名画を立体的に鑑賞する方法 Nano Banana Pro (深度/法線マップ生成)→ WebGL(Three.js) スマホでも体験できます👉 【プロンプト】 （法線マップ用）... Generate a surface normal map from the input artwork image. Output one RGB image where each pixel encodes the surface normal direction in standard tangent-space format: •R = X direction •G = Y direction •B = Z direction Requirements: •Maintain the same resolution and aspect ratio as the input image. •Normal directions must follow the local geometry implied by brush strokes, shading, and contours. •Do NOT add new artistic elements or repaint the scene. •Only infer plausible micro-geometry and surface orientation. •Ensure smooth, consistent normal transitions without noise. （深度マップ用） Generate a depth map from the input artwork image. Output a single grayscale depth map where: •White = near to the viewer •Black = far from the viewer Requirements: •Maintain the same resolution and aspect ratio as the input image. •Depth must be smooth, continuous, and physically plausible. •Infer only geometric depth that could reasonably exist in the original artwork. •Do NOT add new objects or details. •Do NOT stylize, repaint, or reinterpret the scene. •Avoid texture noise; focus solely on depth structure.show more

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN... SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.show more

Seedance 2.0 on FlovaAI =================== Prompt: [Reference Identity Lock]... Image 1 is ONLY the main female protagonist. Her face, hairstyle, body type, and outfit must match Image 1 exactly and stay consistent for the entire video. Image 2 is ONLY a uniform reference. All four opponents wear the school uniform shown in Image 2. Never swap, merge, duplicate, or blend identities. The protagonist's identity comes ONLY from Image 1. The four opponents have NO reference images. They are defined by the text descriptions below. The four opponents must not resemble the protagonist, and they must not resemble each other. All five characters must remain clearly distinct and recognizable until the end. [Priority Order] 1. Preserve the protagonist's identity from Image 1. 2. Keep the four opponents visually distinct from her and from each other. 3. Maintain one continuous shot with no cuts. 4. Keep the classroom layout spatially consistent. 5. Make the action fast but readable and physically connected. 6. Keep the tone as a Korean school action drama, stylish but grounded. Korean school action drama classroom fight scene — 15 seconds, ONE CONTINUOUS SHOT, NO CUTS. A single uninterrupted handheld shot. No cuts, no scene transitions, no montage. The camera should feel handheld, with micro-jitters, slight rolling shutter, and raw unstable realism. The camera must physically travel through the same classroom space. Every transition must be motivated by camera movement, not editing. Whip pans are allowed, but they must not hide a cut. Do not teleport the camera or characters. The classroom layout and character positions must remain spatially consistent. Audio: No music. Only realistic school and classroom ambient sounds: old fluorescent light hum, distant hallway noise, ceiling fan, shoes scraping the floor, desks dragging, chair legs screeching, cloth friction, dull body impacts, and breathing that gradually becomes heavier. Breathing continues throughout the scene and keeps building. Lighting: Late afternoon in a Korean high school classroom. Mixed cool fluorescent light and warm sunlight through the windows. Dust floating in the sunlight. Soft fan shadows moving across desks and school uniforms. Main character: The Korean female high school student from Image 1, age 17–18. Cold, emotionless, calm, and intimidating. She barely speaks and does not scream during the fight. She remains composed from beginning to end. Her movements are efficient, explosive, and precise. Even if her frame is not large, she dominates through speed, timing, and accuracy. Main outfit: Exactly the outfit shown in Image 1. Do not change its colors, design, or details. Her jacket or outer layer is either removed and hanging on a chair, or worn in a slightly messy way. The action must be non-sexualized and combat-focused. Fabric movement, dust, sweat, wrinkles, and impact response should feel realistic. Opponent rules: Four Korean female high school students, all wearing the Hanlim Multi Art School uniform shown in Image 2. They have no reference images. Define them strictly by these descriptions and keep each one consistent: Opponent A: short black bob with straight bangs, medium build, round face. Opponent B: long straight hair tied in a high ponytail, tall and lean, sharp jawline. Opponent C: shoulder-length hair with side-swept bangs, slim build, narrow face. Opponent D: long wavy hair worn loose, slightly stocky and broad-shouldered. A, B, C, and D must each keep clearly different faces, hairstyles, body shapes, and silhouettes. They must not resemble the protagonist, and they must not resemble each other. No face duplication, no face merging, no identity confusion. Environment: An empty classroom at Hanlim Multi Art School, a Korean performing arts high school in Seoul. Green chalkboard, chalk tray, worn wooden desks, plastic chairs, classroom clock, class schedule poster, discipline/life-guidance posters, cleaning tools, blinds or curtains, wall study materials, and a slightly scuffed floor. Desks and chairs should react naturally to impacts, sliding, shaking, and collapsing when hit. Camera framing rules: Even during kicks, framing should stay around chest-level or eye-level. No low-angle shots under the skirt. Do not focus on legs, thighs, underwear, or fetish-like details. All action framing must prioritize faces, upper-body motion, impact, and spatial choreography. Continuous action and camera choreography: From 0 to 15 seconds, the fight continues without any cuts. The action should be stylish but readable, and every movement must be physically connected. 0–3s: The camera starts behind the protagonist at a slightly low handheld angle, drifting left through the classroom aisle. Opponent A grabs the protagonist's shoulder roughly and says in Korean: "야, 너 지금 뭐 하자는 거야?" The protagonist silently turns and lands one hard straight punch to A's face. At impact, use a very brief 15% slow motion: cheek ripple, dust particles, deep thud. A falls sideways into a desk. The camera dips slightly from the shock, then whip-pans right without cutting. 3–6s: Opponent B charges in from the right. The protagonist steps forward instead of retreating. A short body shot to the stomach. Immediate uppercut to the chin. Without pausing, she drives forward into a flying knee to B's chest. B is thrown backward across or into a desk. The camera follows the forward motion low, then rebounds upward with the impact. 6–9s: Opponent D attacks with two fast punches. The protagonist deflects both strikes with her arms, then flows into a turning backfist to D's face. As D staggers, she continues the same rotation into a spinning back elbow that lands hard on D's jaw or temple. D crashes sideways into two or three desks. The camera arcs around her shoulder and jitters slightly at each impact. No cuts. 9–12s: Opponent C rushes in from the chalkboard side. The protagonist clearly grabs C's collar with her left hand. C's face must be fully visible from the front and clearly different from the protagonist. The protagonist lands one short, hard punch to C's face, then immediately throws a powerful high kick or flying high kick into C's chest. The force sends C backward into the green chalkboard. The protagonist remains in the foreground and never touches the board. The protagonist's face should be side-profile or partially obscured. C's face should be clearly visible from the front at the moment of impact. Their faces must never overlap in frame. Use a very brief 20% slow motion at the chalkboard impact: chalk dust bursts outward, and C slides down the board. The camera pushes up with the impact, then tilts down as C slides. 12–15s: Through the chalk dust, the camera hard-pans right. D makes one final charge. The protagonist sidesteps and lands a tight uppercut to D's chin, followed immediately by a cross. D crashes into a row of desks, causing a chain reaction of collapsing desks and chairs. The camera drifts forward slowly. The protagonist adjusts her loose tie or ribbon and brushes chalk dust off her shoulder. Her expression stays cold and serious. She walks past the camera and exits the frame. Dust floats in the sunlight. Natural ending. =================== Made with Flova #FlovaAI #FlovaCPPshow more

Nanobanana Pro Higgsfield AI 🧩 なるほどこれは便利！！ いろんなショットを一発で出して、そこから選ぶ感じ 見事にアップスケールしてくれる プロンプトはリプ欄の元投稿を使わせていただきました... ””” Analyze the entire composition of the input image. Identify ALL key subjects present (whether it's a single person, a group/couple, a vehicle, or a specific object) and their spatial relationship/interaction. Generate a cohesive 3x3 grid "Cinematic Contact Sheet" featuring 9 distinct camera shots of exactly these subjects in the same environment. You must adapt the standard cinematic shot types to fit the content (e.g., if a group, keep the group together; if an object, frame the whole object): **Row 1 (Establishing Context):** 1. **Extreme Long Shot (ELS):** The subject(s) are seen small within the vast environment. 2. **Long Shot (LS):** The complete subject(s) or group is visible from top to bottom (head to toe / wheels to roof). 3. **Medium Long Shot (American/3-4):** Framed from knees up (for people) or a 3/4 view (for objects). **Row 2 (The Core Coverage):** 4. **Medium Shot (MS):** Framed from the waist up (or the central core of the object). Focus on interaction/action. 5. **Medium Close-Up (MCU):** Framed from chest up. Intimate framing of the main subject(s). 6. **Close-Up (CU):** Tight framing on the face(s) or the "front" of the object. **Row 3 (Details & Angles):** 7. **Extreme Close-Up (ECU):** Macro detail focusing intensely on a key feature (eyes, hands, logo, texture). 8. **Low Angle Shot (Worm's Eye):** Looking up at the subject(s) from the ground (imposing/heroic). 9. **High Angle Shot (Bird's Eye):** Looking down on the subject(s) from above. Ensure strict consistency: The same people/objects, same clothes, and same lighting across all 9 panels. The depth of field should shift realistically (bokeh in close-ups). A professional 3x3 cinematic storyboard grid containing 9 panels. The grid showcases the specific subjects/scene from the input image in a comprehensive range of focal lengths. **Top Row:** Wide environmental shot, Full view, 3/4 cut. **Middle Row:** Waist-up view, Chest-up view, Face/Front close-up. **Bottom Row:** Macro detail, Low Angle, High Angle. All frames feature photorealistic textures, consistent cinematic color grading, and correct framing for the specific number of subjects or objects analyzed. """show more

A moment suspended between Saudi Arabia's football passion and... coffee tradition. GPT Image 2 + Seedance 2.0 on BudgetPixel AI prompt A highly cinematic, photorealistic single-shot sequence that preserves the exact original location, environment, architecture, objects, lighting conditions, camera perspective, and subject position from the source video. Do not replace, redesign, relocate, or alter the setting in any way. The person remains in the exact spot where they were filmed, maintaining their original pose, facial expression, body position, and interaction with the environment. The subject is wearing the official Saudi Arabia national football team uniform throughout the entire sequence: authentic green Saudi Arabia jersey with white details, official team crest, matching football shorts, athletic socks, and football boots. The uniform must appear naturally integrated into the original scene with realistic fabric folds, stitching, texture, shadows, reflections, and movement-free realism. Every background element, object, texture, structure, shadow, reflection, and environmental detail must remain identical to the original footage. The effect transforms the captured moment into a frozen-time cinematic sequence while keeping the real-world location completely unchanged. The subject is captured at the exact moment they pour a beverage from a transparent cup. Time has completely stopped. The liquid erupts from the cup in a dramatic suspended splash, forming elongated ribbons, twisting streams, intricate arcs, and hundreds of individual droplets frozen midair. Every droplet, splash fragment, and liquid strand appears perfectly suspended in space, creating the impression of a sculptural masterpiece made of liquid. The liquid spilling from the cup must be identical to the liquid inside the cup, with perfectly matching color, texture, thickness, reflections, transparency, and material properties. The beverage can be any type or color, but it must remain visually consistent throughout the scene with extreme realism. The subject remains absolutely motionless, frozen in the precise instant of action. Their posture, facial expression, fingertips, hair strands, jersey fabric folds, shorts texture, socks, football boots, accessories, and every micro-detail are perfectly preserved. Tiny condensation droplets on the cup, reflections on the surface, and subtle imperfections remain locked in place as if the entire world has been paused between two frames of time. The surrounding environment is equally frozen. Every object visible in the original footage remains completely static. Nothing moves. No wind, no shifting light, no falling droplets, no environmental motion. The entire world exists in a state of perfect suspension. The only moving element is the camera. The camera performs a slow, smooth cinematic arc movement around the subject, beginning from the original camera viewpoint and gradually orbiting to one side while maintaining focus on the frozen action. As the camera travels through three-dimensional space, it reveals changing perspectives of the suspended liquid sculpture, the Saudi Arabia football uniform, the subject, and the original environment. Strong spatial parallax is visible throughout the movement. Foreground droplets, liquid strands, the subject, nearby objects, and distant background elements shift relative to one another, creating a powerful sense of depth and dimensionality. The scene feels like moving through a perfectly preserved moment in time. Natural lighting remains consistent and unchanged throughout the shot. Shadows stay fixed, reflections remain stable, and materials such as glass, metal, stone, wood, fabric, football jersey fabric, embroidered team crest, and liquid exhibit highly detailed photorealistic textures. Captured with a premium wide-angle cinema lens, the scene emphasizes depth, scale, and immersive three-dimensional realism. The Saudi Arabia football uniform appears crisp, premium, and authentically detailed, with realistic fabric texture and professional sportswear quality. Core visual concept: The entire world is frozen in time exactly as it appeared in the original footage, like a hyper-detailed sculpture, while a subject wearing the Saudi Arabia national football team uniform pours a beverage that explodes into a suspended liquid masterpiece. The camera freely moves through the frozen moment, revealing dramatic parallax, depth, and cinematic realism from multiple angles. Style: Hyper-realistic, cinematic, ultra-detailed, 3D stop-motion illusion, frozen-time photography, volumetric depth, realistic lighting, film-quality rendering, smooth camera orbit, strong parallax, premium commercial sports production, museum-like suspended motion sculpture, exact environment preservation, original location consistency, photorealistic liquid simulation, luxury football advertisement aesthetic, FIFA World Cup promotional quality, 8K photorealism.show more

ChatGPT-Image-2.0 × Seedance 2.0 RPGゲームデモ 作り方： Step 1：ChatGPT-Image-2.0でゲーム風の画面を生成 例：... Prompt ➕ image 「一人称」視点、「ARPGタイプ」、「西部劇系」ゲームに着想を得た実機風スクリーンショットを生成。NPCは参考画像1を使用。 セリフ： “It’s time to set out, adventurer.” 選択肢： Alright, let’s go. Not right now. Why not? 💡お好みの画風やゲームジャンルに置き換え Step 2：Seedance 2.0で静止画を動画化 テキストでUI操作、セリフ、キャラクターの動きなどを補足。 Prompt Share 120 First-person perspective, immersive ARPG dialogue scene, single continuous shot. A small white rabbit adventurer stands directly in front of the camera. Its fur is soft and finely detailed, and its right eye is a glowing red mechanical eye. It reaches out toward the camera in an inviting gesture, with a calm and confident demeanor. The environment is a vast fantasy world: rolling green grasslands, ruined ancient stone structures, distant mountain ranges, and a lightly smoking volcano. The morning light is soft, the air is clear, and a gentle breeze moves the grass and leaves, creating a strong cinematic atmosphere with depth. The camera is in first-person view, with slight handheld motion and natural breathing sway. Shallow depth of field, cinematic realism. The rabbit looks directly into the camera and says: “Good morning, adventurer. It’s time to set out.” A semi-transparent game UI (modern ARPG style) appears on the right side: Alright, let’s go. Not right now. Why not? The cursor moves smoothly twice, pauses for 0.3 seconds, then selects “Why not?” The rabbit smiles slightly, tilts its head, and responds in a relaxed tone: “Sure.” In the next moment, all UI elements (dialogue box, options, health bar, minimap) fade out smoothly, returning the scene to a clean, UI-free world. The rabbit turns around, its cloak and backpack swaying naturally with physics, and begins walking forward along a stone path. The camera maintains a first-person follow, with subtle handheld motion, synchronized with the character’s walking rhythm. While walking, the rabbit raises its hand and points toward the distant horizon (mountains and a faint city silhouette), saying: “Look, that’s our destination.” A brief pause of about 0.5 seconds. The wind intensifies slightly, causing more noticeable movement in the grass and clothing, enhancing the epic atmosphere. The rabbit continues walking and says: “We have to get there before 8:08 PM.” The camera slowly pushes forward, focusing toward the distance. The far view transitions from slightly blurred to clear, with a subtle lens flare appearing, reinforcing the sense of a journey beginning and a clear objective. No subtitles, no background music. Only natural ambient sounds: wind, footsteps, and distant birds. Tips： ChatGPT-Image-2.0のストーリーボードも便利なんですが、今回みたいな用途だとテキストで流れを指定した方が、全体のつながりは安定しやすい印象です。 逆に、カット単位でしっかり作り込みたい場合はストーリーボードの方が向いています。 用途次第で使い分けるのが良さそうです🐰 どんなジャンルのゲームが好きですか？ 一緒に遊ぼう❤️‍🔥show more

Turn Tom and Jerry in 4K reality using Seedance... 2.0 on Pollo AI Prompt: Use the uploaded reference video as the master reference. Recreate the entire scene in ultra-photorealistic live action while preserving the original video frame-by-frame. Maintain the EXACT camera movement, lens, framing, composition, timing, pacing, shot transitions, lighting direction, environment, props, object placement, character blocking, and every action from the reference video. ONLY replace the cartoon characters with realistic live-action animals while keeping everything else unchanged. ======================== CHARACTER CONSISTENCY ======================== Tom is a realistic British Shorthair cat with: • blue-gray plush fur • white chest, muzzle and paws • large amber eyes • pink nose • rounded face • thick tail • expressive eyebrows • identical appearance in every frame • identical fur pattern, facial proportions, eye color and body size throughout the video Jerry is a realistic golden Syrian hamster with: • soft golden-brown fur • cream belly • large rounded ears • black shiny eyes • tiny pink paws • small pink nose • realistic whiskers • consistent body proportions in every frame • identical appearance throughout the entire video If other Tom & Jerry characters appear, replace them with realistic animals that preserve their personality, colors, proportions and expressions while remaining identical throughout the clip. ======================== MOTION ======================== Preserve every movement exactly. The realistic animals must perform the exact same actions, walking cycle, head movement, eye movement, paw placement, facial expressions, timing and interactions as in the reference animation. No new actions. No altered timing. No changed poses. ======================== ENVIRONMENT ======================== Keep the original environment exactly the same. Do not modify: • furniture • decorations • room layout • colors • props • shadows • reflections • camera angle • camera path Everything except the characters must remain unchanged. ======================== QUALITY ======================== Hollywood-quality CGI. Photorealistic animals. Natural muscle movement. Physically accurate fur simulation. Realistic whiskers. Subsurface scattering. Realistic eye reflections. Natural breathing. Micro facial expressions. Ultra detailed textures. Soft cinematic lighting. Shallow depth of field. Global illumination. Ray-traced reflections. Macro photography realism. 4K HDR. Disney-level VFX quality. Live-action realism. Extremely stable temporal consistency. Perfect character identity consistency across all frames. Do not redesign the characters. Do not change the environment. Do not change the camera. Do not change the timing. Do not add new objects. Do not crop or zoom differently. No flickering. No morphing. No identity drift. No fur color changes. No eye color changes. No size changes. No anatomy deformation. No extra limbs. No duplicate animals. No cartoon textures. No low-quality CGI. No inconsistent lighting. No frame-to-frame variation. Maintain perfect temporal consistency and character consistency throughout the entire video.show more

PROMPT: Generate a continuous 15-second premium live-action broadcast TV... commercial for a high-performance family kitchen blender, designed as an energetic, polished consumer-appliance advertisement emphasizing FAST BLENDING POWER. The commercial must tell a complete miniature visual story within exactly 15 seconds: a busy family needs breakfast quickly, fresh ingredients enter the blender, one touch unleashes powerful high-speed blending, a thick mixture transforms almost instantly into a perfectly smooth fruit smoothie, the family enjoys the result, and the commercial ends on a clean hero product shot with the promise: “Smooth in Seconds.” Maintain a consistent high-end contemporary commercial visual style throughout the entire sequence: photorealistic food photography, tactile ingredient detail, premium appliance surfaces, energetic but controlled camera movement, crisp natural highlights, appetizing freshness, believable family warmth, and polished broadcast-advertising finish. Shoot as if captured on an ARRI Alexa 35 cinema camera using a coordinated set of 24mm, 35mm, 50mm, 85mm, and 100mm macro cinema lenses. Preserve realistic perspective, physically plausible motion, natural depth of field, smooth highlight roll-off, subtle cinematic contrast, clean skin tones, rich food texture, controlled motion blur, and sharp product detail. The entire commercial takes place during one continuous bright weekday morning in the SAME modern family kitchen. The kitchen has warm off-white cabinetry, pale natural-oak counters, a large sunlit window frame-left, brushed stainless-steel fixtures, a small breakfast table in the background, subtle family-life details, and a clean uncluttered countertop. Warm morning sunlight enters consistently from frame-left at approximately 5200K, supplemented by soft interior fill, producing gentle directional shadows and bright natural reflections. Maintain the same architecture, counter layout, window position, furniture, appliances, background objects, lighting direction, and color palette throughout every shot. New camera angles reveal different perspectives of the same physical kitchen and must never create a different-looking location. LOCKED PRODUCT: one premium family countertop blender with a compact matte-silver motor base, black control panel, one illuminated circular speed control, large clear 1.8-liter blending pitcher, black fitted lid, stainless-steel blade assembly, sturdy black handle, and subtle unbranded front badge area. The blender’s shape, proportions, materials, controls, pitcher geometry, lid, handle, blade assembly, reflections, scale, and countertop position remain identical throughout every shot. It begins centered on the main kitchen counter and never changes location. LOCKED INGREDIENTS: fresh strawberries, banana pieces, blueberries, mango chunks, Greek yogurt, milk, and several ice cubes. Ingredients must retain recognizable colors and textures before entering the pitcher. Once added, object permanence must be respected: ingredients cannot reappear outside the blender. During blending, the mixture must transform physically and continuously from visibly chunky fruit and ice into a uniform thick pink-red smoothie. LOCKED FAMILY: a mother in her mid-30s with shoulder-length dark brown hair wearing a soft beige knit top and blue jeans; a father in his late-30s with short dark hair wearing a pale blue casual shirt; an approximately eight-year-old daughter with dark brown hair in a ponytail wearing a muted yellow T-shirt; and an approximately six-year-old son with short brown hair wearing a light green T-shirt. Preserve their exact ages, facial identity, hairstyle, wardrobe, body proportions, and appearance whenever visible. Their expressions progress naturally from hurried anticipation to impressed surprise to relaxed enjoyment. Avoid surreal food behavior, floating ingredients, impossible liquid physics, teleporting objects, changing blender geometry, inconsistent pitcher fill levels, duplicated fruit, warped hands, extra fingers, changing wardrobe, altered kitchen architecture, random background changes, excessive lens distortion, unreadable product geometry, fake plastic food textures, excessive camera shake, oversaturated grading, artificial CGI appearance, flickering light, exposure shifts, continuity resets, jumpy object positions, text artifacts, random labels, logos, watermarks, or unrelated products. 00:00–00:02.0 — OPENING PROBLEM / FAMILY MORNING RUSH. Begin with a dynamic 24mm wide establishing shot from approximately countertop height, looking diagonally across the kitchen while preserving a left-to-right spatial axis. The mother moves briskly toward the counter from frame-left as the two children wait near the breakfast area in the background, visibly eager and short on time. The father passes behind them preparing to leave. Morning sunlight streaks naturally through the frame-left window. The locked blender is already visible on the counter as the visual anchor, positioned prominently but naturally in the foreground-right. Use a smooth fast dolly-in toward the blender rather than a hard zoom. Small breakfast details suggest a busy school morning without cluttering the frame. Sound begins with subtle morning kitchen ambience, quick footsteps, a chair movement, and upbeat rhythmic music immediately establishing urgency. No spoken dialogue. 00:02.0–00:04.0 — INGREDIENT SPEED MONTAGE. Match-cut into a rapid sequence of three extremely concise food-preparation inserts totaling exactly two seconds. First, a 100mm macro close-up catches vivid strawberries and blueberries dropping into the clear pitcher, with realistic gravity, bounce, moisture, and fruit texture. Cut to banana pieces and mango chunks entering from above, maintaining the exact pitcher position and increasing fill level logically. Cut to a tight side insert as Greek yogurt, milk, and ice cubes enter last. Use crisp impact sounds synchronized with each ingredient: thump, splash, clink. Each insert changes visual information and advances the preparation; never repeat the same composition. Camera movement is minimal and precise so the speed comes primarily from editorial cutting. The blender remains OFF throughout these inserts. 00:04.0–00:05.2 — ONE-TOUCH ACTIVATION. Cut to an 85mm close-up from a low three-quarter front angle of the blender control panel. The mother’s right index finger enters naturally from frame-left and presses the illuminated circular control exactly once. Show believable fingertip compression against the control. The instant contact occurs, the control illumination brightens and the motor begins. Add a precise tactile click followed immediately by a confident rising electric motor sound. Use a subtle fast push-in timed to activation. The hand exits naturally; do not show multiple presses. 00:05.2–00:08.2 — POWER DEMONSTRATION / HERO BLENDING MOMENT. Cut to a dramatic but physically realistic 50mm close three-quarter view of the entire pitcher. The motor accelerates rapidly. Ice cubes and fruit initially tumble downward toward the stainless-steel blades, then form a powerful controlled vortex. Show the transformation continuously: recognizable strawberries, blueberries, banana, mango, yogurt, milk, and ice become progressively smaller and more integrated until the mixture turns into a completely smooth, thick pink-red smoothie. The action must communicate exceptional blending speed without supernatural physics. Condensation begins subtly on the outside of the pitcher. Tiny droplets and believable internal turbulence catch the frame-left morning light. During this three-second power demonstration, execute a controlled semicircular camera move of approximately 35 degrees around the front of the blender without crossing the established spatial axis. Begin slightly frame-left of the product and finish near frontal three-quarter. Maintain the blender base completely stable on the countertop with no unrealistic vibration or sliding. Use one brief 100mm macro insert lasting approximately 0.5 seconds to reveal the high-speed vortex and disappearing final fruit fragment, then return immediately to the matching three-quarter product angle. Sound design intensifies with a strong smooth motor whirr synchronized to the vortex, layered with the upbeat music. At approximately 00:07.6, the last visible fruit fragment disappears into the vortex. By 00:08.2 the mixture is visibly uniform, silky, and completely smooth. This transformation is the commercial’s core proof point: FAST BLENDING POWER. 00:08.2–00:09.5 — INSTANT RESULT. The motor stops cleanly. Cut to a 100mm macro beauty shot looking through the clear pitcher wall at the perfectly smooth smoothie surface settling from a gentle spiral into a glossy, uniform texture. A small central swirl collapses naturally. No chunks remain. Condensation beads on the exterior catch bright highlights. Use shallow depth of field while retaining enough pitcher edge detail to identify the product. Sound drops from the motor into a satisfying soft stop, followed by a subtle musical accent. A confident female voice-over begins: “Powerful blending…” 00:09.5–00:11.5 — POUR AND PROOF. Match the circular smoothie motion into a 50mm close-up of the mother tilting the same pitcher and pouring the thick smoothie into two clear family drinking glasses on the same countertop. The liquid forms a smooth continuous ribbon with realistic viscosity and no splashing errors. The pitcher’s remaining fill level decreases correctly. Camera tracks gently with the pour from left to right. The daughter and son appear softly out of focus beyond the glasses, watching with excited expressions. As the glasses fill, rack focus briefly from the flowing smoothie to the children’s delighted reaction. Voice-over completes: “…smooth results in seconds.” 00:11.5–00:13.0 — FAMILY PAYOFF. Cut to a warm 35mm medium shot at the breakfast counter. The two children each take one synchronized first sip from their filled glasses, then immediately exchange impressed smiles. The mother stands behind them with a relaxed satisfied expression while the father takes a filled travel cup and moves toward frame-right, suggesting the blender has saved valuable morning time. Keep performances natural rather than exaggerated. The blender remains visible in the background on its original counter position, recognizable and unchanged. Morning sunlight and the same warm neutral palette continue without variation. The music opens into a bright satisfying resolution. The daughter gives a quick authentic smile and says: “That was fast!” 00:13.0–00:15.0 — PRODUCT HERO / BRAND END FRAME. Use a clean visual match cut from the child’s smoothie glass to the locked blender standing alone in a polished hero composition on the SAME kitchen counter. Shoot on an 85mm lens at slightly below pitcher midpoint for a confident premium product perspective. The blender occupies the center-right of frame while a freshly poured smoothie glass, two strawberries, several blueberries, and one mango slice form a restrained ingredient arrangement in the lower foreground-left. These garnish ingredients are separate presentation ingredients introduced only for the hero composition and must not imply that previously blended ingredients have magically reappeared. Create a slow controlled 5% push-in during the final two seconds. Frame-left morning sunlight creates a clean edge highlight along the clear pitcher and matte-silver motor base. Maintain realistic reflections, exact product geometry, and crisp separation from the softly defocused kitchen background. At 00:13.3, introduce a clean broadcast-safe text overlay in the negative space on frame-left: “FAST BLENDING POWER” At 00:14.0, transition cleanly to the primary campaign line: “SMOOTH IN SECONDS.” Below it, smaller: “POWER FOR EVERY FAMILY MORNING.” Typography is modern, bold, minimal sans-serif, perfectly legible, horizontally aligned, broadcast-safe, with no distorted letters and no unnecessary graphical effects. Keep all typography outside the physical blender silhouette. Voice-over, confident and warm: “Fast power. Smooth mornings.” End exactly at 00:15.0 on a perfectly stable hero frame with the blender sharply resolved, smoothie glass visible, campaign line readable, music landing on a clean sonic logo accent. CAMERA AND EDITING RULES: Use motivated cuts whenever subject, visual information, camera position, action, or emotional emphasis changes. Maintain energetic medium-fast commercial pacing: wider contextual opening, rapid ingredient inserts, tactile activation close-up, high-energy blending demonstration, sensory result macro, fluid pouring shot, human reaction payoff, then a slower premium hero landing. Preserve the established 180-degree axis throughout. No camera crosses the axis unless visibly motivated, and no silent changes in object placement occur between cuts. Maintain consistent camera height for matching shot types. Screen direction remains left-to-right for preparation and family movement. Every shot must introduce new action, information, perspective, reaction, or product proof. AUDIO DESIGN: Begin with subtle morning kitchen ambience under upbeat modern percussive music. Synchronize fruit impacts, ice clinks, control click, motor acceleration, vortex intensity, motor stop, smoothie pour, drinking sounds, and final sonic logo precisely to picture. The blender motor must sound powerful but refined rather than harsh. Duck music naturally beneath the voice-over and daughter’s dialogue. No audio clipping or abrupt ambience resets between cuts. VISUAL COLOR SYSTEM: warm off-white, pale natural oak, matte silver, fresh strawberry red, blueberry blue, mango golden-yellow, and creamy smoothie pink-red. Preserve natural skin tones and realistic food saturation. Use a premium contemporary commercial grade with moderate contrast, soft highlight roll-off, clean whites, controlled blacks, and no teal-orange exaggeration. MOVEMENT AND PHYSICS: All hands interact correctly with objects. Ingredients obey gravity. Liquid volume remains continuous. The pitcher fill level increases when ingredients are added, decreases when smoothie is poured, and never resets between shots. The blender stays physically planted on the counter during operation. The motor vortex follows plausible fluid dynamics. Hair, clothing, reflections, condensation, shadows, and liquid motion react naturally. Maintain strict character consistency, product consistency, object permanence, environment continuity, lighting continuity, and forward-only time progression across the full sequence. Render the final commercial at 24 fps, 16:9 broadcast aspect ratio, UHD 3840×2160 resolution, high-bitrate cinematic master quality, natural 180-degree shutter motion blur, realistic cinema-lens behavior, subtle fine sensor texture, clean compression, no visible digital artifacts, no temporal flicker, no frame interpolation artifacts, and photorealistic high-end commercial rendering. Preserve sharp product edges and legible end-frame typography while allowing natural depth-of-field falloff. The entire finished sequence must be EXACTLY 15 seconds long. Do not extend or shorten any beat. The central visual message must be immediately understandable without dialogue: a busy family morning becomes easier because this family blender turns whole ingredients and ice into a perfectly smooth drink with exceptional speed. The emotional progression is urgency → activation → power → instant proof → family satisfaction → premium product promise. Final audience takeaway: FAST BLENDING POWER. SMOOTH IN SECONDS.show more

Grandma and Grandpa Duo Together 😎 ChatGPT Image 2+... Seedance 2 Creation in Magnific Editing app - Capcut INTENT: Create a whimsical magical-adventure sequence that begins with playful curiosity and discovery, briefly escalates into supernatural danger when one student is swept into a living paint current, then resolves with a clever emotional rescue and uplifting ending. STYLE: stylized family-feature 3D animation feel, rounded expressive silhouettes, painterly fantasy environments, clean readable forms, magical brushstroke textures, soft cinematic lighting, colorful atmospheric depth, polished animated-film finish. WORLD: a living fantasy painting world where landscapes, oceans, clouds, and structures are made entirely from moving paint strokes and sketch textures. Wet brush marks ripple across the environment, floating pigment drifts through the air, and drawn lines can physically reshape the world in real time. REFERENCES: Use the provided previs storyboard page @[storyboard_image] as the main reference. Do not treat the page as one single image. Treat the panels as sequential shot keyframes and expand them into a coherent short scene with clear continuity. Use the @[character_sheet_image] as characters reference. VISUAL APPROACH: Match the storyboard's spatial variety and emotional pacing. Prioritize readability, screen direction, and continuity of action across beats. Keep visual motion calm and intentional rather than restless. Preserve the playful exploration energy during the beginning, then gradually shift into suspense and urgency once the magical paint current appears. The painted world should constantly feel alive — brushstrokes flowing, paint rippling, sketch lines forming dynamically in space, and environments subtly reshaping themselves organically. CAMERA FLOW: Wide establishing shot inside an art studio as two students discover a glowing magical painting. Tracking exploration shots through colorful painted landscapes and moving brushstroke terrain. 3/4 suspense angle as one student accidentally approaches unstable ocean-like paint strokes. High-angle danger shot as the student slips into a giant flowing paint current and gets swept away. Medium action shot as the second student realizes sketch tools can alter the world itself. Dynamic low-angle rescue sequence as glowing hand-drawn bridges and ramps rapidly appear across the moving paint river. Hero rescue moment as one friend grabs the other moments before disappearing into the massive paint wave. Wide emotional payoff shot as the magical world calms, sunlight returns, and the newly drawn paths remain across the landscape. LIGHTING: Warm magical gallery light at the beginning. Bright fantasy color palettes during exploration. Stormy blue paint turbulence and dramatic contrast during danger. Soft golden painterly sunlight during the ending. MOOD: adventurous, playful, magical, emotional, suspenseful for a brief moment, then uplifting and triumphant. ANIMATION FEEL: Expressive family-animation energy with cinematic staging, strong silhouette readability, emotional body language, smooth environmental transitions, and visually clear storytelling designed for a short-form animated sequence. Prompt with Image style inspired by Kōdashow more

AI creations are becoming more impressive, but the most... interesting part is often what happens behind the scenes. Higgsfield has open-sourced its Originals, giving creators access to the prompts, references, and workflows behind these AI films. Now you can see how these creations come together, explore the process, and learn from the techniques behind them. Prompt for this video: Style: 8K IMAX, traditional hand-drawn 2D animation, animated on twos at 12 frames per second — each drawing held for two frames then replaced, choppy stepped motion cadence, visible pose-to-pose timing, distinct keyframe drawings with no smooth in-between interpolation, hand-painted oil-brush texture on every drawing, brushstrokes shifting and redrawn from frame to frame, line jitter and boil between frames. No 3D render, no game engine, no CGI smoothness. The 12 principles of animation throughout: anticipation, squash and stretch, follow-through and overlapping action, slow in/slow out, arcs, secondary action, exaggeration, solid drawing — applied to every element including wolf bodies, clothing, breath, and snow particles. Cinematography: Lubezki / Deakins. Aggressively handheld inside the scene — constant restless shake and jitter every frame, jerky bounce, frame buffeted sideways by gusts, sharp reframing jolts, breathing sway. Horizon never perfectly level. Never gimbal-smooth, never tripod, never dolly, never crane, never aerial. Wide anamorphic approximately 24mm. Shallow depth of field. Camera eye level or below. CHARACTER REFERENCE IS ABSOLUTE — faces and designs from reference images exactly 1-to-1. Reference always overrides text description. CHARACTER TAGS: - THE MOTHER = woman from >>. Bundle clamped to her chest in one arm, the bundle a dark non-glowing shape, faint pale grey breath vapor torn off by the wind, no glow. - THE TODDLER = small girl from >>. Name Umai. - THE WOLVES = animals from >>. Each wolf stands roughly half a human's height at the shoulder. Body length from head to tail equals approximately one full human height. Large, heavy, and low to the ground. - THE FOREST = location from >>. Lighting: no light source, no moon, no stars, no rim light, no contre-jour, no key light. Flat dim diffuse ambient grey-white glow only — no direction, no gradient shading. Flat painted shapes. All forms read as dark silhouettes or mid-grey against white atmosphere. Atmosphere: violent blizzard continuous every frame. Snow driven horizontally. Visibility approximately 3 meters. Rolling white-out waves sweeping the lens. Wind never drops. Hair and robe ends stream sideways with full follow-through and overlapping action. Audio: dominant roaring blizzard wind. THE MOTHER's trembling breath close. Distant low wolf howl buried under wind, barely audible in Shot 2D. No dialogue. No music. No subtitles. SHOT 2C — EXTREME CLOSE-UP handheld on THE MOTHER's eyes. Duration: 3 seconds. COMPOSITION: asymmetric — forbidden: any centered or symmetric framing. One eye occupies the left two-thirds of frame. The other eye cut by the right frame edge — only the inner corner visible. Slight Dutch angle tilt. Lashes ice-crusted and heavy. Whites faintly red-veined from cold and wind. Main eye narrowed, gazing off-screen into far distance below frame. ACTION on twos: eyeball in micro left-right tracking movement — pause — pupils contract sharply — the instant of recognition — eyelids flutter slightly in two held frames — jaw corner tightens off-frame, visible only as a tension in the cheek — breath vapor drifts across the lower corner of frame, torn sideways by wind. Constant handheld micro-shake throughout. A rolling wave of buran briefly obscures the frame. Animated on twos. HARD CUT TO SHOT 2D — WIDE SHOT handheld — wolf pack as shadow mass — distance mode. Duration: approx. 8 seconds. COMPOSITION: asymmetric — forbidden: centered framing. Camera positioned within the tree line, offset to the left. Dense tree trunks occupy and crowd the right third of frame. Open space to the left. Depth axis shifted right, not centered. Wolf pack drives into frame from the lower right — mass heaviest on the right side, left edge showing only sparse fringe and trailing edge. THE PACK — approximately two hundred wolves. They do not exist as individual animals. NOT smoke, NOT mist, NOT vapor — the pack has mass, weight, and momentum. The entire pack moves as a single body of dark water surging downhill — liquid with density and pressure behind it, not diffuse or drifting. It is also shadow: it swallows light rather than reflects it, leaving a presence darker than everything around it in the flat grey-white atmosphere. Water and shadow — these two qualities together, never smoke. Movement pace: swift and relentless — faster than expected for something so massive, the speed of a flash flood or a river breaking its banks, not slow and rolling. The mass covers ground urgently, with weight and velocity combined. Mass density clearly differentiated: the core is near-opaque dense black like deep water — solid, heavy, light-swallowing — toward the edges it thins like water spreading at its margins, individual silhouettes briefly legible at the fringe then reabsorbed into the core. The edge is not soft or diffuse like smoke — it is the ragged turbulent edge of moving water. Large waves and small waves alternating with speed: heavy large waves surge and crest — small fast wave-crests explode between them. White teeth are the only thing in frame that does not belong to the shadow — solid, material, flashing simultaneously at multiple points as wave-crests break, then swallowed back. Skull outlines breach the surface and are pulled under like objects in fast current. Charcoal black with deep navy-blue sheen. Amber-yellow eye-points ignite in clusters in the darkness then extinguish in batches like bioluminescence in black water. Black water flood pours between the tree trunks — trunks submerged by black then re-emerging as the mass passes. Contrast: white blizzard / black wolf mass — white fear, black death. Camera near-still, breathing micro-shake only — as if the observer has instinctively stopped breathing. Animated on twos. Constraints: wolf pack is NEVER smoke, mist, or vapor — it has mass, weight, density, and speed — it is water and shadow. Wolf pack is NEVER a collection of individually animated animals — always a single fluid mass. DISTANCE MODE: mass coherence is absolute, individual wolves do not detach or become readable as separate figures. White teeth are the ONLY non-shadow element within the pack mass. Amber-yellow eye-points appear and extinguish in clusters, never individually. No warm light source anywhere in any frame. No rim light, no backlight, no moonlight — flat grey-white diffuse ambient only. No amber glow from forest reference applied. Camera handheld throughout — never stabilized, never smooth. Animated on twos throughout, no interpolation. 11 seconds total. 12fps. 8K. No music. SFX only. No subtitles. No 3D.show more

I would like to explain the latest batch of... viral videos I'm working on to the bemused brainrot-curious reader who is not familiar with "the culture". Why are these characters, mixed with this song, going viral? It's all about connecting infinite referential mirrors. What makes this video interesting are not its individual parts but the signifier links it draws. Let's look at the individual parts: ONE: The song is a Brazilian funk or "pancadão" song called MC Lan e MC WM - Sua Amiga Vou Pegar, these days part of what's broadly referred as Brazilian phonk or just phonk (not to be confused with the original phonk, a Memphis-derived genre from the early 2010s built around chopped Three 6 Mafia samples, cowbells and lo-fi tape hiss and etc. The Brazilian version comes an entirely different lineage and got its name adapted from “funk” to “phonk” exclusively because the names sounded similar. It has a similarly menacing posture but swaps the rap cadence for funk's 4/4 with kicks on 1 and 3 rhythm and a much heavier, distorted 808 synth sound). Phonk is often used for its exaggerated reverb feeling bass lines to signify power, style or simply "aura", which you can take as a shorthand for poise, coolness, being de-bon-air and a general detached positive feeling of high status. Aura. Because most users cannot understand the Portuguese lyrics (which are often quite vulgar and sexual), the singing takes the characteristic of a chant, something to be appreciated entirely for its sound, texture and gravitas. The vocals are just another instrument where you can appreciate the menace and swagger of the delivery directly without the cognitive friction of meaning. Non-Portuguese-speaking audiences are not missing anything they were supposed to get, they get “the vibe” that matters, which is not lyrical. These songs are often paired with (male) characters that are taken to display these traits like American Psycho's Patrick Bateman (yes, yes I know that’s the opposite of what you should feel about the character), Peaky Blinder's Thomas Shelby and a menagerie of anime characters like Satoru Gojo (Jujutsu Kaisen), Yujiro Hanma (Baki) and Goku and, really, any male character that is just a little bit cool. TWO: The man in the suit is a minor Family Guy character called Tom Tucker. The reference comes from a scene where Meg sees him walking through her school and says "It's Tom Tucker from the news!” We then cut to her POV, where he is walking in slow motion with soft romantic music swelling and birds chirping, the whole love-at-first-sight trope. Then a camera crew member off-screen yells "hurry up Mr. Tucker," and we get to see he is not walking in slow motion because Meg is infatuated, he is just walking that slowly in real life. Only the music and the birds were in her head. The gag is built on the viewer recognizing the romantic-slow-motion trope, briefly accepting it as the scene's reality, and then being shown that we (and Meg) projected the trope onto what is actually just a man walking very slowly. HA! The original gag is already about projection: a neutral image (slow walk) being assigned an external meaning (romance) by a viewer's pattern-recognition. This is what makes the edit-culture appropriation work so well. The clip got stripped of its context, paired with phonk and text overlays (AURA or “Me and the boys going to detention”), and retroactively assigned a new meaning, only this time it’s the cinematic nonchalant walk, the slow deliberate gait that signifies a man who knows he's the most important thing in the frame (ta la any 1980s Schwazerneggerian action movie hero walking away from an explosion without looking back, every yakuza boss entering a room, every western gunslinger approaching the duel). The edit is ostensibly projecting a trope onto a neutral image. The first projection was romance; the second projection is aura. Family Guy clips and gifs are easy to access and repost, which makes it a readily available and easy to use building block. The show has, through sheer volume of output and over two decades of YouTube and cable TV saturation, become a kind of public-domain visual library, a default vocabulary that any editor can pull from knowing the audience will recognize the source without having to be told, and we can just keep loading meaning onto it. THREE: The character in the background is Tom, from Tom and Jerry, doing a pose made famous by an iShowSpeed fan who encountered him during a livestream. By quickly and correctly identifying Speed by his full legal name ("Darren Jason Watkins Jr"), she showcased herself to be a true fan, which he responded to with his characteristic exaggerated reactions. The pose the girl hit, with the knowing look to the camera, produced a perfect “aura moment” complete commitment, zero irony, the unshakeable conviction that what she was doing was the coolest possible thing to do. As a result, the clip then got endlessly edited with "aura 🥶🥶🥶" captions to canonize it. Aura, in this lexicon, is not granted by the universe; it is summoned by the person's own belief that they have it and by displaying the correct attitude. Tom is also dressed as the previously mentioned Thomas Shelby from Peaky Blinders, which is itself a double signifier. The name match (“Thomas”, get it?) and the suit-and-flat-cap costume turn the cartoon cat into a stand-in for the perhaps most used "high-aura" male character of the past decade, the brooding gangster patriarch whose every cigarette drag has been set to phonk, cinematic scores and electronic music a thousand times over. On top of that, he is made entirely out of chrome, a popular trope of asking ChatGPT (one of the few AI tools people have easy and broad access to) to render things out of very high quality materials to indicate "rarity" or "status" like diamonds, platinum and etc. A sign that itself descends from a longer lineage of in-game cosmetic rarity tiers (League of Legends, MMOs, various skin economy freemium game, the Fortnite battle pass, the Pokémon shiny, dacha games and etc) where material finish is the visual shorthand of value. So "chrome" or "platinum" Tom on top of all previous signifiers signals a “maximized” or “maxxd” version. The image is suppose to invoke the superlative highest possible tier, rarest-drop, legendary-rarity version of aura, the way a kid in a playground would describe their dad as not just strong but the strongest in the world. FOUR: Finally, the background black hole calls back to the original Tom image, where he is surrounded by the universe itself, having ascended. The character has transcended the diegetic frame of his own cartoon and now exists at a cosmological scale, with the black hole standing in for the kind of unmotivated, vibes-based "cosmic" imagery that has become the default background for any video trying to signify that something Big is happening (the same visual motif that has powered comic book characters, anime transformations, video game power ups and anything wants to feel grandiose or “epic” without specifying what about). The black hole means significance in the abstract. At this point I think you understand the mechanism at play here. None of these references resolve to a stable meaning on their own. Tom Tucker is “cool” only in the very short context in which his image served as a substrate; he was convenient footage to pair with a song, and the absurdity of doing an "aura edit" on such a minor, strange character scene makes it all funnier and easier to share. Tom-the-cat is doing the aura pose > the aura pose comes from the iShowSpeed girl > the iShowSpeed girl was cool because she correctly played her part in an established bit of a large streamer with the correct timing and theatrical flair > the bit was cool because it was a shared convention unified by a popular central streamer figure > the convention existed because phonk edits had already trained this exact scenario to be read as confidence-plus-detachment as aura > the chrome finish points to AI image generation quirks > the AI image generation style can be mapped to gaming visual rarity shorthands; the gaming rarity tiers point to a much older logic of precious-metal-as-status. Each step on the referential chain is propped by the one behind it, and the one behind it is propped up by the one behind that, so on and so forth. There is no natural endpoint, the entire structure functions more akin to a network than a linked list. If you stop at any single point and ask "but why is particular signifier cool or funny or interesting”, the answer is always "because of the thing behind it.” It’s hyper-citation, Here, what matters is the structure of the whole rather than the content. This is structure is what I mean by infinite referential mirrors. The rate at which a concept is referencing, remixing and calling back to another is what’s interesting. In other words, It’s the velocity that matters. The chain of recognitions, each "I get that reference," and the cumulative effect of getting six references stacked on top of each other a short span of time gives you the feeling that you are participating in something dense and alive, because it allows you to recognize the shared meme ecosystem of the platform that you are participating in, even if only a glimpse of it. You are inside the culture rather than outside it. The brainrot-curious reader who watches this video and feels nothing, has “failed” to understand the joke because they are outside the hall of mirrors I am describing. You can only get the magic if you step in and start counting the reflections: the song, the suit, the cat, the chrome, the black hole, the transitions the video uses. You are looking at connected parts of this network of symbols and at the speed at which one image hands you off to the next. The entire thirteen-second clip is functioning as a single compressed referential payload that decompresses in the viewer's head into a small private essay exactly like this one. The video allows you to recognize yourself as someone capable of decoding it, and that recognition is the reward. That’s why media like this goes viral.show more

Would you dare chase justice while swinging thousands of... feet above traffic below? Seedance 2 prompt on BudgetPixel AI Create a 15-second ultra-realistic cinematic high-altitude tether-swinging action sequence in strict 16:9 landscape, native 4K, 24fps. Use one seamless continuous drone follow shot with no cuts, no teleporting, and no time skips. The motion must feel physically continuous, dynamic, thrilling, and always readable. REFERENCE: image1 = main heroine reference. Use image1 as the strict identity reference for the heroine’s face, facial proportions, hairstyle, hair color, body proportions, age impression, outfit, shoes, accessories, styling, and overall recognizable appearance. Preserve her identity consistently throughout the whole video. Keep her as an original urban tether-swinging action heroine. Do not redesign her into a branded superhero character. Do not add franchise logos, copyrighted chest emblems, or recognizable third-party superhero symbols. CORE CONCEPT: This is an original urban tether-swinging action short. The heroine moves through the city using thin wrist-launched fiber lines, momentum, wall-running, rooftop movement, and real parkour body mechanics. She travels at high altitude between tall buildings, then lands on a rooftop, defeats one villain, and ends with a powerful shout. HOOK: The first second must be an instant scroll-stopping hook. Start with the heroine already falling backward off the edge of a very tall skyscraper. For a brief moment, it looks like she may actually fall. Then she instantly fires one thin tether line upward, it catches, and her body snaps into a huge high-altitude swing between buildings. STYLE: Photorealistic live-action realism. Premium cinematic action quality. Bright daytime Los Angeles atmosphere with realistic haze, realistic motion blur, realistic fabric movement, realistic body weight, real inertia, and practical environmental interaction. The sequence should feel like a premium action movie shot, not animation, not a game cutscene, and not a cartoon. CAMERA: One uninterrupted drone follow shot only. No cuts. No resets. No jumpy edits. No impossible viewpoint teleporting. The drone camera must stay wide enough to show both the heroine and the environment together. It may tilt, roll, arc, climb, and dive with the motion, but it must always feel like one real flying camera tracking her. Keep the framing intense and fast, but always readable. ENVIRONMENT: Bright daytime in a dense modern city inspired by Los Angeles and Hollywood. Show: - tall glass and concrete high-rises - rooftop edges - billboards and signage - palm trees far below where visible - busy roads and traffic far beneath - bright haze and sunny atmosphere - believable large-scale urban depth The action must happen mainly high above the street between tall buildings, not low near the ground for most of the video. VILLAIN RULE: Only one villain appears in the entire video. The villain is one adult male enemy only. He wears a fitted black suit, black shirt, and black shoes. No mask, no armor, no fantasy costume. He appears only in the rooftop combat section. Do not generate multiple enemies. Do not generate background enemies. Do not clone or duplicate the villain. ACTION RULES: The heroine’s movement must feel hand-and-foot driven, not magical floating. She must visibly: - fire thin tether lines from her hands - swing with real tension and momentum - push off building surfaces - run along walls with clear foot placement - absorb landings with bent knees - sprint briefly on a rooftop - fight one villain using fast practical action - finish in control Her body mechanics must stay realistic: - core engaged during swings - arms extended or flexed according to line tension - knees bend on landing and push-off - visible transfer of momentum between swing, wall-run, leap, landing, and combat Do not make her hover weightlessly. Do not make the tether line act like magic. Do not make her float in place unnaturally. EMOTIONAL ARC: - opening: shock and immediate control - mid-swing: intense focus - rooftop approach: rising confidence - rooftop fight: sharp aggression and urgency - ending: victorious adrenaline and fearless release AUDIO: No music. Effects and ambience only: - rushing wind - tether firing and tension snaps - air pass-by - foot impacts on walls and rooftop surfaces - city ambience far below - distant traffic and horns - fabric movement - breathing - one short rooftop fight impact sequence - one powerful final shout from the heroine TIMELINE: 0:00–0:01 Start from black into a shocking rooftop-edge fall. The heroine is already dropping backward off a skyscraper. For a fraction of a second it feels dangerous and uncontrolled. She immediately flicks her wrist and fires one thin tether line upward. It catches instantly. The drone yanks back and reveals the start of a huge swing. 0:01–0:04 The heroine swings at high altitude between tall buildings. The city is far below. Her body forms a long aerodynamic arc, one arm holding tension through the line, legs trailing cleanly behind. The drone follows wide and slightly rolled, emphasizing height, speed, and scale. 0:04–0:06 At the swing’s forward rise, she releases the line and redirects toward a nearby glass-and-concrete building. She plants onto the wall and runs across it diagonally with 4 to 5 clear steps. Her feet hit the wall with visible force. Her jaw is set and focused. The drone stays close but wide enough to keep the city depth visible. 0:06–0:08 She pushes explosively off the wall, fires a new tether line, and swings again through a narrower corridor between tall buildings. The movement should feel faster and more controlled now. She threads cleanly through the urban gap and angles toward a rooftop landing zone ahead. 0:08–0:09.5 She releases the line and lands hard but controlled on a rooftop. Knees bend deeply to absorb impact. She rolls into a short forward recovery step, then rises immediately into a sprint across the rooftop surface. 0:09.5–0:12 One villain in a black suit steps in to stop her. Keep only this single enemy. The heroine engages him in a short, sharp rooftop fight. She avoids his first attack with a quick slip, grabs or redirects his arm, drives one fast body shot or elbow, then uses his off-balance momentum to throw or slam him down onto the rooftop. The fight must feel quick, practical, and decisive. Real impact reactions. No slow choreography. No extra enemies. 0:12–0:13.5 The villain is down and no longer a threat. The heroine steps past him and moves to the rooftop edge. Wind moves her hair and outfit. She looks outward over the city with intense adrenaline and triumph. 0:13.5–0:15 At the rooftop edge, she turns slightly toward the open skyline, lifts her chest, and shouts one powerful final line: “가자!” She immediately launches forward off the rooftop edge into another leap just as the clip ends. End on the feeling that the action is continuing beyond the cut. IMPORTANT RULES: - one continuous drone follow shot only - no cuts - no teleporting - no cloning - no multiple villains - only one black-suited villain - no giant web canopy - use only thin functional tether lines - no franchise logos - no copyrighted chest symbols - preserve the uploaded identity consistently - action must stay realistic and momentum-driven - rooftop fight must be short, sharp, and readable - final shout must be “가자!” NEGATIVE: no cartoon, no anime, no game-engine look, no fake CGI stiffness, no floating, no weightless hovering, no random disconnected acrobatics, no city-wide web canopy, no superhero logo, no copyrighted spider emblem, no extra enemies, no masked villain, no armored villain, no cloned villain, no empty city, no dark night setting, no rain, no slow motion, no blurred identity, no outfit drift, no face drift, no extra limbs, no broken anatomy, no unrealistic hand deformation, no collision with buildings during swings, no messy unreadable fight.show more

AI Is Moving Beyond “Generating Videos” — Toward “Generating... Worlds” Over the past two years, AI video models have advanced at an astonishing pace. From Runway and Pika to Sora and Veo, AI-generated videos have become increasingly realistic and more consistent with the physical laws of the real world. Many people believe the next objective is simply to generate videos that are longer, sharper, and more lifelike. But if we take a step back, we can see that the real transformation is not happening in video itself. It is happening in world models. What Is a World Model? In 1943, psychologist Kenneth Craik proposed an idea that would influence artificial intelligence research for decades. He argued that the human brain does not merely react to the outside world. Instead, it maintains an internal model of how the world works. Because we have this internal model, we can predict the outcome of an action before we actually take it. Before crossing a road, we estimate whether a car will pass by. Before catching a ball, we predict its trajectory. These abilities come from continuously simulating the world in our minds, rather than relying entirely on trial and error. This idea later became known by a more formal term: World Model. A world model does not describe a single image or a fixed video clip. It is an internal representation capable of continuously simulating the rules and dynamics of the real world. Why Is AI Research Turning Toward World Models? Because predicting “what comes next” is becoming increasingly central to how AI systems work. Language models predict the next token. Image models predict the next step in the denoising process. Video models predict the next frame. A world model, however, attempts to predict something broader: What should the world look like in the next moment? In 2018, David Ha and Jürgen Schmidhuber proposed in their paper World Models that an intelligent agent could first learn a model of the world, and then use that internal model to plan its actions. The Dreamer series later demonstrated that many complex tasks could be learned by training agents inside an “imagined world.” At the same time, the development of video models such as Sora and Veo led researchers to another realization: A model capable of continuously generating video has already learned, at least implicitly, many of the rules governing the real world. As a result, these two research directions have gradually begun to converge. But Video Is Not Yet a World This is where the distinction is often misunderstood. For a world model to support meaningful real-time interaction, it must solve several critical problems. Most video models today are essentially answering one question: What should the next frame look like? A true world model needs to answer much more: What happens if I take one step forward? If I walk behind a building and then return, will the building still be there? If I suddenly change the camera angle, will the entire space remain consistent? If I enter a command such as: “Summon a dragon.” Will the world respond immediately? In other words, a world model must do more than generate content. It must understand space. It must understand time. It must understand causality. And it must understand interaction. Moving from watching to participating is where the real difficulty of world models begins. World Models Are Entering the Interactive Era One of the latest attempts in this direction is Alaya World, recently open-sourced by Alaya World, or Alaya Lab. Instead of generating a fixed video clip, it generates a world that users can explore in real time. Users can begin with text, an image, or a video, enter the generated scene, move freely through it, and introduce new prompts at any moment during generation. The world responds immediately. According to the publicly released information, Alaya World provides: Real-time streaming generation at 720p and 24 FPS Stable continuous exploration for more than one minute The ability to switch prompts and trigger skills or events during generation Model weights and inference code released under the Apache 2.0 License Training code and datasets planned for future release What makes these capabilities important is not simply the technical specifications. It is that the generated “world” can now support continuous interaction. The official demo shows that users can genuinely control, transform, and explore the generated environment. AI Is Evolving From a Tool Into an Environment Over the past few years, most discussions around AI have focused on content generation. Generating text. Generating images. Generating videos. But world models raise a fundamentally different question: Can AI generate an environment that people can inhabit, explore, and continuously evolve? If the answer is yes, the impact will extend far beyond video generation. Game development, robotics training, embodied intelligence, digital twins, virtual production, and many other fields could be transformed by the development of world models. World models are still at a very early stage. Yet from Craik’s proposal of an internal mental model more than eighty years ago to the emergence of today’s interactive world-generation systems, a clear evolutionary path is beginning to take shape. Perhaps what AI is ultimately learning has never been limited to images, videos, or language. Perhaps it is learning the world itself. References GitHub: Technical Report:show more

Hold up, here is the prompt: works with almost... any model. enjoy :) Role & Objective: Act as an Elite UI/UX Front-End Engineer specializing in Apple-tier micro-interactions and advanced CSS. Your task is to program a perfectly centered navigation bar in a strictly SINGLE HTML file containing all HTML, vanilla CSS, and vanilla JavaScript. No external libraries or frameworks (No Tailwind, React, etc.). Design Concept - "True Liquid Glass": CRITICAL INSTRUCTION: Do NOT generate standard, flat "glassmorphism" or basic frosted glass. I require a physically accurate "Liquid Glass" aesthetic. It must look like wet, poured clear resin, combining the high-gloss specular highlights of classic macOS Aqua with the volumetric spatial depth of modern Apple VisionOS. 1. The Liquid Glass Material & Lighting (CSS): - Deep Refraction: Use `backdrop-filter` with extreme blur (e.g., 50px) and over-saturation (200%). - Specular Highlight: Create a curved, semi-transparent white gradient on the top half using a pseudo-element (`::before`) to simulate a hard light reflection on a wet, rounded 3D surface. - Caustics & Volume: Use multi-layered inner and outer `box-shadow` properties to simulate light refracting at the bottom edge and casting a realistic ambient drop shadow. - Interactive Glare: Implement a soft radial-gradient spotlight inside the glass that dynamically tracks the user's mouse cursor (X/Y coordinates) using JavaScript and CSS variables (`mix-blend-mode: overlay`). 2. Navigation Layout & Elements: - Center the pill-shaped navigation bar perfectly in the middle of the viewport. - Include 3 main navigation items with minimalist, inline SVG stroke icons and text labels: "Home", "Call", and "List". - Add a subtle vertical divider line after the main buttons. - Next to the divider, add a Dark/Light Mode toggle button containing inline SVG Sun and Moon icons. 3. Animations & "Apple Magic": - Sliding Active Pill: Create a solid background "pill" that sits *behind* the active navigation item's text/icon. When a different item is clicked, this pill must dynamically recalculate its width and slide to the new position. - Spring Physics: The sliding transition MUST use an exact Apple-style bouncy spring easing curve (e.g., `transition: all 0.5s cubic-bezier(0.34, 1.2, 0.64, 1)`). - Tactile Feedback: Buttons and icons must physically press down slightly (`transform: scale(0.92)`) when clicked (`:active`). - Theme Switch: The Sun and Moon icons must smoothly rotate, scale, and cross-fade during the transition. 4. Background Environment (Crucial): - Glass needs light and color to refract! Create a full-viewport, smoothly animated mesh gradient background using 3 large, heavily blurred, floating color blobs. - Implement full Dark/Light mode logic using CSS variables (`:root` and `[data-theme="dark"]`). Toggling the theme must seamlessly transition the background blob colors, glass opacity, shadow intensity, and text colors. Output ONLY the pristine, production-ready code. Prioritize maximum visual fidelity and silky-smooth 60fps animations.show more

MiniMax H3で清涼飲料水のCM動画を生成。 映像スタイルはモーショングラフィックス。 もちろん、プロンプトはClaude Codeに全部書いてもらっています。 プロンプトを書いてもらう方法は引用元で紹介しています😃 今回使用したプロンプト↓ ----------------- integrated_multimodal_description:... Create a complete 15-second Japanese flat-illustration motion-graphics commercial for a bottled mineral water in a clean 16:9 composition. The bottle is the hero of every shot: it appears within the first second, stays large and centred, and its pale blue label reading the exact Latin characters "AOI WATER" is sharp and readable in every frame it occupies. Use friendly 2D vector illustration, thick navy outlines, flat solid colour fills, and springy cutout animation with snappy overshoot easing. Compact palette of warm white, deep navy, bright aqua, deep blue and saturated yellow, where yellow carries the summer heat and aqua carries the cold refreshment. A fictional young Japanese actress supports the product, drawn as a flat vector icon with a round friendly face, simple dot eyes, a curved smile, a glossy black chin-length bob, a white short-sleeved shirt over a navy tank top; she keeps the same design in every shot. No photorealism, no 3D rendering, no gradients, no drop shadows, no browser interface, no screen-recording artifacts, no player controls. [Shot 1] Begin on a saturated yellow field. A large white sun pulses twice at the top of the frame and wavy heat-haze lines rise from the bottom edge. At 00:00.800 a tall white bottle of AOI WATER shoots up from the bottom edge into the centre of the frame, overshooting and settling at eighty percent of the frame height, and a single white flash frame fires on the impact. Three aqua ripple rings expand from the bottle and the small navy headline assembles word by word at the top: "この夏、あつい。" [Shot 2] At 00:02.400, a wave of bright aqua water sweeps across the frame from the left and washes the yellow away. The bottle stays centred and rotates a quarter turn to show its side. Its pale blue label assembles letter by letter into "AOI WATER" with a thin white underline drawing beneath, six round condensation drops pop onto the glass one after another, and two flat ice cubes tumble down past it. [Shot 3] At 00:05.000, a deep blue field wipes in from the right. The bottle tilts on the left and a clear aqua stream pours in a smooth arc into a tall glass on the right; three flat ice cubes drop into the glass one at a time and bounce, throwing a radial burst of white droplets on the third. Two white snowflake marks pop in beside the glass and the kinetic word "キンッ。" stamps in with a small shake. [Shot 4] At 00:07.600, the deep blue flips to aqua in a hard shape wipe. The actress stands centre frame holding the bottle high, tips it and drinks; a column of aqua fills her outlined body from top to bottom in three quick pulses, one per gulp, and white radial speed-lines snap outward on the third. The kinetic word "ごくっ" pops in beside her cheek and the bottle stays fully visible in her hand. [Shot 5] At 00:10.200, a saturated yellow field wipes in from the bottom. The actress jumps once with the bottle raised above her head, her bob and shirt lifting, while flat aqua and white circles, triangles and arcs burst outward from her in a ring and three ripple rings expand from her landing point. The headline assembles in two stages: "夏に、" then "負けない。" A thick yellow underline strikes beneath the second phrase. [Shot 6] At 00:12.600, cut to a calm warm-white end card with generous negative space. The bottle slides to the centre and scales up slightly, its "AOI WATER" label square to the viewer and perfectly readable, with a ring of six aqua droplets popping outward around it one by one. The logotype "AOI WATER" reveals in deep navy beside the bottle with a small aqua droplet mark, and the smaller line "アオイ・ウォーター" fades in beneath it. A calm, bright young Japanese woman (S1) says in an off-screen voiceover: [Japanese] 夏に、負けない。 The end card holds sharp, centred and readable until exactly 15.000 seconds. Throughout: flat vector motion graphics only, one palette and one line weight, the same bottle design and the same character design in every shot, and something on screen is always moving. All Japanese text in clean gothic type and the label and logotype in clean geometric capitals, correctly formed and static once placed, with no subtitles of the spoken line and no other lettering. overall_soundscape: A deep whoosh and a short impact thud land as the bottle shoots up into frame, followed by three soft ripple taps. An airy whoosh runs under each colour wipe and a liquid sweep carries the aqua water across the frame. Rounded pops mark the sun pulses and each condensation drop, two ice cubes clink as they tumble, and a bottle cap cracks open before a clear pouring stream and three ice cubes landing in a glass. Three deep gulps and a quick refreshed exhale carry the drink, a light whoosh and landing thud carry the jump, and a clean shimmering chime rings on the logotype. non_diegetic_music: Generate an original 15-second bright Japanese commercial cue at 128 BPM using marimba, ukulele upstrokes, hand claps, a warm round bass and a light drum kit, playing without a gap from the first frame to the last. Open with a single accent hit as the bottle lands at 00:00.800, add the full kit as the water sweeps in, thin to marimba and claps under the pour, push to the loudest point with a rising fill under the jump, drop under the spoken line, and resolve on one clean sustained chord at 15.000 seconds. No singing and no lyrics.show more

Release: LichtFeld Studio v0.5.3 is out! With 316 commits... merged into master, this release is a huge step forward for LichtFeld Studio. What's new in v0.5.3 • Vulkan viewer/rendering migration: New Vulkan viewport pipeline, pass graph, VkSplat renderer, Vulkan point-cloud renderer, 3DGUT/VkSplat support, improved alpha/depth composition, tighter CUDA/Vulkan interoperability, and device matching on multi-GPU systems. • RAD + LOD workflow: Added RAD file export/import, RAD LOD viewer, Spark-style GPU LOD selection, GPU-driven page prefetching, a bounded VRAM pool, out-of-core PLY-to-RAD LOD conversion, and RAD import/export speedups of approximately 3–5×. • HiGS / macro-tile inference: Added a macro-tile inference path for the Vulkan viewer, including macro sorting, batched rasterization, composition, and capacity management. • Asset Manager: Added and significantly enhanced the Asset Manager with thumbnails, SH information, faster synchronization, import-from-URL support, docked mode, data-loading popup integration, and general UI cleanup. • Viewport export: Integrated viewport export directly into the application as a toolbar/overlay tool, added fast render_view_u8-style readback paths, fixed high-resolution clipping issues, improved orthographic export parity, resolved 32K image/video export problems, and added post-export GPU resource cleanup. • Selection and tooling: Added and reworked selection toolbar controls, the Select menu, ring selection, color eyedropper, distance-from-center selection, faster point-cloud and zoomed-out selection paths, Vulkan measurement tool fixes, and drag-and-drop scene graph improvements. • UI/RmlUi platform work: Major RmlUi redesign efforts, hot reloading for RML/RCSS/Python UI files, reactive UI/store integration, viewport toolbar flyouts, improved histogram interactions, input settings enhancements, custom TRS gizmos, and numerous panel, tooltip, and localization fixes. • Windowing and UX: Added borderless window support, title bar drag/maximize/restore behavior, work-area-aware maximize functionality, resize responsiveness and performance improvements, and DPI/UI scaling fixes. • Training and data features: Added adaptive depth loss and depth gradients for the EWA rasterizer, mask loading/application fixes, a new combined Ignore+Segment mask mode, --add-splat, --freeze, improved checkpoint and training state handling, and training speed and VRAM optimizations. • COLMAP/equirectangular support: Added SPHERICAL/equirectangular camera model support and canonical EQUIRECTANGULAR handling, along with fixes for undistortion and camera export. This release will be available to all supporters as a Windows binary via approximately in about an hour. At the same time, LichtFeld Studio remains committed to being free and open source under GPLv3 and can also be built directly from source. Please consider supporting the ongoing development of LichtFeld Studio through a donation via the portal or the supporters page. Thank you to everyone who supports this project financially, contributes code, reports bugs, provides datasets, helps with the website, and contributes in countless other ways. A special thank you to our foundational sponsor Core11 and our Gold Sponsor Volinga, whose support has helped make the current state of the software possible. Thank you as well to every donor and to all of our new Bronze Sponsors. Looking ahead to v0.6 For the next major release, work will focus primarily on stability and user experience. This includes improved cleanup workflows and the ability to modify training parameters while training is in progress. I would also like to introduce a native .licht project format that allows users to save and restore their complete editor state. You can find links to our main sponsors below. Please also visit our website to discover all our Bronze Sponsors. Hint: We do not yet have a Silver Sponsor or Platinum 😉show more

this gemini gem will help you create "Video2JSON" prompt... here is the step by step workflow with copy paste method. go to gemini-> click on gems-> click "new gem" button then fill these details (just copy/paste or tweak it as per your needs) - {once you filled all of these details, click on save, and then upload your video you want to generate a JSON prompt for, then submit it with this word: "run" or left it empty} gem name: Video2JSON description: this will help me generate video to detailed json prompts capturing maximum details. instructions prompt: **Role:** You are **Video2JSON**, a high-precision computer vision engine. You do not talk, you do not summarize playfully. You strictly process video inputs into detailed, structural JSON data. **Objective:** Extract every visible detail, specific identity, physical interaction, and technical specification from the video to create a lossless text representation of the footage. **Analysis Requirements (Critical):** 1. **Subject Fidelity:** Never use generic terms. * *Bad:* "A kitten." * *Good:* "A Calico kitten with distinct black patches on the ears, a white muzzle, and orange spots on the back." * *Bad:* "A car." * *Good:* "A silver 2020s sedan with a dented rear bumper." 2. **The "Fourth Wall" (Physics):** You must analyze how the subject interacts with the camera/viewer. * Look for: Tapping the lens, breathing on the glass, eye contact, stepping over the camera, or distinct fisheye distortion boundaries. 3. **Visual Density:** Describe textures (e.g., "shag carpet," "glossy plastic") and lighting behavior (e.g., "reflections in the cat's eyes"). 4. **Temporal Precision:** Track changes in mood or action accurately via timestamps. **JSON Schema:** Output ONLY this JSON structure. Do not change the root keys. ```json { "metadata": { "estimated_duration": "String", "genre": "String (e.g., POV, Cinematic, Surveillance, Vlog)" }, "visual_style": { "camera_lens": "String (e.g., Fisheye 8mm, Standard 50mm, Telephoto)", "lens_distortion": "String (e.g., Heavy circular vignette, barrel distortion, rectilinear)", "lighting_type": "String (e.g., Warm tungsten, harsh flash, soft daylight)", "color_palette": ["List specific hex codes or color names"] }, "subject_analysis": { "main_subject_identity": "String (General ID, e.g., Kitten)", "subject_specific_details": "String (CRITICAL: Detailed markings, fur patterns, specific clothing logos, facial features)", "subject_texture": "String (e.g., Fluffy fur, metallic skin, wet fabric)" }, "spatial_dynamics": { "environment": "String (Detailed room/scene description)", "camera_interaction": "String (How the subject interacts with the lens: e.g., 'Paw taps the glass surface', 'Sniffs the lens')", "camera_movement": "String" }, "timeline_breakdown": [ { "time_segment": "00:00 - 00:0X", "action_detailed": "Micro-description of movement", "focus_point": "What is the camera strictly focused on?" } // Repeat for key movements ] } Note: return the final output in a code block.show more

Fast food deserves fast production too. This KFC-style commercial... was built with Nano Banana 2 + Seedance on Creatify AI Prompt: [16:9 Cinematic Aspect Ratio | 15 Seconds | Ultra-Realistic, High-Production Ad Film] IMPORTANT CHARACTER CONSISTENCY NOTE: Only ONE single consistent character appears throughout the entire video the same uploaded reference woman in every single frame, from 0s to 15s. Do not duplicate her, do not generate a second version of her, and do not let her face, body proportions, or identity shift or morph at any point. Her facial features, face shape, skin tone, and eye color must remain exactly identical in every frame. WARDROBE & CONTINUITY LOCK: She wears a mustard-yellow knotted crop top, high-waisted denim jeans, and a light beige apron tied around her waist, sleeves slightly rolled up, hair tied in a loose bun with a few loose strands. The apron stays tied on for the entire video it must NOT disappear, change position, untie, or reappear differently in any shot. Her hairstyle, clothing, and accessories must remain 100% consistent from the first frame to the last, with no sudden changes in outfit, hair, or styling between cuts. NO GLITCH / NO ANOMALY RULE: The video must have zero visual glitches, no flickering artifacts on her body or face, no extra limbs, no duplicated objects, no morphing hands, no random object teleportation, and no unnatural warping during transitions. All elements must stay spatially consistent and appear/disappear only through natural, intentional actions never abruptly or without cause. VOICE & DELIVERY NOTE: She speaks in a natural British (Received Pronunciation / soft London) accent throughout. Her voice should carry real emotional texture not flat or robotic with natural breath, subtle vocal fry when tired, and a genuine laugh, not a scripted one. Pitch and volume should rise and fall based on her emotional state in each moment: 0–3s line ("I still have so much left to do..."): Low volume, low pitch, tired sigh-like tone, trailing off slightly at the end sounds drained and flat, almost muttered to herself. 3–5s line ("Okay, one bite won't hurt."): Slightly hushed, playful, a small guilty smile in her voice, pitch lifts a touch on "won't hurt" like she's convincing herself. 5–7s (no dialogue): Only a sharp, involuntary inhale/gasp sound as she bites breathy, high-pitched micro reaction, almost startled. 7–11s line ("Wait... did that seriously just happen?"): Voice rises in pitch and pace, breathless with disbelief, volume increasing toward the end of the sentence, genuine excitement creeping in. 11–15s line ("This isn't just chicken. This is cheat-day magic."): Confident, warm, higher energy and volume than any previous line, a light laugh embedded before she speaks, ending on an upbeat, slightly playful high note for "magic" full smile audible in the voice. PRODUCT NOTE (Bucket Appearance): The KFC packaging is a medium-sized cylindrical paper bucket, wider at the top than the base. It is white with two bold vertical red stripes on opposite sides. Centered on the front is the classic black-line illustration of Colonel Sanders' face bald head, glasses, thick mustache, and beard with a black bow tie beneath it, and the word "KFC" printed in bold black uppercase letters below the illustration. The bucket has a slightly textured, matte paper-cup finish with a rolled/folded rim at the top edge. It is filled generously with golden-brown, deep-fried crispy chicken pieces piled slightly above the rim, with visible crispy, ridged breading texture and light steam rising from it. This exact bucket design, color, size, and branding must remain identical and consistent in every single shot throughout the video. 0–3s: A bright, airy kitchen on a sunny morning white marble countertops, open wooden shelves stacked with jars, a large window above the sink letting in soft natural light, and fresh vegetables scattered across a cutting board. The young woman stands at the counter, visibly tired, chopping vegetables slowly for a salad, occasionally pausing to rub her wrist, surrounded by unwashed dishes, a grocery list stuck to the fridge, and a timer ticking on the oven for something else she's cooking. She mutters under her breath (per voice note above), "I still have so much left to do..." 3–5s: A knock at the door she wipes her hands on her apron (apron remains tied throughout), walks over, and returns holding the KFC bucket exactly as described above, light steam rising from the freshly delivered chicken. She sets it on the counter beside her half-made salad, lifts a golden, crispy fried chicken leg piece toward the camera. She grins and says softly (per voice note above), "Okay, one bite won't hurt." 5–7s: Extreme macro slow-motion shot as she bites into the crispy skin the crunch detonates with deep, cinematic intensity. The impact sends a burst of energy through the kitchen: the curtains above the sink billow outward, the vegetable peels and grocery list flutter into the air, the oven light flickers, and golden light particles swirl around her. Her hair sways loose from its bun in the sudden gust as time seems to hold still for a beat. Her outfit and apron remain exactly as before. Only her sharp inhale/gasp sound (per voice note above) no spoken dialogue. 7–11s: The energy settles into a vibrant, glowing atmosphere. The kitchen comes alive on its own vegetables chop themselves into neat piles, the salad bowl assembles itself, the oven timer stops with a satisfying ding as the dish inside finishes perfectly, and dishes stack themselves clean in the rack. She watches, stunned, and says (per voice note above), "Wait... did that seriously just happen?" Bold animated text sweeps across the bottom third of the frame: "Kitchen: Sorted." She remains the same single character in the same outfit throughout. 11–15s: She laughs, looks at the chicken leg piece in disbelief, then confidently raises the same KFC bucket toward the camera. The camera pushes in with bright, glossy cinematic lighting as she smiles wide and says (per voice note above), "This isn't just chicken. This is cheat-day magic." The scene ends on the same KFC bucket glowing in warm sunlight, with the logo appearing top-center and the tagline sliding in from the side: "KFC One Crunch. Zero Effort."show more

how to prompt undetectable ai shots while designing a... running scene, first think about these 3 basic questions: how does the camera move? what is it looking at? where does it stop? a good motion prompt is really just a timeline it needs to follow real-world physics, and it needs to carry story at the same time 1. start with the narrative goal of the shot camera movement is not just movement it is the storytelling so before writing the prompt, define what the shot is trying to do for example, in a 15-second one take, the goal could be: follow the female lead laterally while she runs, to build speed and tension then briefly reveal the people chasing her then let the camera hesitate for a moment and find her again that small “lose and recapture” moment adds spatial depth and makes the chase feel more intense 2. build a clear space for the camera to work in if the space is vague, the shot gets messy very fast i like breaking the scene into layers so the model knows where everything belongs foreground: passing objects, environmental motion main subject layer: the woman running midground: cafe tables, pedestrians, the people chasing her background: the vanishing point of the street, and the entrance to the pedestrian area once the space is clear, the camera has a stage to move through 3. describe motion like a physical process a good moving shot has to respect inertia if the movement feels weightless or too perfect, it instantly feels fake so instead of using broad words, describe a chain of actions the camera can actually perform what accelerates what slows down when it adjusts when it slightly overshoots when it catches itself again that little bit of imperfection is usually what makes it feel real 4. use focus as part of the storytelling in a one take, focus is one of the best ways to guide attention you can design moments where focus shifts with intention for example: focus briefly drifts from the chasers’ faces, passes beyond them, lands on the woman in the distance, then quickly pulls back again it feels like a small mistake, but that’s exactly why it works it simulates a camera operator re-evaluating the subject in the middle of a fast-moving shot that kind of temporary focus loss and recovery adds a lot of immediacy and documentary feeling 5. build the sound space with the camera sound should move with the shot when the camera turns toward the chasers, the woman’s breathing should fall deeper into the sound field, while the chasers’ footsteps and breathing move to the center when the camera finds the woman again, her breath becomes the main sound again that shift in audio perspective helps the scene feel much more immersive it’s not just about what we see it’s also about where we feel the scene from 6. use negative constraints to stop common ai mistakes this part matters a lot i usually add clear “don’ts” at the end to stop the model from breaking the shot for example: no cuts no teleporting zooms no sliding characters no body fusion no floating props the travel bag must keep believable weight and inertia these negative constraints act like guardrails they help keep the result inside a believable physical world for me, the core of a strong motion prompt is simple: organize space, camera, focus, action, and sound into one executable timeline that’s really the difference instead of prompting a vague feeling, you’re designing a physical process and that’s usually what helps ai generate a moving shot that feels coherent, grounded, and full of tensionshow more

i analysed 1,000 TIKTOK slideshows for consumer apps... here's... what i found something that change how you run your app/saas campaign since. most people assume the slideshow with the most views brings in the most installs. i tracked every metric i could pull across 1000+ posts. views, saves, comment sentiment, slide count, where the app got mentioned in the sequence, caption length, niche. the data told a different story. the highest converting slideshows rarely broke 100k views. some sat under 20k. meanwhile some of the viral ones with 2m+ views converted under 0.05%. viral and profitable are two different games. here's the pattern that separated the winners. the format was almost always: content, content, content, content, ad warmup, app push. 4 to 6 slides that feel like normal lifestyle or niche content, no mention of the app at all. then one slide near the end where the product shows up, framed as part of the story instead of an ad. apps that opened with the product on slide 1 underperformed almost every time. the accounts winning were disguising the app inside content people were already scrolling for anyway. travel aesthetics, interior inspiration, "things nobody tells you about x" hooks, niche opinions. the second pattern was volume, not virality. accounts running 8-10 tiktoks, posting 2x a day, same slide formats with fresh variations each time. 90% of posts stayed under 5k views, most even under 300. a handful hit 50k-500k. a rare one crossed 1m. the accounts winning weren't making one perfect post, they were running the format enough times that the algorithm found the winners for them. the workflow behind it, if you want to copy it: research first. search your niche on tiktok, screenshot every top slideshow, save the captions somewhere. this is the raw material for everything after. pull matching visuals from pinterest for each slide type in that screenshot pile. figure out what slide 1 looks like, slide 2, slide 3. download a handful per slide type. not everything from pinterest can be reposted as is. run it through an image api like openai or gemini to generate variations that keep the same vibe. 5 slide types x 100 variations gets you 500 usable images fast. feed the competitor captions into claude code and have it write new caption variations in that same tone, keep the early slides content only, drop the app in near the end. claude code can overlay the captions onto the images directly using ffmpeg, then hand scheduling off to a tool that allows accounts to post automatically without you touching them daily. set this up once and you get months of content queued across every account, running the same proven format with fresh visuals each time. the accounts losing were treating every post as a one off. the accounts winning built a system and let volume do the work.show more