-looking movement. * 15–20s: A slightly wider street view showing a busy Tokyo avenue filled with pedestrians and traffic. Dense buildings, Japanese signs, overhead utility cables, streetlights, and shopfronts appear only as background elements. A train line or elevated railway may naturally appear in the distance, but street activity remains the focus. * 20–25s: Another crowded sidewalk and intersection. Japanese taxis, buses, compact cars, bicycles, pedestrians, storefronts, and vending machines create a constantly moving urban scene. The camera gently follows the flow of people. * 25–30s: Final street-level view of a busy Tokyo avenue, with pedestrians crossing, cars passing, buses stopping, and traffic continuing naturally. End like a real archival recording, without a dramatic cinematic conclusion. CAMERA & CINEMATOGRAPHY: Real 1989 professional Japanese video-camera footage. Mostly street-level, eye-level, and slightly elevated sidewalk viewpoints. Natural handheld and vehicle-mounted camera movement, slow pans, gentle zooms, slight camera vibration, occasional imperfect framing, and realistic motion blur. The camera should feel operated by a real person filming the city, with small imperfections and natural timing. No modern drone footage, no gimbal-smooth movement, no impossible camera angles, and no dramatic cinematic camera moves. IMAGE QUALITY: Surprisingly sharp and detailed for 1989, with clear pedestrians, cars, storefronts, and street details. Slightly soft image edges, natural lens rendering, mild analog video noise, subtle highlight bloom, gentle chromatic aberration, and a very subtle late-1980s Japanese professional-video texture. The footage should look like an unusually good archival camera recording, not degraded VHS. COLOR & LIGHTING: Overcast or soft natural daylight typical of Tokyo, realistic diffuse sunlight, slightly muted highlights, natural shadows, and authentic late-1980s Japanese color reproduction. Colors should be realistic and slightly desaturated compared with modern digital footage, but still natural. No modern cinematic teal-and-orange grading, no excessive contrast, no fake film look, and no heavy retro effects. HISTORICAL AUTHENTICITY: Everything must look correct for Tokyo in 1989: period-correct Japanese taxis and automobiles, Japanese buses, bicycles, storefronts, vending machines, Japanese-language advertisements and signage, period clothing, hairstyles, street furniture, utility infrastructure, and architecture of the era. Use authentic late-1980s Japanese commercial signage and typography. No modern vehicles, smartphones, LED billboards, contemporary advertisements, modern clothing, or post-1989 redevelopment. REALISM: Natural traffic movement, believable pedestrians, realistic reflections, accurate building geometry, and physically correct lighting. People should move naturally and independently, with varied walking speeds, gestures, and directions. Cars must have realistic proportions, wheels, reflections, and motion. Japanese vehicles should have authentic 1980s proportions, license plates, body designs, and road behavior. Buildings, signs, utility poles, and railway infrastructure must remain stable and geometrically accurate. EDITING: Use several connected street-level shots with natural archival-video pacing. Most shots should be crowded sidewalks, intersections, shopping streets, and busy avenues. Keep skyline and architectural shots to a minimum. Buildings should mainly appear as background elements behind people and traffic. Use simple cuts between shots, like genuine archival footage from one recording session. No flashy editing, no music-video style, no artificial cinematic transitions, and no text or subtitles. FINAL RESULT: The viewer should genuinely feel that they are watching real Tokyo footage filmed in 1989 with an unusually good professional video camera. It should feel like an ordinary day in the city, full of people, cars, buses, bicycles, storefronts, Japanese signs, and natural street activity. The realism of the pedestrians, vehicles, lighting, signage, and camera behavior is more important than cinematic beauty. NEGATIVE PROMPT: AI-generated appearance, CGI, modern Tokyo, post-1989 Tokyo, modern cars, modern taxis, smartphones, LED screens, contemporary clothing, contemporary Japanese signage, modern advertisements, fake vintage filter, excessive film grain, VHS scanlines, heavy VHS distortion, oversaturated colors, teal-orange grading, cinematic movie look, drone footage, gimbal smoothness, impossible camera movement, empty streets, deserted sidewalks, excessive building shots, architectural showcase, futuristic Tokyo, anime aesthetic, manga aesthetic, cyberpunk, exaggerated neon, warped buildings, duplicated pedestrians, distorted faces, distorted cars, flickering architecture, incorrect Japanese text, garbled signage, text, subtitles, logos, watermarks.
0:30

AI is getting way too good at this. At this point, traditional Hollywood production might have some serious competition. A hyper-realistic look at everyday Tokyo in 1989, recreated with AI to feel like authentic archival footage. Made with Seedance 2.5. Prompt: Create a 30-second, 16:9, 1080p ultra-photorealistic archival video of everyday Tokyo street life in 1989. The entire video must look like genuine footage recorded in Tokyo in 1989 with an unusually good professional video camera. It should feel like a real archival recording that has been digitized in HD, not a modern recreation, not a movie, and not an AI-generated vintage filter. MAIN FOCUS: The video is primarily about ordinary daily life on the streets of Tokyo in 1989. Crowded sidewalks, people walking in different directions, period-correct Japanese taxis, Toyota sedans, Nissan cars, buses, bicycles, storefronts, convenience stores, vending machines, newspaper kiosks, small restaurants, and the constant movement of the city. The camera should feel like someone documenting everyday Tokyo, not showcasing its architecture or creating a cinematic scene. SCENE SEQUENCE: * 0–5s: Street-level view from a busy Tokyo sidewalk, such as Shinjuku, Shibuya, Ginza, or Ikebukuro. A crowd of pedestrians walks past the camera in both directions. Period-correct Japanese taxis and cars move through the street. People wear authentic late-1980s Japanese clothing. Natural handheld camera movement. * 5–10s: A crowded avenue intersection. Pedestrians wait at a crosswalk, then begin crossing together. Buses, taxis, compact Japanese cars, and bicycles move through the frame. The camera slowly pans with the street activity. * 10–15s: A closer street-level view of everyday pedestrians, Japanese storefronts, newspaper kiosks, vending machines, convenience stores, small restaurants, and passing cars. People carry shopping bags, talk to each other, smoke cigarettes, and go about their normal routines. Natural, unscripted-looking movement. * 15–20s: A slightly wider street view showing a busy Tokyo avenue filled with pedestrians and traffic. Dense buildings, Japanese signs, overhead utility cables, streetlights, and shopfronts appear only as background elements. A train line or elevated railway may naturally appear in the distance, but street activity remains the focus. * 20–25s: Another crowded sidewalk and intersection. Japanese taxis, buses, compact cars, bicycles, pedestrians, storefronts, and vending machines create a constantly moving urban scene. The camera gently follows the flow of people. * 25–30s: Final street-level view of a busy Tokyo avenue, with pedestrians crossing, cars passing, buses stopping, and traffic continuing naturally. End like a real archival recording, without a dramatic cinematic conclusion. CAMERA & CINEMATOGRAPHY: Real 1989 professional Japanese video-camera footage. Mostly street-level, eye-level, and slightly elevated sidewalk viewpoints. Natural handheld and vehicle-mounted camera movement, slow pans, gentle zooms, slight camera vibration, occasional imperfect framing, and realistic motion blur. The camera should feel operated by a real person filming the city, with small imperfections and natural timing. No modern drone footage, no gimbal-smooth movement, no impossible camera angles, and no dramatic cinematic camera moves. IMAGE QUALITY: Surprisingly sharp and detailed for 1989, with clear pedestrians, cars, storefronts, and street details. Slightly soft image edges, natural lens rendering, mild analog video noise, subtle highlight bloom, gentle chromatic aberration, and a very subtle late-1980s Japanese professional-video texture. The footage should look like an unusually good archival camera recording, not degraded VHS. COLOR & LIGHTING: Overcast or soft natural daylight typical of Tokyo, realistic diffuse sunlight, slightly muted highlights, natural shadows, and authentic late-1980s Japanese color reproduction. Colors should be realistic and slightly desaturated compared with modern digital footage, but still natural. No modern cinematic teal-and-orange grading, no excessive contrast, no fake film look, and no heavy retro effects. HISTORICAL AUTHENTICITY: Everything must look correct for Tokyo in 1989: period-correct Japanese taxis and automobiles, Japanese buses, bicycles, storefronts, vending machines, Japanese-language advertisements and signage, period clothing, hairstyles, street furniture, utility infrastructure, and architecture of the era. Use authentic late-1980s Japanese commercial signage and typography. No modern vehicles, smartphones, LED billboards, contemporary advertisements, modern clothing, or post-1989 redevelopment. REALISM: Natural traffic movement, believable pedestrians, realistic reflections, accurate building geometry, and physically correct lighting. People should move naturally and independently, with varied walking speeds, gestures, and directions. Cars must have realistic proportions, wheels, reflections, and motion. Japanese vehicles should have authentic 1980s proportions, license plates, body designs, and road behavior. Buildings, signs, utility poles, and railway infrastructure must remain stable and geometrically accurate. EDITING: Use several connected street-level shots with natural archival-video pacing. Most shots should be crowded sidewalks, intersections, shopping streets, and busy avenues. Keep skyline and architectural shots to a minimum. Buildings should mainly appear as background elements behind people and traffic. Use simple cuts between shots, like genuine archival footage from one recording session. No flashy editing, no music-video style, no artificial cinematic transitions, and no text or subtitles. FINAL RESULT: The viewer should genuinely feel that they are watching real Tokyo footage filmed in 1989 with an unusually good professional video camera. It should feel like an ordinary day in the city, full of people, cars, buses, bicycles, storefronts, Japanese signs, and natural street activity. The realism of the pedestrians, vehicles, lighting, signage, and camera behavior is more important than cinematic beauty. NEGATIVE PROMPT: AI-generated appearance, CGI, modern Tokyo, post-1989 Tokyo, modern cars, modern taxis, smartphones, LED screens, contemporary clothing, contemporary Japanese signage, modern advertisements, fake vintage filter, excessive film grain, VHS scanlines, heavy VHS distortion, oversaturated colors, teal-orange grading, cinematic movie look, drone footage, gimbal smoothness, impossible camera movement, empty streets, deserted sidewalks, excessive building shots, architectural showcase, futuristic Tokyo, anime aesthetic, manga aesthetic, cyberpunk, exaggerated neon, warped buildings, duplicated pedestrians, distorted faces, distorted cars, flickering architecture, incorrect Japanese text, garbled signage, text, subtitles, logos, watermarks.

K

16,264 просмотров • 12 дней назад

A normal football moment turned into a futuristic legend. ⚽⚡🔥 From a dream shot to a cyber-powered goal AI brought this cinematic football universe to life. Made with GPT Image 2 + Seedance 2.0 Mini on Pollo AI Prompt: Scene 1 (0–2s) – Stadium Establishing Shot A packed football stadium at night under brilliant floodlights. The crowd roars as the camera slowly pushes toward the pitch. Flags wave, atmospheric particles float through the air, and the stadium feels massive and alive. Ultra-realistic sports broadcast quality. Scene 2 (2–4s) – Perfect Cross An original football athlete wearing a sleek futuristic white-and-neon football kit tracks a perfect aerial cross. The camera follows the ball before smoothly transitioning to the athlete's focused expression. Dramatic anticipation builds with cinematic slow motion. Scene 3 (4–7s) – The Leap The athlete explodes into an incredible bicycle volley. The camera switches between low-angle tracking shots, slow-motion close-ups, and dynamic aerial perspectives. Flying grass, dust, and motion blur enhance the realism. Scene 4 (7–10s) – Time Freeze At the exact instant before the foot touches the ball, time completely freezes. Every particle hangs motionless. The camera performs a slow cinematic orbit around the athlete while the stadium remains perfectly frozen. Scene 5 (10–13s) – Cyber Transformation Mechanical armor assembles over the athlete's body piece by piece. Blue and orange energy lines ignite, the visor activates, mechanical wings unfold, and the football transforms into a glowing plasma sphere surrounded by electricity, fire, sparks, and floating energy fragments. Scene 6 (13–15s) – Cliffhanger The transformation completes. The cyber athlete remains frozen inches away from striking the glowing plasma ball. End with a dramatic close-up, intense lens flare, floating energy particles, and a seamless cliffhanger ready for Part 2. Style: Original fictional character only. Hyper-realistic, Unreal Engine 5 quality, cyberpunk-mecha anime fusion, premium VFX, volumetric lighting, HDR, cinematic sports commercial, smooth camera movement, 1080p detail, blockbuster visuals. Negative Prompt: No real football players, no celebrity likeness, no club logos, no copyrighted jerseys, no watermarks, no text, no subtitles, no storyboard visible, no extra limbs, no deformed anatomy, no blurry frames, no flickering, no low quality, no camera shake, no glitches. Part 2 Scene 1 (15–17s) – Action Resumes Time suddenly resumes from the frozen frame. The cyber athlete unleashes a devastating bicycle volley. The instant the foot strikes the plasma football, a massive burst of blue electricity, orange fire, sparks, plasma energy, and shockwaves explodes outward. Capture the impact with ultra slow motion and dramatic close-ups. Scene 2 (17–20s) – Plasma Ball Flight The plasma football rockets toward the goal at incredible speed, leaving behind blazing fire trails, blue lightning, glowing plasma particles, and motion streaks. The camera alternates between tracking shots, side views, and behind-the-ball perspectives while the crowd becomes a cinematic blur. Scene 3 (20–22s) – Goal Impact The glowing plasma football smashes into the top corner of the goal. The net ripples violently as a gigantic energy explosion erupts. Sparks, debris, plasma waves, and holographic shockwaves spread throughout the stadium with blockbuster visual effects. Scene 4 (22–25s) – Stadium Celebration The stadium erupts with fireworks, holographic lights, smoke, confetti, waving flags, and roaring fans. Bright floodlights illuminate the entire arena while glowing energy particles drift through the air. Epic cinematic drone shots reveal the celebration. Scene 5 (25–28s) – Hero Landing The cyber athlete lands powerfully on the pitch. Mechanical wings slowly fold back into the armor while blue energy lines gradually fade. Floating sparks and glowing fragments surround the athlete as the camera circles dramatically. Scene 6 (28–30s) – Epic Finale The athlete stands in a victorious heroic pose facing the roaring stadium. The camera slowly pushes in while cinematic lens flares, volumetric lighting, drifting smoke, and holographic particles fill the scene. End on a premium blockbuster frame with an unforgettable cinematic finish. Style: Original fictional football athlete only. Do not resemble or recreate any real football player, club, team, logo, jersey, or copyrighted content. Hyper-realistic, Unreal Engine 5 quality, cyberpunk-mecha anime fusion, HDR, volumetric lighting, premium VFX, smooth cinematic camera movement, ultra-detailed 1080p, realistic physics, blockbuster sports commercial. Negative Prompt: No real football players, no celebrity likeness, no club logos, no copyrighted jerseys, no watermarks, no subtitles, no storyboard visible, no extra limbs, no deformed anatomy, no blurry frames, no flickering, no glitches, no low quality, no camera shake. #PolloAI #PolloCup
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A normal football moment turned into a futuristic legend. ⚽⚡🔥 From a dream shot to a cyber-powered goal AI brought this cinematic football universe to life. Made with GPT Image 2 + Seedance 2.0 Mini on Pollo AI Prompt: Scene 1 (0–2s) – Stadium Establishing Shot A packed football stadium at night under brilliant floodlights. The crowd roars as the camera slowly pushes toward the pitch. Flags wave, atmospheric particles float through the air, and the stadium feels massive and alive. Ultra-realistic sports broadcast quality. Scene 2 (2–4s) – Perfect Cross An original football athlete wearing a sleek futuristic white-and-neon football kit tracks a perfect aerial cross. The camera follows the ball before smoothly transitioning to the athlete's focused expression. Dramatic anticipation builds with cinematic slow motion. Scene 3 (4–7s) – The Leap The athlete explodes into an incredible bicycle volley. The camera switches between low-angle tracking shots, slow-motion close-ups, and dynamic aerial perspectives. Flying grass, dust, and motion blur enhance the realism. Scene 4 (7–10s) – Time Freeze At the exact instant before the foot touches the ball, time completely freezes. Every particle hangs motionless. The camera performs a slow cinematic orbit around the athlete while the stadium remains perfectly frozen. Scene 5 (10–13s) – Cyber Transformation Mechanical armor assembles over the athlete's body piece by piece. Blue and orange energy lines ignite, the visor activates, mechanical wings unfold, and the football transforms into a glowing plasma sphere surrounded by electricity, fire, sparks, and floating energy fragments. Scene 6 (13–15s) – Cliffhanger The transformation completes. The cyber athlete remains frozen inches away from striking the glowing plasma ball. End with a dramatic close-up, intense lens flare, floating energy particles, and a seamless cliffhanger ready for Part 2. Style: Original fictional character only. Hyper-realistic, Unreal Engine 5 quality, cyberpunk-mecha anime fusion, premium VFX, volumetric lighting, HDR, cinematic sports commercial, smooth camera movement, 1080p detail, blockbuster visuals. Negative Prompt: No real football players, no celebrity likeness, no club logos, no copyrighted jerseys, no watermarks, no text, no subtitles, no storyboard visible, no extra limbs, no deformed anatomy, no blurry frames, no flickering, no low quality, no camera shake, no glitches. Part 2 Scene 1 (15–17s) – Action Resumes Time suddenly resumes from the frozen frame. The cyber athlete unleashes a devastating bicycle volley. The instant the foot strikes the plasma football, a massive burst of blue electricity, orange fire, sparks, plasma energy, and shockwaves explodes outward. Capture the impact with ultra slow motion and dramatic close-ups. Scene 2 (17–20s) – Plasma Ball Flight The plasma football rockets toward the goal at incredible speed, leaving behind blazing fire trails, blue lightning, glowing plasma particles, and motion streaks. The camera alternates between tracking shots, side views, and behind-the-ball perspectives while the crowd becomes a cinematic blur. Scene 3 (20–22s) – Goal Impact The glowing plasma football smashes into the top corner of the goal. The net ripples violently as a gigantic energy explosion erupts. Sparks, debris, plasma waves, and holographic shockwaves spread throughout the stadium with blockbuster visual effects. Scene 4 (22–25s) – Stadium Celebration The stadium erupts with fireworks, holographic lights, smoke, confetti, waving flags, and roaring fans. Bright floodlights illuminate the entire arena while glowing energy particles drift through the air. Epic cinematic drone shots reveal the celebration. Scene 5 (25–28s) – Hero Landing The cyber athlete lands powerfully on the pitch. Mechanical wings slowly fold back into the armor while blue energy lines gradually fade. Floating sparks and glowing fragments surround the athlete as the camera circles dramatically. Scene 6 (28–30s) – Epic Finale The athlete stands in a victorious heroic pose facing the roaring stadium. The camera slowly pushes in while cinematic lens flares, volumetric lighting, drifting smoke, and holographic particles fill the scene. End on a premium blockbuster frame with an unforgettable cinematic finish. Style: Original fictional football athlete only. Do not resemble or recreate any real football player, club, team, logo, jersey, or copyrighted content. Hyper-realistic, Unreal Engine 5 quality, cyberpunk-mecha anime fusion, HDR, volumetric lighting, premium VFX, smooth cinematic camera movement, ultra-detailed 1080p, realistic physics, blockbuster sports commercial. Negative Prompt: No real football players, no celebrity likeness, no club logos, no copyrighted jerseys, no watermarks, no subtitles, no storyboard visible, no extra limbs, no deformed anatomy, no blurry frames, no flickering, no glitches, no low quality, no camera shake. #PolloAI #PolloCup

Stonic AI

30,576 просмотров • 2 месяцев назад

📖 MOST PEOPLE ARE USING SEEDANCE 2.0 JSON WRONGLY AND HERE'S WHY One small JSON change can improve every video you generate Most users write a prompt, generate a video, dislike the result, and start over. The best creators don’t work that way. They use JSON to give Seedance 2.0 a structured set of instructions that defines exactly what should happen in the video. Instead of a single block of text, JSON breaks everything into components: • Character description • Environment • Camera movement • Actions • Timing • Visual style • Scene transitions This makes outputs far more consistent and predictable. Why JSON is powerful: • Better character consistency across scenes • More control over camera movement • Easier to edit individual elements • Reusable templates for future projects • Faster workflow when creating multiple videos • Less randomness and fewer failed generations A simple workflow: 1.Define the goal of the video. 2.Create the main character description. 3.Describe the environment and visual style. 4.Add actions and camera movements. 5.Organize everything into a JSON structure. Example: Character - AI fitness coach Environment - modern gym Action - walking toward camera Camera - slow cinematic push-in Style - realistic, commercial quality Instead of rewriting the entire prompt every time, you can simply modify individual JSON fields and keep the rest unchanged. That’s why advanced Seedance 2.0 users are moving from prompting to system design. The future of AI video isn’t writing better prompts. It’s building reusable production pipelines. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖The pinned post has the complete system. Use it or watch someone else do it first
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📖 MOST PEOPLE ARE USING SEEDANCE 2.0 JSON WRONGLY AND HERE'S WHY One small JSON change can improve every video you generate Most users write a prompt, generate a video, dislike the result, and start over. The best creators don’t work that way. They use JSON to give Seedance 2.0 a structured set of instructions that defines exactly what should happen in the video. Instead of a single block of text, JSON breaks everything into components: • Character description • Environment • Camera movement • Actions • Timing • Visual style • Scene transitions This makes outputs far more consistent and predictable. Why JSON is powerful: • Better character consistency across scenes • More control over camera movement • Easier to edit individual elements • Reusable templates for future projects • Faster workflow when creating multiple videos • Less randomness and fewer failed generations A simple workflow: 1.Define the goal of the video. 2.Create the main character description. 3.Describe the environment and visual style. 4.Add actions and camera movements. 5.Organize everything into a JSON structure. Example: Character - AI fitness coach Environment - modern gym Action - walking toward camera Camera - slow cinematic push-in Style - realistic, commercial quality Instead of rewriting the entire prompt every time, you can simply modify individual JSON fields and keep the rest unchanged. That’s why advanced Seedance 2.0 users are moving from prompting to system design. The future of AI video isn’t writing better prompts. It’s building reusable production pipelines. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖The pinned post has the complete system. Use it or watch someone else do it first

Zentrix⌚️

112,210 просмотров • 3 месяцев назад

Catch Me If You Can, A journey that never stops. Created with Seedance 2.5. Prompt: Create a 30-second, 9:16 photoreal cinematic travel-fashion film, 24fps, following the exact same woman from the supplied character reference. Preserve her face, freckles, dark hair, skin tone, body proportions and natural beauty perfectly throughout. She must look like a real person filmed on location—real skin pores, individual hair strands, natural expressions and realistic anatomy. She always wears white wired earphones. No dialogue. STORY — “CATCH ME IF YOU CAN” 0–4s — CITY HOOK Rain-wet city street, cool cinematic daylight. 24mm intimate close-up. She stands inches from camera, gives a playful knowing smile, then suddenly turns and runs. Camera immediately chases her handheld. A red city bus crosses extremely close and completely covers frame → perfect practical wipe transition. 4–8s — OLD MARKET Same running stride continues seamlessly into a beautiful atmospheric old-town market. Cream jacket, olive loose trousers. Real pedestrians, bicycles, textured stone, warm shops. She looks back laughing while running, then jumps across a puddle. Camera dives toward the splash → water fills frame. 8–12s — MOUNTAIN REVEAL Splash match-cuts into the reflective floor of a glass elevator. She enters; doors close, then immediately reopen onto a breathtaking enormous mountain valley above clouds. She smiles back at camera and runs outside. Cool mist, huge atmospheric depth, realistic wind. 12–16s — COAST Match her exact running stride onto a spectacular golden-hour coastal road. Deep-red track jacket, denim, ocean and cliffside architecture behind. Camera tracks beside her. She spins naturally, laughs, removes her red jacket while moving and throws it directly into lens → red fabric completely covers frame. 16–20s — NEON NIGHT Fabric clears into a rain-soaked neon city at night. Black leather jacket. Deep cinematic blacks, cyan reflections, controlled red practical lights, steam and natural crowds. She confidently walks toward camera. A passing tram completely blocks frame → occlusion transition. 20–23s — ABOVE THE CLOUDS Tram windows match-cut into a mountain cable-car window. Navy jacket. She stands against the glass overlooking gigantic mist-covered peaks. Music briefly becomes quiet. Her reflection overlays the landscape. She notices camera in the reflection, smiles mischievously, then suddenly exits frame. Camera whip-pans after her. 23–26s — WE LOSE HER Whip resolves into a huge lively blue-hour plaza. Camera urgently searches through real moving crowds. She appears for a moment, disappears behind pedestrians, then vanishes completely. Music drops almost to silence. Suddenly someone taps the camera from behind. Fast whip around—she is standing behind us with her female friend, both laughing. Beat drops hard and they run away together. 26–30s — HERO ENDING Camera chases both girls across the spectacular plaza. They hold hands, run, spin and laugh naturally. A flock of pigeons lifts ahead of them. Camera catches up as they turn back and throw their arms up. At 27.8s introduce huge premium warm-ivory condensed typography: CATCH ME then: IF YOU CAN. Characters naturally overlap parts of the letters for realistic depth. No glow, gradients or cheap animation—clean theatrical movie-title design. Lead runs directly toward camera, laughing, then covers the lens with her hand. Hard cut to black exactly on the final beat. CINEMATIC LOOK Feature-film-level cinematography: 24mm chase shots, 35mm movement, 50mm portraits, natural handheld micro-movement, 180° shutter and realistic motion blur. Fine 35mm film grain, subtle highlight halation, soft cinematic bloom and expensive highlight roll-off. Color progression: cool rainy city → warm earthy market → cyan misty mountains → golden coast → deep cyan/red neon → cool mountain atmosphere → rich cinematic blue-hour finale. Keep natural warm skin throughout. TRANSITION RULE Every transition must be physically motivated: bus wipe → water splash → elevator doors → jacket wipe → tram wipe → reflection/whip → crowd reveal → hand-to-lens ending. Never visibly morph locations. No portals, liquid AI transformations, speed ramps, floating cameras or impossible movements. Cuts should be so clean viewers replay them to understand how they happened. REALISM LOCK Same exact lead identity throughout. Real skin texture, correct hands, natural running, realistic footsteps, weighted hair and clothing, earphone cable bouncing with movement, physically correct reflections and splashes. Background people move independently and never freeze or duplicate. No warped architecture, plastic skin, beauty-filter face or AI look. MUSIC / SOUND Original 120 BPM premium cinematic-electronic travel track synchronized tightly to every transition. Start with minimal bass and crisp percussion, build through the chase, open into an uplifting melodic hook at the coast, become deeper at neon night, strip down during the cable-car/crowd search, then massive satisfying beat drop at the friend reveal and strongest musical section for the final run. Layer realistic footsteps, traffic, splash, elevator ding, wind, tram rumble, cable-car hum, crowd ambience, fabric movement, pigeon wings and genuine laughter. No dialogue. No voiceover. No lyrics.
0:30

Catch Me If You Can, A journey that never stops. Created with Seedance 2.5. Prompt: Create a 30-second, 9:16 photoreal cinematic travel-fashion film, 24fps, following the exact same woman from the supplied character reference. Preserve her face, freckles, dark hair, skin tone, body proportions and natural beauty perfectly throughout. She must look like a real person filmed on location—real skin pores, individual hair strands, natural expressions and realistic anatomy. She always wears white wired earphones. No dialogue. STORY — “CATCH ME IF YOU CAN” 0–4s — CITY HOOK Rain-wet city street, cool cinematic daylight. 24mm intimate close-up. She stands inches from camera, gives a playful knowing smile, then suddenly turns and runs. Camera immediately chases her handheld. A red city bus crosses extremely close and completely covers frame → perfect practical wipe transition. 4–8s — OLD MARKET Same running stride continues seamlessly into a beautiful atmospheric old-town market. Cream jacket, olive loose trousers. Real pedestrians, bicycles, textured stone, warm shops. She looks back laughing while running, then jumps across a puddle. Camera dives toward the splash → water fills frame. 8–12s — MOUNTAIN REVEAL Splash match-cuts into the reflective floor of a glass elevator. She enters; doors close, then immediately reopen onto a breathtaking enormous mountain valley above clouds. She smiles back at camera and runs outside. Cool mist, huge atmospheric depth, realistic wind. 12–16s — COAST Match her exact running stride onto a spectacular golden-hour coastal road. Deep-red track jacket, denim, ocean and cliffside architecture behind. Camera tracks beside her. She spins naturally, laughs, removes her red jacket while moving and throws it directly into lens → red fabric completely covers frame. 16–20s — NEON NIGHT Fabric clears into a rain-soaked neon city at night. Black leather jacket. Deep cinematic blacks, cyan reflections, controlled red practical lights, steam and natural crowds. She confidently walks toward camera. A passing tram completely blocks frame → occlusion transition. 20–23s — ABOVE THE CLOUDS Tram windows match-cut into a mountain cable-car window. Navy jacket. She stands against the glass overlooking gigantic mist-covered peaks. Music briefly becomes quiet. Her reflection overlays the landscape. She notices camera in the reflection, smiles mischievously, then suddenly exits frame. Camera whip-pans after her. 23–26s — WE LOSE HER Whip resolves into a huge lively blue-hour plaza. Camera urgently searches through real moving crowds. She appears for a moment, disappears behind pedestrians, then vanishes completely. Music drops almost to silence. Suddenly someone taps the camera from behind. Fast whip around—she is standing behind us with her female friend, both laughing. Beat drops hard and they run away together. 26–30s — HERO ENDING Camera chases both girls across the spectacular plaza. They hold hands, run, spin and laugh naturally. A flock of pigeons lifts ahead of them. Camera catches up as they turn back and throw their arms up. At 27.8s introduce huge premium warm-ivory condensed typography: CATCH ME then: IF YOU CAN. Characters naturally overlap parts of the letters for realistic depth. No glow, gradients or cheap animation—clean theatrical movie-title design. Lead runs directly toward camera, laughing, then covers the lens with her hand. Hard cut to black exactly on the final beat. CINEMATIC LOOK Feature-film-level cinematography: 24mm chase shots, 35mm movement, 50mm portraits, natural handheld micro-movement, 180° shutter and realistic motion blur. Fine 35mm film grain, subtle highlight halation, soft cinematic bloom and expensive highlight roll-off. Color progression: cool rainy city → warm earthy market → cyan misty mountains → golden coast → deep cyan/red neon → cool mountain atmosphere → rich cinematic blue-hour finale. Keep natural warm skin throughout. TRANSITION RULE Every transition must be physically motivated: bus wipe → water splash → elevator doors → jacket wipe → tram wipe → reflection/whip → crowd reveal → hand-to-lens ending. Never visibly morph locations. No portals, liquid AI transformations, speed ramps, floating cameras or impossible movements. Cuts should be so clean viewers replay them to understand how they happened. REALISM LOCK Same exact lead identity throughout. Real skin texture, correct hands, natural running, realistic footsteps, weighted hair and clothing, earphone cable bouncing with movement, physically correct reflections and splashes. Background people move independently and never freeze or duplicate. No warped architecture, plastic skin, beauty-filter face or AI look. MUSIC / SOUND Original 120 BPM premium cinematic-electronic travel track synchronized tightly to every transition. Start with minimal bass and crisp percussion, build through the chase, open into an uplifting melodic hook at the coast, become deeper at neon night, strip down during the cable-car/crowd search, then massive satisfying beat drop at the friend reveal and strongest musical section for the final run. Layer realistic footsteps, traffic, splash, elevator ding, wind, tram rumble, cable-car hum, crowd ambience, fabric movement, pigeon wings and genuine laughter. No dialogue. No voiceover. No lyrics.

Nexora

24,180 просмотров • 18 дней назад

Seedance 2.5 on TapNow Prompt Create a 30-second, 16:9 ultra-realistic handheld lifestyle vlog following the same young Japanese woman in her 20s through an ordinary afternoon in Kyoto. Keep her face, identity, hairstyle, body, outfit, accessories, and proportions perfectly consistent in every shot. She wears a tight pastel green halter top, straight-leg light denim jeans, yellow canvas sneakers, a small tan tote bag, and thin gold hoop earrings throughout. New scenario: A quiet afternoon in Kyoto 0–5s — Leaving home She steps out of a small traditional Kyoto townhouse into a quiet residential lane. She checks the sky, adjusts the strap of her tote bag, and notices the camera. She gives a small smile and says naturally: 「今日は、ゆっくりしよう。」 She starts walking, and the camera follows a little late. 5–11s — Small flower shop She stops at a tiny neighborhood flower shop, looks at a bucket of fresh flowers, and gently touches a small yellow flower. She smiles and says: 「この色、好きだな。」 She buys one small flower, places it carefully in her tote bag, and walks outside. The camera briefly loses focus on her hands before finding her face again. 11–17s — Quiet café She enters a small local café, orders an iced tea, and sits near the window. She looks outside at the passing bicycles and old wooden buildings, then turns toward the camera and says softly: 「こういう時間、落ち着くね。」 She takes a sip, notices the camera still filming, and gives a slightly amused smile. 17–23s — Narrow walking street She leaves the café and walks through a narrow street lined with small shops. A delivery bicycle passes unexpectedly, and she steps aside with a little laugh. She looks back at the camera and says: 「あ、びっくりした。」 She continues walking, holding her tote bag naturally at her side. 23–27s — Canal-side pause She reaches a quiet canal-side path in the late afternoon. She sits on a low stone ledge, places her drink beside her, and takes the small flower out of her tote bag. She looks at it for a moment, then watches the water. The wind moves her hair naturally, and she gives a small, genuine smile. 27–30s — Walking home She stands, puts the flower back into her tote bag, and starts walking away. After a few steps, she looks back at the camera and says: 「また、ゆっくり歩こうね。」 She continues walking as the camera follows behind. Recording naturally ends around 29.5 seconds. Filming style Genuine footage filmed casually by a close friend on a smartphone or compact camera. Handheld shake, imperfect framing, autofocus hunting, exposure pumping, natural motion blur, mild digital noise, occasional late camera reactions. No gimbal, drone, cinematic choreography, slow motion, beauty filter, or commercial look. Camcorder aesthetic Authentic early-2000s MiniDV / consumer camcorder footage, as if someone found an old family tape from around 2002–2005. 4:3 home-video framing Slight handheld shake Imperfect framing Autofocus hunting Occasional exposure pumping Mild blown highlights Soft digital sharpness Interlaced-looking motion characteristics Subtle motion blur Low dynamic range Faded, slightly warm colors Realistic digital noise Tiny compression artifacts Occasional accidental micro-zoom Imperfect white balance Slight lens flare when sunlight hits the lens Natural camera operator mistakes Do not make the footage excessively degraded. It should still be clear enough to see her face and environment. Realism The most important goal is believability. Accurate human biomechanics, grounded feet, continuous objects, realistic walking, sitting, drinking, and handling of the flower. Consistent architecture and wardrobe. Hands must remain anatomically correct with five fingers. Clothes must move naturally with her body and wind.
0:30

Seedance 2.5 on TapNow Prompt Create a 30-second, 16:9 ultra-realistic handheld lifestyle vlog following the same young Japanese woman in her 20s through an ordinary afternoon in Kyoto. Keep her face, identity, hairstyle, body, outfit, accessories, and proportions perfectly consistent in every shot. She wears a tight pastel green halter top, straight-leg light denim jeans, yellow canvas sneakers, a small tan tote bag, and thin gold hoop earrings throughout. New scenario: A quiet afternoon in Kyoto 0–5s — Leaving home She steps out of a small traditional Kyoto townhouse into a quiet residential lane. She checks the sky, adjusts the strap of her tote bag, and notices the camera. She gives a small smile and says naturally: 「今日は、ゆっくりしよう。」 She starts walking, and the camera follows a little late. 5–11s — Small flower shop She stops at a tiny neighborhood flower shop, looks at a bucket of fresh flowers, and gently touches a small yellow flower. She smiles and says: 「この色、好きだな。」 She buys one small flower, places it carefully in her tote bag, and walks outside. The camera briefly loses focus on her hands before finding her face again. 11–17s — Quiet café She enters a small local café, orders an iced tea, and sits near the window. She looks outside at the passing bicycles and old wooden buildings, then turns toward the camera and says softly: 「こういう時間、落ち着くね。」 She takes a sip, notices the camera still filming, and gives a slightly amused smile. 17–23s — Narrow walking street She leaves the café and walks through a narrow street lined with small shops. A delivery bicycle passes unexpectedly, and she steps aside with a little laugh. She looks back at the camera and says: 「あ、びっくりした。」 She continues walking, holding her tote bag naturally at her side. 23–27s — Canal-side pause She reaches a quiet canal-side path in the late afternoon. She sits on a low stone ledge, places her drink beside her, and takes the small flower out of her tote bag. She looks at it for a moment, then watches the water. The wind moves her hair naturally, and she gives a small, genuine smile. 27–30s — Walking home She stands, puts the flower back into her tote bag, and starts walking away. After a few steps, she looks back at the camera and says: 「また、ゆっくり歩こうね。」 She continues walking as the camera follows behind. Recording naturally ends around 29.5 seconds. Filming style Genuine footage filmed casually by a close friend on a smartphone or compact camera. Handheld shake, imperfect framing, autofocus hunting, exposure pumping, natural motion blur, mild digital noise, occasional late camera reactions. No gimbal, drone, cinematic choreography, slow motion, beauty filter, or commercial look. Camcorder aesthetic Authentic early-2000s MiniDV / consumer camcorder footage, as if someone found an old family tape from around 2002–2005. 4:3 home-video framing Slight handheld shake Imperfect framing Autofocus hunting Occasional exposure pumping Mild blown highlights Soft digital sharpness Interlaced-looking motion characteristics Subtle motion blur Low dynamic range Faded, slightly warm colors Realistic digital noise Tiny compression artifacts Occasional accidental micro-zoom Imperfect white balance Slight lens flare when sunlight hits the lens Natural camera operator mistakes Do not make the footage excessively degraded. It should still be clear enough to see her face and environment. Realism The most important goal is believability. Accurate human biomechanics, grounded feet, continuous objects, realistic walking, sitting, drinking, and handling of the flower. Consistent architecture and wardrobe. Hands must remain anatomically correct with five fingers. Clothes must move naturally with her body and wind.

Aaliya

12,425 просмотров • 16 дней назад

Created this cinematic music video with Supercool.com Prompt: Create a 30-second ultra-realistic cinematic music video for the provided English-language song, featuring three young adult singers performing inside and around a beautiful retro American-style diner at midnight. The video should feel like a real professionally directed music video, with cinematic storytelling, realistic human performances, clear English vocals, precise lip-sync, beautiful lighting, and natural chemistry between the three singers. CHARACTERS Character 1 — Female Lead: Young adult woman, early 20s, long dark hair, wearing a stylish red jacket over a simple white top and dark jeans. Confident, emotional and charismatic. Character 2 — Male Singer: Young adult man, early 20s, short textured dark hair, wearing a black denim jacket, white T-shirt and dark jeans. Relaxed but emotionally expressive. Character 3 — Female Singer: Young adult woman, early 20s, shoulder-length dark hair, wearing a stylish cream sweater and black skirt. Warm and expressive personality. CHARACTER CONSISTENCY IS CRITICAL: Their faces, hairstyles, clothing, body proportions, age and identities must remain exactly the same in every shot. LOCATION A retro roadside diner at midnight. Large glowing neon sign outside, chrome tables, red booths, warm interior lights, rain-covered windows, wet pavement, vintage cars outside, subtle steam rising from the road and colorful reflections on the ground. The atmosphere should feel nostalgic, romantic and cinematic. STORY & SHOT BREAKDOWN 0–4 seconds — OPENING Wide shot of the diner from across the wet road. Rain has just stopped. Neon lights reflect beautifully on the pavement. The camera slowly moves toward the diner window where the three singers can be seen inside. 4–8 seconds — FEMALE LEAD Cut to Character 1 sitting inside a booth. She begins singing the first English lyric while looking directly into the camera. Slow cinematic push-in toward her face. Her lips must clearly form every English word. 8–12 seconds — MALE SINGER Character 2 sings the next line while standing outside the diner beside a vintage car. Camera slowly moves around him. City lights and the glowing diner sign create beautiful bokeh behind him. 12–16 seconds — FEMALE SINGER Character 3 sings her section while walking through the diner. She passes the booths and looks directly toward the camera. Smooth tracking shot following her movement. 16–21 seconds — TRIO The three singers meet outside the diner. They perform the chorus together under the glowing neon sign. Camera moves in a smooth circular motion around them. Natural interaction, subtle choreography and genuine chemistry. 21–26 seconds — MUSICAL BUILD Create quick cinematic cuts synchronized to the beat: Female close-up → male close-up → female close-up → trio wide shot → dramatic low-angle shot. Each singer clearly sings their assigned words. 26–30 seconds FINAL CHORUS The three characters stand together in front of the diner. They sing the final English lyric directly toward the camera. The camera slowly pulls backward across the wet road while the neon diner becomes smaller in the background. End precisely on the final beat. ENGLISH VOCAL & LIP-SYNC REQUIREMENT Use the provided English song as the exact audio track. The characters must sing the actual lyrics from the song. Do not replace lyrics. Do not generate random syllables. Do not use French or any other language. Every English word must have believable mouth articulation. Prioritize: clear pronunciation + visible articulation + accurate phoneme-level lip-sync + natural singing expressions. The audience should be able to understand the English lyrics by listening to the audio and watching the singers. PERFORMANCE Natural professional music-video performance. Realistic breathing, subtle head movement, believable eye contact, natural hand gestures and facial expressions that match the emotion of the lyrics
0:30

Created this cinematic music video with Supercool.com Prompt: Create a 30-second ultra-realistic cinematic music video for the provided English-language song, featuring three young adult singers performing inside and around a beautiful retro American-style diner at midnight. The video should feel like a real professionally directed music video, with cinematic storytelling, realistic human performances, clear English vocals, precise lip-sync, beautiful lighting, and natural chemistry between the three singers. CHARACTERS Character 1 — Female Lead: Young adult woman, early 20s, long dark hair, wearing a stylish red jacket over a simple white top and dark jeans. Confident, emotional and charismatic. Character 2 — Male Singer: Young adult man, early 20s, short textured dark hair, wearing a black denim jacket, white T-shirt and dark jeans. Relaxed but emotionally expressive. Character 3 — Female Singer: Young adult woman, early 20s, shoulder-length dark hair, wearing a stylish cream sweater and black skirt. Warm and expressive personality. CHARACTER CONSISTENCY IS CRITICAL: Their faces, hairstyles, clothing, body proportions, age and identities must remain exactly the same in every shot. LOCATION A retro roadside diner at midnight. Large glowing neon sign outside, chrome tables, red booths, warm interior lights, rain-covered windows, wet pavement, vintage cars outside, subtle steam rising from the road and colorful reflections on the ground. The atmosphere should feel nostalgic, romantic and cinematic. STORY & SHOT BREAKDOWN 0–4 seconds — OPENING Wide shot of the diner from across the wet road. Rain has just stopped. Neon lights reflect beautifully on the pavement. The camera slowly moves toward the diner window where the three singers can be seen inside. 4–8 seconds — FEMALE LEAD Cut to Character 1 sitting inside a booth. She begins singing the first English lyric while looking directly into the camera. Slow cinematic push-in toward her face. Her lips must clearly form every English word. 8–12 seconds — MALE SINGER Character 2 sings the next line while standing outside the diner beside a vintage car. Camera slowly moves around him. City lights and the glowing diner sign create beautiful bokeh behind him. 12–16 seconds — FEMALE SINGER Character 3 sings her section while walking through the diner. She passes the booths and looks directly toward the camera. Smooth tracking shot following her movement. 16–21 seconds — TRIO The three singers meet outside the diner. They perform the chorus together under the glowing neon sign. Camera moves in a smooth circular motion around them. Natural interaction, subtle choreography and genuine chemistry. 21–26 seconds — MUSICAL BUILD Create quick cinematic cuts synchronized to the beat: Female close-up → male close-up → female close-up → trio wide shot → dramatic low-angle shot. Each singer clearly sings their assigned words. 26–30 seconds FINAL CHORUS The three characters stand together in front of the diner. They sing the final English lyric directly toward the camera. The camera slowly pulls backward across the wet road while the neon diner becomes smaller in the background. End precisely on the final beat. ENGLISH VOCAL & LIP-SYNC REQUIREMENT Use the provided English song as the exact audio track. The characters must sing the actual lyrics from the song. Do not replace lyrics. Do not generate random syllables. Do not use French or any other language. Every English word must have believable mouth articulation. Prioritize: clear pronunciation + visible articulation + accurate phoneme-level lip-sync + natural singing expressions. The audience should be able to understand the English lyrics by listening to the audio and watching the singers. PERFORMANCE Natural professional music-video performance. Realistic breathing, subtle head movement, believable eye contact, natural hand gestures and facial expressions that match the emotion of the lyrics

K

20,388 просмотров • 8 дней назад

One perfect summer day in Hawaii 🌺🌊 Prompt: Create a 30-second premium cinematic tropical travel vlog following a very beautiful 20-year-old woman enjoying a dreamy summer vacation in Hawaii. The overall feeling should be luxury travel film + authentic personal vlog + nostalgic 35mm vacation diary. It should feel spontaneous and emotionally immersive rather than like generic stock travel footage. VISUAL DIRECTION 4K cinematic video, 24fps, 35mm film aesthetic, subtle organic film grain, warm nostalgic color grading, realistic skin texture, shallow depth of field, soft atmospheric lighting, natural highlights, realistic autofocus breathing, subtle motion blur, authentic handheld camera movement. Combine polished cinematic shots with imperfect handheld moments so the video feels like a real luxury vacation captured by a talented friend. Use natural camera movement, environmental sound feeling, realistic hair and clothing physics, believable crowds and atmospheric details. COLOR PALETTE Warm tropical sunlight, soft cream, sandy beige, turquoise ocean, lush greens, sunset orange, pink and lavender skies, warm amber night lighting. Keep colors rich but natural and cinematic, never oversaturated. SCENE 1 — HOTEL MORNING → TROPICAL STREET | 0–4s Start inside a beautiful luxury Hawaiian hotel room. Soft morning sunlight enters through sheer white curtains while a tropical breeze moves the fabric. Close-up of the woman reaching for her sunglasses and woven beach bag. Cut to a handheld shot from behind as she exits the hotel. She walks down a bright tropical street wearing a flowing elegant floral summer dress, sunglasses resting naturally on her face. Palm trees sway above colorful buildings and small cafes. Camera follows her from behind before smoothly moving around to a close-up. She removes her sunglasses slightly and smiles naturally toward the camera. Sunlight catches her hair as wind moves the waves around her face. Transition: a palm tree briefly fills the frame and naturally wipes into the next scene. SCENE 2 — SECRET BEACH DISCOVERY | 4–8s Reveal the ocean through a narrow tropical street. The woman notices the beach and instinctively changes direction. Camera follows her as she walks faster toward the water. She removes her sandals and carries them in one hand. Cut to an elegant low-angle shot of her feet stepping onto wet sand. A small wave reaches her ankles. She laughs softly and walks along the shoreline, lifting the edge of her dress slightly. Close-up of her face with wind blowing through her hair. Wide cinematic shot reveals: crystal turquoise ocean, volcanic mountains, bright tropical sky and expansive coastline. Use natural handheld movement mixed with cinematic slow motion. SCENE 3 — JUNGLE LIGHT → OCEAN CLIFF | 8–12s Start with a dramatic worm's-eye shot beneath towering Hawaiian palm trees. Sunlight streams through the leaves, creating subtle cinematic lens flares. Cut to her walking through lush tropical vegetation. Her hair catches the warm sunlight. Match cut from moving palm leaves to her standing beside a rugged ocean cliff. Camera begins behind her, showing the huge Pacific Ocean ahead. Slow cinematic push-in. She turns slightly toward the camera, gives a subtle peaceful smile, then looks back at the ocean. Her dress and hair move naturally in the coastal wind. SCENE 4 — SLOW MORNING CAFE | 12–16s Move into a small sophisticated beachfront cafe. She sits beside an open window overlooking the ocean. Warm sunlight falls softly across her face. Close-up details: Her fingers holding a chilled tropical drink. Condensation sliding down the glass. Sunglasses and jewelry resting naturally on the table. Ocean reflections moving across the window. She takes a slow sip and looks outside thoughtfully. Camera focuses on her reflection in the glass before gently pulling focus back to her eyes. She gives a tiny smile as if remembering something beautiful. Make this scene intimate, quiet and personal. SCENE 5 — TURQUOISE OCEAN ADVENTURE | 16–20s Cut to a more energetic sequence. She floats on a surfboard in crystal-clear turquoise water. Start with an underwater camera shot looking upward, sunlight shimmering across the surface. Camera rises above the water to reveal her smiling on the board. She paddles forward through gentle waves. Water-level tracking shot circles around her. She looks directly toward the camera and laughs naturally as a small wave passes. Her wet hair moves realistically in the breeze. Wide shot reveals tropical mountains and coastline in the background. Keep every movement natural and physically believable. SCENE 6 — HAWAII NIGHT MARKET | 20–24s Transition from bright ocean sunlight into warm evening. Use a match cut where sunlight sparkling on the water transforms into a glowing market lantern. She walks through a lively Hawaiian night market wearing an elegant lightweight evening outfit. Warm hanging lights, tropical flowers, wooden food stalls and colorful decorations surround her. Camera follows closely like a friend capturing the moment. She tries a fresh tropical fruit skewer. Close-up of her first reaction. She smiles and laughs naturally. Quick atmospheric inserts: Steam rising from food. Hands preparing tropical dishes. Warm lantern bokeh. Her face illuminated by market lights. People passing softly in the background. Keep the environment lively but realistic. SCENE 7 — THE LAST SUNSET | 24–27s Suddenly slow everything down. Wide cinematic shot of the woman standing barefoot at the shoreline. She wears a simple flowing summer dress. The sunset fills the sky with: soft orange, pink, peach and lavender tones. The colors reflect beautifully across the water and wet sand. A gentle wave moves around her feet. Camera slowly pulls backward, revealing the enormous ocean horizon. She quietly watches the final sunlight disappear. Her silhouette becomes the main visual focus. The moment should feel nostalgic, emotional and peaceful. SCENE 8 — NIGHTTIME MEMORY | 27–30s Return to the luxury hotel at night. The woman stands on a high-rise balcony wearing a simple elegant white dress. Behind her, tropical city lights sparkle across the night. Warm curtains move gently in the ocean breeze. She rests her arms on the balcony railing and looks out over the city. Her dark wavy hair is slightly looser and naturally imperfect. Soft warm bedside lighting illuminates her face. She looks directly into the camera. A small genuine smile. Camera slowly pushes toward her face. Cut to black. The final feeling should be: “One perfect summer day I never want to forget.” CAMERA LANGUAGE Use a mixture of: Handheld travel-vlog shots, POV perspectives, slow cinematic push-ins, low-angle beach shots, water-level tracking, subtle camera shake, realistic autofocus adjustments, shallow depth of field, soft focus transitions, natural motion blur, reflections, silhouettes, foreground wipes and motivated match cuts. Camera movement should feel human and intentional, never robotic. FINAL LOOK Photorealistic luxury Hawaii travel film. Dreamy but realistic. Beautiful but natural. Cinematic but authentic. Premium but personal. The woman should look consistently gorgeous and highly photogenic throughout every scene, inspired by the attached reference's overall beauty aesthetic. NEGATIVE PROMPT No cartoon style, no CGI appearance, no plastic skin, no excessive beauty filter, no uncanny face, no exaggerated facial symmetry, no distorted anatomy, no extra fingers, no deformed hands, no duplicate people, no face morphing, no changing identity, no changing eye color, no changing hairstyle, no inconsistent age, no unrealistic hair physics, no stiff expressions, no unnatural walking, no artificial movements, no oversaturated colors, no excessive lens flare, no fake-looking ocean, no generic stock footage aesthetic, no blurry face, no warped background, no flickering details, no facial inconsistencies.
0:26

One perfect summer day in Hawaii 🌺🌊 Prompt: Create a 30-second premium cinematic tropical travel vlog following a very beautiful 20-year-old woman enjoying a dreamy summer vacation in Hawaii. The overall feeling should be luxury travel film + authentic personal vlog + nostalgic 35mm vacation diary. It should feel spontaneous and emotionally immersive rather than like generic stock travel footage. VISUAL DIRECTION 4K cinematic video, 24fps, 35mm film aesthetic, subtle organic film grain, warm nostalgic color grading, realistic skin texture, shallow depth of field, soft atmospheric lighting, natural highlights, realistic autofocus breathing, subtle motion blur, authentic handheld camera movement. Combine polished cinematic shots with imperfect handheld moments so the video feels like a real luxury vacation captured by a talented friend. Use natural camera movement, environmental sound feeling, realistic hair and clothing physics, believable crowds and atmospheric details. COLOR PALETTE Warm tropical sunlight, soft cream, sandy beige, turquoise ocean, lush greens, sunset orange, pink and lavender skies, warm amber night lighting. Keep colors rich but natural and cinematic, never oversaturated. SCENE 1 — HOTEL MORNING → TROPICAL STREET | 0–4s Start inside a beautiful luxury Hawaiian hotel room. Soft morning sunlight enters through sheer white curtains while a tropical breeze moves the fabric. Close-up of the woman reaching for her sunglasses and woven beach bag. Cut to a handheld shot from behind as she exits the hotel. She walks down a bright tropical street wearing a flowing elegant floral summer dress, sunglasses resting naturally on her face. Palm trees sway above colorful buildings and small cafes. Camera follows her from behind before smoothly moving around to a close-up. She removes her sunglasses slightly and smiles naturally toward the camera. Sunlight catches her hair as wind moves the waves around her face. Transition: a palm tree briefly fills the frame and naturally wipes into the next scene. SCENE 2 — SECRET BEACH DISCOVERY | 4–8s Reveal the ocean through a narrow tropical street. The woman notices the beach and instinctively changes direction. Camera follows her as she walks faster toward the water. She removes her sandals and carries them in one hand. Cut to an elegant low-angle shot of her feet stepping onto wet sand. A small wave reaches her ankles. She laughs softly and walks along the shoreline, lifting the edge of her dress slightly. Close-up of her face with wind blowing through her hair. Wide cinematic shot reveals: crystal turquoise ocean, volcanic mountains, bright tropical sky and expansive coastline. Use natural handheld movement mixed with cinematic slow motion. SCENE 3 — JUNGLE LIGHT → OCEAN CLIFF | 8–12s Start with a dramatic worm's-eye shot beneath towering Hawaiian palm trees. Sunlight streams through the leaves, creating subtle cinematic lens flares. Cut to her walking through lush tropical vegetation. Her hair catches the warm sunlight. Match cut from moving palm leaves to her standing beside a rugged ocean cliff. Camera begins behind her, showing the huge Pacific Ocean ahead. Slow cinematic push-in. She turns slightly toward the camera, gives a subtle peaceful smile, then looks back at the ocean. Her dress and hair move naturally in the coastal wind. SCENE 4 — SLOW MORNING CAFE | 12–16s Move into a small sophisticated beachfront cafe. She sits beside an open window overlooking the ocean. Warm sunlight falls softly across her face. Close-up details: Her fingers holding a chilled tropical drink. Condensation sliding down the glass. Sunglasses and jewelry resting naturally on the table. Ocean reflections moving across the window. She takes a slow sip and looks outside thoughtfully. Camera focuses on her reflection in the glass before gently pulling focus back to her eyes. She gives a tiny smile as if remembering something beautiful. Make this scene intimate, quiet and personal. SCENE 5 — TURQUOISE OCEAN ADVENTURE | 16–20s Cut to a more energetic sequence. She floats on a surfboard in crystal-clear turquoise water. Start with an underwater camera shot looking upward, sunlight shimmering across the surface. Camera rises above the water to reveal her smiling on the board. She paddles forward through gentle waves. Water-level tracking shot circles around her. She looks directly toward the camera and laughs naturally as a small wave passes. Her wet hair moves realistically in the breeze. Wide shot reveals tropical mountains and coastline in the background. Keep every movement natural and physically believable. SCENE 6 — HAWAII NIGHT MARKET | 20–24s Transition from bright ocean sunlight into warm evening. Use a match cut where sunlight sparkling on the water transforms into a glowing market lantern. She walks through a lively Hawaiian night market wearing an elegant lightweight evening outfit. Warm hanging lights, tropical flowers, wooden food stalls and colorful decorations surround her. Camera follows closely like a friend capturing the moment. She tries a fresh tropical fruit skewer. Close-up of her first reaction. She smiles and laughs naturally. Quick atmospheric inserts: Steam rising from food. Hands preparing tropical dishes. Warm lantern bokeh. Her face illuminated by market lights. People passing softly in the background. Keep the environment lively but realistic. SCENE 7 — THE LAST SUNSET | 24–27s Suddenly slow everything down. Wide cinematic shot of the woman standing barefoot at the shoreline. She wears a simple flowing summer dress. The sunset fills the sky with: soft orange, pink, peach and lavender tones. The colors reflect beautifully across the water and wet sand. A gentle wave moves around her feet. Camera slowly pulls backward, revealing the enormous ocean horizon. She quietly watches the final sunlight disappear. Her silhouette becomes the main visual focus. The moment should feel nostalgic, emotional and peaceful. SCENE 8 — NIGHTTIME MEMORY | 27–30s Return to the luxury hotel at night. The woman stands on a high-rise balcony wearing a simple elegant white dress. Behind her, tropical city lights sparkle across the night. Warm curtains move gently in the ocean breeze. She rests her arms on the balcony railing and looks out over the city. Her dark wavy hair is slightly looser and naturally imperfect. Soft warm bedside lighting illuminates her face. She looks directly into the camera. A small genuine smile. Camera slowly pushes toward her face. Cut to black. The final feeling should be: “One perfect summer day I never want to forget.” CAMERA LANGUAGE Use a mixture of: Handheld travel-vlog shots, POV perspectives, slow cinematic push-ins, low-angle beach shots, water-level tracking, subtle camera shake, realistic autofocus adjustments, shallow depth of field, soft focus transitions, natural motion blur, reflections, silhouettes, foreground wipes and motivated match cuts. Camera movement should feel human and intentional, never robotic. FINAL LOOK Photorealistic luxury Hawaii travel film. Dreamy but realistic. Beautiful but natural. Cinematic but authentic. Premium but personal. The woman should look consistently gorgeous and highly photogenic throughout every scene, inspired by the attached reference's overall beauty aesthetic. NEGATIVE PROMPT No cartoon style, no CGI appearance, no plastic skin, no excessive beauty filter, no uncanny face, no exaggerated facial symmetry, no distorted anatomy, no extra fingers, no deformed hands, no duplicate people, no face morphing, no changing identity, no changing eye color, no changing hairstyle, no inconsistent age, no unrealistic hair physics, no stiff expressions, no unnatural walking, no artificial movements, no oversaturated colors, no excessive lens flare, no fake-looking ocean, no generic stock footage aesthetic, no blurry face, no warped background, no flickering details, no facial inconsistencies.

H A J R A

21,242 просмотров • 3 дней назад

Baddie and her treat Seedance 2.5 Prompt : Young Korean woman in her early 20s, naturally attractive, realistic skin texture, minimal makeup, relaxed Sunday personality. Long black wavy hair loosely tied into a messy side ponytail with a few loose strands around her face. Wearing a fitted pastel-pink short top, loose cream pajama-style pants, white sneakers and a simple silver necklace. Maintain the same face, hairstyle, clothing, body proportions and overall appearance throughout the entire video. LOCATION A quiet older Korean residential neighborhood during a warm Sunday afternoon. Concrete stairs outside small homes, narrow residential lanes, potted plants, bicycles, old walls, utility poles, overhead wires and a small neighborhood ice cream cart passing slowly through the street. CAMERA / VISUAL STYLE Raw personal footage casually recorded by a friend on an early-2000s consumer DV camcorder. Strong handheld shake, imperfect framing, autofocus hunting, faded colors, soft digital detail, slight exposure shifts, mild digital noise, occasional motion blur and accidental zooms. No stabilization, drone footage, gimbal movement or polished commercial cinematography. — SITTING OUTSIDE HOME She sits lazily on the concrete stairs outside her home, enjoying the quiet Sunday afternoon. She stretches her arms, looks down the empty lane and notices an ice cream cart approaching in the distance. Her expression immediately becomes more interested. — ICE CREAM CART She stands up and walks toward the cart. She looks through the colorful ice cream selection for a moment, chooses one and hands the seller some cash. The seller gives her the ice cream. She smiles, thanks him with a small nod and walks back toward her house. — ENJOYING THE ICE CREAM She sits back down on the stairs and slowly unwraps the ice cream. She takes her first bite, closes her eyes briefly and smiles because it tastes good. She casually watches people passing through the lane while continuing to eat. — THE MELT Because of the warm afternoon, the ice cream begins melting quickly. A little melted ice cream runs down her fingers. She notices it and tries to catch the dripping ice cream with her other hand. A larger drop suddenly falls onto the concrete beside her. She looks down at it and laughs. — THE CAT A small neighborhood cat notices the melted ice cream on the ground. It walks over and starts licking the little drop from the pavement. She watches the cat with an amused expression. She looks toward the camera and laughs quietly. — CLEAN HAND She notices some melted ice cream still on her fingers. Instead of reaching for anything, she casually cleans the remaining sweetness from her fingertips with her tongue, then laughs at herself when she realizes the camera caught it. She shakes her head and takes another bite of the ice cream. — FINAL MOMENT She finishes the ice cream while sitting on the stairs. She looks toward the camera with a playful smile and gives a small wave. "Sunday solved." She leans back comfortably on the stairs while the cat sits nearby. The camera holds for a moment before naturally cutting to black. AUDIO: Ice cream cart bell, footsteps, birds, summer insects, distant bicycles, neighborhood conversations, wrapper sounds, cat sounds and subtle camcorder handling noise. No music, narration or soundtrack. FINAL FEEL: A completely ordinary Korean Sunday afternoon accidentally captured by a friend on an old DV camcorder — warm, funny, intimate, spontaneous and nostalgic. Realistic melting ice cream, natural cat behavior, authentic reactions, imperfect handheld framing and no exaggerated acting or polished commercial cinematography.
0:30

Baddie and her treat Seedance 2.5 Prompt : Young Korean woman in her early 20s, naturally attractive, realistic skin texture, minimal makeup, relaxed Sunday personality. Long black wavy hair loosely tied into a messy side ponytail with a few loose strands around her face. Wearing a fitted pastel-pink short top, loose cream pajama-style pants, white sneakers and a simple silver necklace. Maintain the same face, hairstyle, clothing, body proportions and overall appearance throughout the entire video. LOCATION A quiet older Korean residential neighborhood during a warm Sunday afternoon. Concrete stairs outside small homes, narrow residential lanes, potted plants, bicycles, old walls, utility poles, overhead wires and a small neighborhood ice cream cart passing slowly through the street. CAMERA / VISUAL STYLE Raw personal footage casually recorded by a friend on an early-2000s consumer DV camcorder. Strong handheld shake, imperfect framing, autofocus hunting, faded colors, soft digital detail, slight exposure shifts, mild digital noise, occasional motion blur and accidental zooms. No stabilization, drone footage, gimbal movement or polished commercial cinematography. — SITTING OUTSIDE HOME She sits lazily on the concrete stairs outside her home, enjoying the quiet Sunday afternoon. She stretches her arms, looks down the empty lane and notices an ice cream cart approaching in the distance. Her expression immediately becomes more interested. — ICE CREAM CART She stands up and walks toward the cart. She looks through the colorful ice cream selection for a moment, chooses one and hands the seller some cash. The seller gives her the ice cream. She smiles, thanks him with a small nod and walks back toward her house. — ENJOYING THE ICE CREAM She sits back down on the stairs and slowly unwraps the ice cream. She takes her first bite, closes her eyes briefly and smiles because it tastes good. She casually watches people passing through the lane while continuing to eat. — THE MELT Because of the warm afternoon, the ice cream begins melting quickly. A little melted ice cream runs down her fingers. She notices it and tries to catch the dripping ice cream with her other hand. A larger drop suddenly falls onto the concrete beside her. She looks down at it and laughs. — THE CAT A small neighborhood cat notices the melted ice cream on the ground. It walks over and starts licking the little drop from the pavement. She watches the cat with an amused expression. She looks toward the camera and laughs quietly. — CLEAN HAND She notices some melted ice cream still on her fingers. Instead of reaching for anything, she casually cleans the remaining sweetness from her fingertips with her tongue, then laughs at herself when she realizes the camera caught it. She shakes her head and takes another bite of the ice cream. — FINAL MOMENT She finishes the ice cream while sitting on the stairs. She looks toward the camera with a playful smile and gives a small wave. "Sunday solved." She leans back comfortably on the stairs while the cat sits nearby. The camera holds for a moment before naturally cutting to black. AUDIO: Ice cream cart bell, footsteps, birds, summer insects, distant bicycles, neighborhood conversations, wrapper sounds, cat sounds and subtle camcorder handling noise. No music, narration or soundtrack. FINAL FEEL: A completely ordinary Korean Sunday afternoon accidentally captured by a friend on an old DV camcorder — warm, funny, intimate, spontaneous and nostalgic. Realistic melting ice cream, natural cat behavior, authentic reactions, imperfect handheld framing and no exaggerated acting or polished commercial cinematography.

Smiling Khan

14,037 просмотров • 22 дней назад