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Split-screen test on Flux 3! Prompt : Split-screen video showing the same real-time action from two different camera angles. The screen is divided vertically into two equal halves. On the left side, show a static, wide overhead view from a ceiling-mounted camera in the back corner of the room....

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Umesh

46,257 subscribers

87,894 次观看 • 1 个月前 •via X (Twitter)

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This from Flux 3 is incredible! Prompt : Four-way CCTV-style split-screen showing the same real-time event inside a convenience shop. Divide the frame into four equal security-camera views with timestamps. Top left: wide ceiling-corner view covering aisles, entrance, and cashier. Top right: overhead view above the central aisle. Bottom left: camera facing the checkout counter. Bottom right: camera near the entrance looking inward. At the 2-second mark, a customer takes a boxed item from a shelf, accidentally bumps a display, catches one falling bottle, then places the box on the checkout counter. The cashier turns, scans it, and hands over a receipt as another shopper crosses behind them. All four views must remain perfectly synchronized, showing identical people, movements, object positions, occlusions, timestamps, lighting, and physical reactions. Use realistic low-resolution CCTV footage, slight lens distortion, fixed cameras, and no cinematic camera movement.
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This from Flux 3 is incredible! Prompt : Four-way CCTV-style split-screen showing the same real-time event inside a convenience shop. Divide the frame into four equal security-camera views with timestamps. Top left: wide ceiling-corner view covering aisles, entrance, and cashier. Top right: overhead view above the central aisle. Bottom left: camera facing the checkout counter. Bottom right: camera near the entrance looking inward. At the 2-second mark, a customer takes a boxed item from a shelf, accidentally bumps a display, catches one falling bottle, then places the box on the checkout counter. The cashier turns, scans it, and hands over a receipt as another shopper crosses behind them. All four views must remain perfectly synchronized, showing identical people, movements, object positions, occlusions, timestamps, lighting, and physical reactions. Use realistic low-resolution CCTV footage, slight lens distortion, fixed cameras, and no cinematic camera movement.

Umesh

115,336 次观看 • 1 个月前

A new split-screen prompt experiment. Prompt : Sweeping romantic harbor festival at sunset with lanterns, sea wind, warm amber glow, and crowds moving through music and laughter. Split screen vertically for the full sequence. On the left side, follow her with a soft floating camera weaving through dancers and market stalls as she suddenly notices him across the harbor square. On the right side, show the same instant from his perspective, a slow push through lantern light and passing couples as he spots her at exactly the same moment. Both halves mirror the same event but with different emotional emphasis, her side showing hesitation and vulnerability, his side showing disbelief and hope. The camera on each half circles slightly as they begin moving toward one another through the crowd, with near misses, shifting eyelines, and people crossing frame in sync. Climax: both sides reach the seawall at the same time, and the split screen collapses visually in spirit as their hands meet. Ending: hold the split for a few seconds longer even in the embrace, showing each face from the other’s point of view as lanterns rise behind them.
0:14

A new split-screen prompt experiment. Prompt : Sweeping romantic harbor festival at sunset with lanterns, sea wind, warm amber glow, and crowds moving through music and laughter. Split screen vertically for the full sequence. On the left side, follow her with a soft floating camera weaving through dancers and market stalls as she suddenly notices him across the harbor square. On the right side, show the same instant from his perspective, a slow push through lantern light and passing couples as he spots her at exactly the same moment. Both halves mirror the same event but with different emotional emphasis, her side showing hesitation and vulnerability, his side showing disbelief and hope. The camera on each half circles slightly as they begin moving toward one another through the crowd, with near misses, shifting eyelines, and people crossing frame in sync. Climax: both sides reach the seawall at the same time, and the split screen collapses visually in spirit as their hands meet. Ending: hold the split for a few seconds longer even in the embrace, showing each face from the other’s point of view as lanterns rise behind them.

Umesh

22,189 次观看 • 4 个月前

This is absolutely amazing with Flux 3’s split-screen rendering. More power to storytelling! Upscaled with Topaz Astra. Prompt : Split-screen video. Two equal vertical halves. Both halves show the SAME event, at the SAME time, frame-synchronized, filmed by two different cameras. SCENE: A quiet street, daytime. A long tall hedge wall runs along the sidewalk, too tall to see over. There is one narrow gap in the hedge ahead. A woman in a red jacket walks alone along the sidewalk on the near side of the hedge. On the FAR side of the hedge is an open grass field, where a large golden dog runs. LEFT HALF — CAMERA A: ground-level tracking shot on the sidewalk, following the woman from behind at shoulder height. IMPORTANT: from this camera, only the woman, the sidewalk, and the hedge wall are visible. The field, the dog, and anything behind the hedge are NEVER visible in the left half. The street looks calm and empty. RIGHT HALF — CAMERA B: aerial top-down drone shot, directly above, moving with the woman. This view shows BOTH sides of the hedge at once: the woman on the sidewalk, the hedge as a thin green line, and the golden dog sprinting across the field on the other side, on a converging path toward the gap in the hedge. ACTION — identical timing in both halves: 0–8s: The woman walks calmly. LEFT: peaceful, nothing unusual. RIGHT: the dog races closer and closer to the gap, its path and the woman's path clearly about to meet. 8–11s: The woman reaches the gap. The dog bursts through it. LEFT: the dog appears suddenly from nowhere, a total surprise; the woman flinches. RIGHT: the meeting looks perfectly predictable, two paths joining. 11–15s: The dog jumps up joyfully; it is her own dog greeting her. She laughs, kneels, and hugs it. Both halves show this ending. RULES: Same woman, same dog, same timing in both halves. The dog is visible ONLY in the right half until 8s. No cuts, no other people, no cars.
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This is absolutely amazing with Flux 3’s split-screen rendering. More power to storytelling! Upscaled with Topaz Astra. Prompt : Split-screen video. Two equal vertical halves. Both halves show the SAME event, at the SAME time, frame-synchronized, filmed by two different cameras. SCENE: A quiet street, daytime. A long tall hedge wall runs along the sidewalk, too tall to see over. There is one narrow gap in the hedge ahead. A woman in a red jacket walks alone along the sidewalk on the near side of the hedge. On the FAR side of the hedge is an open grass field, where a large golden dog runs. LEFT HALF — CAMERA A: ground-level tracking shot on the sidewalk, following the woman from behind at shoulder height. IMPORTANT: from this camera, only the woman, the sidewalk, and the hedge wall are visible. The field, the dog, and anything behind the hedge are NEVER visible in the left half. The street looks calm and empty. RIGHT HALF — CAMERA B: aerial top-down drone shot, directly above, moving with the woman. This view shows BOTH sides of the hedge at once: the woman on the sidewalk, the hedge as a thin green line, and the golden dog sprinting across the field on the other side, on a converging path toward the gap in the hedge. ACTION — identical timing in both halves: 0–8s: The woman walks calmly. LEFT: peaceful, nothing unusual. RIGHT: the dog races closer and closer to the gap, its path and the woman's path clearly about to meet. 8–11s: The woman reaches the gap. The dog bursts through it. LEFT: the dog appears suddenly from nowhere, a total surprise; the woman flinches. RIGHT: the meeting looks perfectly predictable, two paths joining. 11–15s: The dog jumps up joyfully; it is her own dog greeting her. She laughs, kneels, and hugs it. Both halves show this ending. RULES: Same woman, same dog, same timing in both halves. The dog is visible ONLY in the right half until 8s. No cuts, no other people, no cars.

Umesh

35,340 次观看 • 1 个月前

Another 4-way split screen clip with Flux 3! Prompt : Four-way split-screen showing the same emergency airplane river landing from four synchronized camera perspectives. Each panel follows the aircraft continuously while the visuals change as the event unfolds. Top left: interior cabin view showing passengers, crew, shaking seats, overhead bins, and the river visible through the windows. Top right: exterior side-tracking view following the aircraft as it descends, levels out, touches the water, and creates a large spray. Bottom left: cockpit view showing the pilots, controls, instrument lights, windshield view, and final approach toward the river. Bottom right: aerial view tracking the aircraft from above, showing its flight path, surrounding city, bridges, river traffic, touchdown, and wake. At the 2-second mark, the aircraft descends lower. Passengers brace, the pilots adjust the nose, and the wings remain level. The plane touches the river, producing a wide burst of water. It skims forward, slows down, and settles while floating. Emergency boats appear in the distance. The cameras may change framing, zoom slightly, or reposition to keep the main action visible, but every panel must remain perfectly synchronized. Show identical aircraft movement, timing, passenger reactions, lighting, weather, water spray, reflections, and final position. Use realistic aviation details, natural reactions, believable water-landing physics, cinematic realism, and consistent spatial continuity. No duplicated aircraft, mismatched timing, changing plane design, teleportation, or contradictory actions between views.
0:15

Another 4-way split screen clip with Flux 3! Prompt : Four-way split-screen showing the same emergency airplane river landing from four synchronized camera perspectives. Each panel follows the aircraft continuously while the visuals change as the event unfolds. Top left: interior cabin view showing passengers, crew, shaking seats, overhead bins, and the river visible through the windows. Top right: exterior side-tracking view following the aircraft as it descends, levels out, touches the water, and creates a large spray. Bottom left: cockpit view showing the pilots, controls, instrument lights, windshield view, and final approach toward the river. Bottom right: aerial view tracking the aircraft from above, showing its flight path, surrounding city, bridges, river traffic, touchdown, and wake. At the 2-second mark, the aircraft descends lower. Passengers brace, the pilots adjust the nose, and the wings remain level. The plane touches the river, producing a wide burst of water. It skims forward, slows down, and settles while floating. Emergency boats appear in the distance. The cameras may change framing, zoom slightly, or reposition to keep the main action visible, but every panel must remain perfectly synchronized. Show identical aircraft movement, timing, passenger reactions, lighting, weather, water spray, reflections, and final position. Use realistic aviation details, natural reactions, believable water-landing physics, cinematic realism, and consistent spatial continuity. No duplicated aircraft, mismatched timing, changing plane design, teleportation, or contradictory actions between views.

Umesh

37,278 次观看 • 1 个月前

Pause the world. Keep the camera rolling. That was the prompt. Coffee suspended mid-air. People frozen mid-motion. The camera moves through it all like time simply stopped. MiniMax H3 Max generated the full 15s shot in just 35 seconds on Pollo AI. Getting the effect right comes down to how you describe motion, stillness, and camera movement in the same prompt. So we broke ours down line by line. Full prompt + workflow ↓
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Pause the world. Keep the camera rolling. That was the prompt. Coffee suspended mid-air. People frozen mid-motion. The camera moves through it all like time simply stopped. MiniMax H3 Max generated the full 15s shot in just 35 seconds on Pollo AI. Getting the effect right comes down to how you describe motion, stillness, and camera movement in the same prompt. So we broke ours down line by line. Full prompt + workflow ↓

Pollo AI

10,625 次观看 • 7 天前

A Ukrainian heavy drone under attack from a Russian FPV emits a bright flash of light. The FPV video camera is temporarily blinded, and the operator loses track of the target. (The heavy drone is near the top of the screen under the static rectangle.)
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A Ukrainian heavy drone under attack from a Russian FPV emits a bright flash of light. The FPV video camera is temporarily blinded, and the operator loses track of the target. (The heavy drone is near the top of the screen under the static rectangle.)

Roy🇨🇦

278,966 次观看 • 9 个月前

I FOUND A BEACH ACCOUNT WITH 900K FOLLOWERS POSTING GOLDEN HOUR BIKINI VIDEOS FROM A TROPICAL ISLAND. I RECOGNIZED THE BUTTERFLY. IT IS THE SAME TATTOO FROM THE 7-ELEVEN GIRL. SAME OPERATOR. DIFFERENT BODY. Blue micro bikini. Butterfly tattoo on the chest. Text tattoo on the ribs. Roses on the arms. She is standing on a tropical beach at golden hour. Sand. Water. Driftwood. Trees behind her. The sun is low and backlights her from the right. Haze in the air. She moves slowly. Adjusts the top. Runs her hands through her hair. Lifts her arms above her head. Twelve seconds. It looks like a photographer's reel from Tulum. I have seen that butterfly before. The 7-Eleven girl. Different face. Different body. Different hair. Same butterfly on the same spot on the chest. Same wings. Same position between the collarbones. Two accounts. Two "girls." One tattoo pulled from the same prompt. The golden hour is not aesthetic. It is camouflage. Backlight creates lens flare. Lens flare softens edges. Soft edges hide the places where AI skin meets AI hair and the render breaks down. Every frame has a warm haze across it that the viewer reads as "cinematic" and the operator uses as a filter to cover artifacts. This is not a girl filmed at sunset. This is a render passed through the sun. The bikini is the smallest amount of fabric the algorithm will not flag. The strings are nearly invisible. The triangles cover the minimum. The operator did not pick blue for aesthetics. Blue metallic fabric catches golden hour light and shifts color between frames. It goes from royal blue to purple to copper depending on the angle. The viewer's eye tracks the color shift the way it tracked the metallic bikini in the mirror clip. The fabric is the distraction. The skin is the content. She never faces the camera straight on. In twelve seconds she is always turned fifteen degrees to the side. Profile shots. Three-quarter shots. One moment where she raises her arms and looks at the camera but her chin is tilted down so her eyes are in shadow. The operator learned what the mirror girl knew and what the car girl knew. Straight angles break AI faces. Every other angle sells them. The text tattoo on her ribs says something in cursive. It is readable in one frame, blurred in the next, and different in the third. The words change mid-video. Real ink does not rewrite itself. Prompts do. But nobody pauses a golden hour beach video to read a rib tattoo. The operator knows the viewer is not looking at the ribs. The driftwood on the sand behind her is the same log in every frame. But the sand around it changes. The waterline shifts forward in one cut and backward in the next. Real tides do not reverse in twelve seconds. The beach is a backdrop that was rendered once and the water was animated on top of it without tracking the continuity. The butterfly connects everything. The 7-Eleven. The beach. Two characters that were never in the same prompt but came from the same operator who never changed the tattoo line. One detail. One mistake. Two accounts exposed. That beach has never had a sunset. That sand has never been wet. But the butterfly is still the same.
0:11

I FOUND A BEACH ACCOUNT WITH 900K FOLLOWERS POSTING GOLDEN HOUR BIKINI VIDEOS FROM A TROPICAL ISLAND. I RECOGNIZED THE BUTTERFLY. IT IS THE SAME TATTOO FROM THE 7-ELEVEN GIRL. SAME OPERATOR. DIFFERENT BODY. Blue micro bikini. Butterfly tattoo on the chest. Text tattoo on the ribs. Roses on the arms. She is standing on a tropical beach at golden hour. Sand. Water. Driftwood. Trees behind her. The sun is low and backlights her from the right. Haze in the air. She moves slowly. Adjusts the top. Runs her hands through her hair. Lifts her arms above her head. Twelve seconds. It looks like a photographer's reel from Tulum. I have seen that butterfly before. The 7-Eleven girl. Different face. Different body. Different hair. Same butterfly on the same spot on the chest. Same wings. Same position between the collarbones. Two accounts. Two "girls." One tattoo pulled from the same prompt. The golden hour is not aesthetic. It is camouflage. Backlight creates lens flare. Lens flare softens edges. Soft edges hide the places where AI skin meets AI hair and the render breaks down. Every frame has a warm haze across it that the viewer reads as "cinematic" and the operator uses as a filter to cover artifacts. This is not a girl filmed at sunset. This is a render passed through the sun. The bikini is the smallest amount of fabric the algorithm will not flag. The strings are nearly invisible. The triangles cover the minimum. The operator did not pick blue for aesthetics. Blue metallic fabric catches golden hour light and shifts color between frames. It goes from royal blue to purple to copper depending on the angle. The viewer's eye tracks the color shift the way it tracked the metallic bikini in the mirror clip. The fabric is the distraction. The skin is the content. She never faces the camera straight on. In twelve seconds she is always turned fifteen degrees to the side. Profile shots. Three-quarter shots. One moment where she raises her arms and looks at the camera but her chin is tilted down so her eyes are in shadow. The operator learned what the mirror girl knew and what the car girl knew. Straight angles break AI faces. Every other angle sells them. The text tattoo on her ribs says something in cursive. It is readable in one frame, blurred in the next, and different in the third. The words change mid-video. Real ink does not rewrite itself. Prompts do. But nobody pauses a golden hour beach video to read a rib tattoo. The operator knows the viewer is not looking at the ribs. The driftwood on the sand behind her is the same log in every frame. But the sand around it changes. The waterline shifts forward in one cut and backward in the next. Real tides do not reverse in twelve seconds. The beach is a backdrop that was rendered once and the water was animated on top of it without tracking the continuity. The butterfly connects everything. The 7-Eleven. The beach. Two characters that were never in the same prompt but came from the same operator who never changed the tattoo line. One detail. One mistake. Two accounts exposed. That beach has never had a sunset. That sand has never been wet. But the butterfly is still the same.

framexin

13,411 次观看 • 9 天前

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

Oogie

59,669 次观看 • 5 个月前

A cool prompt : Warhorse sprint on a cliff aqueduct (15 seconds, single continuous shot) A sweeping wide of ancient cliffs and a narrow aqueduct clinging to them. The camera dives to a tiny moving spark: a rider on a warhorse sprinting impossibly fast along the stone channel. Lock-on: hooves strike, water splashes, stone chips fly. The camera slingshots past, whips around, and drops tight to hoof-level: droplets and grit snapping off with each impact. The aqueduct cracks; sections tilt. The rider makes a last-second lateral leap across a broken span, and the camera roll-matches the jump, skimming the water’s surface below. A rockslide slams into the far side; the pair thread between falling blocks, then burst through a mist cloud from a cascading spillway. Final reveal: the camera rockets up to show the aqueduct pouring into a sunlit terraced oasis city, suddenly serene.
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A cool prompt : Warhorse sprint on a cliff aqueduct (15 seconds, single continuous shot) A sweeping wide of ancient cliffs and a narrow aqueduct clinging to them. The camera dives to a tiny moving spark: a rider on a warhorse sprinting impossibly fast along the stone channel. Lock-on: hooves strike, water splashes, stone chips fly. The camera slingshots past, whips around, and drops tight to hoof-level: droplets and grit snapping off with each impact. The aqueduct cracks; sections tilt. The rider makes a last-second lateral leap across a broken span, and the camera roll-matches the jump, skimming the water’s surface below. A rockslide slams into the far side; the pair thread between falling blocks, then burst through a mist cloud from a cascading spillway. Final reveal: the camera rockets up to show the aqueduct pouring into a sunlit terraced oasis city, suddenly serene.

Umesh

12,156 次观看 • 4 个月前

seedance 2.0 Our website is now live. prompt： Theme: The final play in the atmosphere of the NBA Finals, a superstar's step-back three-pointer for the game-winning shot. Duration: 15 seconds. Frame: 9:16. Vertical screen. Style: Ultra-realistic sports live broadcast + cinematic bullet time replay of key moments. Core principle: Like a live broadcast, not a game, not a commercial studio shoot. 15-second storyboard: 0.0s - 2.5s Close-up sideline shot, the protagonist dribbles the ball at a 45-degree angle on the right side. The arena is packed, with a real score bar and countdown at the top. The camera shakes slightly, like a handheld stabilizer used with a telephoto lens for broadcasting. The rubbing of shoes and the suppressed cheers of the crowd can be heard. 2.5s - 5.0s The defender closes in, the protagonist dribbles and changes direction repeatedly, probing with his shoulder, the physical contact is obvious. The camera zooms in on the dribbling area above the chest and waist, sweat, breathing, and jersey movements are clearly visible. The basket remains visible in the upper part of the frame. 5.0s - 7.0s The protagonist suddenly stops and steps back, creating half a step of space. The timer has only 2 to 3 seconds left. The commentator's volume rises, and the audience begins to stand. This is a build-up of emotion, no slow motion. 7.0s - 8.5s: Jump and release, entering bullet time. The camera circles in a semi-circle from the protagonist's side and front, moving at an extremely slow speed. Focused close-ups: fingers flicking the ball, beads of sweat hanging in the air, jersey fibers, shoe soles leaving the ground, audience flashes, the backboard and lights creating a strong sense of spatial depth. 8.5s - 10.5s: Instantly returning to normal speed, the basketball arcs high towards the basket. The camera zooms in slightly, the net, rim, and scoreboard all in focus. The sound effects tighten, briefly lowering the ambient noise to make the basket more impactful. 10.5s - 12.0s: Swish through the net, the "swish" of the net is very clear, the buzzer sounds almost simultaneously. The score changes, the commentator explodes, the audience erupts. 12.0s - 15.0s: The protagonist lands, turns around, and roars or spreads his arms in celebration; teammates rush over, the audience erupts in cheers, and cell phone flashes fill the screen. The camera then switches back to a live broadcast style, retaining a slight sense of compression and the chaotic atmosphere of the scene, like capturing the actual moment after the match.
0:15

seedance 2.0 Our website is now live. prompt： Theme: The final play in the atmosphere of the NBA Finals, a superstar's step-back three-pointer for the game-winning shot. Duration: 15 seconds. Frame: 9:16. Vertical screen. Style: Ultra-realistic sports live broadcast + cinematic bullet time replay of key moments. Core principle: Like a live broadcast, not a game, not a commercial studio shoot. 15-second storyboard: 0.0s - 2.5s Close-up sideline shot, the protagonist dribbles the ball at a 45-degree angle on the right side. The arena is packed, with a real score bar and countdown at the top. The camera shakes slightly, like a handheld stabilizer used with a telephoto lens for broadcasting. The rubbing of shoes and the suppressed cheers of the crowd can be heard. 2.5s - 5.0s The defender closes in, the protagonist dribbles and changes direction repeatedly, probing with his shoulder, the physical contact is obvious. The camera zooms in on the dribbling area above the chest and waist, sweat, breathing, and jersey movements are clearly visible. The basket remains visible in the upper part of the frame. 5.0s - 7.0s The protagonist suddenly stops and steps back, creating half a step of space. The timer has only 2 to 3 seconds left. The commentator's volume rises, and the audience begins to stand. This is a build-up of emotion, no slow motion. 7.0s - 8.5s: Jump and release, entering bullet time. The camera circles in a semi-circle from the protagonist's side and front, moving at an extremely slow speed. Focused close-ups: fingers flicking the ball, beads of sweat hanging in the air, jersey fibers, shoe soles leaving the ground, audience flashes, the backboard and lights creating a strong sense of spatial depth. 8.5s - 10.5s: Instantly returning to normal speed, the basketball arcs high towards the basket. The camera zooms in slightly, the net, rim, and scoreboard all in focus. The sound effects tighten, briefly lowering the ambient noise to make the basket more impactful. 10.5s - 12.0s: Swish through the net, the "swish" of the net is very clear, the buzzer sounds almost simultaneously. The score changes, the commentator explodes, the audience erupts. 12.0s - 15.0s: The protagonist lands, turns around, and roars or spreads his arms in celebration; teammates rush over, the audience erupts in cheers, and cell phone flashes fill the screen. The camera then switches back to a live broadcast style, retaining a slight sense of compression and the chaotic atmosphere of the scene, like capturing the actual moment after the match.

underwood

33,358 次观看 • 5 个月前

Created on seedance 2.0 Prompt: A cinematic, atmospheric scene in a dimly lit, empty underground parking garage at night. A young East Asian woman with long dark hair, wearing an olive-green oversized jacket and cargo pants, walks slowly away from the camera down the center of a wide parking lane, holding a white plastic bag in her right hand. The environment is cool-toned with concrete pillars, fluorescent tube lights on the ceiling casting harsh shadows, and painted arrows on the glossy floor. She approaches a parked dark green/teal luxury sedan on the right side. She stops beside the car, raises her arm, and hangs the white plastic bag on the side mirror or door handle. She then turns slightly toward the camera, leans against the car for a moment, pulls out her phone with both hands, and looks down at the screen with a focused, slightly uneasy expression. Suddenly, a eerie supernatural moment: a translucent, ghostly pale female figure with long black hair and a white dress materializes in the background behind her. The woman looks up from her phone in shock as the ghost stands motionless, staring. Quick motion blur and dramatic tension as she reacts. Moody horror-thriller style, realistic lighting, subtle film grain, cool blue-cyan color grading, slow deliberate camera movement following her from behind then panning slightly to the side. 12-second duration, high detail, cinematic." This prompt captures the full sequence from the provided video frames while being optimized for AI video tools. You can adjust details like aspect ratio (16:9), style (more horror, more realistic), or camera movement as needed.
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Created on seedance 2.0 Prompt: A cinematic, atmospheric scene in a dimly lit, empty underground parking garage at night. A young East Asian woman with long dark hair, wearing an olive-green oversized jacket and cargo pants, walks slowly away from the camera down the center of a wide parking lane, holding a white plastic bag in her right hand. The environment is cool-toned with concrete pillars, fluorescent tube lights on the ceiling casting harsh shadows, and painted arrows on the glossy floor. She approaches a parked dark green/teal luxury sedan on the right side. She stops beside the car, raises her arm, and hangs the white plastic bag on the side mirror or door handle. She then turns slightly toward the camera, leans against the car for a moment, pulls out her phone with both hands, and looks down at the screen with a focused, slightly uneasy expression. Suddenly, a eerie supernatural moment: a translucent, ghostly pale female figure with long black hair and a white dress materializes in the background behind her. The woman looks up from her phone in shock as the ghost stands motionless, staring. Quick motion blur and dramatic tension as she reacts. Moody horror-thriller style, realistic lighting, subtle film grain, cool blue-cyan color grading, slow deliberate camera movement following her from behind then panning slightly to the side. 12-second duration, high detail, cinematic." This prompt captures the full sequence from the provided video frames while being optimized for AI video tools. You can adjust details like aspect ratio (16:9), style (more horror, more realistic), or camera movement as needed.

liana

12,075 次观看 • 2 个月前

#runway Gen-3 ❤️ Prompt share 🧵 Community 🫶🏼 Starting from a ground-level view of a road leading towards a tunnel in a graffiti covered city with skyscrapers in the background, the camera tracks smoothly along the road into a short dark tunnel. As it emerges on the other side, the camera rapidly ascends, revealing the road continuing through a huge field of multicoloured wildflowers surrounded by snow capped mountains.
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#runway Gen-3 ❤️ Prompt share 🧵 Community 🫶🏼 Starting from a ground-level view of a road leading towards a tunnel in a graffiti covered city with skyscrapers in the background, the camera tracks smoothly along the road into a short dark tunnel. As it emerges on the other side, the camera rapidly ascends, revealing the road continuing through a huge field of multicoloured wildflowers surrounded by snow capped mountains.

aroha

33,524 次观看 • 2 年前

Is this the low-key best effect in “it’s a small world?” The sun rays on the rotating disk are cut at different angles from the static sun, giving it a pulsating effect.
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Is this the low-key best effect in “it’s a small world?” The sun rays on the rotating disk are cut at different angles from the static sun, giving it a pulsating effect.

Parkeology

21,845 次观看 • 5 天前

Same prompt. Same character. Two MiniMax models — very different results 👀 MiniMax H3 Max and H3 are both available with Unlimited generations on Pollo AI right now. So I put them side by side to see how they handle the exact same prompt. The differences in motion, consistency, and detail were pretty noticeable. The results were interesting to compare. Which one is your pick? Prompt : Photorealistic cinematic cozy 1990s-inspired American café, warm wooden interiors, red leather booths, chrome details, vintage coffee machines, large windows, soft morning sunlight, realistic customers, subtle handheld camera texture, rich lived-in detail, natural film grain. Use the provided reference image as the exact character lock for the girl. Preserve her facial identity, eye color, hairstyle, skin texture, body proportions, makeup, and outfit consistency throughout. 0–4s — [Medium Wide] The girl sits peacefully at a café table enjoying her coffee and a slice of cake. She smiles toward the camera, takes a sip, then stands up to grab a napkin. As she turns, she accidentally bumps into a waiter carrying a large tray of coffees and pastries. 4–9s — [Dynamic Tracking → Super Slow Motion] The collision sends everything flying. Coffee cups, pastries, whipped cream, spoons, and coffee droplets explode into the air. Suddenly, time freezes completely at the peak of the chaos. Every customer, the waiter, and every flying object remains perfectly suspended. Only the girl can move. She looks around in disbelief, slowly walks through the frozen coffee disaster, picks up one perfectly suspended croissant, looks directly into the camera, and casually takes a bite. 9–12s — [Smooth Tracking Shot] She calmly walks toward the café exit while eating the croissant. Frozen coffee droplets sparkle in the sunlight around her. She casually fixes her hair and continues walking as if nothing happened. 12–15s — [Medium Close-Up] Just as she reaches the door, time snaps back to normal. Cups crash onto tables, coffee splashes everywhere, pastries hit the floor, and the waiter reacts in shock. She turns toward the camera, raises her eyebrows, gives a tiny guilty smile and shrugs before walking out. Ultra-realistic coffee and pastry physics, realistic liquid splashes, accurate gravity, believable reactions, precise time-freeze effect, cinematic camera orbit, natural facial expressions, realistic reflections, shallow depth of field, warm cinematic lighting, subtle film grain, movie-level temporal coherence, 4K HDR, 24fps, 16 9 Negative Prompt: No subtitles, captions, logos, watermarks, duplicate people, distorted anatomy, extra fingers, facial changes, inconsistent outfit, flickering, cartoon style, unrealistic physics, floating objects outside the intentional freeze sequence, AI artifacts.
0:15

Same prompt. Same character. Two MiniMax models — very different results 👀 MiniMax H3 Max and H3 are both available with Unlimited generations on Pollo AI right now. So I put them side by side to see how they handle the exact same prompt. The differences in motion, consistency, and detail were pretty noticeable. The results were interesting to compare. Which one is your pick? Prompt : Photorealistic cinematic cozy 1990s-inspired American café, warm wooden interiors, red leather booths, chrome details, vintage coffee machines, large windows, soft morning sunlight, realistic customers, subtle handheld camera texture, rich lived-in detail, natural film grain. Use the provided reference image as the exact character lock for the girl. Preserve her facial identity, eye color, hairstyle, skin texture, body proportions, makeup, and outfit consistency throughout. 0–4s — [Medium Wide] The girl sits peacefully at a café table enjoying her coffee and a slice of cake. She smiles toward the camera, takes a sip, then stands up to grab a napkin. As she turns, she accidentally bumps into a waiter carrying a large tray of coffees and pastries. 4–9s — [Dynamic Tracking → Super Slow Motion] The collision sends everything flying. Coffee cups, pastries, whipped cream, spoons, and coffee droplets explode into the air. Suddenly, time freezes completely at the peak of the chaos. Every customer, the waiter, and every flying object remains perfectly suspended. Only the girl can move. She looks around in disbelief, slowly walks through the frozen coffee disaster, picks up one perfectly suspended croissant, looks directly into the camera, and casually takes a bite. 9–12s — [Smooth Tracking Shot] She calmly walks toward the café exit while eating the croissant. Frozen coffee droplets sparkle in the sunlight around her. She casually fixes her hair and continues walking as if nothing happened. 12–15s — [Medium Close-Up] Just as she reaches the door, time snaps back to normal. Cups crash onto tables, coffee splashes everywhere, pastries hit the floor, and the waiter reacts in shock. She turns toward the camera, raises her eyebrows, gives a tiny guilty smile and shrugs before walking out. Ultra-realistic coffee and pastry physics, realistic liquid splashes, accurate gravity, believable reactions, precise time-freeze effect, cinematic camera orbit, natural facial expressions, realistic reflections, shallow depth of field, warm cinematic lighting, subtle film grain, movie-level temporal coherence, 4K HDR, 24fps, 16 9 Negative Prompt: No subtitles, captions, logos, watermarks, duplicate people, distorted anatomy, extra fingers, facial changes, inconsistent outfit, flickering, cartoon style, unrealistic physics, floating objects outside the intentional freeze sequence, AI artifacts.

Synthia

15,065 次观看 • 11 天前

A sinusoidally-excited dipole antenna radiates equally in all directions perpendicular to its axis. The xz view is the "side view" which shows the length of the antenna, and the xy view is the "top view" which looks down along the antenna axis. The middle plots show two antennas spaced a quarter wavelength apart, with their electrical excitations offset by 90 degrees. This "directional array" radiates preferentially toward one side. The right plots show four antennas, spaced by a quarter wavelength and with a 90-degree electrical shift between adjacent antennas (basically, just an extension of the two-antenna case). The main beam gets even tighter and more focused, but this comes at the expense of the radiation pattern developing "side lobes" which are visible in the xy view. The total input power is the same in all three cases, to make a fair comparison.
0:13

A sinusoidally-excited dipole antenna radiates equally in all directions perpendicular to its axis. The xz view is the "side view" which shows the length of the antenna, and the xy view is the "top view" which looks down along the antenna axis. The middle plots show two antennas spaced a quarter wavelength apart, with their electrical excitations offset by 90 degrees. This "directional array" radiates preferentially toward one side. The right plots show four antennas, spaced by a quarter wavelength and with a 90-degree electrical shift between adjacent antennas (basically, just an extension of the two-antenna case). The main beam gets even tighter and more focused, but this comes at the expense of the radiation pattern developing "side lobes" which are visible in the xy view. The total input power is the same in all three cases, to make a fair comparison.

RossRadio

39,103 次观看 • 9 个月前

👀Seeing #CryptoNinja lay waste to their opponents in the #NFTDuel arena is a delight. The ability to see it from various angles is the icing on top. 📷Use the Camera Feature to see action from your favorite angle. #NinjaDAO #CNP #Metaverse #P2E
0:10

👀Seeing #CryptoNinja lay waste to their opponents in the #NFTDuel arena is a delight. The ability to see it from various angles is the icing on top. 📷Use the Camera Feature to see action from your favorite angle. #NinjaDAO #CNP #Metaverse #P2E

XANA

23,060 次观看 • 3 年前

Only one Adobe Firefly video prompt from our research hit production-ready on the first generation. Prompt in comments 👀 It looks you have to direct the camera as much as the model to get the most out of Firefly. Every other video session in our research needed a revision. Revising the first frame is where Firefly broke: >motion failures (temporal flicker, motion continuity, physics in motion) carried 60% of video's issue mix once designers re-prompted. TLDR: in Adobe Firefly, the camera does a lot of the work. Bake it into the first prompt and the video lands. Its by far the best time to be a creative.
0:16

Only one Adobe Firefly video prompt from our research hit production-ready on the first generation. Prompt in comments 👀 It looks you have to direct the camera as much as the model to get the most out of Firefly. Every other video session in our research needed a revision. Revising the first frame is where Firefly broke: >motion failures (temporal flicker, motion continuity, physics in motion) carried 60% of video's issue mix once designers re-prompted. TLDR: in Adobe Firefly, the camera does a lot of the work. Bake it into the first prompt and the video lands. Its by far the best time to be a creative.

ben @ CVPR

12,847 次观看 • 3 个月前