Design Engineering Tip: Don’t move objects at a constant... shape. As speed increases, stretch them in the direction of travel. The faster they move, the more they deform. Combined with easing and subtle motion blur, even simple animations can feel significantly more dynamic. const x = useMotionValue(0) const v = useVelocity(x) const scaleX = useTransform(v, [-1200, 0, 1200], [1.8, 1, 1.8]) const blur = useTransform(v, [-1200, 0, 1200], [3, 0, 3]) `blur(${b}px)`), }} />show more

Design Engineering Tip Make hover interactions respond to where... the cursor actually comes from. Instead of revealing content with the same animation every time, detect the cursor entry direction and move the image + content accordingly. It makes a simple card feel much more spatial and responsive. const direction = getDirection(event, ref.current); const variants = { top: { y: 20 }, bottom: { y: -20 }, left: { x: 20 }, right: { x: -20 }, };show more

Who said travel outfits can't steal the spotlight? ✈️🔥... Created with GPT image 2 and Seedance 2.0 on @thankyouai_hq PROMPT: Style: Fast-paced, cinematic, luxury fashion, IMAX-quality visuals, dramatic lighting, premium color grading, energetic editing, no dialogue, powerful electronic trailer music with cinematic impacts. 0:00–0:02 Ultra-wide shot of automatic airport doors sliding open. The model steps in wearing sunglasses and headphones. Quick bass hit. 0:02–0:04 Fast tracking shot from the side as she confidently walks through the terminal, pulling a sleek carry-on. Motion blur and speed ramps. 0:04–0:06 Rapid montage: . Coffee picked up from a café . Boarding pass flips into her hand . Close-up of a luxury watch . Sneakers hitting the polished floor (0.5-second cuts) 0:06–0:09 Low-angle hero shot. She walks through the terminal as sunlight streams through massive windows. People blur past while she stays perfectly in focus. 0:09–0:11 Fast sequence: . Escalator ride . Airport departure board . Hair flip . Adjusts sunglasses . Camera orbit transition 0:11–0:13 Slow motion for a split second as she walks toward the boarding gate. Cinematic lens flares, dramatic trailer boom. 0:13–0:15 Final hero shot from behind as she walks through the jet bridge. She glances back over her shoulder for one frame before the screen cuts to black with a powerful cinematic impact sound. Editing Style . 0.3–1 second shots . Speed ramps . Whip pans . Match cuts . Flash-frame transitions . Bass drops synchronized with cuts . Cinematic trailer pacing . Confident runway-style walk throughout . No dialogue, only high-energy trailer music and cinematic sound design This will feel more like a Netflix action trailer meets a luxury fashion campaign rather than a typical airport vlog.show more

"Great minds don’t move alone. When styles collide, you... get something untouchable." Created with NemoVideo Prompt: Scene 1 (0:00 – 0:03): Cinematic close-up tracking shot from behind the reference character wearing their signature dark outfit, stepping onto wet asphalt at night, 50mm anamorphic lens, f/1.8 shallow depth of field, sharp puddle reflections, 2700K amber streetlamp rim lighting, smooth gimbal push-in, neo-noir atmosphere, exact character consistency, 35mm film grain, 24fps, 4k resolution, --ar 16:9 Scene 2 (0:03 – 0:06): Low-angle medium tracking shot following the reference character walking down a narrow urban alley, 35mm lens, natural motion blur, maintaining consistent facial features, clothing, and build, deep crushed shadows, soft volumetric steam rising from pavement vents, subtle teal and warm ambient contrast, steadycam forward motion, photorealistic, 24fps, 4k resolution, --ar 16:9 Scene 3 (0:06 – 0:10): Wide establishing shot of the reference character's silhouette walking away into deep shadows of an empty city street at midnight, centered symmetrical composition, 24mm wide-angle lens, long trailing ground shadows, hazy distant headlight flares, slow cinematic push-in, melancholic neo-noir tone, exact outfit and silhouette match, 24fps, 8k resolution, --ar 16:9show more

[SVM] by Hand ✍️ Support Vector Machines (SVMs) reigned... supreme in machine learning before the ascendancy of the deep learning revolution. This exercise compares Linear vs RBF SVMs---how they classify two test vectors, after SVMs are trained from six training vectors. [1] Given xi: Six training vectors (blue rows 🟦) yi: Labels Using xi and yi, we learned ai and b (red borders): ↳ai: coefficient for each training vector i. • Non-zero: A Support Vector that defines the decision boundary • Zero: Too far from the decision boundary, ignored ↳b: bias (how much the decision boundary should be shifted) x’j: Two test vectors (yellow columns 🟨) (To simplify hand calculation, training and test vectors are not normalized.) ~ 𝗟𝗶𝗻𝗲𝗮𝗿 𝗦𝗩𝗠 ~ 🟩 Kernel Matrix (K) [2]-[3] [2] Test Vector 1 ↳ Take dot product between the test vector 🟨 and every training vector 🟦 ↳ The dot product approximates the “cosine similarity” between two vectors ↳ Output: 1st column of K [3] Test Vector 2 ↳ Similar to [2] ↳ Output: 2nd column of K 🟧 Decision Boundary [4]-[6] [4] Unsigned Coefficients → Signed Weights ↳ Multiply each coefficient with the corresponding label ↳ The 2nd training vector is NOT a support vector because its coefficient is 0. [5] Weighted Combination ↳ Multiply weights and bias with K ↳ Output: “signed” distance to the decision boundary ... X'1: (2)*13+0+(1)*12+(-1)*15+(1)*19+(-1)*27+(2) = 17 X'2: (2)*2+0+(1)*3+(-1)*4+(1)*8+(-1)*8+(2) = 5 ... [6] Classify ↳ Take the sign ... X'1: 1 > 0 → Positive + X'2: 5 > 0 → Positive + ... ~ 𝗥𝗕𝗙 𝗦𝗩𝗠 ~ Given ai: Learned coefficients b: Learned bias 🟩 Kernel Matrix (K) [7]-[15] 𝘛𝘦𝘴𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 (𝘟’1) 🟨 L2 Distance 🟪 [7]-[9] [7] Squared Difference ... i=1: (1-2)^2=1, (2-4)^2=4, (1-3)^2=4 ... [8] Sum [9] Square Root [10] Negative Scaling ↳ Multiply by -1: Note that L2 is a distance metric. The negation converts distance to similarity. ↳ Multiply by gamma γ: The purpose is to control how much influence each training example has. A small gamma means each training example pulls the decision boundary more lightly, resulting in smoother decision boundaries. ↳ The result is “negative scaled L2” [11] Exponentiate ↳ Raise e to the power of the “negative scaled L2” ↳ Use the provided table to look up the value of e^ ↳ Output: The 1st column of K 𝘛𝘦𝘴𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 2 (𝘟’2) 🟨 L2 Distance 🟪 [12]-[14] [12] Squared Difference [13] Sum [14] Square Root [15] Negative Scaling [16] Exponentiate ↳Output: The 2nd column of K 🟧 Decision Boundary [17]-[19] [17] Unsigned Coefficients → Signed Weights [18] Weighted Combination ... X'1: (20)*0.7+(-10)*0.8+(10)*0.9+(-10)*0.7+0+(-10)*0.9+(-1) = -2 X'2: (20)*0.9+(-10)*0.7+(10)*0.8+(-10)*0.8+0+(-10)*0.9+(-1) = 1 ... [19] Classify ... X'1: -2 0 → + ... ↳Output: The 2nd column of K 🟧 Decision Boundary [17]-[19] [17] Unsigned Coefficients → Signed Weights [18] Weighted Combination ... X'1: (20)*0.7+(-10)*0.8+(10)*0.9+(-10)*0.7+0+(-10)*0.9+(-1) = -2 X'2: (20)*0.9+(-10)*0.7+(10)*0.8+(-10)*0.8+0+(-10)*0.9+(-1) = 1 ... [19] Classify ... X'1: -2 0 → + ...show more

"Tiny paws hitting the keys until the terminal finally... turned green" Created with OpenArt Creative direction: [0:00 – 0:02] Establishing Shot & Atmosphere Camera: Slow, subtle macro push-in using a shallow depth of field (35mm, f/1.8). Focus begins on soft rain droplets running down a dark window pane in the background. Scene: Warm, cozy desk setup illuminated by a warm 2700K tungsten lamp and the soft cool glow of an open miniature laptop display. The subject sits center frame, fur backlit with golden rim lighting. Action: The character sits quietly, resting its paws, blinking slowly as steam rises gently from a small ceramic mug nearby. [0:03 – 0:05] Focus Shift & Subtle Interaction Camera: Smooth rack focus shifts cleanly from the blurred background rain to the character's focused eyes and the illuminated keyboard keys. Scene: Ambient reflections of glowing terminal code flicker faintly across the eyes and the desk surface. Action: The character tilts its head slightly downward, raising both front paws and placing them squarely over the illuminated mechanical keys. [0:06 – 0:08] Primary Action & Motion Dynamics Camera: Low-angle side profile, medium close-up, keeping micro-movements sharp and stabilized. Scene: Warm indoor glow contrasting against the cool desaturated rainy background outside. Action: Fast, rhythmic micro-tapping of the paws onto the keys. Soft key-travel motion visible. The character's ears twitch slightly in concentration while tiny ambient dust motes drift through the soft volumetric lamp beam. [0:09 – 0:10] Resolution & Breathing Room Camera: Very slow, gentle pull-back or panning drift, maintaining deep focus on the expressive facial features. Scene: The glow from the screen casts soft, steady illumination. Action: Typing rhythm slows into a pause. The character looks slightly up toward the monitor screen, taking a deep, calm breath before the frame smoothly loops. Aspect Ratio: 16:9. Visual Style: Photorealistic, volumetric lighting, tactile textures, 8k resolution, cinematic color grading, 24fps motion blur.show more

GPT image+Seedance 2.0 Video Prompt — 15 Seconds |... 8 Scenes | 9:16 Create a cute, hyper-detailed claymation stop-motion video showing the step-by-step creation of a miniature traditional Phinisi sailing ship from colorful modeling clay. Keep the visual style consistent with the reference image: handcrafted clay texture, miniature diorama, bright tropical ocean, soft cinematic lighting, colorful and satisfying visuals. Scene 1 — 0:00–0:02 Top-down close-up of colorful clay pieces, wooden-style clay tools, tiny ropes and miniature ship accessories arranged neatly on a crafting table. A pair of small clay hands begins preparing the materials. Slow camera push-in. Scene 2 — 0:02–0:04 Close-up of hands shaping the brown clay into the curved wooden hull of the miniature Phinisi ship. Show fingerprints and realistic clay texture. Smooth stop-motion movements. Scene 3 — 0:04–0:06 The hull becomes more detailed as tiny windows, railings, decorative patterns and wooden planks are carefully added. Camera slowly rotates around the model. Scene 4 — 0:06–0:08 Two tall masts are placed precisely onto the ship. Tiny ropes and rigging appear piece by piece. Close-up macro shot emphasizing the craftsmanship. Scene 5 — 0:08–0:10 Cream-colored clay sails unfold and attach to the masts. The complete miniature ship begins to take shape. Camera changes to a low cinematic angle. Scene 6 — 0:10–0:12 Tiny cabin, deck details, windows, ropes and accessories are added. The camera moves smoothly along the side of the ship, revealing the intricate handcrafted details. Scene 7 — 0:12–0:14 The finished Phinisi ship is placed on a miniature turquoise ocean made from textured clay. Small waves move around the hull while the ship gently rocks. Scene 8 — 0:14–0:15 Wide cinematic final shot: the completed miniature Phinisi sailing peacefully across the bright blue clay ocean under a sunny tropical sky, with small clouds, palm trees and colorful scenery in the background. The ship gently moves with the waves. Style: premium clay animation, stop-motion, handcrafted miniature, pastel clay texture, ultra-detailed, colorful, cinematic lighting, macro photography, shallow depth of field, smooth camera movement, satisfying transformations, realistic miniature scale. Audio: soft clay-working sounds, gentle tapping and sculpting sounds, subtle ocean waves, light tropical ambience and soft cheerful background music. Negative Prompt: blurry details, distorted ship, extra masts, deformed hands, flickering, inconsistent objects, realistic human proportions, text overlays, watermark, logo, sudden camera movement, low-quality textures. Seedance 2.0show more

A peaceful morning, a quiet village, and a fresh... start. Sometimes the simplest walks become the sweetest memories. Created on seedance 2.5 Prompt: Create a 15-second vertical 9:16 cinematic lifestyle video featuring one consistent young Korean woman living in a peaceful rural Korean village. The video should feel like a natural everyday moment captured for a Korean lifestyle/X social-media post — quiet, authentic, cozy, photorealistic, not commercial, not overly dramatic. Character consistency: A young Korean woman in her early 20s, natural Korean facial features, soft clear skin, long dark-brown/black hair tied loosely in a low ponytail, minimal natural makeup. She wears a cozy cream knit sweater, long dark plaid skirt, white sneakers, and a simple black backpack. Keep her face, hairstyle, body proportions, clothing and backpack 100% consistent throughout every shot. Environment: A traditional rural Korean village with a small rustic wooden-and-plaster house, warm wooden interior, simple furniture, handmade baskets, old windows, stone walls, narrow village paths, small gardens, traditional tiled rooftops, distant green mountains and a peaceful countryside atmosphere. Early morning sunlight, fresh air, subtle autumn colors. SHOT 1 — 0:00–0:02 Close cinematic shot inside her cozy rustic bedroom. She slowly wakes up in a simple bed, opens her eyes and looks toward the warm sunlight coming through the wooden window. Soft curtains move gently from the morning breeze. Natural room ambience, subtle birds outside. Camera slowly pushes in toward her face. SHOT 2 — 0:02–0:04 Medium shot. She sits up, casually fixes her slightly messy hair and ties it into a loose ponytail. She puts on her cream knit sweater and prepares to leave. Keep the movement natural and unhurried, like a real morning routine. SHOT 3 — 0:04–0:06 She picks up her simple black backpack from beside the wooden chair, puts it over her shoulders, checks herself briefly in a small mirror, then walks toward the wooden front door. Warm sunlight enters the room behind her. SHOT 4 — 0:06–0:08 Rear three-quarter shot. She opens the old wooden door and steps outside. Bright natural morning light gently floods the frame. The camera follows her from behind as she leaves the house. Slight realistic exposure adjustment as the camera moves from dark interior to bright exterior. SHOT 5 — 0:08–0:10 Wide cinematic shot of the Korean countryside village. She walks slowly along a narrow stone-and-concrete village path surrounded by small gardens, stone walls and traditional houses. Mountains are visible in the background. Leaves move naturally in the breeze. Camera tracks smoothly behind her. SHOT 6 — 0:10–0:12 Side-profile close-up while she walks. She briefly looks toward the mountains and takes a peaceful breath. A few strands of hair move naturally in the wind. Sunlight creates a soft glow around her hair. Genuine relaxed expression, no exaggerated acting. SHOT 7 — 0:12–0:14 She continues walking down the peaceful village road. Camera slowly moves from behind toward her side. The background reveals rooftops, trees, distant mountains and morning sunlight. She casually touches one hand to her backpack strap. SHOT 8 — 0:14–0:15 Final cinematic wide shot from behind. She becomes slightly smaller in the frame as she continues walking toward the distant village and mountains. Hold for a beautiful peaceful ending with warm sunlight and gentle wind. Camera & visual style: Photorealistic Korean lifestyle cinematography, cinematic 35mm look, natural skin texture, realistic facial movement, subtle film grain, soft depth of field, gentle handheld camera movement, smooth tracking shots, realistic motion blur, natural lens flare, warm morning sunlight, muted earthy colors, soft highlights, detailed rural textures.show more

The Canvas feature in Renoise AI is a game-changing... workspace for creating and managing e-commerce advertisements at scale. It transforms traditional video editing into an AI-powered creative workflow. I created this strawberry shake ad on Renoise using GPT Image 2 + Seedance 2.0 Prompt Create a hyper-realistic cinematic AI commercial video in horizontal 16:9 format. The video MUST follow ALL storyboard panels STRICTLY in exact order from Panel 1 through Panel 8 with seamless cinematic continuity. DO NOT include: * text overlays * subtitles * timestamps * VHS dates * captions * logos * animation notes * comic graphics * UI elements * split screens * watermarks The entire video should feel like a real premium cinematic commercial captured naturally on an iPhone 15 Pro mixed with vintage fish-eye skate footage. Maintain the SAME throughout the entire video: * blonde main girl * friend group * retro diner * wardrobe styling * strawberry shake product * lighting progression * nostalgic Y2K aesthetic * chrome reflections * energetic youth atmosphere The strawberry shake must remain perfectly consistent in every shot: glossy strawberry-pink liquid, whipped cream topping, condensation droplets, premium commercial realism, chrome reflections, same cup/bottle design throughout all scenes. Visual style: early-2000s skate-video nostalgia, retro Americana milkshake-commercial energy, premium TikTok fashion-commercial pacing, fish-eye skate cinematography, candid handheld realism, warm strawberry pink-red palette, slightly faded nostalgic colors, motion blur, chrome reflections everywhere, messy natural movement, commercial-quality realism, playful chaotic youth culture atmosphere. --- # PANEL 1 — ESTABLISHING SHOT (0:00–0:04) Wide cinematic exterior of a glowing retro Americana roadside diner during golden hour. Stylish western Gen-Z skater friends arrive on skateboards and roller skates. Neon signs glow softly pink and red. Vintage convertible parked outside diner. Warm sunset reflections across chrome surfaces. Handheld camera quickly pushes toward diner entrance with subtle fish-eye lens distortion. Main blonde girl enters frame laughing while confidently holding strawberry shake. Authentic imperfect framing, motion blur from fast skateboard movement, nostalgic suburban atmosphere. --- # PANEL 2 — ROLLER SKATE PASS (0:04–0:07) Extreme low-angle fish-eye shot inside diner. Roller skates aggressively slide directly past camera across glossy black-and-white checkered floor. Chrome reflections streak dynamically across frame. The strawberry shake swings through foreground with condensation dripping naturally. Fast whip-pan camera movement with energetic motion blur. Friends laughing in background booths. --- # PANEL 3 — MILKSHAKE SPIN (0:07–0:10) Macro cinematic close-up of strawberry shake spinning slowly on reflective chrome diner counter. Whipped cream wobbles naturally. Condensation droplets sparkle dramatically. Fresh strawberries beside cup. Vintage jukebox softly glowing in background. Slow-motion luxury commercial realism with shallow depth of field. Camera smoothly rotates around shake. --- # PANEL 4 — DINER BOOTH CHAOS (0:10–0:14) Chaotic handheld shot of fashionable friends dancing wildly inside diner booths. Oversized hoodies, baggy jeans, vintage racing jackets, tiny sunglasses, silver jewelry moving dynamically. Main blonde girl stands on diner booth laughing while holding strawberry shake overhead. Natural camera shake like authentic 2000s camcorder footage. Messy candid movement, energetic youth atmosphere, chrome reflections everywhere. --- # PANEL 5 — JUKEBOX MOMENT (0:14–0:17) Cinematic medium shot. Main blonde girl dramatically presses glowing retro jukebox button while holding strawberry shake in opposite hand. Pink-red neon light softly illuminates glitter makeup and glossy lips. Camera slowly pushes toward her face while chrome reflections move across frame. Background friends dance softly out of focus. Stylish rebellious retro Americana energy. --- # PANEL 6 — WHIPPED CREAM FOOD FIGHT (0:17–0:21) Chaotic slow-motion whipped cream fight exploding across diner. Whipped cream flies toward camera lens. Friends laugh uncontrollably. Dynamic motion blur throughout scene. Main blonde girl remains center frame holding strawberry shake confidently while dodging whipped cream. Cream splatters across chrome counter and diner windows. Exaggerated playful cinematic energy. --- # PANEL 7 — RETRO CAR WINDOW SHOT (0:21–0:25) Nighttime exterior outside diner. Inside vintage chrome convertible parked under glowing diner neon lights. Handheld camcorder-style shot from backseat. Main blonde girl laughs with whipped cream mustache while holding strawberry shake toward camera. Friends lean out windows laughing while pink neon reflections move across glass surfaces. Warm nostalgic nighttime atmosphere with subtle grain texture. --- # PANEL 8 — FINAL HERO SHOT (0:25–0:30) Final cinematic ending outside glowing retro diner at night. Main blonde girl stands confidently under neon lighting drinking strawberry shake while friends roller skate away laughing in background. Wind naturally blowing hair. Fish-eye lens slowly settles into emotional cinematic framing. Chrome reflections shimmer on wet asphalt. Pink-red neon glow surrounds scene. Motion blur trails from skating friends. The video ends with a natural cinematic freeze-like ending moment, emotional nostalgic Y2K atmosphere, premium commercial realism.show more

Not every hero wears a cap. Some carry a... school bag. 🎒 Brought this cinematic animation to life with Seedance 2.0 on BudgetPixel AI Prompt 👇 Style: High-end 3D animated cartoon, cinematic Pixar-style lighting, expressive characters, shallow depth of field, dynamic motion blur, viral short-form pacing, 4K Scene 1 (0–3s) “Establish + Hook” Wide tracking shot from behind: a cartoon school boy walks alone on a quiet street, backpack bouncing slightly. Camera slowly pushes in (dolly-in). Subtle wind + soft suspense beat starts. Transition: quick whip pan left into next scene. Scene 2 (3–6s) “Threat Reveal” Snap zoom cut-in to a girl near a parked bike being threatened by two sneaky snatchers. One grabs her purse aggressively. Camera angle: low-angle wide shot to make snatchers look bigger and intense. Music intensifies sharply. Transition: fast heartbeat zoom blur into hero reaction. Scene 3 (6–9s) “Hero Moment Build” Close-up on the boy’s face determined expression, eyes reflecting light. He bends down (camera follows in slow-motion orbit shot) and picks up a small stone. Cinematic slow-motion throw with motion blur and dramatic lighting flare. Transition: impact cut (flash frame white) Scene 4 (9–11s) “Impact Chaos” Stone hits the bike with stylized spark FX + metallic clang sound vibe. Camera shakes slightly (handheld effect). Purse falls in slow motion. Snatchers react in exaggerated cartoon shock. Transition: speed ramp + forward push-in tracking shot Scene 5 (11–13s) “Action Resolution” The boy runs in smooth tracking side-shot (parallax motion), grabs the purse mid-motion. He steps in front of the girl protectively. Snatchers retreat in exaggerated cartoon panic (blurred background motion). Transition: soft stabilized slow fade motion Scene 6 (13–15s) “Hero Ending / Viral Hook Finish” Golden warm lighting. Medium close-up: boy returns purse gently. Girl smiles relieved. Camera slowly rotates around them (hero orbit shot). He puts on black sunglasses inslow-motion swag reveal. Soft romantic outro music fades. Final frame freezes for 0.5s (TikTok-style end lock).show more

A seamless blend of precision, movement, and cinematic action.... Korin brings every frame to life with intensity and style. Created with Wan 3.0 on BudgetPixel AI & BudgetPixel AIclip Prompt Create a 15-second cinematic action fight video featuring a fierce adult female warrior named Korin in a dark futuristic city alley at night. She wears a stylish black combat outfit with subtle metallic details, long flowing hair, and a confident, determined expression. 0–3 seconds: Start with a dramatic close-up of Korin’s face. Wind moves her hair as she slowly raises her eyes toward an approaching opponent. Neon lights reflect on her face, cinematic atmosphere, subtle handheld camera movement. 3–6 seconds: The opponent rushes toward Korin. She quickly dodges the first punch, spins around, and delivers a powerful kick to the opponent’s chest. Use realistic body movement, dynamic camera tracking, and natural motion blur. 6–10 seconds: Korin immediately attacks with a fast combination of punches and kicks. The opponent blocks some attacks and counterattacks. Show quick footwork, realistic impacts, believable martial-arts choreography, and dramatic camera angles. 10–13 seconds: The opponent attempts a final powerful strike. Korin ducks underneath it, grabs the opponent’s arm, performs a fast throw, and sends them crashing onto the ground. 13–15 seconds: Korin stands calmly over the defeated opponent, breathing heavily. She turns toward the camera with a confident expression while neon lights flicker behind her. End with a dramatic slow-motion shot and cinematic push-in. Style: high-budget action movie, photorealistic, cinematic lighting, realistic physics, detailed facial expressions, smooth character animation, dynamic camera movement, dramatic atmosphere, professional fight choreography, sharp details, natural motion blur, consistent character appearance throughout, no blood, no gore, no text, no watermark.show more

STOP asking Opus 5.5 to invent motion from scratch.... good motion still starts with taste + creative direction. when you give AI nothing, it falls back to the same generic shit everyone else is posting. left is dnyxstudios’s original. right is opus's version rebuilt with my own brand. same motion, same cuts, same timing. ~15 minutes, $0. give it great work to study, then let it handle the execution. full prompt below ↓ Ask me for: my product name, a logo (or let you draw a simple mark), my brand colours (or pull them from my logo), the one-line thing a user types into the prompt box, the page that answers it (title + 2–3 sentences with one key phrase), two feature names for the stacked cards, and a music track. If I skip any, use the defaults: product "Frame by Frame" living inside its Whop hub, a viewfinder mark (four corner brackets around a bold "FF"), prompt "Make a launch video for my app", a lesson page titled "2.1 Choose a reference", cards "Launch" and "Sound", and Mixkit's free house track "Rising Forest" slowed to 124 BPM. A 12 second square product sting, 1080x1080, frame numbers at 29.97 fps (f0–f359), master rendered at 59.94 fps. Apple-keynote feel: soft, white, bright blue, glassy. The camera never cuts on a still frame: every shot enters already moving (exponential ease-out, 12–19% of the remaining distance per frame) and leaves on an accelerating move or a blur ramp. Blur follows speed and direction on every move. Palette: my brand colours mapped onto these roles; if I give none, use page #FDFDFB, haze #B7CFEB, ice #E6F0FA, deep blue #294376 → #769CC2 sky gradient, navy #1E2F52, accent blues #2F6BFF / #3CC8F0 / mint #4ED6A0, white. Type: Inter (400/500/600/700). No purple, violet, magenta or orange anywhere. Story: the product header rises out of a blue haze inside a light app window → a cursor glides in, turns to face where it's going, grows on hover and clicks the logo → hard cut on the music drop to the app icon with four squares orbiting into a cross → the icon collapses into a Mac menu bar → the cursor clicks the menu-bar icon, a frosted glass prompt box springs out and the prompt types → whip-tilt up through a light-blue flash into the answer page scrolling into place → a card rises over it → blur-dissolve to two stacked cards with giant frosted-glass titles → blur-dissolve to the lone logo disc → hard cut to a black end card with a glowing wordmark. Banned: crossfades, frozen frames (except one hold in S7), stock UI kits, glows on UI text, Math.random, anything that looks like a template. Coordinates are px on the 1080 stage. Music beat k = 0.048 + 0.4838·k s (124 BPM, one beat = 14.5 frames). The three hard cuts f72, f101, f159 land 2 frames before a beat: keep these exact frames. S1 f0–71, header + window + click: haze #B7CFEB fading to #FDFDFB by f28, keep a blue floor glow #DBEEFD at the bottom. Header on one line: logo disc ⌀132 (#FBFCFE, 1px rim #E8E8EA, dark mark), the product name (Inter 500), a dark capsule pill "on Whop" (#2F2E2F, white text); the whole lockup spans x474–1063, centre line rises y932 (f0) → 776 (f2) → 683 (f5) → 608 (f10) → 546 (f24) → 536 (f37), drifting 1 px/frame after. Name appears f2 blurred, pill f4–5 heavily blurred and sliding 15 px left as it sharpens. A light hub window (radius 93, fill #FCFDFF, top band #F1F6FF, blue inner floor glow) fades in around it: opacity 0 to f14, 0.53 f15, 0.7 f19, 1.0 f24; top-left corner (408,405), runs off the right and bottom. Inside: a search pill in the top band, a left icon column (Courses icon at (537,739), faded Chat icon at (537,900)), and a course card from (764,700) off-frame with its cover image, title and "Course · 8 lessons". Cursor (black macOS arrow, white outline, 32x39) appears f27 at (891,393), glides left decelerating to (770,383) f44, rotates to point down-left f47–51 as it dives, lands on the disc's lower right (629,564) f56 → (587,546) f59 → (555,531) f71; grows ×1.55 on hover from f56; a soft ice ring (#D5F3FF → #F7FEFF, outer ⌀174) lights around the disc from f53. Camera zooms about (540,540): 1.0 f46 → 1.2 f60 ease-in-out, holds f61, then eases out accelerating to 1.04 at f71 while the cursor presses (shrinks 15% f69–71). S2 f72–100, icon + orbit: navy squircle app icon (#294376 → #1E2F52, white mark), 276 px at f72 shrinking ease-out to 178 px by f86, radius 28% of width, on a grey halo disc #E9E9E7 growing ⌀240 (f75) → 326 (f86). Four 92 px squares (radius 26) spin in counter-clockwise, decelerating, and lock into a cross at orbit radius ≈216 by f86: white (1px #E3E8EF edge + faint shadow) left, #2F6BFF top, #3CC8F0 right, #4ED6A0 bottom. f88–100: the icon shrinks accelerating to ≈40 px, the squares slide into a row on its right (white slips behind the icon), blur ramps 0.3 → 6 px. S3 f101–158, menu bar + prompt: white page above a black laptop bezel band (y425–475, top highlight #686866), a dark navy menu bar (y477–538), wallpaper below = the blue sky gradient with thin white line art (one big circle, two horizontal lines, one vertical, a four-point sparkle at a crossing, soft teal glow top-right). Menu bar right cluster in white: Wi-Fi, battery, toggles, the product mark at x531–584, three ⌀36 dots #2F6BFF / #3CC8F0 / #4ED6A0 at x612, 661, 709, "Mon Jun 22 9:41 AM" 34 px. Enters blurred 3 px and settling by f110. Cursor rises from below (f102), sits on the mark, presses f113–117. Camera pans content right +125 px f115–130 (fastest f118–120). A frosted glass box (white-blue glass over the sky, bright top rim, radius 60) springs out from under the mark f116: width peaks 744 at f126 and settles 726x228 by f138 around x196–922, y568–797. The prompt types from f121 (first legible "Make ") to f150 (complete) at about 1 char/frame with a 1-frame hold every 2–3 chars; caret always on; three white outline icons along the bottom; send button #2F6BFF ⌀51 with a white up arrow. From f136 the whole scene drifts up, accelerating into a whip-tilt (f158 moving ≈25 px/frame, vertical blur ≈6–8 px) while the page tints #E6F4FE over f154–158. S4 f159–186, answer page: a light course lesson page (breadcrumb, title, body): text column x120, body 47 px Inter 400 grey #BCBCBA, line pitch 58, one key phrase ("frame for frame") in black 600. It arrives smeared and 420 px low, scrolls up with offsets 420, 315, 210, 170, 140, 116, 96, 81 (f166) … 14 (f175) … 0 (f180), then creeps −6 px by f186. Blur 24 px (f159) → 1.5 (f165) → 0. Flash #E2F4FE fading to #FDFDFB by f165. A cursor pointing straight up rides the scroll and stops under the key phrase (≈(450,591) f180), then drifts right. S5 f187–214, card: a white card (x203–878, runs off the bottom) rises over the page: cover image 627x536 inset 24 px, radius 64, a light grabber bar at its top centre, caption semibold 38 px black, sub-caption grey 23 px. Cover top y642 (f187) → 456 (f191) → 395 (f196) → 369 (f200) → 348 (f205), then keeps drifting up ~4 px/frame. Card blur peaks 3.8 px at f189, sharp by f201; the page behind blurs to ≈2.5 px. Exit f207–214: card shrinks ~5% and rises while the whole frame blurs 1 → 7 px; cut at the blur peak. S6 f215–244, two cards: white page, two stacked cards 538x348 (radius 57, gap 36) centred on x540, top card settling at y168 by f230, bottom at y552. Each: cover art (no text baked into it), a frosted pill top-left ("Module 3" / "Module 5"), a frosted round "•••" top-right, and a huge bold title along the bottom edge made of frosted glass (a blurred, lightened copy of the image clipped to the letters, cut off by the card's bottom edge): "Launch" and "Sound". Both enter blurred 12 px and sharp by f224; the top card enters 8% large and rises from y264; the bottom card rises from y927, staggered behind it. They drift up 3 px/frame f230–238, then accelerate up and blur out into the cut. S7 f245–300, logo disc: page #FDFDFB, disc ⌀168 #F6F6F6 with the dark mark, rises into the centre (top y569 f245 → 491 f250 → 468 f255 → 456 f269) with a vertical smear on the cut frame, holds still f269–287 (the only frozen stretch), then shrinks accelerating to ⌀123 at f300. S8 f301–359, end card: black radial background (#020204 corners, ≈#272729 around the word), the wordmark in Inter 600, white #F3F3F5 with a tight glow plus a wide soft halo, centred (540,540). Word width: ≈1650 px f301 (horizontally smeared, zoom streaks) → 1350 f302 → 1110 f303 → 1049 f304 → 734 f309 → 678 f311 → 563 f320 → 516 f342 (≈1 px/frame shrink) → 492 f350, then collapses ease-in: 450 f355 → 267 f359 with blur rising to 3.5 px. The film ends mid-collapse. 1. One HTML page, 1080x1080, drawn by seek(t) as a pure function of the frame number. No CSS transitions, no timers, no Math.random (seeded hashes only). Shots register as {f0, f1, render(localFrame)}. 2. Every value is continuous in the frame number (the 59.94 master renders half frames): animate with keyframe tables kf(frame, [[f, value], ...], ease) and per-frame lookup tables with linear interpolation. No Math.floor on motion. 3. Blur: CSS filter blur for round blur, SVG feGaussianBlur with separate x/y stdDeviation for directional smears. Zoom smear on the end card = 20–30 scaled, faded copies of the word. Frosted glass = a blurred, lightened copy of what's behind, clipped to the shape. 4. Cursor: one SVG macOS arrow (black fill, white outline, soft shadow) with rotation and scale, reused in S1, S3, S4. 5. Sound (no voice), exactly 12.075 s: music at 124 BPM, soft intro, the drop at 2.47 s (beat 5, the f72 cut leads it by 2 frames). Synthesized SFX: soft impact 0.10 s; whooshes peaking at the cuts 2.402, 3.370, 5.305, 10.043 s; transition hits exactly on 6.240 s and 8.175 s; clicks at 2.33 and 3.83 s; very quiet key ticks every ~32 ms over 4.04–5.00 s; a soft shimmer at 10.05 s. Master to −14 LUFS, true peak −1 dBTP, no fade except the last 60 ms. 6. Render with Playwright (one screenshot per frame, fonts loaded first), encode H.264 yuv420p at 60000/1001, mux the audio. Measure text only after the fonts load. A long product name won't fit where a 5-letter name did: scale the whole lockup (disc gap, name, pill) to fit the span x474–1063, don't let the pill fall off-frame. A white orbit square vanishes on the white page without a 1px edge and a faint shadow. Don't put images with their own text inside the S6 cards, or the glass title doubles up. Keep the cut frames exact even where they don't sit on a beat. Nothing freezes except S7 f269–287. Heavy blur tables can wipe a shape out completely: if a frame looks empty, lower the blur until the shape still reads. Ask me for the inputs. Then show me 4 stills (f40 header in the window, f86 icon cross, f150 finished prompt, f230 the two cards) before you render the full film.show more

[Discrete Fourier Transform] by Hand ✍️ In signal processing,... the Discrete Fourier Transform (DFT) is no doubt the most important method. But the math involved is extremely complex, literally, involving a summation over a complex number term e^(-iwt). I developed this exercise to demonstrate that underneath such complexity, DFT is just a series of matrix multiplications you can calculate by hand. ✍️ Once you see that, it should not surprise you that a deep neural network, which is also a series of matrix multiplications, with activation functions in-between, can learn to perform DFT to process and analyze signals so effectively. How does DFT work? [1] Given ↳ Signals A, B, and C in the 🟧 frequency domain: ◦ A = cos(w) + 2cos(2w) ◦ B = cos(w) + cos(3w) + cos(4w) ◦ C = -cos(2w) + cos(3w) ◦ Each signal is a weighed sum of four cosine waves at frequencies 1w, 2w, 3w, and 4w. ◦ We will apply Inverse DFT to convert the signals to time domain representations, and then demonstrate DFT can convert back to their original frequency domain representations. ↳ Signal X in the 🟩 time domain. X is sampled at 10 time points 1t, 2t, …, 10t: ◦ X = [-2.5, -1.8, 3, -0.7, -1.0, -0.7, 3, -1.8, -2.5, 5] ◦ Suppose X is also a weighted sum of the same four cosine waves, but we don’t already know their weights. We will apply DFT to discover them. [2] 🟧 Frequency Matrix (F) ↳ Write the coefficients of A, B, C as a matrix F. Each signal is a row. Each frequency is a column. ↳ A → [1, 2, 0, 0] ↳ B → [1, 0, 1, 1] ↳ C → [0, 1-, 1, 0] [3] Cosine → Discrete ↳ Sample from the continuous cosine waves at discrete time points 1t, 2t, 3t, to 10t. [4] Cosine Matrix (W) ↳ Write the samples as a matrix, Each frequency is a row. Each time point is a column. [5] Inverse DFT: 🟧 Frequency → 🟩 Time ↳ Multiply the frequency matrix F and the cosine matrix W. ↳ The meaning of this multiplication is to linearly combine the four cosine waves (rows in W) into time-domain signals (rows in T) using the weights specified in F. ↳ The result is matrix T, which are signals A, B, C converted to the time domain. Each signal is a row. Each time point is a column. [6] Transpose ↳ Transpose T, converting each signal’s time domain representation from a row to a column. [7] DFT: 🟩 Time → 🟧 Frequency ↳ Multiply the cosine matrix W with the transpose of matrix T. ↳ The purpose of this multiplication is to take a dot-product between each time-domain signal (columns in the transpose of T) and each cosine wave (rows in W), which has the effect of projecting the signal onto a cosine wave to determine how much they are correlated. Zero means not correlated at all. ↳ The result is an intermediate version of the “recovered” frequency matrix where each column corresponds to a signal and each row corresponds to a frequency. ↳ Compared to the original frequency matrix F, this intermediate matrix has non-zero weights in the correct places, but scaled up by a factor of 5 (n/2, n=10). For example, signal A, originally [1,2,0,0], is recovered at [5,10,0,0]. [8] Scale ↳ Multiply each value by 2/n = 1/5 to scale down the intermediate matrix to match the magnitude of the original frequency matrix F. [9] Transpose ↳ Transpose the recovered frequency matrix back to the same orientation of the original frequency matrix F. ↳ Like magic 🪄, the result is identical to the original F, which means DFT successfully recovered the frequency components of signals A, B, C. [10] Apply DFT to X: 🟩 Time → 🟧 Frequency ↳ Now that we have some confidence in DFT’s ability to recover frequency components, we apply DFT to X’s time-domain representation by multiplying W with X. ↳ The result is the an intermediate matrix. [11] Scale ↳ Similarly, we scale down by a factor of 5 to obtain the recovered frequency components of X (a column). [12] Transpose ↳ Similarly, we transpose the recovered column to row to match the orientation of the frequency matrix. ↳ Using the coefficients [0,0,3,2], we can write the equation of X as 3cos(3w) + 2cos(4w). Notes: I hope this by hand exercise helps you understand the essence of DFT. But there is more technical details, such as: • Sine: The complete DFT math also includes sine waves that follow a similar calculation process. • Phase: Here, we assume all the cosine waves are aligned at the origin, namely, phase is 0. If a phase p is added, for example, cos(w+p), we will need to calculate the sine component and use their ratio to figure out what p is. • Magnitude: If phase is not zero, the magnitude will need to be calculated by combining both cosine and sine terms.show more

Run Through Ruin: Battle of the Iron Jungle GPT... Image 2 plus Seedance 2.0 Fast Reference Image Prompt: A cinematic, ultra-detailed scene of a high-speed jungle battlefield with a human field operative running through ancient overgrown ruins while massive futuristic transforming machines fight in the background. The environment is dense tropical jungle with tall trees, vines, cracked stone temples, and floating dust particles. Explosions, energy blasts, and flying debris fill the air. The lighting is dramatic with strong sunlight rays piercing through the canopy, mixed with sparks, fire, and glowing energy weapons. Style: photorealistic, cinematic, high contrast, dynamic motion blur, volumetric lighting, depth of field, ultra-detailed textures, 8k, sharp focus, dramatic shadows Camera: low tracking shot, motion blur on background, subject in focus, wide-angle lens, slight camera shake feel Subjects: a modern tactical operative in dark gear sprinting forward (no logos, no text) multiple large generic sci-fi machines (non-branded, original design) transforming between vehicle and humanoid forms ancient stone ruins covered in moss and vines Action: intense motion, debris flying, trees breaking, energy blasts mid-air, one large machine landing with a shockwave, dust and leaves scattering Color & Mood: warm sunlight mixed with cool metallic tones, glowing orange and blue energy, chaotic, intense, high-adrenaline atmosphere Negative Prompt: no logos, no brand names, no copyrighted characters, no text, no watermark, no blur on subject, no low detail. Final Video Prompt: Prompt: A high-intensity 15-second tracking shot follows a field operative sprinting through ancient jungle ruins as colossal transforming machines battle violently around them. 0–4s: The camera races close behind the operative as they dash across cracked stone paths covered in vines and debris. The ground shakes from massive mechanical footsteps. Energy blasts streak overhead, shattering pillars and sending fragments exploding into the air. 4–8s: The camera swings low and to the side as a sleek armored machine speeds past in vehicle form, then seamlessly transforms into a towering combat unit while sliding across the terrain. Enemy machines crash through trees, ripping apart the jungle and scattering splinters and dust. 8–12s: A giant machine drops from above, slamming into the ground and unleashing a powerful shockwave. The operative dives forward as a bright energy beam scorches the earth just behind them, lighting the scene in a harsh, flickering glow. 12–15s: They roll, regain their footing, and sprint ahead as two massive machines collide in a violent clash behind them. The camera stabilizes slightly, tracking forward as explosions erupt and ancient structures collapse, the battlefield engulfed in chaos.show more

THE FALL OF THE FORTRESS 💥 where war ends... and a new king rises from the ashes of silence. I generate this through Seedance 2.0 on Yapper Prompt : “THE FALL OF THE FORTRESS” — 15s Ultra-Cinematic Hollywood AI Video Prompt Style: Hyper-realistic Hollywood action • IMAX scale • Unreal Engine 5 quality • cinematic VFX • realistic physics • ultra-detailed facial animation • volumetric smoke • dynamic lighting • smooth motion control • practical explosions mixed with CGI • grounded realism • no cartoon feeling • intense cinematic sound design --- 0:00 – 0:03 | THE ARRIVAL Extreme wide aerial shot above a gigantic ancient stone fortress built on a mountain cliff during a stormy sunset. Massive black military helicopters emerge from thick clouds while searchlights cut through the rain and smoke. The main hero stands at the open helicopter door wearing a dark tactical royal armor mixed with modern military gear — long black coat flowing violently in the wind, metallic shoulder armor, glowing insignia on chest, battle scars on face. Camera: cinematic drone orbit + stabilized helicopter tracking shot. Atmosphere: realistic wind physics, rotor wash moving dust and flags naturally, thunder flashes illuminating the fort. Audio: deep cinematic braams, helicopter blades, distant explosions. --- 0:03 – 0:07 | THE ATTACK The helicopters begin aggressive tactical assault on the fortress walls. Heavy machine guns fire realistic tracer rounds toward enemy towers while explosions erupt across stone barricades. The hero jumps from the helicopter using a tactical rope while explosions burst behind him in slow motion. Enemy soldiers fire desperately but the hero walks forward fearlessly through smoke and sparks. Camera transitions: slow-motion close-up of bullet casings falling handheld battlefield tracking shots cinematic whip-pans during explosions realistic motion blur and debris simulation VFX: ultra-realistic fire, smoke simulation, particle destruction, cinematic sparks, physically accurate lighting reflections on armor. --- 0:07 – 0:10 | THE SURRENDER The hero lands inside the fort courtyard. Enemy soldiers slowly stop firing. One by one, they kneel and throw down their weapons. Rain falls softly through burning smoke while the hero walks through the defeated army with absolute dominance. His boots echo on wet stone ground. Camera: low-angle hero shot with subtle shake for realism. Lighting: orange fire glow mixed with cold blue storm light creating dramatic contrast. Facial animation must feel emotionally real and photorealistic. --- 0:10 – 0:15 | THE NEW KING Massive throne room inside the fortress. Ancient royal hall with burning torches, shattered banners, cinematic dust particles floating through light beams. The hero slowly sits on the gigantic king’s throne. A royal crown is placed on his head while defeated enemies bow before him. Silence fills the hall. Extreme cinematic close-up on his eyes. Camera slowly pushes inward. He says in a deep powerful voice: “A new era begins from here.” Final shot: The throne hall darkens while golden light rises behind him like a rebirth. His cape moves slowly in the wind as the camera pulls back to reveal the conquered kingdom. --- Cinematic Technical Details Unreal Engine 5 photorealism IMAX cinematic framing realistic skin texture and micro-expressions perfect lip-sync smooth cinematic motion control practical war cinematography volumetric fog and smoke ray-traced lighting and reflections Hollywood-grade color grading physically accurate explosions and destruction zero fake animation feeling realistic crowd behavior and enemy reactions ultra-detailed environmental destruction epic Hans Zimmer–style cinematic soundtrack 24fps cinematic motion with natural shutter blur seamless transitions between scenes emotional realism + blockbuster scaleshow more

You spend years training for the World Cup, then... lose to a cat. This Cat vs Human Football match rivalry was created using GPT Image 2 + Seedance 2.0 on RoboNeo #Roboneo Prompt Create a 15-second cinematic FIFA World Cup 2026 sports-comedy commercial. Every scene must happen strictly in the exact sequence listed below. Do NOT skip, merge, shorten, combine, or reorder any scene. Maintain perfect character consistency across all shots. MAIN CHARACTER: Athletic western blonde female soccer player, age 24, blue eyes, long blonde ponytail, red soccer jersey #8, red shorts, red socks, professional football boots. ANIMAL HERO: Sleek athletic grey cat with green eyes wearing a matching red soccer jersey. OPPONENTS: Two muscular female football players wearing white uniforms. ENVIRONMENT: FIFA World Cup 2026 atmosphere. Massive packed football stadium during golden hour. Warm sunlight, dramatic lens flares, vibrant green grass, roaring crowd, FIFA World Cup branding, international supporters waving USA, Canada, and Mexico flags. Premium global football-event energy. STYLE: Photorealistic live-action sports commercial, realistic human anatomy, Pixar-quality cat animation, Nike-style energy, dynamic camera movement, cinematic lighting, ultra-detailed textures, realistic football physics except for the cat's comedic athletic abilities. DURATION: 15 seconds total. SCENE 1 (0:00–0:02) — WORLD CUP OPENING High aerial establishing shot of a massive FIFA World Cup 2026 stadium at golden hour. Visible FIFA World Cup 2026 banners around the stadium. Crowd packed with supporters waving USA, Canada, and Mexico flags. A recognizable host-city landmark is visible in the distance. The blonde player in red jersey #8 dribbles confidently across the pitch while the grey cat runs beside her. Camera slowly pushes forward. Warm sunlight washes over the field. Massive crowd roar. On-screen title card appears briefly: "FIFA WORLD CUP 2026". SCENE 2 (0:02–0:03) — GAME ON Medium action shot. Two muscular opponents in white uniforms notice the cat and immediately shift their focus toward stopping it. The cat glances toward the ball with determination. Quick cinematic push-in. Crowd anticipation rises. SCENE 3 (0:03–0:05) — CAT SPEED BURST Ground-level tracking shot. The cat explodes forward between players' legs at impossible speed. Grass, dirt, and turf particles spray upward. Intense acceleration effect and realistic motion blur. Stadium crowd reacts with surprise. SCENE 4 (0:05–0:06) — PLAYER REACTION Extreme close-up of the blonde player. She smiles confidently, then her eyes suddenly widen in genuine surprise as she realizes how unbelievably fast the cat is moving. Lens flare sweeps across frame. SCENE 5 (0:06–0:08) — HERO CAT Low-angle hero close-up. The cat locks eyes on the ball. Golden sunlight creates a glowing halo around its silhouette. Slow-motion moment. Crowd noise softens briefly while heroic music rises. Fur detail and jersey fabric rendered with ultra-realistic quality. SCENE 6 (0:08–0:10) — FIRST DODGE Wide action shot. One defender launches a tackle. The cat instantly sidesteps and slips perfectly between both defenders. The tackle misses completely. The crowd erupts with laughter and excitement. SCENE 7 (0:10–0:12) — SLIDE CHAOS Both opponents commit to aggressive sliding tackles simultaneously. Massive dirt explosion. The cat effortlessly avoids both slides with perfect timing. The defenders collide with each other and tumble dramatically. Realistic physics, comedic timing. Crowd reaction intensifies. SCENE 8 (0:12–0:13) — DRIBBLE MASTER Dynamic tracking shot. The cat skillfully dribbles the ball through the chaos with incredible close control. Opponents tumble helplessly in the background. The blonde player watches in amused disbelief. Stadium energy reaches its peak. SCENE 9 (0:13–0:14) — IMPOSSIBLE SHOT Dramatic low-angle shot. The cat crouches beside the ball and looks upward. Tension builds. Suddenly the cat launches into an impossible move and strikes the ball toward goal. Cinematic speed ramp. Ball rockets through the air toward the net. SCENE 10 (0:14–0:15) — WORLD CUP GOAL & BRAND PAYOFF Ultra-cinematic goal shot. The football smashes into the back of the net at high speed. The net deforms naturally and ripples realistically with detailed cloth physics. Goal frame shakes subtly from impact. Crowd instantly explodes in celebration. Fans wave USA, Canada, and Mexico flags. The blonde player throws her hands up in disbelief and joy. The cat lands heroically and looks toward the roaring stadium. Freeze frame on the celebrating cat. On-screen tagline appears: "IMPOSSIBLE IS JUST KICKOFF." FIFA WORLD CUP 2026 logo appears prominently with premium commercial-grade branding. End on triumphant crowd roar and stadium atmosphere. CINEMATIC NOTES: Strict chronological sequence. No scene skipping, merging, or reordering. Fast-paced sports-commercial editing. Warm golden-hour color grading. Dynamic camera movement throughout. Premium FIFA World Cup 2026 advertising quality. Realistic football and net physics. Massive crowd reactions escalating throughout the film. Consistent character appearance across every shot. Photorealistic visuals with cinematic lens flares and broadcast-quality production values. Final goal must feel epic, emotional, and unmistakably FIFA World Cup 2026.show more

Made with GPT Image 2 + Seedance 2.0 by... Yapper Prompt: Aurban city street, consistent young adult male same from reference Image (short dark hair, casual clothing), full-body framing, fixed side camera, slight gradual zoom-in, smooth interpolation, high character consistency Timeline Breakdown (15 seconds total) 0.0s – 1.5s | Scene 1 — Introduction young man standing still holding skateboard vertically at his side, relaxed posture, neutral expression, quiet city street background, no motion 1.5s – 3.0s | Scene 2 — Setup he lowers skateboard to ground and steps onto it, slight crouch, arms relaxed for balance, subtle anticipation 3.0s – 5.0s | Scene 3 — Rolling he rides forward smoothly, knees slightly bent, body leaning forward, light motion lines, slight background blur begins 5.0s – 6.5s | Scene 4 — Trick Preparation he crouches deeper, back foot pressing tail, front foot ready, arms widen, tension builds before jump 6.5s – 8.0s | Scene 5 — Ollie Jump he pops the board and jumps, skateboard rises with him, mid-air suspension, knees bent, strong motion lines 8.0s – 9.5s | Scene 6 — Landing he lands cleanly and continues riding, now wearing open casual jacket, expression more confident 9.5s – 11.5s | Scene 7 — Speed Increase he rides faster, leaning slightly, stronger motion blur, dynamic lines emphasize speed 11.5s – 13.5s | Scene 8 — Kickflip he performs kickflip, skateboard flips beneath him mid-air, controlled posture, high energy motion 13.5s – 15.0s | Scene 9 — Final Pose he lands and stabilizes, standing confidently on skateboard, now wearing full tracksuit jacket, relaxed stance, motion settles into still frame Motion & Style Controls motion strength: low (0–3s) medium (3–9s) high (9–13.5s) ease-out (final 1.5s) transitions: smooth interpolation between scenes camera: fixed side tracking + slight zoom-in across full 15s pacing: gradual acceleration then clean slowdownshow more

How cinematic can pure motorcycle speed actually become on-screen?... GPT Image 2 + Seedance 2.0 on Fish Creative prompt Create an explosive, high-speed motorcycle action sequence in 16:9, 24fps, exactly 16 distinct cuts, total runtime ≈ 16–17 seconds. A lone rider in a light green helmet and dark riding gear pilots a babypink sportbike along a narrow, winding paved mountain road that cuts through rolling green hills under a brilliant sunny sky with scattered white clouds and distant blue mountain ranges and water visible on the horizon. Preserve the exact bike color, rider silhouette, road markings, green landscape, fencing and lighting throughout — never redesign them. This film is 90 % pure kinetic camera motion and 10 % environmental beauty: aggressive low-to-high tracking shots, continuous forward motion with heavy speed blur, whip pans, snap zooms, sun flares and impact shakes. No text, no graphics, no logos — pure cinematic speed. ### CUT LIST CUT 01 | 0.00–1.00s Dynamic low-side tracking shot: red motorcycle accelerates away from a small parking area onto the winding asphalt road; lush green grass and fence posts streak past with heavy motion blur; bright sun flares at the top of the frame. **CUT 02 | 1.00–2.00s** Camera rises and locks behind the rider as the bike climbs the first gentle incline; green hills roll on both sides, a lone tree appears ahead, distant mountains and water visible on the right. **CUT 03 | 2.00–3.00s** Tight rear tracking; rider leans into a smooth left curve; the road surface and white dashed lines blur heavily; sun remains high and intense. **CUT 04 | 3.00–4.00s** Bike powers up a steeper section of road; camera stays low and centered, grass and fence posts racing past on both sides; distant valley opens on the right. **CUT 05 | 4.00–5.00s** High-speed straight section; camera drops even lower, almost road-level, capturing the red bike centered against the climbing green hillside and bright blue sky. **CUT 06 | 5.00–6.00s** Rider continues the climb; camera rises slightly and banks with the road; lush green slopes fill the left and right frame edges with strong motion blur. **CUT 07 | 6.00–7.00s** Bike approaches a crest; camera pulls back a fraction to reveal more of the endless green hills and the road stretching ahead under the bright sun. **CUT 08 | 7.00–8.00s** Rider leans into the next curve; camera swings wide then snaps back, capturing the red bike against the steep green embankment and metal guardrail. **CUT 09 | 8.00–9.00s** Tight following shot as the motorcycle accelerates past the guardrail; heavy speed blur on the grass and road surface; sun flare intensifies. **CUT 10 | 9.00–10.00s** Camera tilts upward dramatically, almost looking straight up the road; the red bike becomes smaller against the vast blue sky and white clouds while still racing forward. **CUT 11 | 10.00–11.00s** Sweeping aerial-style arc as the bike enters a wide left-hand hairpin; camera orbits slightly, revealing the full curve of the road, green slopes and distant mountains. **CUT 12 | 11.00–12.00s** High-angle tracking shot looking down on the red motorcycle as it carves the long sweeping curve; the road and guardrail form a perfect arc against the green hillside. **CUT 13 | 12.00–13.00s** Camera pulls higher still, showing the bike as a small red shape on the winding road that snakes across the vast green landscape toward distant valleys and peaks. **CUT 14 | 13.00–14.00s** Rider continues through the open hillside section; camera descends slightly and tracks from a higher three-quarter rear angle, capturing the bike, road and rolling green terrain. **CUT 15 | 14.00–15.00s** Wide high-angle shot of the motorcycle navigating the next gentle S-curve; a second distant vehicle appears briefly on the road ahead; lush green fields and scattered trees fill the frame. **CUT 16 | 15.00–16.65s Final high-speed tracking shot as the red bike continues along the open mountain road; camera gradually rises and the frame fills with bright green hills, blue sky and soft sun flare; the sequence ends on a sense of endless forward motion. ### Editing & Sound Extremely aggressive rhythm — continuous forward tracking with occasional whip pans, snap zooms and speed ramps, heavy motion blur on every surface, strong sun flares and subtle impact shakes on every crest or curve. No text, no graphics, no slow-motion. BGM / Audio: electronic / indie-pop beat with driving drums, bright synths and rising energy that matches the speed of the bike. Engine roar, wind whooshes and tire sound on asphalt are locked to the picture as rhythmic elements. Peak energy in the middle curves and end with a bright, open sonic release. Premium AAA quality, photorealistic cinematic rendering, pure speed and freedom aesthetic, consistent red sportbike and rider design, exactly 16 cuts.show more

The realism in Seedance 2.5 is amazing Prompt: 15-Second... Cinematic Hawaii Travel Vlog A cinematic 15-second tropical travel vlog montage featuring the same beautiful 20-year-old East Asian woman with dark hair enjoying a dreamy summer vacation in Hawaii. Maintain perfect character consistency throughout every shot: same face, dark hairstyle, youthful appearance, natural makeup, realistic skin texture, elegant summer styling, and relaxed happy expressions. Visual style: authentic luxury travel diary, realistic handheld camera movement, candid moments, soft golden-hour sunlight, dreamy 35mm film aesthetic, warm vintage color grading, shallow depth of field, natural atmospheric lighting, subtle film grain, realistic autofocus, natural motion blur, cinematic storytelling. 4K, 24fps, 35mm lens, photorealistic, travel documentary aesthetic. Scene 1 — Arrival & Beach Walk (0–4s) Bright Hawaiian morning. The woman walks through a colorful tropical street lined with palm trees, wearing a flowing floral summer dress and sunglasses. Camera follows her from behind, then smoothly moves to a close-up as she turns and smiles naturally. Wind gently moves her dark hair. Quick transition toward the ocean. Scene 2 — Beach & Tropical Nature (4–8s) She walks barefoot along a wide sandy beach as crystal-blue waves touch her feet. Low-angle shot of her footsteps in wet sand, followed by a cinematic shot of her near a rocky ocean cliff looking peacefully toward the sea. Palm trees sway in golden sunlight, with subtle lens flare and distant volcanic mountains. Scene 3 — Ocean Adventure & Cafe Moment (8–12s) She laughs naturally while floating on a surfboard in calm turquoise water. Water-level camera circles around her, sunlight sparkling across the ocean and tropical mountains in the distance. Cut smoothly to her sitting at a cozy beachfront cafe, holding a tropical drink while watching the waves. Scene 4 — Golden Sunset Ending (12–15s) Emotional cinematic ending. Wide silhouette of the woman standing barefoot at the shoreline during a glowing orange-pink sunset. Waves gently move around her feet. Camera slowly pushes in as she looks toward the horizon, then briefly turns toward the camera with a peaceful smile. End with a soft filmic fade. Camera: authentic travel vlog cinematography, handheld movement, smooth transitions, slow push-ins, occasional POV shots, realistic autofocus adjustments, subtle motion blur. Keep the woman identical in every scene: same facial features, same dark hair, same youthful appearance, same body proportions, realistic skin texture and natural expressions. No character morphing or hairstyle changes. Avoid: cartoon/CGI appearance, plastic skin, unrealistic face, inconsistent character, changing hairstyle, extra fingers, distorted anatomy, artificial movements, oversaturated colors, excessive sharpening, blurry face, duplicate people, unnatural lighting.show more

wait for what the bride says at the end..... Seedance 2.5 is getting ridiculous made in Fish Creative prompt below 👇 SCENE CONTEXT: A groom in a white tuxedo is late to his own wedding. He sprints across a blooming cliff-top garden with a bouquet of red roses and launches off a 50-meter green sea cliff in a huge, soaring swan dive. A drone hangs high above him, looking straight down as he falls toward a turquoise cove where his bride and guests wait on a floating wedding platform. He knifes into the sea right beside them, climbs aboard soaking wet and hands her the bouquet. She looks him up and down: "You're late." Fast, epic, funny, feel-good. Duration 15s. CHARACTERS AND PROPS: Groom: early 30s, athletic build, olive skin, short dark slicked-back hair, trimmed beard, white tuxedo jacket, black trousers, black bow tie, white shirt, black leather shoes. Holds the bouquet in his right hand. Identical every frame, no morphing, no drift. Bride: early 30s, long dark hair in a loose low bun with small white flowers, fitted ivory satin wedding dress, bare shoulders, small gold earrings. Bouquet: round bouquet of deep red roses and white baby's breath, tied with an ivory ribbon, normal hand-held size. Wedding platform: square floating wooden wedding deck 12m x 12m, white chairs in rows, a white flower arch at the front, a steel swim ladder on the cliff-facing side, anchored in the cove. LOCATION MAP: Mediterranean sea cliff, golden late afternoon. Cliff top: a short garden terrace of magenta bougainvillea, purple lavender, orange marigolds, lemon trees and bright green grass, ending at a low whitewashed stone wall with ivy. Cliff face: 50 meters of sheer rock covered in green shrubs, hanging flowers and white seagulls. Cove below: crystal-clear turquoise water fading to deep blue, sunlit sandy bottom near the rocks, wedding platform floating 12 meters from the cliff base. Background: green headlands, a white hillside village, open sea, warm blue sky. Foreground, midground and background read as separate layers in every shot. SCALE LOCK: Cliff is 50 meters tall, roughly 27 times the groom's height. From the top, the wedding platform reads as a tiny white square on turquoise water and the guests as small dots. The bouquet stays normal hand-held size. FIRST FRAME / BLOCKING: Non-empty opening frame: the groom is already at full sprint toward camera across the flower terrace, frame-center, tuxedo tails flaring, bouquet raised high in his right hand, bougainvillea petals bursting around his legs, the open sea and sky behind him. Nothing is frozen. Rule of thirds. FORMAT MODE: Timed multishot, exactly TWO HARD CUTS, at 0:03 and 0:10. Shot 1 real-time. Shot 2 slow motion, one speed start to finish. Shot 3 real-time. Each shot is one unbroken take. The camera does not cut on its own. OPTICS: SHOT 1 (0:00–0:03): wide at 84° FOV, FPV drone flying backward 2 meters in front of the groom, no drift mid-segment. SHOT 2 (0:03–0:10): super-wide at 107° FOV, top-down overhead drone 4 meters above the groom looking straight down, zero distortion, straight rectilinear edges, deep focus, no drift mid-segment. SHOT 3 (0:10–0:15): medium-wide at 47° FOV, low angle at deck level on the wedding platform, no drift mid-segment. 180° shutter motion blur, rectilinear with anamorphic optical flares from the low sun. CAMERA: Shot 1: FPV drone reverses fast in front of him across the terrace, then rises and swings over his head as his foot hits the wall, operator axis on the shadow side. Shot 2: overhead drone locked straight down above him, falling in perfect sync, groom centered in frame with arms spread, the whole cove, wedding platform and cliff base spread out far below and slowly growing. Shot 3: handheld at deck level with 1–2cm tremor, a fast push-in as he climbs the ladder, settling on the couple. Wide tonal latitude, soft highlight roll-off. ACTION: 0:00–0:02: The groom sprints four long explosive strides across the terrace, ducks a lemon branch, scatters petals. 0:02–0:03: He plants his left foot on top of the whitewashed wall and drives off with full force, launching high and far out over the sea, arms sweeping wide. HARD CUT 0:03. 0:03–0:08: Slow motion, top-down. A long, soaring swan dive: back arched, chest open, arms spread wide like wings, legs together and straight, toes pointed. Bouquet held out in his right hand, red rose petals peeling off and swirling up past the lens. Tuxedo jacket ripples in waves, bow tie flutters. Three white seagulls glide beneath him. Far below, the tiny guests turn their faces upward and point. 0:08–0:10: Still slow motion. He rotates smoothly into a tight feet-first pencil, arms locked overhead with bouquet raised, dropping away from the camera toward the turquoise water. HARD CUT 0:10. 0:10–0:11: Real time. He knifes into the water 4 meters from the wedding platform, a tall white splash column erupting, rose petals drifting down onto the foam. 0:11–0:13: He bursts up through the surface, bouquet held high, grabs the ladder and hauls himself onto the deck in one move, tuxedo streaming water, hair plastered to his forehead. 0:13–0:15: The bride stands under the flower arch, arms crossed, looks him slowly up and down and takes the bouquet. She delivers her line. He grins and delivers his. Guests burst out laughing and cheering, a burst of white petals launching over the arch. PERFORMANCE: The groom sprints with fierce urgency: jaw set, eyes locked on the sea. Mid-dive his face is calm and focused, breaking into a wild grin before the tuck. On deck he is breathless, chest heaving, grinning sheepishly. The bride keeps a stern face, one eyebrow raised, lips pressing hard to fight a smile, the corner of her mouth finally twitching up. Guests react with real surprise: hands on heads, jaws dropping, phones raised. Pore-level realism: vellus hair, asymmetric moles, capillary flush, seawater beading on skin and beard, wet living eyes with catch-lights, visible breath and chest rise. Restrained and human, never cartoonish. Top-tier cinematic restraint. PHYSICS: Mass and inertia carry through the sprint, takeoff and dive: a strong push-off from the wall, a clean high arc, then gravity taking over. In slow motion every petal tumbles with its own spin and weight and fabric ripples in smooth waves. Water entry throws a tall splash column and a ring of white foam, droplets falling back for two seconds. Soaked fabric clings and streams water, wet footprints spread on the wood. Wedding platform rocks gently when he climbs aboard. No floating props. Correct contact shadows. LIGHTING: Low golden-hour sun from frame-left, warm rim light on hair, skin, petals and spray, his long shadow stretching across the turquoise water in the overhead shot, sun glints dancing across the cove, caustic light patterns on the sandy seabed. WB locked 5200K. Camera on the shadow side. Soft sea haze 10% over the far headlands. COLOR GRADE: Lush emerald greens of grass and cliff shrubs as the base. Magenta bougainvillea, purple lavender, orange marigolds and yellow lemons glowing in the warm light. Crystal turquoise water deepening to cobalt. Crisp white tuxedo, ivory dress and white platform as the bright center. Deep red roses and red petal swirl as the hero accent. Golden skin tones. Rich, vivid, sun-kissed, never neon. Color tied to source and surface, not a flat list. AUDIO: Music and SFX. Score: a punchy upbeat orchestral-percussion track kicking in on frame one with a hard drum hit, building fast through the sprint. On the takeoff the music cuts to total silence, then one soaring sustained string note through the slow-motion dive with soft wind and seagull cries. On the splash the full track drops back in with a huge brass-and-drum hit and runs bright through the ending. SFX: dress shoes slapping stone, branches whipping, a sharp scrape on the wall at takeoff, deep water impact boom, rushing bubbles, gasping breath, dripping water, ladder clank, guests gasping then roaring with laughter. Dialogue in English: Bride, arms crossed, deadpan: "You're late." Groom, breathless, grinning, dripping: "Traffic." No subtitles. WARDROBE: Groom's tuxedo stays white with black trousers and bow tie, fully soaked after the dive. Bride's ivory satin dress stays dry and clean. Flowers stay in her hair throughout. STYLE: 8K photorealistic. No 3D render, no game engine, no game-cutscene aesthetic. Premium cinematic commercial look with real stunt-footage energy, naturalistic master cinematography, fine film grain. OUTPUT SETTINGS: 15 seconds, 16:9, 24fps playback. Shot 2 rendered as smooth high-frame-rate slow motion. Fine film grain. Smooth FPV texture in Shots 1 and 2. Natural handheld texture in Shot 3. POSITIVE LOCKS: Exactly two hard cuts, at 0:03 and 0:10. Shot 2 is slow motion start to finish. Shots 1 and 3 are real time. Shot 2 stays straight top-down the whole time. Same groom face, build and tuxedo across every cut. Same bride face, hair and dress throughout. Bouquet stays in the groom's right hand until he hands it to the bride, normal hand-held size, losing petals only during the dive. He enters the water feet-first, clear of the platform. Wedding platform stays anchored, white, and in the same spot. Flowers, greenery and water stay vivid and natural throughout. Eyes stay natural. No eye glow. Contact shadows read clearly on stone, deck and water. Clean frame with no logos, no UI, no text overlays, no subtitles. The couple keep a small distance from each other at the end. The video ends on the bride holding the bouquet with her stern face cracking into a smile, the groom dripping and grinning, guests laughing under the petal burst and the music at full swell.show more

Two cinematic prompts for Seedance 2.0 right here 👇... [STYLE + CAMERA + ATMOSPHERE] Ultra-photorealistic cinematic 15-second action sequence from a grounded action thriller film. Nighttime at an abandoned industrial train yard. Old trains, rusted tracks, broken platforms and warehouses. Strong moonlight and industrial lighting. The visual language is gritty and realistic with hyper-realistic practical destruction. Camera is handheld-dynamic with urgent moves. [IMAGE REFERENCES] No reference images provided. Generate a fully consistent lead character: a male fugitive in his mid-30s, short hair, intense expression. He wears a dark jacket, jeans and boots. Maintain exact same appearance and clothing throughout the clip. [TIMELINE SECOND BY SECOND] 0-3s: [Dynamic handheld tracking shot from side-rear] The man runs across the train yard as a freight train derails violently after hitting a collapsed section of track. Massive train cars tip over and crash into the ground, sending metal, wood and cargo flying. The camera tracks him urgently as the destruction spreads. 3-7s: [Slow continuous orbiting camera moving around the frozen destruction] At the peak of the derailment, everything freezes in perfect realistic physics. Huge train cars, twisted metal, wooden debris and clouds of dust hang motionless in the air with accurate weight and trajectories. The camera performs a smooth, continuous orbit through the frozen chaos, moving between large suspended train cars and passing close to sharp metal fragments while the man remains visible. 7-15s: [Dynamic tracking shot as time resumes] At the 7-second mark time snaps back to forward motion with a slight realistic temporal residue. Some outer debris shows a very subtle reverse lag before continuing. The man has used the frozen moment to dive behind a concrete barrier. When motion resumes, several large pieces of metal miss him. He stays low and runs toward an open warehouse as debris finally crashes down. The camera tracks with him through the dust. [STYLE & QUALITY BOOSTERS] Photorealistic 8K, hyper-realistic rigid body destruction with correct material properties (metal, wood, train parts), perfect frozen mid-air physics, seamless transition from freeze to resume, natural dust interaction, heavy cinematic motion blur on fast debris, stable character performance, movie-level practical destruction VFX quality.show more