Oogie

@oggii_0 • 17,625 subscribers

Generative AI & AI Creator | AI Workflows, Automation, AI Art, AI Video, DM for Sponsorships & Partnerships Seedance 2.0, Claude, ChatGPT

Shorts

I used a movement sheet as a reference image to animate the dance using Seedance 2.0 + GPT image 2.0 GPT Image 2.0 prompt: [STYLE] Monochrome grayscale illustration, 3D-rendered character, clean instructional reference sheet, white background, comic-style cell grid layout, technical diagram aesthetic. [LAYOUT] 4×4 grid layout with a total of 16 panels. Each panel is separated by thin black border lines. Cells are numbered from 1 to 16, with consistent panel sizes. [CHARACTER] image1 (the same character appears consistently in all panels) [PANEL STRUCTURE – per cell] Top-left: bold number badge + English title text Center: full-body character pose illustration Bottom-left: English description text (3–4 lines) Overlay: directional arrows indicating movement [ARROWS / MOTION INDICATORS] Curved arrows, straight arrows, and circular rotation indicators placed around the character to show motion flow and direction. [RENDERING STYLE] Highly detailed 3D sculpted style, soft studio lighting, subtle shadows, no color, grayscale shading, clean linework, game concept art quality. [NEGATIVE] No background scenery, no color tones, no additional characters, no complex background.

353,433 views

Seedance 2.0 is on demon time. If you still doubt AI Gaming, you’re already outdated.

483,270 views

Motion graphics created by using Seedance 2.0 on Nsketch AI Prompt ⤵️ Ultra-sleek motion design sequence. Pure black background throughout. White-on-black minimal aesthetic. No cuts — one single continuous unbroken visual evolution. Locked-off static center frame, no camera movement. All motion occurs within the subject. Self-luminous white forms on absolute black, no grain, no shadows. 0–1s [ORIGIN]: A single white point materializes at center frame. It pulses once — three concentric rings ripple outward like a heartbeat and dissolve into black. 1–2s [LINE]: The point stretches into a razor-thin white horizontal line extending edge to edge with elastic ease-out motion. 2–4s [GRID → CIRCLE]: The line multiplies into a precise grid of nine parallel horizontal and vertical lines appearing in staggered succession. The grid warps — outer lines curve inward, the structure rotates, straight lines bend into arcs, converging into a perfect geometric circle outline. 4–6s [WIREFRAME → SOLID SPHERE]: The circle extrudes into a 3D wireframe sphere, every latitude and longitude line crisp, slowly rotating on its vertical axis. The wireframe fills in smoothly — dissolving into a solid white surface with a soft specular highlight in the upper-left quadrant. 6–8s [INTERFACE]: The sphere flattens and unfolds into a clean rectangular plane — a minimal phone interface with rounded corners. Abstract UI elements appear inside: status bar, a grid of rounded app icons, home indicator bar. White line art on black. 8–10s [CUBE → BLOOM]: The interface folds inward, collapsing into an isometric wireframe cube that tumbles once. The cube's six faces peel outward simultaneously, each becoming a smooth white elliptical petal — blooming open like a flower in zero gravity. 10–12s [VORTEX]: The flower dissolves into hundreds of tiny white particles orbiting the center in a controlled elliptical vortex, some clockwise, some counterclockwise, each following a precise mathematical path, flickering softly. 12–13s [WATCH]: The particles decelerate and self-organize — converging and snapping into position to assemble the silhouette of a wristwatch: a clean rectangular case outline with lugs, built entirely from particles. 13–14s [COLLAPSE]: The watch dissolves into fluid white ribbons that compress into a single dense white sphere. It pulses once — brighter than before — then collapses rapidly inward to a single brilliant point. 14–15s [LOGO]: The point holds for one silent beat. Then it expands into a clean minimal brand logo — white sans-serif letterforms on black. A single pulse of warm amber light blooms from center behind the logo, fades to black. White text remains. Style: luxury tech brand motion identity, Bauhaus-minimalist, mathematical precision. Mood: calm, inevitable, intelligent, premium.

331,024 views

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.

60,884 views

Crafted with GPT image 2 + Seedance 2.0 on SocialSight Prompt: Ultra-realistic cinematic WWII battlefield, single continuous tracking shot, 15 seconds, no cuts. Use the attached first frame as strict visual reference for environment, lighting, atmosphere, and composition. Remove all guide overlays: no blue route line, no numbers, no start/end text, no markers. Camera begins handheld behind a soldier's shoulder as he charges through muddy trenches in driving rain. Smoke, debris, and bullet impacts throw mud into the air. He weaves past destroyed equipment and dives behind Czech hedgehog barricades alongside allied soldiers. Camera rotates around him briefly — revealing the full battlefield scale: WWII fighter planes crossing storm clouds, smoke columns, tanks advancing, thousands of soldiers pushing toward a massive concrete fortress wall. Camera returns behind him as he moves forward. He sprints toward the armored line. Tanks roll past on both sides, cannons firing with huge muzzle flashes and shockwaves. Enemy fire from the wall sends sparks and concrete fragments flying. He jumps onto a moving tank, runs across its muddy hull, ducks under fire, leaps off toward the fortress base. Camera follows dynamically with low-angle running shots, controlled explosion shake, cinematic motion blur. At the wall base, camera tilts upward showing the fortress height. He fires a grappling hook, climbs the wall — boots scraping concrete, dust falling from bullet impacts, sparks around him. As he reaches the top, camera rises over his shoulder revealing a massive hidden military complex beyond: endless rows of tanks, armored vehicles, supply trucks, bunkers, searchlights, fires, smoke columns stretching to the horizon. Final frame pulls to a wide aerial shot showing the true scale of war. Cold gray-blue color grading, volumetric smoke, wet mud, rain, practical explosions, film-grain texture. No modern weapons, no fantasy elements, no text overlays, no cartoon style.

55,321 views

$Seedance 2.5 is now available on Higgsfield AI 🧩 Prompt: Montage, multi-shot candid observational footage. Do not use a single camera angle or continuous take. Handheld documentary style with the feeling of accidental real-life capture. Slightly imperfect framing, subtle handheld shake, tiny reframing adjustments, gentle exposure breathing, and autofocus that settles half a beat late. Realistic skin texture, soft indoor natural light, film grain, shallow depth of field. Relaxed breathing, natural blinking, restrained and authentic performance. Total of 7 shots. The woman from @ Image 1 is wearing a matching cotton pajama set consisting of a scoop-neck sleeveless top and loose shorts made from the same fabric and design. Barefoot, she lies on her stomach across a lived-in, slightly messy bed in her bedroom, browsing a mobile shopping page on a black smartphone. A house cat jumps onto the bed seeking attention, and she affectionately plays with it. Moments later, a friend calls. She answers, chats, and eventually bursts into laughter. The doorbell rings, so she ends the call and gets up to collect her dinner. Shot 1 (0–2s): She is already moving. One thumb scrolls through a shopping page while she frowns slightly, thinking. She quietly mutters in Korean: "아, 뭐 살랬더라…" ("Ah... what was I going to buy again?"). Lips synchronize naturally. Her bare feet gently sway behind her. A low handheld camera glides along the edge of the mattress, with soft bedding partially obscuring the foreground. Shot 2 (2–4s): The house cat jumps onto the bed, compressing the blanket as it walks toward her forearm and lets out a single meow. The camera gives a slight jolt from the impact, then quickly reframes from the phone to an over-the-shoulder view that includes her face, hands, phone, and cat. Shot 3 (4–6s): She turns warmly toward the cat, stroking it once from its forehead to its shoulders. In a gentle, affectionate tone she says: "우리 애기 왔어?" ("Did my baby come?"). Lip sync is clear and natural. The camera pushes in briefly through the cat's softly blurred foreground toward her face and hand. Shot 4 (6–8s): A friend's ringtone sounds. She glances down, confirms the caller, swipes to answer, and brings the phone to her ear. The camera moves in a loose semicircle from a slightly tilted overhead angle, capturing the entire answering motion. Shot 5 (8–11s): Her friend begins talking. She responds first with confusion, then disbelief: "어, 왜? 진짜 거짓말." ("Huh? Why? No way, you're kidding."). Immediately afterward she naturally bursts into laughter. The cat kneads the blanket beside her. A close handheld side angle keeps both her phone and profile within the same focal plane. Shot 6 (11–13s): A clear doorbell interrupts the laughter. Both she and the cat turn toward the bedroom door. She braces one hand on the mattress to get up. The camera reacts a fraction too late, briefly turning toward the door before naturally correcting back to her rising movement. Shot 7 (13–15s): Still on the phone, she hurriedly says: "어, 나 밥 왔다. 끊어." ("My food's here. I'll hang up."). She ends the call with her thumb, gets off the bed, and walks toward the door while the cat follows across the blankets. The camera slides low beneath her elbow and tilts upward as she stands in one continuous motion. Sound: No music. Only raw production sound: bedding rustling, quiet breathing, finger taps on the phone, the soft impact of the cat jumping onto the bed, one natural meow, faint purring, a single short incoming ringtone, call connection tone, the friend's voice through the phone, the woman's four Korean lines with accurate lip sync, a genuine brief laugh, one clear doorbell, the tap ending the call, and soft cat footsteps. No subtitles, no on-screen text, no logo, no watermark. Never render a reference sheet or duplicate the subject.$

Seedance 2.5 is now available on Higgsfield AI 🧩 Prompt: Montage, multi-shot candid observational footage. Do not use a single camera angle or continuous take. Handheld documentary style with the feeling of accidental real-life capture. Slightly imperfect framing, subtle handheld shake, tiny reframing adjustments, gentle exposure breathing, and autofocus that settles half a beat late. Realistic skin texture, soft indoor natural light, film grain, shallow depth of field. Relaxed breathing, natural blinking, restrained and authentic performance. Total of 7 shots. The woman from @ Image 1 is wearing a matching cotton pajama set consisting of a scoop-neck sleeveless top and loose shorts made from the same fabric and design. Barefoot, she lies on her stomach across a lived-in, slightly messy bed in her bedroom, browsing a mobile shopping page on a black smartphone. A house cat jumps onto the bed seeking attention, and she affectionately plays with it. Moments later, a friend calls. She answers, chats, and eventually bursts into laughter. The doorbell rings, so she ends the call and gets up to collect her dinner. Shot 1 (0–2s): She is already moving. One thumb scrolls through a shopping page while she frowns slightly, thinking. She quietly mutters in Korean: "아, 뭐 살랬더라…" ("Ah... what was I going to buy again?"). Lips synchronize naturally. Her bare feet gently sway behind her. A low handheld camera glides along the edge of the mattress, with soft bedding partially obscuring the foreground. Shot 2 (2–4s): The house cat jumps onto the bed, compressing the blanket as it walks toward her forearm and lets out a single meow. The camera gives a slight jolt from the impact, then quickly reframes from the phone to an over-the-shoulder view that includes her face, hands, phone, and cat. Shot 3 (4–6s): She turns warmly toward the cat, stroking it once from its forehead to its shoulders. In a gentle, affectionate tone she says: "우리 애기 왔어?" ("Did my baby come?"). Lip sync is clear and natural. The camera pushes in briefly through the cat's softly blurred foreground toward her face and hand. Shot 4 (6–8s): A friend's ringtone sounds. She glances down, confirms the caller, swipes to answer, and brings the phone to her ear. The camera moves in a loose semicircle from a slightly tilted overhead angle, capturing the entire answering motion. Shot 5 (8–11s): Her friend begins talking. She responds first with confusion, then disbelief: "어, 왜? 진짜 거짓말." ("Huh? Why? No way, you're kidding."). Immediately afterward she naturally bursts into laughter. The cat kneads the blanket beside her. A close handheld side angle keeps both her phone and profile within the same focal plane. Shot 6 (11–13s): A clear doorbell interrupts the laughter. Both she and the cat turn toward the bedroom door. She braces one hand on the mattress to get up. The camera reacts a fraction too late, briefly turning toward the door before naturally correcting back to her rising movement. Shot 7 (13–15s): Still on the phone, she hurriedly says: "어, 나 밥 왔다. 끊어." ("My food's here. I'll hang up."). She ends the call with her thumb, gets off the bed, and walks toward the door while the cat follows across the blankets. The camera slides low beneath her elbow and tilts upward as she stands in one continuous motion. Sound: No music. Only raw production sound: bedding rustling, quiet breathing, finger taps on the phone, the soft impact of the cat jumping onto the bed, one natural meow, faint purring, a single short incoming ringtone, call connection tone, the friend's voice through the phone, the woman's four Korean lines with accurate lip sync, a genuine brief laugh, one clear doorbell, the tap ending the call, and soft cat footsteps. No subtitles, no on-screen text, no logo, no watermark. Never render a reference sheet or duplicate the subject.

27,627 views

Seedance 2.0 4k on Invideo Prompt: STYLE: Miniature Tiny-Person FX, photorealistic live-action, cinematic macro photography, ultra-shallow depth of field, bright modern convenience store, realistic fluorescent lighting, ultra-detailed 8K, vertical 9:16, dynamic viral short-video style. DURATION: 15 seconds. SETTING: A huge modern convenience store packed with towering shelves of colorful snack bags, instant noodles, bottled drinks, soda cans, candy, cereal boxes, refrigerators, shopping baskets, and hanging price tags. Everything feels enormous from the perspective of a palm-sized woman. CHARACTER: One athletic miniature woman (1:15 scale), identical appearance throughout: lightweight adventure jacket, cargo pants, sneakers, utility backpack, same face, hairstyle, proportions, and size in every shot. 00:00–00:03 — Snack Shelf Swing Standing on a giant chip bag, she sprints and leaps toward a hanging price tag, grabs it with both hands, swings across the aisle, and launches onto the next shelf. The tag swings behind her. Camera: Low-angle macro tracking. SFX: Plastic crinkles, tiny footsteps, rushing air, swinging tag. 00:03–00:06 — Bottle Cap Parkour She lands on a giant drink bottle and parkours across colorful bottle caps. One bottle wobbles beneath her; she regains balance and performs a forward flip onto the next shelf. Camera: Fast side-tracking macro. SFX: Footsteps, bottle creaks, liquid slosh, hard landings. 00:06–00:09 — Shopping Basket Zipline She grabs a hanging promotional cord and ziplines above snacks and noodles. Releasing at the perfect moment, she lands inside a moving shopping basket among giant chocolate bars and noodle cups. Camera: Overhead to low-angle transition. SFX: Zipline whistle, wind, basket wheels, impact. 00:09–00:12 — Runaway Soda Can A giant soda can rolls inside the basket. She jumps onto it, balances like a surfer, and rides it across the polished floor, narrowly avoiding shoppers' shoes, baskets, and scattered snacks. Camera: Ultra-low floor-level macro tracking. SFX: Rolling metal, wind, store ambience. 00:12–00:15 — Victory Finale Using the rolling can as a launch ramp, she leaps to a freezer handle, swings up, and stands triumphantly on top of the freezer. The massive store stretches behind her as sparkling particles appear and large golden text reads: "CHALLENGE COMPLETE" She raises one fist while the camera slowly pulls back, emphasizing her tiny scale. Camera: Cinematic pullback. SFX: Leap whoosh, metallic grab, victory chime, sparkles, store ambience. VISUAL REQUIREMENTS: Maintain a consistent 1:15 miniature scale, realistic physics, smooth continuous action, photorealistic packaging, authentic reflections, cinematic macro DOF, and consistent character identity. No animation, cartoons, narration, subtitles, outfit changes, or scale inconsistencies.

44,528 views

Gemini Nano Banana Pro + kling Ai.

147,098 views

Bullet time effect using Seedance 2.0 Prompt: Bullet time effect. A businessman in white shirt and black tie slipping and falling backwards on icy wet street in Wall Street, New York. Coffee cup standing on ground, liquid exploding outward frozen in mid-air. Ice chunks, water droplets, and coffee splash all completely suspended — time is frozen. Tall buildings on both sides creating a canyon effect. Camera smoothly orbits 360 degrees around the falling man at low ground level angle, only the camera moves while everything else remains perfectly still. Cinematic, overcast dramatic lighting, wide angle lens distortion.

88,300 views

AI isn't coming for filmmaking. It's already here. Made with Seedance 2.0 on Flova ai Prompt: Main subject: young Japanese woman, early 20s, natural everyday appearance, faded sage-green sleeveless crop top, loose relaxed-fit cropped trousers, white canvas sneakers, thin gold chain necklace, black straight hair in a low messy bun with face-framing strands. Realistic skin texture, minimal makeup, soft and gentle personality. Maintain consistent identity, clothing, hairstyle, and appearance throughout the entire video. Location: Authentic Japanese residential neighborhood during a calm late morning. Narrow paved streets, low-rise wooden and stucco homes, small entryways with potted plants, bicycles leaning against walls, vending machine absent, utility poles, tangled overhead wires, mature trees casting moving shadows, quiet suburban atmosphere. No stores, advertisements, cafés, crowds, or commercial activity. Visual Style: Ultra-realistic documentary realism. Genuine candid behavior. Natural body language. Unscripted slice-of-life feeling. Strong environmental authenticity. Rich real-world details and believable human motion. Camera Style: Early-2000s consumer DV camcorder aesthetic. Friend casually recording everyday moments. Heavy handheld shake, imperfect framing, frequent autofocus hunting, lens breathing, exposure pumping when moving between sun and shade, occasional motion blur, subtle rolling shutter, mild digital compression artifacts, faded colors, soft contrast, slight sensor noise. No stabilization. No cinematic camera moves. No modern color grading. 00:00–00:02 Outside a small house entrance. She sits on a low wooden step tying her sneaker laces. A light breeze moves loose strands of hair. She smiles naturally while the camera struggles to hold focus. 00:02–00:04 The camera follows her into a narrow street lined with potted plants and low walls. She notices a stray cat approaching and crouches down. Framing drifts off-center as the operator tries to keep up. 00:04–00:06 She gently pets and feeds the cat. Autofocus repeatedly shifts between her face and the animal. Morning sunlight flickers through leaves overhead. 00:06–00:08 Small front yard beside her house. She hangs laundry on a balcony rack while fabrics sway in the breeze. Exposure changes as clouds briefly pass overhead. 00:08–00:10 On a quiet engawa (wooden porch) with a ceramic tea cup. She sits comfortably watching the neighborhood, occasionally brushing hair behind her ear. Loose handheld side angle with natural camera drift. 00:10–00:12 Close side profile. Someone off-camera greets her. She turns, raises her hand, smiles warmly, and casually says, "Ohayou." The camera catches the moment slightly late. 00:12–00:15 Walking slowly down a tree-lined residential lane holding her tea cup. She notices the camera, gives a small genuine smile, then looks away and continues walking. Recording cuts abruptly to black mid-motion as if the camcorder was switched off. Audio: Natural ambient sound only — morning birds, distant scooters, light wind, leaves rustling, faint neighborhood chatter, cat sounds, footsteps on pavement, fabric moving on a balcony rack, subtle residential ambience. No music. No sound design. No narration. Goal: Authentic Japanese neighborhood life captured like a forgotten home video from the early 2000s — candid, imperfect, realistic, warm, and deeply believable.

41,473 views

Made with GPT Image 2 + Seedance 2.0 on SocialSight Generate a 16-move choreography sheet in GPT Image ↓↓↓↓↓↓ Upload it to Seedance 2.0 as the "brain" of your dance ↓↓↓↓↓↓ Your character performs the full routine instantly ↓↓↓↓↓↓ A complete K-pop dance video. Done in minutes. GPT Image 2 prompt: A colored pencil sketch style choreography sheet infographic for a K-pop solo dance. Layout: 16 steps arranged in a clean 4x4 grid, each panel showing a different dance move. Subject: A teenage Asian girl with short blunt-cut hair and bold bangs, wearing a monochrome outfit — fitted black turtleneck, wide-leg tailored trousers, chunky white platform boots, with silver chain accessories and fingerless gloves. Style: Hand-drawn colored pencil illustration, bold outlines with sharp shading, slightly angular and graphic, monochrome base with pops of electric red and silver as accent tones. Confident, editorial energy. Movement: Each frame captures sharp, punchy dance motions — arm isolations, sharp head snaps, shoulder locks, chest contractions, low lunges, toe-point poses, dramatic wrist flicks, and a signature ending freeze — with bold red arrows showing force direction and snap timing. Design: High-contrast K-pop girl crush aesthetic, grid with thin black borders, step numbers (1–16) in bold sans-serif, short captions under each frame describing the motion. Text: Title at the top — "K-POP GIRL CRUSH – 16 COUNTS – 10 SECONDS – SHARP LOCK & POP" Environment: White studio background, dramatic downlight suggestion, minimal clean shadows. Quality: High detail, crisp composition, balanced layout, editorial dance tutorial poster. Negative prompt: blurry, low quality, extra limbs, distorted anatomy, bad proportions, messy layout, overcrowded design, text errors, watermark, soft or pastel tones.

65,446 views

If you can type, you can build game assets & animations. Made with Image 2 + Seedance 2 in OiiOii AI OiiOii is officially LIVE 🚀

54,398 views

Bullet time effect using Seedance 2.0 on SocialSight Prompt: Bullet time effect. A businessman in white shirt and black tie slipping and falling backwards on an icy wet street in Wall Street, New York. Coffee cup standing on ground, liquid exploding outward frozen in mid-air. Ice chunks, water droplets, and coffee splash all completely suspended time is frozen. Tall buildings on both sides creating a canyon effect. The camera smoothly orbits 360 degrees around the falling man at low ground level angle, only the camera moves while everything else remains perfectly still. Cinematic, overcast dramatic lighting, wide angle lens distortion.

59,669 views

This would’ve been a full production not long ago. now it’s one Grok Imagine frame and a single Seedance 2.0 prompt on Higgsfield. The gap just disappeared.

51,899 views

Built a cool 3D physics receipt using Gemini. Grab the code below ⤵️

50,257 views

RIP Hollywood This cost $0.1 and my prompt in Seedance 2 to produce, the barriers to creation have just opened wide for all

45,556 views

GPT Image 2 + Gemini Omni Prompt: Use the uploaded face photo as the ONLY identity reference. Preserve exact likeness, age, facial proportions, eyes, nose, lips, skin tone, hair texture, natural skin texture and overall appearance. No face drift, no face mixing, no beautifying beyond realistic editorial retouching. Replace the generated subject with this person while keeping all other elements — setting, styling, lighting, pose, camera angle and composition — exactly as described. Create a single unified three-part vertical collage on one continuous canvas. The collage must be edge-to-edge and seamless, with no white borders, no black borders, no frames, no gutters, no dividers and no visible separation lines. All three sections should blend together as one continuous Y2K vacation sequence. The collage captures a summer night at a small seaside amusement park. Top section: A wide establishing shot shows a beachfront amusement park after dark, with a lit Ferris wheel, glowing ride signs, food stalls, scattered people and the dark sea faintly visible beyond the boardwalk. The frame should feel like a real compact-camera snapshot, slightly imperfect and candid. Middle section: A straight-on medium shot shows the person standing near a game booth or railing under bright artificial lights. They wear casual summer clothing suitable for either a man or a woman: a fitted tank or light top, relaxed shorts or low-key beach bottoms, an open shirt or zip hoodie tied loosely, and slim sunglasses pushed up on the head or hanging from the shirt. One hand holds a soft drink or cotton candy, while the other rests naturally by the side. The pose is casual and slightly playful, like a real vacation photo taken by a friend. Bottom section: A close-up detail shot shows a bench or boardwalk surface with a few personal items scattered naturally: a compact digital camera, ride tickets, a plastic cup with condensation, sunglasses, a small pouch or wallet, and a wristband. Small details like flash reflections, scratched paint, and grains of sand on the boardwalk should be visible. Lighting is mixed nighttime carnival lighting with direct on-camera flash, creating bright frontal highlights, dark falloff in the background and a raw compact-camera look. The color palette combines neon red, faded blue, warm yellow bulbs, black night sky, sun-washed denim, white cotton and reflective plastic surfaces. Captured with a small consumer compact digital camera, crisp flash exposure, slightly harsh highlights, mild digital noise and nostalgic early-2000s vacation energy.

12,797 views

I built a complete cinematic video from a single sentence. No camera. No editing software. No prompt engineering. Just a conversation with @FlovaAI. Here's the full step-by-step of how it actually works. 🧵👇

17,536 views

Create a hyper-realistic disaster video using Seedance 2.0 Prompt: This hyper-realistic urban disaster special effects film, shot with an Arri Alexa 65 camera, utilizes high-contrast lighting to create a raw, textured atmosphere, three-dimensional smoke, and a chaotic, apocalyptic rhythm. S1: A low-angle wide-angle tracking shot, filmed from a crowded street upwards, shows a gigantic, scaly snake tightly coiled around the Taipei 101 glass skyscraper, shattering its windows. S2: A close-up slides along the snake's thick scales, which rub against the building's steel structure, sparking and scattering debris. S3: A high-angle drone shot circles the top of the building, showing the snake roaring into the sky while a military helicopter fires missiles at its flanks. S4: A wide-angle shot shows a violent, multi-level explosion in the middle of the skyscraper, the snake engulfed in flames and thick black smoke.

19,673 views

Nano Banana Pro + kling 3.0 on Yapper Prompt: Use the uploaded image as the exact visual reference for product design, label, lavender placement, liquid color, milk puddle, and soft purple background .Camera Movement:Full 360° slow-motion orbit around the product.Smooth, steady circular motion.Constant speed .No shake .No sudden acceleration .No zoom in or out.Keep product centered at all times.Framing:Mid close-up product shot.Bottle remains perfectly upright and fixed in position.

14,600 views

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