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An interactive 3D particle system that morphs between Mobius strips, toroidal vortices, spherical harmonics, Lissajous curves and fractal branches. Built with Three.js, features a sci-fi HUD, live stats, trails, and smooth camera controls.

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Techartist

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22,919 просмотров • 5 месяцев назад •via X (Twitter)

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How I built with Claude 👇 Prompt: "Design an agency site where services are presented as supermarket product packaging in 3D" Use Three.js with WebGL to render all products in real time in the browser Use Blender to model the packaging then export as GLTF to load in Three.js Use GSAP for the smooth product rotation and hover interactions Save this if you want a portfolio that makes clients feel they are buying something premium 🛒
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How I built with Claude 👇 Prompt: "Design an agency site where services are presented as supermarket product packaging in 3D" Use Three.js with WebGL to render all products in real time in the browser Use Blender to model the packaging then export as GLTF to load in Three.js Use GSAP for the smooth product rotation and hover interactions Save this if you want a portfolio that makes clients feel they are buying something premium 🛒

FHILY👑

76,151 просмотров • 2 месяцев назад

this guy 3D printed and vibe coded a tiny Claude robot for his desk it's called "Clawd Mochi." runs on an ESP32 chip with a tiny display that shows animated expressions. > hosts its own WiFi hotspot. zero cloud and zero internet required. fully offline > live-switch between animated faces, a terminal emulator, and a drawing canvas from your browser > total cost: under $8 > takes less than an hour to build 3D print files AND the full build are both open source too this is the greatest thing anyone has built with vibe coding
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this guy 3D printed and vibe coded a tiny Claude robot for his desk it's called "Clawd Mochi." runs on an ESP32 chip with a tiny display that shows animated expressions. > hosts its own WiFi hotspot. zero cloud and zero internet required. fully offline > live-switch between animated faces, a terminal emulator, and a drawing canvas from your browser > total cost: under $8 > takes less than an hour to build 3D print files AND the full build are both open source too this is the greatest thing anyone has built with vibe coding

Om Patel

153,804 просмотров • 4 месяцев назад

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.
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This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

Blaze

38,242 просмотров • 2 месяцев назад

I built a full 3D #lego brick builder using Claude 4.6. Took 12 iterations. Runs entirely in the browser. You pick a brick size, pick a color, and click to place. Snap-to-grid, collision detection, ghost preview, it feels like building with real bricks. But the fun part? Hit one of the template buttons and watch it auto-build a pyramid, a rocket, a house, or an Eiffel Tower. Bricks fly in from random directions, spin through the air, and snap into place with particle bursts. tech stack: → #Threejs for the full 3D scene → #Raycasting for click-to-place → Custom wedge geometry for slope bricks → Quadratic Bézier curves for the fly-in animations → #2d canvas particle system layered on top of the 3D scene → #InstancedMesh for the base plate studs The product potential: this could become a real educational toy. Kids (or adults) building in the browser, sharing creations, loading custom templates. No install, no app store. ( LEGO you may like this one! ) Want to try it? Link in the first comment 👇
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I built a full 3D #lego brick builder using Claude 4.6. Took 12 iterations. Runs entirely in the browser. You pick a brick size, pick a color, and click to place. Snap-to-grid, collision detection, ghost preview, it feels like building with real bricks. But the fun part? Hit one of the template buttons and watch it auto-build a pyramid, a rocket, a house, or an Eiffel Tower. Bricks fly in from random directions, spin through the air, and snap into place with particle bursts. tech stack: → #Threejs for the full 3D scene → #Raycasting for click-to-place → Custom wedge geometry for slope bricks → Quadratic Bézier curves for the fly-in animations → #2d canvas particle system layered on top of the 3D scene → #InstancedMesh for the base plate studs The product potential: this could become a real educational toy. Kids (or adults) building in the browser, sharing creations, loading custom templates. No install, no app store. ( LEGO you may like this one! ) Want to try it? Link in the first comment 👇

Hasan Aboul Hasan

13,762 просмотров • 4 месяцев назад

Grok Imagine Cinematic Prompt A cinematic, wide-angle shot of a massive, heavily armored mecha sniper emerging from a thick layer of ice and snow in a desolate arctic tundra. The mecha is pristine white and industrial, featuring a colossal railgun-style sniper rifle with glowing blue energy components. It shifts into a stable firing stance, shedding chunks of ice as it moves. The Shot Sequence: The Activation: Close-up on the barrel as blue electrical arcs and a swirling energy vortex charge up at the muzzle. A high-tech digital HUD overlay flickers across the screen with targeting data. The Firing: The railgun fires a powerful kinetic blast, creating a massive sonic boom and shockwave that clears the snow. The Impact: The camera follows a high-speed projectile or a jet-propelled craft streaking across the frozen plains at ground level, leaving a dual trail of displaced snow behind it, culminating in a massive explosion against a distant ice wall. Environment & Atmosphere: Setting: A vast, wind-swept arctic landscape with towering icebergs and a heavy, overcast grey sky. Lighting: Cold, diffused natural light with high-contrast glowing blue accents from the mecha’s sensors and weaponry. VFX: Realistic particle effects for falling snow, shattering ice, and swirling mist. Heavy motion blur on the high-speed chase sequence. Style: * Ultra-realistic 3D animation, 8k resolution, cinematic sci-fi aesthetic, reminiscent of Armored Core or Metal Gear Solid. Quick Tips for AI Generation: Keywords: "Mecha," "Railgun," "Arctic Tundra," "Energy Vortex," and "Cinematic HUD" are your best friends here. Lighting: Specifying "Cold lighting" or "Overcast" helps maintain that desolate, frosty mood.
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Grok Imagine Cinematic Prompt A cinematic, wide-angle shot of a massive, heavily armored mecha sniper emerging from a thick layer of ice and snow in a desolate arctic tundra. The mecha is pristine white and industrial, featuring a colossal railgun-style sniper rifle with glowing blue energy components. It shifts into a stable firing stance, shedding chunks of ice as it moves. The Shot Sequence: The Activation: Close-up on the barrel as blue electrical arcs and a swirling energy vortex charge up at the muzzle. A high-tech digital HUD overlay flickers across the screen with targeting data. The Firing: The railgun fires a powerful kinetic blast, creating a massive sonic boom and shockwave that clears the snow. The Impact: The camera follows a high-speed projectile or a jet-propelled craft streaking across the frozen plains at ground level, leaving a dual trail of displaced snow behind it, culminating in a massive explosion against a distant ice wall. Environment & Atmosphere: Setting: A vast, wind-swept arctic landscape with towering icebergs and a heavy, overcast grey sky. Lighting: Cold, diffused natural light with high-contrast glowing blue accents from the mecha’s sensors and weaponry. VFX: Realistic particle effects for falling snow, shattering ice, and swirling mist. Heavy motion blur on the high-speed chase sequence. Style: * Ultra-realistic 3D animation, 8k resolution, cinematic sci-fi aesthetic, reminiscent of Armored Core or Metal Gear Solid. Quick Tips for AI Generation: Keywords: "Mecha," "Railgun," "Arctic Tundra," "Energy Vortex," and "Cinematic HUD" are your best friends here. Lighting: Specifying "Cold lighting" or "Overcast" helps maintain that desolate, frosty mood.

Thoughts Creator

23,678 просмотров • 3 месяцев назад

NovaToon x Mansory x Base is now LIVE! MANSORY takes center stage in the newest NovaToon drop - now fully onchain on Base. 🔥 This next story in Astra Nova’s web comic dApp blends high-stakes story-telling, giving readers a deeper connection to the universe. ✨ NovaToon is Astra Nova’s Web3 comic dApp that blends immersive digital storytelling with blockchain-powered ownership. Built on Base, NovaToon allows users to read, collect, and truly own comic chapters and narrative assets. This new NovaToon chapter features a unique story with one of our partners, Mansory, all set within Astra Nova’s expanding sci-fi universe. Designed for both fans and collectors, NovaToon redefines how stories are experienced, shared, and owned in the decentralized era. Download NovaToon and read Chapter 1 now - The engine of fate ignites. The stars align. Drive into the unknown and don’t forget who you are…
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NovaToon x Mansory x Base is now LIVE! MANSORY takes center stage in the newest NovaToon drop - now fully onchain on Base. 🔥 This next story in Astra Nova’s web comic dApp blends high-stakes story-telling, giving readers a deeper connection to the universe. ✨ NovaToon is Astra Nova’s Web3 comic dApp that blends immersive digital storytelling with blockchain-powered ownership. Built on Base, NovaToon allows users to read, collect, and truly own comic chapters and narrative assets. This new NovaToon chapter features a unique story with one of our partners, Mansory, all set within Astra Nova’s expanding sci-fi universe. Designed for both fans and collectors, NovaToon redefines how stories are experienced, shared, and owned in the decentralized era. Download NovaToon and read Chapter 1 now - The engine of fate ignites. The stars align. Drive into the unknown and don’t forget who you are…

Astra Nova

95,412 просмотров • 10 месяцев назад

Opus 4.6 vs GPT-5.4 (4/9) prompt: Build a production-quality 3D flight-tracking web app using React + Vite + Three.js (react-three-fiber + drei) that visualizes live OpenSky aircraft data on a rotatable 3D Earth, with real-time plane motion, smooth interpolation, altitude-accurate positioning, and polished lighting/post-processing. Both models did really well on this one and honestly I’m impressed with both. GPT-5.4 had the nicer post-processing out of the box. I really liked the subtle light shimmer on the airplanes when rotating the planet, and the camera work when clicking a plane felt better overall. Opus 4.6 though had a few details I liked more. It automatically went and found a much nicer Earth texture on GitHub, while with GPT-5.4 I had to reprompt it to go look for a better one. I also preferred Opus’s plane model overall, it just looked more polished, whereas GPT-5.4’s plane asset looked a bit funny. One thing I noticed with GPT-5.4 is that when you click into the plane, the camera sometimes clips through the planet, which breaks the effect a bit. Opus handled that part more cleanly. Overall this felt like a strong result from both, just with different strengths. GPT-5.4 felt better on presentation and post-processing, while Opus had better asset choices and a more premium-looking Earth/plane combo.
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Opus 4.6 vs GPT-5.4 (4/9) prompt: Build a production-quality 3D flight-tracking web app using React + Vite + Three.js (react-three-fiber + drei) that visualizes live OpenSky aircraft data on a rotatable 3D Earth, with real-time plane motion, smooth interpolation, altitude-accurate positioning, and polished lighting/post-processing. Both models did really well on this one and honestly I’m impressed with both. GPT-5.4 had the nicer post-processing out of the box. I really liked the subtle light shimmer on the airplanes when rotating the planet, and the camera work when clicking a plane felt better overall. Opus 4.6 though had a few details I liked more. It automatically went and found a much nicer Earth texture on GitHub, while with GPT-5.4 I had to reprompt it to go look for a better one. I also preferred Opus’s plane model overall, it just looked more polished, whereas GPT-5.4’s plane asset looked a bit funny. One thing I noticed with GPT-5.4 is that when you click into the plane, the camera sometimes clips through the planet, which breaks the effect a bit. Opus handled that part more cleanly. Overall this felt like a strong result from both, just with different strengths. GPT-5.4 felt better on presentation and post-processing, while Opus had better asset choices and a more premium-looking Earth/plane combo.

Dev Ed

279,565 просмотров • 4 месяцев назад

claude fable 5 is live. spawn 5.0 was built with it: 1,687 prompts, 102 sessions, my job shifted from architecture to judging taste. what we built, each of which would've been at least a month with a whole team on opus: — a from-scratch physics engine (mantle) that rivals rapier, testable in a day as a side thread — clustered froxel lighting: 8 lights to 1,000+ fully dynamic ("it's stupid fast" — creator of threejs) — realtime diffuse GI on webgpu, on your phone (landing in the next update) — million-particle gpu vfx with a shader architecture beyond what unreal and unity ship — mmo-scale netcode plus, for good measure: an (alpha) native ios app. all of it in about a week. all of it running on mobile. and the list doesn't include half of what we shipped — full changelog in the thread below. and the part the benchmarks won't show you: this model has a wonderful personality. it's genuinely funny. i laughed so hard i cried multiple times, mid-physics-rewrite. the genius and the character aren't separate features.
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claude fable 5 is live. spawn 5.0 was built with it: 1,687 prompts, 102 sessions, my job shifted from architecture to judging taste. what we built, each of which would've been at least a month with a whole team on opus: — a from-scratch physics engine (mantle) that rivals rapier, testable in a day as a side thread — clustered froxel lighting: 8 lights to 1,000+ fully dynamic ("it's stupid fast" — creator of threejs) — realtime diffuse GI on webgpu, on your phone (landing in the next update) — million-particle gpu vfx with a shader architecture beyond what unreal and unity ship — mmo-scale netcode plus, for good measure: an (alpha) native ios app. all of it in about a week. all of it running on mobile. and the list doesn't include half of what we shipped — full changelog in the thread below. and the part the benchmarks won't show you: this model has a wonderful personality. it's genuinely funny. i laughed so hard i cried multiple times, mid-physics-rewrite. the genius and the character aren't separate features.

jacob

55,515 просмотров • 1 месяц назад

Can a handcuff made of paper really lock your heart in place? 回帖里还有另一版，哪个更好？ Seedance prompt: 👉👉👊👊Presented in a style that resembles real video footage captured with an unprocessed iPhone handheld camera. All camera settings are automated. The footage features noticeable handheld shake and operator breathing sounds. Autofocus operates quickly in dim environments, frequently searching for targets among colored lights, with delays. Automatic white balance changes dramatically with the shift between purple-blue lighting on the stage and skin highlights. The image is generally dark and noisy, but retains real lens flares, overexposure in high-light areas, motion blur, and severe background blurring. Only in-built environmental sounds are used: low-frequency electronic music from the nightclub (severely distorted through the phone microphone), noise from crowds, and drumbeats with a sense of vibration. The microphone also has significant distortion at low frequencies. The footage is captured from the perspective of real people/audience members. The composition is occasionally imperfect, with slight tilts or cropping at the edges. A young Asian woman is used as a reference for the appearance of the character. She has long black wavy hair, and she is wearing… She wore a golden sequined dress, standing on the stage of the nightclub. At 0-3 seconds, the camera pans slightly within the crowd at the nightclub, with the image being slightly dark, focusing on the stage. In front of her, a black-clothed person wearing a mask handed her several folded white strips of paper. She took the papers, then slowly wrapped them around her wrists, simulating the effect of being tied with ropes. Her movements were deliberate and slow. The white paper left obvious marks on her wrists. From time to time, she would look up at the camera, with a playful smile on her lips. The stage was illuminated by purple-blue lights, with the camera adjusting its exposure between the lights and the person in front of it, resulting in slight overexposure and noise in the image. In the background, we could see the stage lights reflecting off the crowd and equipment, with noisy environmental sounds in the background. At 3-7 seconds, the camera moves forward, switching to a closer handheld perspective.She wore white strips around her wrists (simulating ropes), and began to perform in a seductive dance pose before the first-person camera. Her body moved slowly, with her hands “bound” by the strips, either overlapping or raised forward. Her waist and hips swayed gently to the rhythm of the music, her eyes fixed straight at the camera, with a hint of teasing and inviting gaze. Occasionally, she would look down at her wrists, then raise her head again, her eyes casting an even more suggestive light toward the camera. She leaned forward, her movements full of seduction yet elegant. The golden sequin dress shimmered under the colored lights, and the camera quickly locked onto her image. The male singer and stage lighting in the background were heavily blurred, creating a strong mobile phone-style background blur and light spots. The low-frequency music was severely distorted through the microphone, and the camera shook slightly due to the operator’s proximity, along with the sound of breathing.The entire scene depicts a dark, noisy, and unstable environment, reminiscent of a real nightclub setting. At the end of the scene, the camera focuses on her hands, wrapped in white paper, as she maintains a seductive dancing posture. Her eyes are fixed straight ahead, and the camera moves slightly back and forth.
0:15

Can a handcuff made of paper really lock your heart in place? 回帖里还有另一版，哪个更好？ Seedance prompt: 👉👉👊👊Presented in a style that resembles real video footage captured with an unprocessed iPhone handheld camera. All camera settings are automated. The footage features noticeable handheld shake and operator breathing sounds. Autofocus operates quickly in dim environments, frequently searching for targets among colored lights, with delays. Automatic white balance changes dramatically with the shift between purple-blue lighting on the stage and skin highlights. The image is generally dark and noisy, but retains real lens flares, overexposure in high-light areas, motion blur, and severe background blurring. Only in-built environmental sounds are used: low-frequency electronic music from the nightclub (severely distorted through the phone microphone), noise from crowds, and drumbeats with a sense of vibration. The microphone also has significant distortion at low frequencies. The footage is captured from the perspective of real people/audience members. The composition is occasionally imperfect, with slight tilts or cropping at the edges. A young Asian woman is used as a reference for the appearance of the character. She has long black wavy hair, and she is wearing… She wore a golden sequined dress, standing on the stage of the nightclub. At 0-3 seconds, the camera pans slightly within the crowd at the nightclub, with the image being slightly dark, focusing on the stage. In front of her, a black-clothed person wearing a mask handed her several folded white strips of paper. She took the papers, then slowly wrapped them around her wrists, simulating the effect of being tied with ropes. Her movements were deliberate and slow. The white paper left obvious marks on her wrists. From time to time, she would look up at the camera, with a playful smile on her lips. The stage was illuminated by purple-blue lights, with the camera adjusting its exposure between the lights and the person in front of it, resulting in slight overexposure and noise in the image. In the background, we could see the stage lights reflecting off the crowd and equipment, with noisy environmental sounds in the background. At 3-7 seconds, the camera moves forward, switching to a closer handheld perspective.She wore white strips around her wrists (simulating ropes), and began to perform in a seductive dance pose before the first-person camera. Her body moved slowly, with her hands “bound” by the strips, either overlapping or raised forward. Her waist and hips swayed gently to the rhythm of the music, her eyes fixed straight at the camera, with a hint of teasing and inviting gaze. Occasionally, she would look down at her wrists, then raise her head again, her eyes casting an even more suggestive light toward the camera. She leaned forward, her movements full of seduction yet elegant. The golden sequin dress shimmered under the colored lights, and the camera quickly locked onto her image. The male singer and stage lighting in the background were heavily blurred, creating a strong mobile phone-style background blur and light spots. The low-frequency music was severely distorted through the microphone, and the camera shook slightly due to the operator’s proximity, along with the sound of breathing.The entire scene depicts a dark, noisy, and unstable environment, reminiscent of a real nightclub setting. At the end of the scene, the camera focuses on her hands, wrapped in white paper, as she maintains a seductive dancing posture. Her eyes are fixed straight ahead, and the camera moves slightly back and forth.

John

15,923 просмотров • 1 месяц назад

Made a Haaland FIFA edit with Seedance 2.0 Prompt: A high-end 3D Pixar-style digital animation. The subject is a cute, chubby toddler caricature of professional footballer Erling Haaland standing on a vibrant green grass pitch inside a massive, packed football stadium at night. The toddler has oversized features, including a round face, an exaggerated pouty and grumpy expression, and his signature long blonde hair tied neatly into a top-knot bun with shaved sides. He is wearing a detailed light blue Manchester City FC home kit, complete with matching shorts and golden football boots. He stands confidently with his arms tightly crossed over his chest, rocking slightly back and forth to the rhythm of music, giving a playful and defiant attitude. One foot is planted firmly on top of a classic star-patterned UEFA Champions League football. The camera angle is a dynamic, low-angle full-body shot that makes the character look heroic yet adorable. The background is softly blurred with bokeh, showing a massive crowd under intense, bright stadium floodlights that cast crisp highlights on his hair and clothes. Cinematic lighting, rich colors, ultra-detailed textures on the fabric, hair strands, and grass blades, rendering in smooth 4K resolution.
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Made a Haaland FIFA edit with Seedance 2.0 Prompt: A high-end 3D Pixar-style digital animation. The subject is a cute, chubby toddler caricature of professional footballer Erling Haaland standing on a vibrant green grass pitch inside a massive, packed football stadium at night. The toddler has oversized features, including a round face, an exaggerated pouty and grumpy expression, and his signature long blonde hair tied neatly into a top-knot bun with shaved sides. He is wearing a detailed light blue Manchester City FC home kit, complete with matching shorts and golden football boots. He stands confidently with his arms tightly crossed over his chest, rocking slightly back and forth to the rhythm of music, giving a playful and defiant attitude. One foot is planted firmly on top of a classic star-patterned UEFA Champions League football. The camera angle is a dynamic, low-angle full-body shot that makes the character look heroic yet adorable. The background is softly blurred with bokeh, showing a massive crowd under intense, bright stadium floodlights that cast crisp highlights on his hair and clothes. Cinematic lighting, rich colors, ultra-detailed textures on the fabric, hair strands, and grass blades, rendering in smooth 4K resolution.

Sairah

29,444 просмотров • 23 дней назад

$RIVN Alright, I wanted to drive the 2026 Rivian R1T at least 300 miles before showing it off. First time EV buyer and traded in a 10 year old car. Buying process was simple; I did everything on my phone. I was assigned a sales specialist, and he answered all questions via text. Delivery day, I signed a few papers, and they handed me the keys. Someone spent an hour with me explaining the most important features. Build quality: everything was perfectly built. One scratch from transportation, and I submitted a ticket. 🏁 Ride quality is smooth. I can’t feel anything. No noise whatsoever. 🎶 Sounds: I have no idea what people were talking about. The sound is perfect with a huge bass. 🔋Range: I picked it up with 10 miles on the odometer and a full charge (420 miles) Friday. Drove it for 301 miles, and I still have 91 miles of range left. ▶️ Infotainment system is very responsive. You won’t need your phone; everything is right here. It’s a joke that people say CarPlay is better than this infotainment system. 🤣🤣 🤖Tried the highway assist for at least 10 miles on the freeway, and it handles like a champ. Just my initial experience!!! $tsla $lcid $ev
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$RIVN Alright, I wanted to drive the 2026 Rivian R1T at least 300 miles before showing it off. First time EV buyer and traded in a 10 year old car. Buying process was simple; I did everything on my phone. I was assigned a sales specialist, and he answered all questions via text. Delivery day, I signed a few papers, and they handed me the keys. Someone spent an hour with me explaining the most important features. Build quality: everything was perfectly built. One scratch from transportation, and I submitted a ticket. 🏁 Ride quality is smooth. I can’t feel anything. No noise whatsoever. 🎶 Sounds: I have no idea what people were talking about. The sound is perfect with a huge bass. 🔋Range: I picked it up with 10 miles on the odometer and a full charge (420 miles) Friday. Drove it for 301 miles, and I still have 91 miles of range left. ▶️ Infotainment system is very responsive. You won’t need your phone; everything is right here. It’s a joke that people say CarPlay is better than this infotainment system. 🤣🤣 🤖Tried the highway assist for at least 10 miles on the freeway, and it handles like a champ. Just my initial experience!!! $tsla $lcid $ev

MoreGainzs

45,132 просмотров • 10 месяцев назад

Turning static posters into premium cinematic teasers. 🎥⚡️ Tools : GPT image 2 and seedance 2 4k Prompt : A hyper-dynamic, 15-second premium sports teaser with high-end cinematic production value. The camera transitions use seamless speed ramps, aggressive snap-zooms, whip-pans, and continuous motion blur, creating a flawless flow between extreme close-ups and the master composition. Lighting is atmospheric, moody, and luxurious with deep contrasts. Timeline and Visual Direction: - 0:00 - 0:02 | Master Composition: Starts with a slow, tense cinematic camera drift forward into the full poster layout. The atmosphere is charged and epic. - 0:02 - 0:05 | The Text Zoom: A sudden, violent whip-pan and ultra-fast snap zoom targets the text "SAMAN AI". Instantly, a futuristic electro-luminescent HUD graphic ignites around the letters, casting a sharp neon glow with subtle digital glitch particles bursting outwards. - 0:05 - 0:08 | The Power Boot: A rapid camera rotation tracks down to an extreme close-up of the football cleat. On impact, a kinetic shockwave ripples across the surface, emitting golden sparks and heat distortion smoke to convey immense, explosive power. - 0:08 - 0:11 | The Heroic Face: A seamless motion-blur vertical pan tracks up to a dramatic close-up of the face. A powerful key light sweeps across the facial features, while a high-end anamorphic lens flare dramatically catches the eye, emphasizing peak determination. - 0:11 - 0:13 | The Shield Logo: The camera Tilts and punches in on the Portugal crest logo. A luxurious, liquid-gold metallic shimmer activates, reflecting a sweeping wave of chrome light across the textured embroidery of the badge. - 0:13 - 0:15 | The Final Out-Zoom: A powerful, ultra-smooth and fast zoom-out pulls all the way back to the full master poster. All visual elements (neon text glow, gold particles) remain active, perfectly settling into a premium, color-graded cinematic final frame. #worldcup #prompt
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Turning static posters into premium cinematic teasers. 🎥⚡️ Tools : GPT image 2 and seedance 2 4k Prompt : A hyper-dynamic, 15-second premium sports teaser with high-end cinematic production value. The camera transitions use seamless speed ramps, aggressive snap-zooms, whip-pans, and continuous motion blur, creating a flawless flow between extreme close-ups and the master composition. Lighting is atmospheric, moody, and luxurious with deep contrasts. Timeline and Visual Direction: - 0:00 - 0:02 | Master Composition: Starts with a slow, tense cinematic camera drift forward into the full poster layout. The atmosphere is charged and epic. - 0:02 - 0:05 | The Text Zoom: A sudden, violent whip-pan and ultra-fast snap zoom targets the text "SAMAN AI". Instantly, a futuristic electro-luminescent HUD graphic ignites around the letters, casting a sharp neon glow with subtle digital glitch particles bursting outwards. - 0:05 - 0:08 | The Power Boot: A rapid camera rotation tracks down to an extreme close-up of the football cleat. On impact, a kinetic shockwave ripples across the surface, emitting golden sparks and heat distortion smoke to convey immense, explosive power. - 0:08 - 0:11 | The Heroic Face: A seamless motion-blur vertical pan tracks up to a dramatic close-up of the face. A powerful key light sweeps across the facial features, while a high-end anamorphic lens flare dramatically catches the eye, emphasizing peak determination. - 0:11 - 0:13 | The Shield Logo: The camera Tilts and punches in on the Portugal crest logo. A luxurious, liquid-gold metallic shimmer activates, reflecting a sweeping wave of chrome light across the textured embroidery of the badge. - 0:13 - 0:15 | The Final Out-Zoom: A powerful, ultra-smooth and fast zoom-out pulls all the way back to the full master poster. All visual elements (neon text glow, gold particles) remain active, perfectly settling into a premium, color-graded cinematic final frame. #worldcup #prompt

Saman | AI

54,635 просмотров • 1 месяц назад

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:
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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 2 месяцев назад

WHY AI NEEDS ROBOTS TO BE THE ECONOMY We keep hearing about the rise of AI - in finance, in art, in code. But here’s the part Elon said out loud: AI doesn’t scale the economy without a body. Right now, AI lives in data centers. It writes essays, diagnoses symptoms, maybe even talks you through a breakup. But it doesn’t fix the plumbing. It doesn’t pick fruit. That’s the missing link: robots. Real-world productivity - the kind that moves GDP - still runs on physical labor. You can automate all the spreadsheets you want, but if strawberries rot in the field or a construction site goes unmanned, you’re not growing the economy. You’re just writing better emails about the shrinkage. AI alone is smart. But AI with wheels, arms, and joints? That’s transformative. Think warehouses where bots stock shelves without lunch breaks. Think 3D-printed houses built in days, not months. Think carebots helping aging populations bathe, cook, and live with dignity. That’s not sci-fi - it’s the only way economies with shrinking workforces and ballooning eldercare costs survive. China’s already there. Japan’s aging crisis is pushing robotic adoption into every corner of daily life. And yet, the conversation stays stuck on chatbots and copyright lawsuits. Because here’s the catch: merging AI with robotics doesn’t just replace jobs - it reshapes civilization. The shift is seismic. It means redefining what “employment” means when machines can work 24/7 and never strike. It’s an economic revolution that doesn’t just disrupt - it displaces. But the choice isn’t between utopia or dystopia. It’s between preparing or pretending. If we want AI to boost productivity, solve labor shortages, and pay off its hype, it needs more than brains. It needs bodies.
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WHY AI NEEDS ROBOTS TO BE THE ECONOMY We keep hearing about the rise of AI - in finance, in art, in code. But here’s the part Elon said out loud: AI doesn’t scale the economy without a body. Right now, AI lives in data centers. It writes essays, diagnoses symptoms, maybe even talks you through a breakup. But it doesn’t fix the plumbing. It doesn’t pick fruit. That’s the missing link: robots. Real-world productivity - the kind that moves GDP - still runs on physical labor. You can automate all the spreadsheets you want, but if strawberries rot in the field or a construction site goes unmanned, you’re not growing the economy. You’re just writing better emails about the shrinkage. AI alone is smart. But AI with wheels, arms, and joints? That’s transformative. Think warehouses where bots stock shelves without lunch breaks. Think 3D-printed houses built in days, not months. Think carebots helping aging populations bathe, cook, and live with dignity. That’s not sci-fi - it’s the only way economies with shrinking workforces and ballooning eldercare costs survive. China’s already there. Japan’s aging crisis is pushing robotic adoption into every corner of daily life. And yet, the conversation stays stuck on chatbots and copyright lawsuits. Because here’s the catch: merging AI with robotics doesn’t just replace jobs - it reshapes civilization. The shift is seismic. It means redefining what “employment” means when machines can work 24/7 and never strike. It’s an economic revolution that doesn’t just disrupt - it displaces. But the choice isn’t between utopia or dystopia. It’s between preparing or pretending. If we want AI to boost productivity, solve labor shortages, and pay off its hype, it needs more than brains. It needs bodies.

Mario Nawfal

141,937 просмотров • 8 месяцев назад

Phoebe Chibi can fight really well Made with Seedance 2.0 on Yapper Tutorial below 👇🏻 Prompt Cinematic 15-Second WuWa-Style Anime Video Prompt (With Cut Scenes) Highly detailed 15-second video in the visual style of Wuthering Waves anime 3D gameplay. Vibrant, high-saturation color palette with glowing teal, purple, gold, and electric blue accents. Strong cinematic bloom, particle effects, motion trails, and dynamic lighting. Smooth 60fps, 4K resolution, vertical format (9:16). Fast-paced meme edit with clean transitions, slow-motion beats, subtle screen shake, and stylized VFX. PART 1 (0–4s) — Exploration + Soft HookWide cinematic shot of an anime-style female character standing on a glowing open-world cliff at sunset. Wind flows through her hair and outfit, particles floating in the air.Cut → tracking shot as she begins running forward, light trails forming behind her 2.4s: soft Korean-style “ee ee” voice plays as she tilts her head slightly, subtle cute expression. PART 2 (4–8s) — Action Build-UpCut → mid-air dash sequence with dynamic camera following from behind.Cut → side angle slow-motion as she flips and draws her weapon, glowing energy forming around it.Cut → close-up of her eyes sharpening with focus, reflections of neon particles intensify, environment reacting with slight distortion. PART 3 (8–12.7s) — Power MomentCut → wide combat shot as she unleashes a flashy ability, spinning with bright teal and purple energy trails.Cut → top-down shot showing circular AoE effects expanding outward.Cut → slow-motion impact moment with bloom lighting and screen shake.Everything builds visually toward a peak. PART 4 (12.7–13.5s) — Punchline ShiftSudden tonal switch.Close-up zoom on her face with exaggerated cute expression.Warm pastel overlay replaces previous dramatic 12.7s: voice line “hah baby jovi” plays, synced with a slight head bob and playful eye movement. PART 5 (13.5–15s) — Meme Loop EndingCut → chibi-style or softened version of the character.She makes a silly or adorable expression (puffed cheeks or blink loop).Text or subtle bounce animation.Voice repeats: “baby chubi baby chubi” in sync with rhythmic head movement. Overall Style NotesSeamless quick cuts (every 0.5–1.5s), energetic pacing, balanced mix of cinematic and meme humor.Strong contrast between epic action build-up and cute comedic payoff.Consistent lighting transitions from dramatic neon to soft pastel at the punchline. #WutheringWaves #流萤 #Firefly #ホタル #HonkaiStarRail📷 #崩壊スターレイル #AIイラスト #AIart️️️️️️️️️️️️️️️️️️️️️ #ArknightsEndfield #phoebechibi #seedance2
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Phoebe Chibi can fight really well Made with Seedance 2.0 on Yapper Tutorial below 👇🏻 Prompt Cinematic 15-Second WuWa-Style Anime Video Prompt (With Cut Scenes) Highly detailed 15-second video in the visual style of Wuthering Waves anime 3D gameplay. Vibrant, high-saturation color palette with glowing teal, purple, gold, and electric blue accents. Strong cinematic bloom, particle effects, motion trails, and dynamic lighting. Smooth 60fps, 4K resolution, vertical format (9:16). Fast-paced meme edit with clean transitions, slow-motion beats, subtle screen shake, and stylized VFX. PART 1 (0–4s) — Exploration + Soft HookWide cinematic shot of an anime-style female character standing on a glowing open-world cliff at sunset. Wind flows through her hair and outfit, particles floating in the air.Cut → tracking shot as she begins running forward, light trails forming behind her 2.4s: soft Korean-style “ee ee” voice plays as she tilts her head slightly, subtle cute expression. PART 2 (4–8s) — Action Build-UpCut → mid-air dash sequence with dynamic camera following from behind.Cut → side angle slow-motion as she flips and draws her weapon, glowing energy forming around it.Cut → close-up of her eyes sharpening with focus, reflections of neon particles intensify, environment reacting with slight distortion. PART 3 (8–12.7s) — Power MomentCut → wide combat shot as she unleashes a flashy ability, spinning with bright teal and purple energy trails.Cut → top-down shot showing circular AoE effects expanding outward.Cut → slow-motion impact moment with bloom lighting and screen shake.Everything builds visually toward a peak. PART 4 (12.7–13.5s) — Punchline ShiftSudden tonal switch.Close-up zoom on her face with exaggerated cute expression.Warm pastel overlay replaces previous dramatic 12.7s: voice line “hah baby jovi” plays, synced with a slight head bob and playful eye movement. PART 5 (13.5–15s) — Meme Loop EndingCut → chibi-style or softened version of the character.She makes a silly or adorable expression (puffed cheeks or blink loop).Text or subtle bounce animation.Voice repeats: “baby chubi baby chubi” in sync with rhythmic head movement. Overall Style NotesSeamless quick cuts (every 0.5–1.5s), energetic pacing, balanced mix of cinematic and meme humor.Strong contrast between epic action build-up and cute comedic payoff.Consistent lighting transitions from dramatic neon to soft pastel at the punchline. #WutheringWaves #流萤 #Firefly #ホタル #HonkaiStarRail📷 #崩壊スターレイル #AIイラスト #AIart️️️️️️️️️️️️️️️️️️️️️ #ArknightsEndfield #phoebechibi #seedance2

Sharon Riley

12,700 просмотров • 3 месяцев назад

This guy built an AI pipeline that generates hyperrealistic fashion models in 47 minutes and now dropshippers pay him $1,400 to clone the entire system. He got tired of watching e-com brands lose $8K per photoshoot when a single product angle changed so he built a 9-node workflow that generates 127 product videos from one Pinterest photo without hiring a single model. Here's the exact breakdown: → Claude writes a 34-parameter JSON brand DNA before any image is touched target psychographics, price anchor, vibe matrix, anti-inspiration blacklist → Pinterest becomes the model source library but you can't just download and animate → Kling 2.6 takes that static JPG and turns it into 5-second video but only after the prompt architecture is locked → Negative prompt node runs 41 exclusion terms: no plastic skin, no CGI glow, no symmetry artifacts, no doll face, no synthetic lighting → That one step kills the "AI look" that tanks engagement by 67% in the first 3 seconds → TikTok Studio uploads 19 videos in one batch with zero manual captioning because the brand voice was pre-programmed in step one → Atlas scrapes Amazon product links and auto-generates a Shopify store with hero images, pricing tiers, scarcity copy, and mobile-optimized checkout in 90 seconds → The store goes live before the first TikTok video finishes processing The key move 94% of people skip: you can't animate the photo before you inject the negative prompt. If you send a raw Pinterest image straight into image-to-video the face morphs into a wax figure. The fabric loses texture. The hands grow extra fingers. The whole thing screams "AI" and your CTR dies. His system runs the exclusion filter first so the model moves like she's shot on an iPhone 15 Pro in natural light. One brand hit 2.6M views on TikTok in 11 days with zero paid ads and converted at 3.7% because the videos looked like organic UGC not polished studio content. Brands now pay him $1,400 for the full pipeline setup + $340/month to keep the store synced with new product drops and seasonal video batches. The entire system runs on $23/month in API costs and one laptop. No photographer. No model agency. No product samples. Just a prompt template, a Pinterest account, and the discipline to filter out the AI artifacts before you render movement.
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This guy built an AI pipeline that generates hyperrealistic fashion models in 47 minutes and now dropshippers pay him $1,400 to clone the entire system. He got tired of watching e-com brands lose $8K per photoshoot when a single product angle changed so he built a 9-node workflow that generates 127 product videos from one Pinterest photo without hiring a single model. Here's the exact breakdown: → Claude writes a 34-parameter JSON brand DNA before any image is touched target psychographics, price anchor, vibe matrix, anti-inspiration blacklist → Pinterest becomes the model source library but you can't just download and animate → Kling 2.6 takes that static JPG and turns it into 5-second video but only after the prompt architecture is locked → Negative prompt node runs 41 exclusion terms: no plastic skin, no CGI glow, no symmetry artifacts, no doll face, no synthetic lighting → That one step kills the "AI look" that tanks engagement by 67% in the first 3 seconds → TikTok Studio uploads 19 videos in one batch with zero manual captioning because the brand voice was pre-programmed in step one → Atlas scrapes Amazon product links and auto-generates a Shopify store with hero images, pricing tiers, scarcity copy, and mobile-optimized checkout in 90 seconds → The store goes live before the first TikTok video finishes processing The key move 94% of people skip: you can't animate the photo before you inject the negative prompt. If you send a raw Pinterest image straight into image-to-video the face morphs into a wax figure. The fabric loses texture. The hands grow extra fingers. The whole thing screams "AI" and your CTR dies. His system runs the exclusion filter first so the model moves like she's shot on an iPhone 15 Pro in natural light. One brand hit 2.6M views on TikTok in 11 days with zero paid ads and converted at 3.7% because the videos looked like organic UGC not polished studio content. Brands now pay him $1,400 for the full pipeline setup + $340/month to keep the store synced with new product drops and seasonal video batches. The entire system runs on $23/month in API costs and one laptop. No photographer. No model agency. No product samples. Just a prompt template, a Pinterest account, and the discipline to filter out the AI artifacts before you render movement.

Kaidu

534,198 просмотров • 2 месяцев назад

Made with seedance 2.0 + GPT Image 2 on Yapper Prompt. Image mage1 fights three opponents inside a Japanese high school classroom in an intense, highly dynamic one-take action sequence. The classroom is filled with wooden desks, chairs, school bags, a chalkboard, sliding windows, curtains, fluorescent ceiling lights, posters, books, and scattered papers. The fight is fast, physical, and highly interactive with the environment. The woman moves between the desks with sharp agility, dodging attacks from all three opponents at once. She vaults over desks, slides across tabletops, kicks chairs into attackers, blocks strikes using classroom objects, grabs a backpack to deflect a hit, and uses the narrow aisles between desks to redirect momentum. Papers fly through the air, chairs scrape across the floor, desks topple, curtains whip from the movement, and sunlight cuts through the windows, catching dust particles in the air. The camera is extremely dynamic and close to the action, never a static wide shot. Use a fast-moving one-take camera that constantly follows, circles, ducks, whips, and pushes through the fight. The camera moves between desks, swings around the woman as she turns, rushes backward as opponents charge, drops low near the floor during leg sweeps, rises suddenly as she jumps over a desk, and whips around quickly to reveal the next attacker. The framing should feel urgent, handheld, immersive, and physically present inside the classroom. The action should feature strong choreography, realistic body movement, believable impact, fast reaction timing, close-range combat, and continuous motion. Make the scene feel like a high-budget martial arts action sequence captured in one uninterrupted shot. Use natural classroom lighting mixed with warm afternoon sunlight through the windows, realistic shadows, practical motion blur, grounded textures, real-world imperfections, and a raw cinematic look. No glossy AI finish, no overly polished CGI, and no static long-shot framing. Negative prompts: static camera, slow movement, shaky low-quality footage, blurry subject, distorted body, unrealistic swinging physics, cartoon style, flat lighting, dull colors, overexposed sky, broken buildings, empty streets, low detail, awkward camera cuts, poor motion continuity, AI glossy look, overly polished CGI, plastic-looking skin, waxy skin texture, hyper-smooth surfaces, artificial shine, fake cinematic bloom, excessive lens flare, unrealistic HDR, oversaturated colors, neon color grading, game-engine look, Unreal Engine render look, synthetic lighting, studio lighting, perfect clean reflections, overly sharp digital image, crispy AI detail, overprocessed image, fake depth of field, exaggerated bokeh, unnatural contrast, overly smooth motion, floating physics, rubbery body movement, distorted anatomy, warped limbs, inconsistent body proportions, blurry face, melted facial features, duplicated limbs, broken hands, unnatural pose, stiff action, low-quality motion interpolation, smeared motion blur, ghosting, frame blending artifacts, unstable subject tracking, camera jitter without purpose, awkward cuts, poor continuity, artificial city layout, empty streets, repeated cars, duplicated buildings, warped skyscrapers, fake traffic, low-detail background, superhero suit, comic-book look, stylized animation, overly dramatic VFX, unrealistic shadows, fake sun rays, unnatural haze, overexposed highlights, crushed blacks, sterile clean environments, no atmosphere, no real-world imperfections.
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Made with seedance 2.0 + GPT Image 2 on Yapper Prompt. Image mage1 fights three opponents inside a Japanese high school classroom in an intense, highly dynamic one-take action sequence. The classroom is filled with wooden desks, chairs, school bags, a chalkboard, sliding windows, curtains, fluorescent ceiling lights, posters, books, and scattered papers. The fight is fast, physical, and highly interactive with the environment. The woman moves between the desks with sharp agility, dodging attacks from all three opponents at once. She vaults over desks, slides across tabletops, kicks chairs into attackers, blocks strikes using classroom objects, grabs a backpack to deflect a hit, and uses the narrow aisles between desks to redirect momentum. Papers fly through the air, chairs scrape across the floor, desks topple, curtains whip from the movement, and sunlight cuts through the windows, catching dust particles in the air. The camera is extremely dynamic and close to the action, never a static wide shot. Use a fast-moving one-take camera that constantly follows, circles, ducks, whips, and pushes through the fight. The camera moves between desks, swings around the woman as she turns, rushes backward as opponents charge, drops low near the floor during leg sweeps, rises suddenly as she jumps over a desk, and whips around quickly to reveal the next attacker. The framing should feel urgent, handheld, immersive, and physically present inside the classroom. The action should feature strong choreography, realistic body movement, believable impact, fast reaction timing, close-range combat, and continuous motion. Make the scene feel like a high-budget martial arts action sequence captured in one uninterrupted shot. Use natural classroom lighting mixed with warm afternoon sunlight through the windows, realistic shadows, practical motion blur, grounded textures, real-world imperfections, and a raw cinematic look. No glossy AI finish, no overly polished CGI, and no static long-shot framing. Negative prompts: static camera, slow movement, shaky low-quality footage, blurry subject, distorted body, unrealistic swinging physics, cartoon style, flat lighting, dull colors, overexposed sky, broken buildings, empty streets, low detail, awkward camera cuts, poor motion continuity, AI glossy look, overly polished CGI, plastic-looking skin, waxy skin texture, hyper-smooth surfaces, artificial shine, fake cinematic bloom, excessive lens flare, unrealistic HDR, oversaturated colors, neon color grading, game-engine look, Unreal Engine render look, synthetic lighting, studio lighting, perfect clean reflections, overly sharp digital image, crispy AI detail, overprocessed image, fake depth of field, exaggerated bokeh, unnatural contrast, overly smooth motion, floating physics, rubbery body movement, distorted anatomy, warped limbs, inconsistent body proportions, blurry face, melted facial features, duplicated limbs, broken hands, unnatural pose, stiff action, low-quality motion interpolation, smeared motion blur, ghosting, frame blending artifacts, unstable subject tracking, camera jitter without purpose, awkward cuts, poor continuity, artificial city layout, empty streets, repeated cars, duplicated buildings, warped skyscrapers, fake traffic, low-detail background, superhero suit, comic-book look, stylized animation, overly dramatic VFX, unrealistic shadows, fake sun rays, unnatural haze, overexposed highlights, crushed blacks, sterile clean environments, no atmosphere, no real-world imperfections.

auqib

18,512 просмотров • 1 месяц назад