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Created with Seedance 2.0 on Yapper Prompt: Cinematic continuous side-scrolling sequence, 16:9, 15 seconds. One unbroken shot — the camera tracks smoothly from left to right without cutting, following a single person through their entire day as the environment transforms seamlessly around them. Opens in a dark bedroom, alarm... going off, person stirring under covers, groggy, reaching to silence it. Moves right — a bathroom, splashing water on their face, brushing teeth, staring at themselves in the mirror for a moment. Moves right — a kitchen, coffee brewing, toast popping, eating standing up rushing, morning light coming through the window. Moves right — outside, city waking up around them, subway crowd pressing in, headphones in, eyes forward. Moves right — office lobby, elevator doors opening, rushing to their desk, coat still on, computer booting up. Moves right — deep in the workday, hunched over a desk, papers everywhere, phone ringing, coffee going cold. Moves right — lunch break, outside on a bench alone, sandwich in hand, first moment of stillness all day, eyes closing briefly toward the sun. Moves right — end of day, loosening a tie, grabbing a bag, exhaling, stepping back out into the city. Moves right — evening commute home, same subway but quieter now, face more tired, leaning against the glass. Moves right — back home, shoes off at the door, collapsing onto the couch, city lights outside the window, the person sits still for the first time all day, eyes close, room dims. Sound design matches every stage — alarm blaring, running water, coffee machine gurgling, subway rumble and crowd noise, office chatter and keyboard clicking, city ambience, evening silence. Photorealistic, IMAX cinematic quality, ultra sharp, deeply woman and relatable.Same Face as Reference Image.show more

Calira

6,042 subscribers

32,347 Aufrufe • vor 2 Monaten •via X (Twitter)

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Created with Sedance 2.0 Video Prompt : A cinematic early morning bedroom scene. A beautiful young woman is sleeping peacefully on a soft white bed inside a cozy modern room. The first golden rays of sunrise slowly enter through the curtains, casting warm light across her face. Dust particles gently float in the sunbeams. The camera slowly pushes in as she opens her eyes naturally and takes a calm breath. She sits up on the bed, stretches slightly, and places her feet on the wooden floor. Wearing a light cream-colored morning outfit, she slowly walks toward a large window. The curtains move softly with the breeze. She opens the window, and fresh morning air enters the room. Outside, green trees sway gently, birds fly across the sky, and soft sunlight illuminates the surroundings. The sound of birds singing fills the air. She closes her eyes, takes a deep breath, and smiles peacefully. Her hair moves gently in the breeze as the camera circles around her. The final shot shows her standing by the window, enjoying the quiet morning while sunlight fills the room. Style: Ultra-realistic, cinematic lighting, realistic skin details, soft shadows, shallow depth of field, smooth camera movements, warm color grading, volumetric sunlight, 4K, high detail, natural emotions, movie-quality visuals. --- Camera Shots (10 Seconds) 0–2 sec: Close-up of the sleeping girl as golden sunlight slowly reaches her face. 2–4 sec: She opens her eyes and sits up while the camera gently moves closer. 4–7 sec: She walks to the window and slowly opens it. 7–10 sec: Fresh air enters, birds sing, and she smiles peacefully while enjoying the morning. --- Voice Over "As the sun gently touches her face, a new day begins. The songs of the morning birds fill the air, and in this quiet moment, she finds peace."

Created with Sedance 2.0 Video Prompt : A cinematic early morning bedroom scene. A beautiful young woman is sleeping peacefully on a soft white bed inside a cozy modern room. The first golden rays of sunrise slowly enter through the curtains, casting warm light across her face. Dust particles gently float in the sunbeams. The camera slowly pushes in as she opens her eyes naturally and takes a calm breath. She sits up on the bed, stretches slightly, and places her feet on the wooden floor. Wearing a light cream-colored morning outfit, she slowly walks toward a large window. The curtains move softly with the breeze. She opens the window, and fresh morning air enters the room. Outside, green trees sway gently, birds fly across the sky, and soft sunlight illuminates the surroundings. The sound of birds singing fills the air. She closes her eyes, takes a deep breath, and smiles peacefully. Her hair moves gently in the breeze as the camera circles around her. The final shot shows her standing by the window, enjoying the quiet morning while sunlight fills the room. Style: Ultra-realistic, cinematic lighting, realistic skin details, soft shadows, shallow depth of field, smooth camera movements, warm color grading, volumetric sunlight, 4K, high detail, natural emotions, movie-quality visuals. --- Camera Shots (10 Seconds) 0–2 sec: Close-up of the sleeping girl as golden sunlight slowly reaches her face. 2–4 sec: She opens her eyes and sits up while the camera gently moves closer. 4–7 sec: She walks to the window and slowly opens it. 7–10 sec: Fresh air enters, birds sing, and she smiles peacefully while enjoying the morning. --- Voice Over "As the sun gently touches her face, a new day begins. The songs of the morning birds fill the air, and in this quiet moment, she finds peace."

Yashal Ai

11,454 Aufrufe • vor 1 Monat

One sound. One battle. One victory.🎧 Created with GPT image 2 and Seedance 2.0 on Creatify AI Prompt: 0–4s: An underground street dance battle is reaching its climax. A young dancer struggles to keep up as his opponent delivers an incredible performance. The crowd erupts with cheers for the rival. Sweat drips from the dancer's face as he realizes he's losing. 4–7s: He calmly steps back, reaches into his backpack, and pulls out his sleek Sony Wireless Headphones. He places them over his ears. The outside noise instantly fades into silence. Then... the beat drops. Powerful bass pulses through the headphones as colorful sound waves ripple around him in cinematic slow motion. 7–12s: His confidence transforms instantly. Every beat guides his movement with perfect precision. He launches into an unbelievable dance routine—gravity-defying flips, flawless footwork, smooth spins, and impossible freezes. Neon lights pulse with the music as the stunned crowd watches in amazement. Even his opponent can't look away. 12–15s: The music stops. The entire crowd erupts in applause. The judges raise his hand in victory. He smiles, removes one side of the headphones, and the camera cuts to a premium close-up of the Sony Wireless Headphones. A deep voice-over says: "Hear every beat. Own every moment." Fade to the Sony logo with the tagline: "Sony. Sound That Moves You." #Creatify #aimediabuyer #aitools #MarketingTips #D2CMarketing

Ai Doctor

24,659 Aufrufe • vor 21 Tagen

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

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

Rohan Paul

37,121 Aufrufe • vor 5 Monaten

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.

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 Aufrufe • vor 2 Monaten

A girl stumbled onto one of the quietest money moves on YouTube right now. $15,000 last month. 10 minutes of actual work per video. She opens YouTube, studies what kids are rewatching obsessively. Not to copy it. To understand what makes them stop and stare. That insight goes straight into Claude. Out comes a complete creative brief the character personality, the color palette, the scene, the vibe. Detailed enough to build from. Fast enough to feel like cheating. She takes that brief into Picsart. Builds the visual foundation. Gets the look exactly right. Then one prompt into Sora 2 and the video renders itself. Fluid animation. Saturated colors. Characters that move in that specific way that makes toddlers completely lose their minds. No microphone. No ring light. No editing software open at 2am. Just three apps, a creative eye, and 10 minutes she carved out between coffee and whatever else she had going on that day. The videos land on YouTube and disappear into the algorithm in the best possible way. Kids find them. Watch them again. And again. Screen time reports go crazy. YouTube keeps serving them to new households. One video pulls 2 million views. The next one pulls 3. At the end of the month the number on the screen says $15,000. She didn't build an audience. She built a system. There's a difference. And right now that difference is worth $15,000 a month.

A girl stumbled onto one of the quietest money moves on YouTube right now. $15,000 last month. 10 minutes of actual work per video. She opens YouTube, studies what kids are rewatching obsessively. Not to copy it. To understand what makes them stop and stare. That insight goes straight into Claude. Out comes a complete creative brief the character personality, the color palette, the scene, the vibe. Detailed enough to build from. Fast enough to feel like cheating. She takes that brief into Picsart. Builds the visual foundation. Gets the look exactly right. Then one prompt into Sora 2 and the video renders itself. Fluid animation. Saturated colors. Characters that move in that specific way that makes toddlers completely lose their minds. No microphone. No ring light. No editing software open at 2am. Just three apps, a creative eye, and 10 minutes she carved out between coffee and whatever else she had going on that day. The videos land on YouTube and disappear into the algorithm in the best possible way. Kids find them. Watch them again. And again. Screen time reports go crazy. YouTube keeps serving them to new households. One video pulls 2 million views. The next one pulls 3. At the end of the month the number on the screen says $15,000. She didn't build an audience. She built a system. There's a difference. And right now that difference is worth $15,000 a month.

Shelpid.WI3M

36,765 Aufrufe • vor 2 Monaten

TWO TIER POLICING IN ONE MORNING. Outside a peace conference at the JW3 community centre in North London. The video on the left (now with blurred out face) is of a Jewish man walking his dog who, enraged at the awful chants coming from the pro Hamas lot, gave them the finger. As you can see, he was pushed away by police and warned that if he didn’t leave he’d face arrest. The video on the right shows someone in the pro Hamas group, giving a Jewish person the finger in front of a police officer who did nothing. The two tier element couldn’t be starker. For more than year British Jews have had to put up with this light policing of groups of people who are not shy about expressing their support of the aims of Hamas. This is emboldening and radicalising people. It puts us all in danger. Being antisemitic and hateful towards British Jews will do nothing to help the people of Gaza.

TWO TIER POLICING IN ONE MORNING. Outside a peace conference at the JW3 community centre in North London. The video on the left (now with blurred out face) is of a Jewish man walking his dog who, enraged at the awful chants coming from the pro Hamas lot, gave them the finger. As you can see, he was pushed away by police and warned that if he didn’t leave he’d face arrest. The video on the right shows someone in the pro Hamas group, giving a Jewish person the finger in front of a police officer who did nothing. The two tier element couldn’t be starker. For more than year British Jews have had to put up with this light policing of groups of people who are not shy about expressing their support of the aims of Hamas. This is emboldening and radicalising people. It puts us all in danger. Being antisemitic and hateful towards British Jews will do nothing to help the people of Gaza.

Nicole Lampert

131,021 Aufrufe • vor 1 Jahr

The vet had been honest with the Hollands. Baxter didn't have much time left, and the kindest thing they could do now was make whatever he had left count. So on a warm Saturday in June , instead of a normal quiet day at home, they loaded the old Bernese into the back of the van and drove him two hours to the coast. Baxter had never seen the ocean. He was 13, and his whole life had been the backyard and the same worn spot on the living room rug. The kids wanted him to see something big before he went. He moved slow getting out of the van. His back legs weren't what they used to be, and the boys had to help him down onto the sand. For a second he just stood there at the top of the beach, nose up, taking in all that salt air and open water like he couldn't quite believe it. Then something in him shifted. He started down toward the surf on his own, stiff and determined, the way he used to trot to the door when the kids came home from school. When the first cold wave washed over his paws, his whole face lit up. He didn't run, he couldn't, but he waded in up to his chest and stood in the shallow water with the sun going down behind him, and the whole family just watched. Nobody said much. They didn't need to. They stayed until the light was almost gone, taking pictures, letting Baxter rest against their legs, giving him one perfect afternoon to hold onto. The vet was right about the time. Baxter left them a few weeks later, at home, surrounded by the people who loved him. But he saw the ocean first. And every one of them is glad they gave him that.

The vet had been honest with the Hollands. Baxter didn't have much time left, and the kindest thing they could do now was make whatever he had left count. So on a warm Saturday in June , instead of a normal quiet day at home, they loaded the old Bernese into the back of the van and drove him two hours to the coast. Baxter had never seen the ocean. He was 13, and his whole life had been the backyard and the same worn spot on the living room rug. The kids wanted him to see something big before he went. He moved slow getting out of the van. His back legs weren't what they used to be, and the boys had to help him down onto the sand. For a second he just stood there at the top of the beach, nose up, taking in all that salt air and open water like he couldn't quite believe it. Then something in him shifted. He started down toward the surf on his own, stiff and determined, the way he used to trot to the door when the kids came home from school. When the first cold wave washed over his paws, his whole face lit up. He didn't run, he couldn't, but he waded in up to his chest and stood in the shallow water with the sun going down behind him, and the whole family just watched. Nobody said much. They didn't need to. They stayed until the light was almost gone, taking pictures, letting Baxter rest against their legs, giving him one perfect afternoon to hold onto. The vet was right about the time. Baxter left them a few weeks later, at home, surrounded by the people who loved him. But he saw the ocean first. And every one of them is glad they gave him that.

Gabriele Corno

119,411 Aufrufe • vor 8 Tagen

Grok 4.20. Colourful Imagination. Prompt: Ultra-realistic cinematic surreal portrait video, 1:1 square, 10 seconds. A beautiful young woman stands in a narrow dreamy room with soft mauve and plum draped walls. Behind her is a large wall installation made of hundreds of colorful fuzzy pom-pom spheres in bright red, orange, yellow, blue, pink, green, and cream, arranged like a vibrant textured halo. She has extremely long flowing rainbow hair with vivid streaks of red, orange, yellow, green, blue, and pink, realistic silky texture, center part, cascading far past her waist. She wears a dark teal bohemian dress with warm floral embroidery, loose sleeves, and a soft elegant fit. Moody warm lighting, rich magenta-orange color grade, fantasy editorial realism. Start with a medium shot of her standing still in front of the colorful pom-pom wall, facing slightly to the side with a calm introspective expression, hands close to her chest. The camera slowly pushes in. Her rainbow hair drapes down her shoulders and moves subtly. A glowing warm orb of light appears near her right side at chest level, like a magical floating lantern or sun, soft golden-orange glow, realistic bloom. She slowly raises one hand toward it and then gently lifts it in her palm. Tiny glittering particles sparkle around the orb. The camera moves closer into a medium close-up of her hand and face, emphasizing the light. She then slowly lifts the glowing orb higher into the air with one arm extended upward. The camera shifts to a side and rear three-quarter angle, revealing the extraordinary length of her rainbow hair flowing dramatically behind her. Sparkling particles trail from the orb. The pom-pom wall fades more into the background as the draped room becomes more visible. End with her turning back toward camera with a soft joyful smile, hair sweeping outward in a graceful motion, one hand extended forward as if inviting the viewer into the magical moment. Dreamy, emotional, whimsical, premium fantasy fashion film, photorealistic, rich detail, cinematic depth of field, smooth motion, realistic fabric, realistic skin, realistic hair physics, magical but grounded.

Grok 4.20. Colourful Imagination. Prompt: Ultra-realistic cinematic surreal portrait video, 1:1 square, 10 seconds. A beautiful young woman stands in a narrow dreamy room with soft mauve and plum draped walls. Behind her is a large wall installation made of hundreds of colorful fuzzy pom-pom spheres in bright red, orange, yellow, blue, pink, green, and cream, arranged like a vibrant textured halo. She has extremely long flowing rainbow hair with vivid streaks of red, orange, yellow, green, blue, and pink, realistic silky texture, center part, cascading far past her waist. She wears a dark teal bohemian dress with warm floral embroidery, loose sleeves, and a soft elegant fit. Moody warm lighting, rich magenta-orange color grade, fantasy editorial realism. Start with a medium shot of her standing still in front of the colorful pom-pom wall, facing slightly to the side with a calm introspective expression, hands close to her chest. The camera slowly pushes in. Her rainbow hair drapes down her shoulders and moves subtly. A glowing warm orb of light appears near her right side at chest level, like a magical floating lantern or sun, soft golden-orange glow, realistic bloom. She slowly raises one hand toward it and then gently lifts it in her palm. Tiny glittering particles sparkle around the orb. The camera moves closer into a medium close-up of her hand and face, emphasizing the light. She then slowly lifts the glowing orb higher into the air with one arm extended upward. The camera shifts to a side and rear three-quarter angle, revealing the extraordinary length of her rainbow hair flowing dramatically behind her. Sparkling particles trail from the orb. The pom-pom wall fades more into the background as the draped room becomes more visible. End with her turning back toward camera with a soft joyful smile, hair sweeping outward in a graceful motion, one hand extended forward as if inviting the viewer into the magical moment. Dreamy, emotional, whimsical, premium fantasy fashion film, photorealistic, rich detail, cinematic depth of field, smooth motion, realistic fabric, realistic skin, realistic hair physics, magical but grounded.

Mario Nawfal

88,941 Aufrufe • vor 4 Monaten

Megan Fox really knows how to draw everyone's attention, don't you think?🤩😏 VIdeo by Kling 3.0 via Higgsfield AI (More videos for my subscribers!) Video & Image prompts below👇🏻 🔴 Video Prompt: Subject slowly rises from kneeling position on fluffy white rug — movement begins with a natural, fluid push upward from knees to standing. As she rises, hips sway gently and playfully, body moves naturally with soft feminine energy, not exaggerated. Hair still mid-ponytail, hands finish tying it as she stands. Camera rises simultaneously with her, tracking from chest level up to face level as she reaches full standing height. Full body visible throughout the rise. At 8 seconds: she leans slightly forward toward camera, eyes locked, and softly tongue out to the camera lens. At 9-10 seconds: she pulls back, gives one final direct look into camera, then flashes a peace sign with a slight smirk. Style: Cinematic, smooth camera movement, natural bedroom lighting with soft daylight from window, warm neon glow from "Keor" sign in background. Realistic, no sudden cuts, fluid motion throughout. 10 seconds total. 🔴 Image Prompt: A Megan Fox with fair skin, freckles across her face and shoulders, and striking blue eyes is kneeling on a thick, fluffy white rug in a messy bedroom. She has long, black hair that she is actively gathering with both hands to tie into a high ponytail; her right hand holds the base of the ponytail near the crown of her head while her left hand pulls the length of her hair through. She is wearing a fitted light green lime ribbed tank top with V neckline and fuchsia gym shorts bottoms. Her expression is direct and slightly serious as she looks straight at the camera from a high angle. The bedroom background features an unmade pink bed with rumpled light-colored sheets and pillows, scattered clothes on the floor and bed, a white nightstand with a modern lamp, a stack of books, a big poster of Inuyasha manga characters, a little neon written 'Keor' on wall, and a window with sheer curtains letting in natural daylight. The overall scene has a casual, lived-in atmosphere with soft natural lighting."

Megan Fox really knows how to draw everyone's attention, don't you think?🤩😏 VIdeo by Kling 3.0 via Higgsfield AI (More videos for my subscribers!) Video & Image prompts below👇🏻 🔴 Video Prompt: Subject slowly rises from kneeling position on fluffy white rug — movement begins with a natural, fluid push upward from knees to standing. As she rises, hips sway gently and playfully, body moves naturally with soft feminine energy, not exaggerated. Hair still mid-ponytail, hands finish tying it as she stands. Camera rises simultaneously with her, tracking from chest level up to face level as she reaches full standing height. Full body visible throughout the rise. At 8 seconds: she leans slightly forward toward camera, eyes locked, and softly tongue out to the camera lens. At 9-10 seconds: she pulls back, gives one final direct look into camera, then flashes a peace sign with a slight smirk. Style: Cinematic, smooth camera movement, natural bedroom lighting with soft daylight from window, warm neon glow from "Keor" sign in background. Realistic, no sudden cuts, fluid motion throughout. 10 seconds total. 🔴 Image Prompt: A Megan Fox with fair skin, freckles across her face and shoulders, and striking blue eyes is kneeling on a thick, fluffy white rug in a messy bedroom. She has long, black hair that she is actively gathering with both hands to tie into a high ponytail; her right hand holds the base of the ponytail near the crown of her head while her left hand pulls the length of her hair through. She is wearing a fitted light green lime ribbed tank top with V neckline and fuchsia gym shorts bottoms. Her expression is direct and slightly serious as she looks straight at the camera from a high angle. The bedroom background features an unmade pink bed with rumpled light-colored sheets and pillows, scattered clothes on the floor and bed, a white nightstand with a modern lamp, a stack of books, a big poster of Inuyasha manga characters, a little neon written 'Keor' on wall, and a window with sheer curtains letting in natural daylight. The overall scene has a casual, lived-in atmosphere with soft natural lighting."

KeorUnreal

100,766 Aufrufe • vor 3 Monaten

Created with Seedance 2.0 prompt: Use @[storyboard ref] as the exact visual blueprint. Follow panel order, camera placement, framing, action continuity, character staging, and screen direction precisely. Karma: young tomboy hacker, short messy black hair, round glasses, oversized dark hoodie, cargo pants, worn sneakers. Maintain identical appearance throughout. Setting: cramped hacker room at night, multiple monitors, laptop, security screen, wall alarm, fire escape window, rain-soaked neon city outside. Style: photorealistic cyber-thriller, live-action realism, extreme fisheye opening, handheld urgency, practical lighting, monitor glow, red alarm lighting, realistic physics. Sequence: Extreme fisheye close-up on Karma typing. Code reflects in glasses. Red alarm activates. She checks security monitor and sees three armed intruders entering below. She shuts the laptop, grabs her phone, opens the window, and escapes onto the fire escape. Handheld chase as she descends. Reaching street level, she moves through an alley toward a parked vehicle. She opens the driver door, presses a trigger command on her phone. Moments later, the distant hacker room explodes in a massive fireball with debris, glass, sparks, smoke, and shockwaves. Karma calmly enters the vehicle and drives away. Final wide shot: smoke rising over the city as the vehicle disappears into the night. Audio only: keyboard clicks, computer hum, alarm, footsteps, metal stairs, breathing, rain, city ambience, trigger click, explosion, debris, sirens, wind. Negative: no superheroes, no spy poses, no martial arts, no anime motion, no slow motion, no holograms, no sci-fi weapons, no comedy, no duplicate characters, no extra intruders, no identity drift.

Created with Seedance 2.0 prompt: Use @[storyboard ref] as the exact visual blueprint. Follow panel order, camera placement, framing, action continuity, character staging, and screen direction precisely. Karma: young tomboy hacker, short messy black hair, round glasses, oversized dark hoodie, cargo pants, worn sneakers. Maintain identical appearance throughout. Setting: cramped hacker room at night, multiple monitors, laptop, security screen, wall alarm, fire escape window, rain-soaked neon city outside. Style: photorealistic cyber-thriller, live-action realism, extreme fisheye opening, handheld urgency, practical lighting, monitor glow, red alarm lighting, realistic physics. Sequence: Extreme fisheye close-up on Karma typing. Code reflects in glasses. Red alarm activates. She checks security monitor and sees three armed intruders entering below. She shuts the laptop, grabs her phone, opens the window, and escapes onto the fire escape. Handheld chase as she descends. Reaching street level, she moves through an alley toward a parked vehicle. She opens the driver door, presses a trigger command on her phone. Moments later, the distant hacker room explodes in a massive fireball with debris, glass, sparks, smoke, and shockwaves. Karma calmly enters the vehicle and drives away. Final wide shot: smoke rising over the city as the vehicle disappears into the night. Audio only: keyboard clicks, computer hum, alarm, footsteps, metal stairs, breathing, rain, city ambience, trigger click, explosion, debris, sirens, wind. Negative: no superheroes, no spy poses, no martial arts, no anime motion, no slow motion, no holograms, no sci-fi weapons, no comedy, no duplicate characters, no extra intruders, no identity drift.

Noor

14,248 Aufrufe • vor 1 Monat

$Nano Banana Pro + Kling 2.6 on Social Sight: Video prompt: { "cinematic_video_request": { "meta": { "title": "Sadie Sink - Night Drive Portrait", "style_preset": "Cinematic Realism", "duration_seconds": 10, "resolution": "4K", "aspect_ratio": "16:9" }, "prompts": { "main_prompt": "Ultra-realistic cinematic animation of Sadie Sink sitting in the backseat of a luxury car at night. The city lights outside the window create soft motion blur with passing traffic and glowing streetlights. Subtle camera push-in shot from medium frame to close-up. Gentle movement in her hair as the car moves. She slowly shifts her gaze toward the window, blinking naturally, then looks back toward the camera with a calm, slightly mysterious expression.", "visual_modifiers": "4K cinematic quality, realistic skin texture, natural facial micro-expressions, smooth motion, dramatic nighttime mood, film-grade color grading, soft contrast, subtle handheld camera feel, shallow depth of field, bokeh city lights, detailed leather texture.", "lighting_prompt": "Soft ambient lighting from streetlights flickers across her face, creating dynamic shadows and warm highlights. Background traffic lights streak smoothly past the window." }, "scene_specifications": { "subject": { "name": "Sadie Sink", "action": "Sitting, gazing out window, turning head to camera, blinking", "expression": "Calm, mysterious, natural micro-expressions", "details": "Gentle hair movement, realistic skin texture" }, "environment": { "setting": "Backseat of luxury car", "time": "Night", "exterior": "City streets, passing traffic", "details": "Detailed leather interior, window reflections" }, "camera": { "movement": "Slow push-in (dolly forward)", "stabilization": "Slight handheld feel (organic motion)", "framing": "Medium shot to Close-up", "focus": "Shallow depth of field with background bokeh" }, "lighting": { "type": "Dynamic/Transient", "sources": "Passing streetlights, city glow", "characteristics": "Warm highlights, soft contrast, rhythmic flickering shadows" } } } } Image prompt: { "prompt": { "subject": { "description": "Sadie Sink with shoulder-length, blonde red hair and bangs. She has fair skin with light freckles, winged eyeliner. Her expression is sultry, with her index finger resting gently on her lower lip.", "clothing": "She is wearing a tight, long-sleeved black mini dress and sheer black pantyhose.", "pose": "She is seated in the back of a car with her legs crossed and pulled up towards her chest, displaying bare feet in sheer hose." }, "environment": { "location": "Interior of a luxury car, specifically the back seat.", "details": "Light grey leather seats with diamond stitching patterns visible on the side door panel. A 'B' logo (likely Bentley) is embroidered on the headrest.", "background": "Through the car window, a night cityscape is visible with blurred city lights, street lamps, and streaks of light from moving traffic on a highway." }, "lighting_and_quality": { "lighting": "Direct flash photography illuminating the subject against a darker background.", "resolution": "4K HD quality, highly detailed textures on the hair, skin, and leather seats.", "style": "Candid, urban night aesthetic, realistic photo." } } }$

Nano Banana Pro + Kling 2.6 on Social Sight: Video prompt: { "cinematic_video_request": { "meta": { "title": "Sadie Sink - Night Drive Portrait", "style_preset": "Cinematic Realism", "duration_seconds": 10, "resolution": "4K", "aspect_ratio": "16:9" }, "prompts": { "main_prompt": "Ultra-realistic cinematic animation of Sadie Sink sitting in the backseat of a luxury car at night. The city lights outside the window create soft motion blur with passing traffic and glowing streetlights. Subtle camera push-in shot from medium frame to close-up. Gentle movement in her hair as the car moves. She slowly shifts her gaze toward the window, blinking naturally, then looks back toward the camera with a calm, slightly mysterious expression.", "visual_modifiers": "4K cinematic quality, realistic skin texture, natural facial micro-expressions, smooth motion, dramatic nighttime mood, film-grade color grading, soft contrast, subtle handheld camera feel, shallow depth of field, bokeh city lights, detailed leather texture.", "lighting_prompt": "Soft ambient lighting from streetlights flickers across her face, creating dynamic shadows and warm highlights. Background traffic lights streak smoothly past the window." }, "scene_specifications": { "subject": { "name": "Sadie Sink", "action": "Sitting, gazing out window, turning head to camera, blinking", "expression": "Calm, mysterious, natural micro-expressions", "details": "Gentle hair movement, realistic skin texture" }, "environment": { "setting": "Backseat of luxury car", "time": "Night", "exterior": "City streets, passing traffic", "details": "Detailed leather interior, window reflections" }, "camera": { "movement": "Slow push-in (dolly forward)", "stabilization": "Slight handheld feel (organic motion)", "framing": "Medium shot to Close-up", "focus": "Shallow depth of field with background bokeh" }, "lighting": { "type": "Dynamic/Transient", "sources": "Passing streetlights, city glow", "characteristics": "Warm highlights, soft contrast, rhythmic flickering shadows" } } } } Image prompt: { "prompt": { "subject": { "description": "Sadie Sink with shoulder-length, blonde red hair and bangs. She has fair skin with light freckles, winged eyeliner. Her expression is sultry, with her index finger resting gently on her lower lip.", "clothing": "She is wearing a tight, long-sleeved black mini dress and sheer black pantyhose.", "pose": "She is seated in the back of a car with her legs crossed and pulled up towards her chest, displaying bare feet in sheer hose." }, "environment": { "location": "Interior of a luxury car, specifically the back seat.", "details": "Light grey leather seats with diamond stitching patterns visible on the side door panel. A 'B' logo (likely Bentley) is embroidered on the headrest.", "background": "Through the car window, a night cityscape is visible with blurred city lights, street lamps, and streaks of light from moving traffic on a highway." }, "lighting_and_quality": { "lighting": "Direct flash photography illuminating the subject against a darker background.", "resolution": "4K HD quality, highly detailed textures on the hair, skin, and leather seats.", "style": "Candid, urban night aesthetic, realistic photo." } } }

Iris

74,089 Aufrufe • vor 5 Monaten

Another tragic story from the Air India Plane crash Mother fought with all her strength to save her 15 year old son. He was just 15, working at a small tea stall in Gujarat alongside his mother to support their humble life. When the Ahmedabad plane crash happened, it wasn’t just the passengers onboard who lost their lives even those standing nearby, going about their day, became victims of the tragedy. One of them was a young boy. His mother was right there with him, and in a matter of seconds, everything changed. The moment the aircraft struck the ground, a massive firestorm exploded. Before she could understand what was happening, the flames had already swallowed her son. He died there — right in front of her eyes. Sita Patni, his mother, didn’t give up. She kept fighting through the blaze, through the chaos, trying to pull him out desperate, broken, and burning herself But fate was merciless,She couldn’t save him. And in the process, she was left badly burned, carrying scars far deeper than the ones on her skin Now mother is in ICU struggling for life.

Another tragic story from the Air India Plane crash Mother fought with all her strength to save her 15 year old son. He was just 15, working at a small tea stall in Gujarat alongside his mother to support their humble life. When the Ahmedabad plane crash happened, it wasn’t just the passengers onboard who lost their lives even those standing nearby, going about their day, became victims of the tragedy. One of them was a young boy. His mother was right there with him, and in a matter of seconds, everything changed. The moment the aircraft struck the ground, a massive firestorm exploded. Before she could understand what was happening, the flames had already swallowed her son. He died there — right in front of her eyes. Sita Patni, his mother, didn’t give up. She kept fighting through the blaze, through the chaos, trying to pull him out desperate, broken, and burning herself But fate was merciless,She couldn’t save him. And in the process, she was left badly burned, carrying scars far deeper than the ones on her skin Now mother is in ICU struggling for life.

Woke Eminent

124,006 Aufrufe • vor 1 Jahr

Stop thinking safe. Start imagining free. Grok Imagine. Wild. Fearless. Uncontained. Try it. Prompt: Ultra-realistic cinematic forest video, 1:1 square, 10 seconds, 24fps. A young girl around 10 to 12 years old with long dark brown hair, subtle center part, multiple thin braids woven along the crown and sides, natural face, calm expression, wearing a loose dark charcoal-black medieval fantasy cloak or simple long-sleeve forest tunic, walks slowly through a sun-dappled woodland beside a large realistic grey wolf. The wolf is tall, thick-furred, natural proportions, grey and cream coat, intelligent calm eyes, walking closely beside her like a companion. Scene begins as a medium close shot. The girl stands beside the wolf in a lush green forest with soft golden sunlight filtering through the trees, shallow depth of field, cinematic bokeh, earthy forest floor with leaves. She looks down gently, then slightly toward the wolf. The wolf faces camera first, then turns its head naturally toward her. The camera slowly drifts sideways and slightly forward in a smooth handheld-cinematic way. The girl softly smiles, then raises her hand and gently pets the wolf’s head once in a tender, natural motion. Keep movements slow, elegant, and realistic. Hair moves subtly. No sudden gestures. After the petting moment, transition into a wider side-profile shot as the girl and wolf begin walking together from left to right through the forest path. Her dark cloak sways naturally as she walks. The wolf keeps pace beside her. Camera tracks with them smoothly in profile. Warm natural light, realistic woodland colors, soft contrast, magical but grounded realism, premium film look, highly detailed fur, realistic anatomy, realistic child proportions, realistic walking motion, realistic forest textures, intimate emotional companionship.

Mario Nawfal

38,793 Aufrufe • vor 4 Monaten

$Grandma’s rolling trouble 🛹 🧓🏻 Video prompt : { "type": "video", "duration": 6, "scene": { "description": "Continuation of the reference frame with the same person riding a skateboard down a busy city street, same low wide-angle camera position near the front of the board, moving forward along the road.", "environment_motion": "Background buildings and billboards slide past smoothly to emphasize forward motion along the street." }, "camera": { "framing": "Low, wide-angle shot from the skateboard pointing upward toward the rider, matching the reference image.", "movement": "Camera is fixed to the skateboard, gently bobbing and vibrating with the motion of the wheels on the street.", "lens_effects": "Subtle wide-angle distortion; slight motion blur on the street and passing cars to show speed." }, "character_actions": [ { "body_part": "head", "action": "rhythmic dance movement to the beat of the music", "details": "The rider keeps their body mostly steady for balance while the head moves in small, expressive motions: nodding up and down, tilting side to side, and making short circular motions, all in sync with the music.", "loop": true }, { "body_part": "upper_body", "action": "minimal natural balancing", "details": "Shoulders and torso make subtle micro-adjustments for balance but do not perform separate dance moves; focus stays on the head movement." } ], "skateboard_motion": { "speed": "medium, smooth continuous roll forward", "path": "straight along the street with slight natural wobble from the road surface", "interaction": "Wheels roll over small imperfections in the asphalt, causing gentle vibrations." }, "audio": { "mix": "stereo", "music": { "presence": "foreground", "description": "Energetic, upbeat track with a clear rhythm that the head dance follows.", "sync": "Head movements stay clearly in time with the main beat." }, "sfx": [ { "type": "street_ambience", "description": "City street sounds in the background: distant cars passing, faint honks, muffled crowd noise and echoes from tall buildings.", "level": "low to medium, behind the music" }, { "type": "skateboard", "description": "Continuous rolling sound of skateboard wheels on asphalt, occasional soft clacks from cracks in the road.", "level": "medium, clearly audible under the music" } ] } } …………………………………………………………… Video : kling 2.6 on Higgsfield AI 🧩 ▫️The best offer on the market - 70% OFF▫️$

Grandma’s rolling trouble 🛹 🧓🏻 Video prompt : { "type": "video", "duration": 6, "scene": { "description": "Continuation of the reference frame with the same person riding a skateboard down a busy city street, same low wide-angle camera position near the front of the board, moving forward along the road.", "environment_motion": "Background buildings and billboards slide past smoothly to emphasize forward motion along the street." }, "camera": { "framing": "Low, wide-angle shot from the skateboard pointing upward toward the rider, matching the reference image.", "movement": "Camera is fixed to the skateboard, gently bobbing and vibrating with the motion of the wheels on the street.", "lens_effects": "Subtle wide-angle distortion; slight motion blur on the street and passing cars to show speed." }, "character_actions": [ { "body_part": "head", "action": "rhythmic dance movement to the beat of the music", "details": "The rider keeps their body mostly steady for balance while the head moves in small, expressive motions: nodding up and down, tilting side to side, and making short circular motions, all in sync with the music.", "loop": true }, { "body_part": "upper_body", "action": "minimal natural balancing", "details": "Shoulders and torso make subtle micro-adjustments for balance but do not perform separate dance moves; focus stays on the head movement." } ], "skateboard_motion": { "speed": "medium, smooth continuous roll forward", "path": "straight along the street with slight natural wobble from the road surface", "interaction": "Wheels roll over small imperfections in the asphalt, causing gentle vibrations." }, "audio": { "mix": "stereo", "music": { "presence": "foreground", "description": "Energetic, upbeat track with a clear rhythm that the head dance follows.", "sync": "Head movements stay clearly in time with the main beat." }, "sfx": [ { "type": "street_ambience", "description": "City street sounds in the background: distant cars passing, faint honks, muffled crowd noise and echoes from tall buildings.", "level": "low to medium, behind the music" }, { "type": "skateboard", "description": "Continuous rolling sound of skateboard wheels on asphalt, occasional soft clacks from cracks in the road.", "level": "medium, clearly audible under the music" } ] } } …………………………………………………………… Video : kling 2.6 on Higgsfield AI 🧩 ▫️The best offer on the market - 70% OFF▫️

Saman | AI

18,695 Aufrufe • vor 7 Monaten

Wait? Is this Seedance 2 Mini? The mystery Seedance 2 model IS HERE! No wait this time. About 55% of the cost of the 2.0 Fast is about 75% Quality wise they say to expect Fast level output and that seems fair? Thoughts? Left is Seedance 2 Mini Right is Seedance 2.0 Full Prompt Image To Video Use the uploaded images as identity, costume, and lighting reference. Same naturally confident charismatic age 25 woman throughout performing a sold-out arena concert. Real concert documentary feel, handheld camera energy, practical stage lighting only. gritty, real, fun, clean editing, english language high energy modern concert performance 0: 00–0:01 — Open tight on her face mid-performance, eyes bright, genuine laugh breaking through a lyric, hair catching stage light. Crowd noise swells under faint mic hum. 0: 01–0:06 — She steps forward to the edge of the stage, singing into the mic with playful energy, she frowns, sad "Wait! Is this Seedance 2 Mini?" and then smiles and laughs free hand reaching out toward the crowd, fingers brushing toward raised phones and hands. The crowd repeats the lyric back to her as she laughs. Warm stage lights and lens flares in the background, slight handheld camera sway following her movement. 0: 06–0:09 — Wide shot from a low angle near the crowd barrier — she's framed against haze and colored stage lights, band visible in soft focus behind her (guitarist stage left, keyboard player stage right). She throws her free arm out wide, laughing between lines, hair whipping slightly as she turns. 0: 10–0:12 — Cut to a closer three-quarter shot — she playfully points the mic toward the crowd for a sing-along moment, grinning, eyes scanning the audience with real warmth and connection. Visible sweat sheen, natural skin texture, slight camera shake as if shot from the pit. — Final beat: close-up, she looks directly into the lens with a bright, genuine smile Camera: handheld documentary-style movement throughout, natural focus pulls, no perfectly smooth gimbal shots, slight shake and imperfection consistent with a real concert film crew. Practical stage lighting only — no CGI glow, no artificial bloom, no glossy skin, visible natural texture and sweat under hot lights. Audio: live arena ambience — crowd roar, cheering, phone-camera flash pops, her voice carrying clearly over a full live band mix (electric guitar, keys, drums, bass). No studio polish — natural live-mix dynamics, slight room reverb. No on-screen text, no logos, no subtitles, no watermarks, no identity drift, no extra performers beyond the band already in frame, no slideshow stillness, no overly smooth or glossy rendering, no jarring cuts, no akward moments, no jerky moves, no duplicates, no clones

Wait? Is this Seedance 2 Mini? The mystery Seedance 2 model IS HERE! No wait this time. About 55% of the cost of the 2.0 Fast is about 75% Quality wise they say to expect Fast level output and that seems fair? Thoughts? Left is Seedance 2 Mini Right is Seedance 2.0 Full Prompt Image To Video Use the uploaded images as identity, costume, and lighting reference. Same naturally confident charismatic age 25 woman throughout performing a sold-out arena concert. Real concert documentary feel, handheld camera energy, practical stage lighting only. gritty, real, fun, clean editing, english language high energy modern concert performance 0: 00–0:01 — Open tight on her face mid-performance, eyes bright, genuine laugh breaking through a lyric, hair catching stage light. Crowd noise swells under faint mic hum. 0: 01–0:06 — She steps forward to the edge of the stage, singing into the mic with playful energy, she frowns, sad "Wait! Is this Seedance 2 Mini?" and then smiles and laughs free hand reaching out toward the crowd, fingers brushing toward raised phones and hands. The crowd repeats the lyric back to her as she laughs. Warm stage lights and lens flares in the background, slight handheld camera sway following her movement. 0: 06–0:09 — Wide shot from a low angle near the crowd barrier — she's framed against haze and colored stage lights, band visible in soft focus behind her (guitarist stage left, keyboard player stage right). She throws her free arm out wide, laughing between lines, hair whipping slightly as she turns. 0: 10–0:12 — Cut to a closer three-quarter shot — she playfully points the mic toward the crowd for a sing-along moment, grinning, eyes scanning the audience with real warmth and connection. Visible sweat sheen, natural skin texture, slight camera shake as if shot from the pit. — Final beat: close-up, she looks directly into the lens with a bright, genuine smile Camera: handheld documentary-style movement throughout, natural focus pulls, no perfectly smooth gimbal shots, slight shake and imperfection consistent with a real concert film crew. Practical stage lighting only — no CGI glow, no artificial bloom, no glossy skin, visible natural texture and sweat under hot lights. Audio: live arena ambience — crowd roar, cheering, phone-camera flash pops, her voice carrying clearly over a full live band mix (electric guitar, keys, drums, bass). No studio polish — natural live-mix dynamics, slight room reverb. No on-screen text, no logos, no subtitles, no watermarks, no identity drift, no extra performers beyond the band already in frame, no slideshow stillness, no overly smooth or glossy rendering, no jarring cuts, no akward moments, no jerky moves, no duplicates, no clones

Brent Lynch

12,501 Aufrufe • vor 1 Monat

Created with Gemini Nano Banana Pro Prompt: A breathtaking cinematic skydiving sequence begins inside a military-style helicopter flying at 15,000 feet above a sea of clouds during golden hour. The camera slowly moves through the helicopter cabin, revealing a fearless young woman skydiver wearing a sleek black wingsuit-inspired jumpsuit, professional parachute harness, tactical gloves, and aerodynamic goggles. Her long dark hair moves gently in the wind coming through the open side door. The helicopter's powerful rotor blades spin overhead, creating realistic motion blur and dynamic vibrations. Sunlight streams through the cabin, casting dramatic rays and cinematic shadows across her determined face. The camera captures an intense close-up of her eyes as she looks toward the endless horizon. As epic orchestral music builds, she steps to the edge of the helicopter. The camera switches to a dramatic low-angle shot showing the vast sky and breathtaking world below. In slow motion, she leaps into the open air. Time seems to freeze as she exits the aircraft, with tiny particles of dust and sunlight sparkling around her. The camera follows her from multiple cinematic angles: front-facing tracking shots, side-profile action shots, over-the-shoulder aerial perspectives, and wide drone-style views. Her body glides smoothly through the atmosphere as clouds rush past. Her hair flows dynamically in the wind while realistic fabric physics animate her suit and parachute straps. Below her lies an incredible landscape of towering mountain ranges, turquoise lakes, winding rivers, deep valleys, dense forests, and snow-capped peaks stretching endlessly to the horizon. Volumetric clouds cast moving shadows across the terrain. The sun creates golden highlights on the mountains and sparkling reflections on the water. The camera circles around her at high speed while she performs controlled aerial maneuvers and graceful spins. Tiny water droplets and cloud mist pass the lens, creating immersive realism. Lens flares, atmospheric haze, HDR lighting, and cinematic depth of field enhance the visual impact. As the music reaches its climax, she bursts through a layer of clouds into brilliant sunlight. The camera captures a stunning 360-degree orbit around her, revealing the entire world beneath. She smiles confidently while freefalling at high speed. Near the end, she reaches for the parachute cord. Time slows dramatically. A close-up shot shows her hand pulling the release handle. Instantly, the parachute deploys with a powerful burst of motion. The colorful canopy opens above her against a vivid blue sky. The final scene shows her peacefully gliding through the sky as the sun sets on the horizon, painting the clouds with orange, pink, and gold colors. The camera pulls back farther and farther until she becomes a tiny silhouette floating above the majestic landscape. Epic cinematic ending, ultra-realistic visuals, Hollywood blockbuster quality, National Geographic aerial cinematography, 8K HDR, hyper-realistic lighting, realistic wind simulation, volumetric clouds, smooth camera movements, masterpiece, viral social media quality.

Yashal Ai

17,581 Aufrufe • vor 1 Monat

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

KNOX

25,773 Aufrufe • vor 5 Monaten

Next up in the long line of right-wing media figures lifting up Woke Right retards who waste our time, Patrick Bet-David just had on the spectacular retard Curtis Yarvin who said this idiot nonsense: America has always been a Leftist experiment. No it hasn't, except barely from the perspective of European reaction and counter-revolutionary thinking, which is part of what constitutes the European, but not American, Right. (I AM ONCE AGAIN TELLING YOU ALL THAT "LEFT" AND "RIGHT" ARE NOT ADEQUATE TERMS FOR POLITICAL DISCUSSION FOR A LOT OF REASONS, MOSTLY THAT THEY DESCRIBE LOCATIONS IN A PARTICULAR ROOM AT A PARTICULAR TIME AND NOT COHERENT POLITICAL PROGRAMS.) America is actually founded on a tradition completely alien and separate to either the "Left" or the "Right" as it is conceived of in the European mind. It is overwhelmingly something completely different that dispensed wholesale with all the idiotic Continental philosophies the European "Left" and "Right" relied upon. America was not "Leftist" because "Leftist" referred to Jacobinism specifically at the time of the Founding, in line with the thinking of Rousseau's esoteric French Romanticism, whereas America was founded on SCOTTISH COMMON SENSE. America's founders specifically REJECTED Jacobinism and built their system to reject and safeguard against it, but Jacobinism is specifically the thing called "Leftism" in the original context. If you go back to the National Assembly in France, where were the Jacobins? To the left of the king. Hence, "Leftism" for their philosophy and political program. Where were the Scottish Common Sense people? IN SCOTLAND AND AMERICA, doing something completely different and totally awesome, not in the room at all. If you look at what these guys were thinking, it was that Common Sense precedes all these idiotic European philosophical theories, but that the brain-genius philosophers of Europe were so smart that they got the relationship backwards. The Euros thought philosophy precedes common sense, but the Americans knew philosophy must begin with common sense or it's merely idle (and dangerous) speculation. The "Right," if we consider it the side that "resists the Left" (what a poor definition, but that's its definition, isn't it?), in revolutionary France was a motley mix of monarchists, counter-revolutionists, and theocrats. Those would be exactly the people Americans threw out and told to go f- themselves. The "Right," if we must use the term, in America is the side that defends the American tradition, which is based on Common Sense. Most Americans until quite recently were more or less mostly common-sense people in their general orientation to life, hence the long-standing saying that America is "a center-right country." That's what it actually means, outside of these dumb directional terms posing as political orientations. So, this is stupid. Just stupid, but look how much time and energy it takes to deal with the illiterate stupidity of a twelve-second clip pumped to a million viewers who don't have time, interest, background, or inclination to take it apart (because most of them are too common-sense to want to read all this crap but still tribal enough to fall for Yarvin's). Truly, it takes an order of magnitude (or two) more work to take apart bullshit than it does to produce it. Woke, both Right and Left, is such a waste of valuable time and always has been.

Next up in the long line of right-wing media figures lifting up Woke Right retards who waste our time, Patrick Bet-David just had on the spectacular retard Curtis Yarvin who said this idiot nonsense: America has always been a Leftist experiment. No it hasn't, except barely from the perspective of European reaction and counter-revolutionary thinking, which is part of what constitutes the European, but not American, Right. (I AM ONCE AGAIN TELLING YOU ALL THAT "LEFT" AND "RIGHT" ARE NOT ADEQUATE TERMS FOR POLITICAL DISCUSSION FOR A LOT OF REASONS, MOSTLY THAT THEY DESCRIBE LOCATIONS IN A PARTICULAR ROOM AT A PARTICULAR TIME AND NOT COHERENT POLITICAL PROGRAMS.) America is actually founded on a tradition completely alien and separate to either the "Left" or the "Right" as it is conceived of in the European mind. It is overwhelmingly something completely different that dispensed wholesale with all the idiotic Continental philosophies the European "Left" and "Right" relied upon. America was not "Leftist" because "Leftist" referred to Jacobinism specifically at the time of the Founding, in line with the thinking of Rousseau's esoteric French Romanticism, whereas America was founded on SCOTTISH COMMON SENSE. America's founders specifically REJECTED Jacobinism and built their system to reject and safeguard against it, but Jacobinism is specifically the thing called "Leftism" in the original context. If you go back to the National Assembly in France, where were the Jacobins? To the left of the king. Hence, "Leftism" for their philosophy and political program. Where were the Scottish Common Sense people? IN SCOTLAND AND AMERICA, doing something completely different and totally awesome, not in the room at all. If you look at what these guys were thinking, it was that Common Sense precedes all these idiotic European philosophical theories, but that the brain-genius philosophers of Europe were so smart that they got the relationship backwards. The Euros thought philosophy precedes common sense, but the Americans knew philosophy must begin with common sense or it's merely idle (and dangerous) speculation. The "Right," if we consider it the side that "resists the Left" (what a poor definition, but that's its definition, isn't it?), in revolutionary France was a motley mix of monarchists, counter-revolutionists, and theocrats. Those would be exactly the people Americans threw out and told to go f- themselves. The "Right," if we must use the term, in America is the side that defends the American tradition, which is based on Common Sense. Most Americans until quite recently were more or less mostly common-sense people in their general orientation to life, hence the long-standing saying that America is "a center-right country." That's what it actually means, outside of these dumb directional terms posing as political orientations. So, this is stupid. Just stupid, but look how much time and energy it takes to deal with the illiterate stupidity of a twelve-second clip pumped to a million viewers who don't have time, interest, background, or inclination to take it apart (because most of them are too common-sense to want to read all this crap but still tribal enough to fall for Yarvin's). Truly, it takes an order of magnitude (or two) more work to take apart bullshit than it does to produce it. Woke, both Right and Left, is such a waste of valuable time and always has been.

James Lindsay, anti-Communist

71,847 Aufrufe • vor 6 Monaten

Brussels is on fire right now and the videos coming out are wild. The EU capital. The “cradle of democracy.” Bus stops smashed, cars torched, riot police losing control of entire neighborhoods for days. The government tried to cut education spending and raise tuition fees and the city went up in flames. The country that spent decades lecturing the world about civility, integration, and “European values” can’t even keep its own capital from burning over a budget decision. This is what late-stage governance looks like in countries that ran out of ideas. Tax everything that moves, cut services until something snaps, then send police to clean up the mess they created. Brussels today. Paris tomorrow. London the day after. The pattern keeps repeating and the same governments keep telling their citizens that everything is fine and the real danger is people moving somewhere else. The exit door has been open the whole time. 🇦🇪

Brussels is on fire right now and the videos coming out are wild. The EU capital. The “cradle of democracy.” Bus stops smashed, cars torched, riot police losing control of entire neighborhoods for days. The government tried to cut education spending and raise tuition fees and the city went up in flames. The country that spent decades lecturing the world about civility, integration, and “European values” can’t even keep its own capital from burning over a budget decision. This is what late-stage governance looks like in countries that ran out of ideas. Tax everything that moves, cut services until something snaps, then send police to clean up the mess they created. Brussels today. Paris tomorrow. London the day after. The pattern keeps repeating and the same governments keep telling their citizens that everything is fine and the real danger is people moving somewhere else. The exit door has been open the whole time. 🇦🇪

Ruslan Khairullin

54,554 Aufrufe • vor 1 Monat

I deleted all my Polymarket positions at 2am on a Tuesday because I realized I was winning 54% of my bets and still down $11,400. It took me three weeks to understand that sentence. Fifty four percent wins. Why is the balance shrinking? The math was brutal once I finally saw it. I was buying outcomes at 55 to 65 cents feeling smart because my picks kept winning. But the payout at those prices was so thin that one loss wiped out five wins. My edge was maybe 3% and the spread was eating 4%. I dug into the data hoping to find a way to trade better and instead found a number that made me want to close the app. 70% of all Polymarket addresses are in the red. And the profits? Captured by 0.04% of wallets. Four thousand addresses out of 1.7 million own almost everything. I was playing a game where 96% of participants exist to fund the other 4%. But the trades of those wallets are public. Every entry, every exit, sitting on the blockchain. I started tracking them manually. One wallet broke me. It started January 6 with $50. By the time I found it the balance was close to $500,000. Pulling $20 to $30K a day on 15 minute BTC, ETH and SOL markets, exploiting the fact that Binance updates faster than Polymarket odds. A few seconds of lag, hundreds of times a day. I scrolled its history for an hour trying to find a losing streak. Could not. That is when I stopped doing this by hand. Set up PMX. Alerts the second a tracked wallet moves, one tap copy. → Link to bot: Three weeks of shadowing instead of trading. Made back $4,200 of my $11,400 hole. Not because I got smarter. Because I stopped pretending I was the edge. The game on Polymarket is not about being right. It is about standing behind someone who already is. I am still not in profit. But for the first time in four months my balance moves the right direction and I sleep through the night. That is worth more than any win.

I deleted all my Polymarket positions at 2am on a Tuesday because I realized I was winning 54% of my bets and still down $11,400. It took me three weeks to understand that sentence. Fifty four percent wins. Why is the balance shrinking? The math was brutal once I finally saw it. I was buying outcomes at 55 to 65 cents feeling smart because my picks kept winning. But the payout at those prices was so thin that one loss wiped out five wins. My edge was maybe 3% and the spread was eating 4%. I dug into the data hoping to find a way to trade better and instead found a number that made me want to close the app. 70% of all Polymarket addresses are in the red. And the profits? Captured by 0.04% of wallets. Four thousand addresses out of 1.7 million own almost everything. I was playing a game where 96% of participants exist to fund the other 4%. But the trades of those wallets are public. Every entry, every exit, sitting on the blockchain. I started tracking them manually. One wallet broke me. It started January 6 with $50. By the time I found it the balance was close to $500,000. Pulling $20 to $30K a day on 15 minute BTC, ETH and SOL markets, exploiting the fact that Binance updates faster than Polymarket odds. A few seconds of lag, hundreds of times a day. I scrolled its history for an hour trying to find a losing streak. Could not. That is when I stopped doing this by hand. Set up PMX. Alerts the second a tracked wallet moves, one tap copy. → Link to bot: Three weeks of shadowing instead of trading. Made back $4,200 of my $11,400 hole. Not because I got smarter. Because I stopped pretending I was the edge. The game on Polymarket is not about being right. It is about standing behind someone who already is. I am still not in profit. But for the first time in four months my balance moves the right direction and I sleep through the night. That is worth more than any win.

Blaze

13,874 Aufrufe • vor 5 Monaten