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MINIMAX IS UNHINGED → NAUGHTY PIKACHU This tool is too much fun. MIDJOURNEY PROMPT: flash photo, Batman and real life pikachu having fun at a house party, 1980s --ar 3:2 --stylize 75 --v 6.1 MINMAX PROMPT STRUCTURES: 01. The camera [motion/direction] as Pikachu and Batman [action] 02. The camera...

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Rory Flynn

28,561 subscribers

78,300 Aufrufe • vor 1 Jahr •via X (Twitter)

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10 Kommentare

Profilbild von Pikanou ⚡🏴‍☠️
Pikanou ⚡🏴‍☠️vor 1 Jahr

Hey that's me😎

Profilbild von Rory Flynn
Rory Flynnvor 1 Jahr

🤣🤣

Profilbild von Stinky Joe
Stinky Joevor 1 Jahr

I love Minimax

Profilbild von awesome_visuals
awesome_visualsvor 1 Jahr

stop feeding my mind, its crazy as it is!!! amazing as usual Rory, love it.

Profilbild von Rory Flynn
Rory Flynnvor 1 Jahr

Let it run wild...it's friday 🤣

Profilbild von Drew Brucker
Drew Bruckervor 1 Jahr

I mean, just so good 😂

Profilbild von TCP
TCPvor 1 Jahr

Cool

Profilbild von Rory Flynn
Rory Flynnvor 1 Jahr

@TcpXai 💪💪💪

Profilbild von Allar Haltsonen
Allar Haltsonenvor 1 Jahr

Aaaaha bro is getting wild with it 😂

Profilbild von Rory Flynn
Rory Flynnvor 1 Jahr

Gotta have some fun with it

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Minimax is drunk → And it's awesome. So stupid...but I can't stop. (11) prompts used ↓ MJ PROMPT: movie still of a comedy film that was never made, and movie we never needed lol --chaos 10 --p --stylize 200 MINIMAX PROMPTS: 01. 2 men walking towards a bodega counter, offering the cashier and ice cream cone. 02. the camera pans down as a peacock walks through a bodega by 2 men 03. the camera pans right as 2 men walk right towards the bodega counter to offer the cashier a kitten 04. the camera pans down to reveal 2 men wearing clown shoes as they start to dance 05. the camera follows as 2 men shake pom-poms 06. 2 men turn to eachother and point at each other awkwardly 07. 2 men slowly raise pumpkins into the frame awkwardly 08. the camera pans right as 2 men walk right before shaking hands with a goofy alien 09. the camera whip-pans right to two children in goofy suits wearing oversized sunglasses with their arms crossed 10. the camera dolly-pushes in on the man's awkward terrified face lol #minimax #hailuo_ai #midjourney

Rory Flynn

41,143 Aufrufe • vor 1 Jahr

MINIMAX OUTTAKES V2 → ABSURD I swear it has comedic timing. MIDJOURNEY PROMPT: movie still of a comedy film that was never made, and movie we never needed lol --chaos 10 --ar 16:9 --p--stylize 200 --v 6.1 MINIMAX PROMPT STRUCTURE: The camera [motion] as 2 men [action] MINIMAX EX: the camera follows as 2 men run to the right as they are chased by a goofy t-rex #minimax #hailuo_ai #midjourney Hailuo AI-MiniMax Hub
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MINIMAX OUTTAKES V2 → ABSURD I swear it has comedic timing. MIDJOURNEY PROMPT: movie still of a comedy film that was never made, and movie we never needed lol --chaos 10 --ar 16:9 --p--stylize 200 --v 6.1 MINIMAX PROMPT STRUCTURE: The camera [motion] as 2 men [action] MINIMAX EX: the camera follows as 2 men run to the right as they are chased by a goofy t-rex #minimax #hailuo_ai #midjourney Hailuo AI-MiniMax Hub

Rory Flynn

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Frames + Midjourney → RUNWAY GEN-4. Big update...much improved. PROMPT STRUCTURE: [shot type], [subject + action + motion + direction] [env]. [Camera motion], [env description], [lighting], [mood/emotion]. PROMPT EX: A fast action tracking shot of a young man skateboarding towards us down a dusty desert road. The camera pulls out on him as he weaves on his skateboard casually. Behind him, a colossal fiery mushroom cloud expands into the sky and towards us, growing methodically larger. The lighting is natural and cinematic, with warm tones from the blast contrasting against the cool shadows of the dunes. The handheld camera movement adds rawness and tension to the scene. #midjourney #runway #promptshare
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Frames + Midjourney → RUNWAY GEN-4. Big update...much improved. PROMPT STRUCTURE: [shot type], [subject + action + motion + direction] [env]. [Camera motion], [env description], [lighting], [mood/emotion]. PROMPT EX: A fast action tracking shot of a young man skateboarding towards us down a dusty desert road. The camera pulls out on him as he weaves on his skateboard casually. Behind him, a colossal fiery mushroom cloud expands into the sky and towards us, growing methodically larger. The lighting is natural and cinematic, with warm tones from the blast contrasting against the cool shadows of the dunes. The handheld camera movement adds rawness and tension to the scene. #midjourney #runway #promptshare

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Minimax Natural Motion → Solid. All the video tools offer something different. MJ PROMPT: homesteader, epic cinema --ar 5:3 --p MINIMAX PROMPTS: 1. zooming in shot of a man eating arguala from a bowl 2. pulling in shot as a donkey walks towards a young girl and nuzzles her face, subtle breeze blowing hair, natural dynamic motion 3. cinematic shot of a man walking up a hill to the right as the camera sharply focuses on him, farm animals grazing in the background 4. The camera motions to the right, man walking away from us towards an old house as the camera sharply focuses on him, subtle breeze blows the high grass 5. cinematic shot of a cowboy embracing his cow lovingly #minimax #hailuoai #midjourney
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Minimax Natural Motion → Solid. All the video tools offer something different. MJ PROMPT: homesteader, epic cinema --ar 5:3 --p MINIMAX PROMPTS: 1. zooming in shot of a man eating arguala from a bowl 2. pulling in shot as a donkey walks towards a young girl and nuzzles her face, subtle breeze blowing hair, natural dynamic motion 3. cinematic shot of a man walking up a hill to the right as the camera sharply focuses on him, farm animals grazing in the background 4. The camera motions to the right, man walking away from us towards an old house as the camera sharply focuses on him, subtle breeze blows the high grass 5. cinematic shot of a cowboy embracing his cow lovingly #minimax #hailuoai #midjourney

Rory Flynn

77,731 Aufrufe • vor 1 Jahr

KLING ELEMENTS → More tests. Subject + Environment + Object. KLING PROMPT EX: A cinematic tracking shot of a beautiful woman wearing black swimwear, a black coverup skirt, and a feathered headdress, walking out of a stunning Morrocan hotel doorway down a tiled path toward the camera. She is strutting with extreme confidence as she walks towards the camera. As she comes close, the scene reveals she is walking towards A smokey blue lamborghini in the hotel entrance. The car is shiny with immaculate reflections. Shot in cinematic 4k. #midjourney #kling Kling AI
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KLING ELEMENTS → More tests. Subject + Environment + Object. KLING PROMPT EX: A cinematic tracking shot of a beautiful woman wearing black swimwear, a black coverup skirt, and a feathered headdress, walking out of a stunning Morrocan hotel doorway down a tiled path toward the camera. She is strutting with extreme confidence as she walks towards the camera. As she comes close, the scene reveals she is walking towards A smokey blue lamborghini in the hotel entrance. The car is shiny with immaculate reflections. Shot in cinematic 4k. #midjourney #kling Kling AI

Rory Flynn

106,461 Aufrufe • vor 1 Jahr

I like this prompt. 4K seedance 2.5 prompt： A realistic handheld travel vlog filmed by a friend following the main character throughout the day. Use the woman from the reference image as the main subject. Maintain her exact facial identity, hairstyle, facial features, and body proportions throughout the entire video. The camera feels like a real personal vlog camera, not a commercial production. Natural handheld movement, casual framing, imperfect human camera motion, authentic everyday atmosphere. No scripted acting. The woman behaves naturally, interacting with the environment like a real travel vlog. 0-5s: Morning departure. The woman leaves a cozy apartment with a small backpack. She checks her phone, smiles at the camera, adjusts her hair, and starts walking outside. The camera follows her from behind, slightly shaky like a friend filming. Morning sunlight, quiet neighborhood streets, people starting their day. 5-12s: Exploring the city. The camera follows her walking through local streets. She visits a small cafe, buys a drink, briefly talks to the camera, laughs naturally. She walks through a street market, looks at small shops, takes casual photos. The camera stays close, capturing spontaneous moments. 12-20s: Arriving at the beach. She takes public transportation or walks toward the coast. The environment gradually changes from city streets to a seaside town. Ocean breeze moves her hair. She looks excited when she sees the ocean. The camera follows her walking along the beach. She picks up a seashell, watches waves, and interacts naturally with people nearby. 20-27s: Summer beach afternoon. She meets friends at the beach. Everyone chats, laughs, plays near the water. The camera moves naturally between people, capturing real candid moments. She looks back at the camera and smiles. 27-30s: Ending moment. Golden hour sunset. She sits near the ocean, holding a drink, watching the sunset. The camera slowly moves backward, revealing the beach, waves, and the peaceful evening. A feeling of a real personal travel memory. Visual style: Authentic travel vlog footage. Realistic smartphone or mirrorless camera look. Natural daylight. Casual handheld movement. Slight camera shake. Real human reactions. Documentary realism. No cinematic commercial look. No dramatic posing. No artificial transitions. No text overlays. No logos. No face changes. No identity changes.
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I like this prompt. 4K seedance 2.5 prompt： A realistic handheld travel vlog filmed by a friend following the main character throughout the day. Use the woman from the reference image as the main subject. Maintain her exact facial identity, hairstyle, facial features, and body proportions throughout the entire video. The camera feels like a real personal vlog camera, not a commercial production. Natural handheld movement, casual framing, imperfect human camera motion, authentic everyday atmosphere. No scripted acting. The woman behaves naturally, interacting with the environment like a real travel vlog. 0-5s: Morning departure. The woman leaves a cozy apartment with a small backpack. She checks her phone, smiles at the camera, adjusts her hair, and starts walking outside. The camera follows her from behind, slightly shaky like a friend filming. Morning sunlight, quiet neighborhood streets, people starting their day. 5-12s: Exploring the city. The camera follows her walking through local streets. She visits a small cafe, buys a drink, briefly talks to the camera, laughs naturally. She walks through a street market, looks at small shops, takes casual photos. The camera stays close, capturing spontaneous moments. 12-20s: Arriving at the beach. She takes public transportation or walks toward the coast. The environment gradually changes from city streets to a seaside town. Ocean breeze moves her hair. She looks excited when she sees the ocean. The camera follows her walking along the beach. She picks up a seashell, watches waves, and interacts naturally with people nearby. 20-27s: Summer beach afternoon. She meets friends at the beach. Everyone chats, laughs, plays near the water. The camera moves naturally between people, capturing real candid moments. She looks back at the camera and smiles. 27-30s: Ending moment. Golden hour sunset. She sits near the ocean, holding a drink, watching the sunset. The camera slowly moves backward, revealing the beach, waves, and the peaceful evening. A feeling of a real personal travel memory. Visual style: Authentic travel vlog footage. Realistic smartphone or mirrorless camera look. Natural daylight. Casual handheld movement. Slight camera shake. Real human reactions. Documentary realism. No cinematic commercial look. No dramatic posing. No artificial transitions. No text overlays. No logos. No face changes. No identity changes.

underwood

75,830 Aufrufe • vor 1 Monat

So Runway Gen 4.5 finally adds image-to-video, the workflow most pros rely on for consistency. We put it head to head with Kling AI and Google Flow VEO using the same reference images and prompts (below) to evaluate motion quality, stability, and cinematic realism. 1. Action/WaterPhysics Test Prompt: Cinematic, wide-shot of a man running in a shallow river. The camera is tracking the man from behind as he runs up the river. Handheld camera shake as the camera follows the man. 2. Fire Physics Test Prompt: Cinematic, wide-shot of terrified woman running towards her burning barn. She abruptly stops, and puts in hands on her head as she watches her barn burn down. 3. VFX test prompt: Cinematic, wide-shot of a hooded figure. Flashes of purple magic and smoke whirl around the figure. The figure lifts its arms as the purple magic and smoke intensifies. 4. 2D Animation Test Prompt: 2D animated shot of a waiting at a bus stop in a thunderstorm. The man turns, walks to the bench, and sits down. 5. 3D Animation Test Prompt: 3D animated shot of an octopus. The octopus reaches into a coral and picks up a glowing white gem. 6. Conversation Test Prompt: slow camera push-in as two friends are having a conversation at a coffee shop Overall verdict: Despite the “world’s best” claim, Runway Gen 4.5 is not there yet. Prompt adherence is solid, but motion, physics, and cinematic realism still lag behind tools like Kling and VEO. Great platform, mid-tier model for now.
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So Runway Gen 4.5 finally adds image-to-video, the workflow most pros rely on for consistency. We put it head to head with Kling AI and Google Flow VEO using the same reference images and prompts (below) to evaluate motion quality, stability, and cinematic realism. 1. Action/WaterPhysics Test Prompt: Cinematic, wide-shot of a man running in a shallow river. The camera is tracking the man from behind as he runs up the river. Handheld camera shake as the camera follows the man. 2. Fire Physics Test Prompt: Cinematic, wide-shot of terrified woman running towards her burning barn. She abruptly stops, and puts in hands on her head as she watches her barn burn down. 3. VFX test prompt: Cinematic, wide-shot of a hooded figure. Flashes of purple magic and smoke whirl around the figure. The figure lifts its arms as the purple magic and smoke intensifies. 4. 2D Animation Test Prompt: 2D animated shot of a waiting at a bus stop in a thunderstorm. The man turns, walks to the bench, and sits down. 5. 3D Animation Test Prompt: 3D animated shot of an octopus. The octopus reaches into a coral and picks up a glowing white gem. 6. Conversation Test Prompt: slow camera push-in as two friends are having a conversation at a coffee shop Overall verdict: Despite the “world’s best” claim, Runway Gen 4.5 is not there yet. Prompt adherence is solid, but motion, physics, and cinematic realism still lag behind tools like Kling and VEO. Great platform, mid-tier model for now.

Curious Refuge

25,712 Aufrufe • vor 8 Monaten

Seedance 2.5 vlog case. This is so real. ---prompt--- A realistic handheld travel vlog filmed by a friend following the main character throughout the day. Use the woman from the reference image as the main subject. Maintain her exact facial identity, hairstyle, facial features, and body proportions throughout the entire video. The camera feels like a real personal vlog camera, not a commercial production. Natural handheld movement, casual framing, imperfect human camera motion, authentic everyday atmosphere. No scripted acting. The woman behaves naturally, interacting with the environment like a real travel vlog. 0-5s: Morning departure. The woman leaves a cozy apartment with a small backpack. She checks her phone, smiles at the camera, adjusts her hair, and starts walking outside. The camera follows her from behind, slightly shaky like a friend filming. Morning sunlight, quiet neighborhood streets, people starting their day. 5-12s: Exploring the city. The camera follows her walking through local streets. She visits a small cafe, buys a drink, briefly talks to the camera, laughs naturally. She walks through a street market, looks at small shops, takes casual photos. The camera stays close, capturing spontaneous moments. 12-20s: Arriving at the beach. She takes public transportation or walks toward the coast. The environment gradually changes from city streets to a seaside town. Ocean breeze moves her hair. She looks excited when she sees the ocean. The camera follows her walking along the beach. She picks up a seashell, watches waves, and interacts naturally with people nearby. 20-27s: Summer beach afternoon. She meets friends at the beach. Everyone chats, laughs, plays near the water. The camera moves naturally between people, capturing real candid moments. She looks back at the camera and smiles. 27-30s: Ending moment. Golden hour sunset. She sits near the ocean, holding a drink, watching the sunset. The camera slowly moves backward, revealing the beach, waves, and the peaceful evening. A feeling of a real personal travel memory. Visual style: Authentic travel vlog footage. Realistic smartphone or mirrorless camera look. Natural daylight. Casual handheld movement. Slight camera shake. Real human reactions. Documentary realism. No cinematic commercial look. No dramatic posing. No artificial transitions. No text overlays. No logos. No face changes. No identity changes.
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Seedance 2.5 vlog case. This is so real. ---prompt--- A realistic handheld travel vlog filmed by a friend following the main character throughout the day. Use the woman from the reference image as the main subject. Maintain her exact facial identity, hairstyle, facial features, and body proportions throughout the entire video. The camera feels like a real personal vlog camera, not a commercial production. Natural handheld movement, casual framing, imperfect human camera motion, authentic everyday atmosphere. No scripted acting. The woman behaves naturally, interacting with the environment like a real travel vlog. 0-5s: Morning departure. The woman leaves a cozy apartment with a small backpack. She checks her phone, smiles at the camera, adjusts her hair, and starts walking outside. The camera follows her from behind, slightly shaky like a friend filming. Morning sunlight, quiet neighborhood streets, people starting their day. 5-12s: Exploring the city. The camera follows her walking through local streets. She visits a small cafe, buys a drink, briefly talks to the camera, laughs naturally. She walks through a street market, looks at small shops, takes casual photos. The camera stays close, capturing spontaneous moments. 12-20s: Arriving at the beach. She takes public transportation or walks toward the coast. The environment gradually changes from city streets to a seaside town. Ocean breeze moves her hair. She looks excited when she sees the ocean. The camera follows her walking along the beach. She picks up a seashell, watches waves, and interacts naturally with people nearby. 20-27s: Summer beach afternoon. She meets friends at the beach. Everyone chats, laughs, plays near the water. The camera moves naturally between people, capturing real candid moments. She looks back at the camera and smiles. 27-30s: Ending moment. Golden hour sunset. She sits near the ocean, holding a drink, watching the sunset. The camera slowly moves backward, revealing the beach, waves, and the peaceful evening. A feeling of a real personal travel memory. Visual style: Authentic travel vlog footage. Realistic smartphone or mirrorless camera look. Natural daylight. Casual handheld movement. Slight camera shake. Real human reactions. Documentary realism. No cinematic commercial look. No dramatic posing. No artificial transitions. No text overlays. No logos. No face changes. No identity changes.

BubbleBrain

369,071 Aufrufe • vor 2 Monaten

Kamo-1 is officially live in Open Beta and it pushes AI video into a new vertical: control. Most models chase fidelity. Kamo-1 focuses on performance control & direction. • Act out a motion → get the full-body performance • Choose camera trajectory → get real cinematography Check it out: Comment “Character motion & camera control” in the first 24 hours to get 300 credits!
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Kamo-1 is officially live in Open Beta and it pushes AI video into a new vertical: control. Most models chase fidelity. Kamo-1 focuses on performance control & direction. • Act out a motion → get the full-body performance • Choose camera trajectory → get real cinematography Check it out: Comment “Character motion & camera control” in the first 24 hours to get 300 credits!

Kinetix

61,708 Aufrufe • vor 10 Monaten

You finally get to see the scene that was never supposed to exist. 👀 Made with Pollo AI 365 days of unlimited MiniMax H3. No extra credits, no limits just create. Prompt: Vertical 9:16 smartphone vlog, shot on iPhone 17 Pro. ONE SINGLE UNINTERRUPTED HANDHELD TAKE, ~30 seconds, no cuts, no editing — every transition happens only through the vlogger panning, tilting, zooming or walking. Brisk, snappy pacing: quick whip pans, each beat lands in a few seconds, the camera never lingers. Sunny daytime New York City street >> — brick facades, fire escapes, a sidewalk café, parked cars. The filming style is the core of the video: natural hand micro-shake and walking bounce, slightly floaty digital stabilization, deep focus with everything sharp — no cinematic bokeh, no film look, no color grading. Natural HDR daylight, sky highlights slightly clipped, auto exposure and white balance visibly re-adjusting on every pan between shade and sun, quick autofocus hunting on fast pans, digital zoom bringing a slight quality drop and extra shake. Audio: raw street ambience only — traffic, distant horns, footsteps, chatter, wind brushing the mic, plus the live sounds written into the scenes. No music track, no captions, no watermark. IMPORTANT CHARACTER AND POV LOCK: The vlogger is ALWAYS >>. The vlogger is a man, and he remains the same person throughout the entire video. He is the person physically holding and operating the single camera. He is NEVER replaced by any other reference character. Reference images used in individual scenes describe ONLY the people or animals appearing in that specific scene, unless explicitly stated otherwise. The vlogger’s phone IS the camera — it never appears on screen, and he never holds a second phone or any other device. When the front camera is active, the viewer sees the vlogger himself in selfie view. When the rear camera is active, the viewer sees ONLY the environment and subjects in front of him from his physical walking POV. The phone itself is NEVER visible. This is a continuous real-world camera transition, not a cut. 0:00–0:05 — FRONT CAMERA / SELFIE POV: The vlogger >> films himself at arm’s length while walking down the sidewalk. His face is a touch overexposed by daylight. He starts excitedly: “Guys! I just—” Behind his shoulder, a couple walking the opposite way passes right beside him. A beat later, the guy >> stops and turns back, head over his shoulder, staring straight at the vlogger — matching the reference pose. His girlfriend >>, still gripping his hand, glares at him in outraged disbelief, mouth open. They hold the exact reference tableau. His stare reads odd and unreadable, NOT flirty. The vlogger sees them in his own selfie frame, cuts himself off mid-word and reacts instantly without breaking stride: “…What was that?” He keeps walking. 0:05–0:09 — FLIP TO REAR CAMERA / VLOGGER’S PHYSICAL POV: WITHOUT CUTTING, the vlogger physically flips the phone from front camera to rear camera. The camera itself is never visible. The image transitions naturally from selfie view into the rear-camera view of exactly what is in front of him. He immediately WHIPS the rear camera to the RIGHT toward a sidewalk café. By the entrance, a guy >> stands at a microphone on a stand, with a small speaker beside him looping a soft instrumental backing. He leans toward the microphone, takes a breath to sing the first line — and suddenly bursts out laughing instead, turning away and covering his mouth. He waves it off, then resets toward the microphone. The vlogger laughs quietly behind the camera. 0:09–0:13 — REAR CAMERA / CONTINUOUS POV: WITHOUT CUTTING, the vlogger continues physically panning RIGHT along the same café terrace. At one table, a woman >> is mid-meltdown — crying, shouting, jabbing an accusing finger across the terrace — while her friend >> leans in and holds her back. The camera then makes a QUICK PUNCH-IN DIGITAL ZOOM toward the opposite table. The cat >> sits upright behind a plate of salad, perfectly calm and completely unimpressed by the chaos. Autofocus hunts for a split second during the zoom. The vlogger continues walking. 0:13–0:17 — REAR CAMERA / FIRST SHOW THE MAN, THEN FOLLOW HIS GAZE UP: WITHOUT CUTTING, the camera moves slightly farther along the sidewalk and FIRST frames the man >> standing on the street near the building. IMPORTANT: The man >> is NOT the vlogger. He is a separate person standing in the environment. He is NOT holding the camera, NOT filming himself, and NEVER becomes the POV character. The camera clearly shows his full upper body as he stands below the building, looking UP toward the second floor. His head is tilted upward and his eyes are visibly directed toward something above him. The vlogger notices what the man is looking at and physically follows his gaze. The camera then TILTS UP from the man’s position toward the brick facade directly above the café awning, naturally following the man’s line of sight. The movement must clearly communicate: MAN LOOKS UP → CAMERA FOLLOWS HIS GAZE → WINDOW ABOVE. A second-floor open window comes into view, with a fire escape beside it. The dog >> is sitting in that window with its eyes closed, chin lifted, peacefully soaking up the warm golden sunlight hitting the facade. IMPORTANT: >> is ONLY the DOG. The dog is inside the upper window. It is NOT the vlogger and NOT a human character. The camera performs a QUICK DIGITAL ZOOM toward the dog. The image becomes slightly softer and shakier from the digital zoom. Hold only long enough to clearly reveal the dog enjoying the sunlight. The vlogger reacts behind the camera: “Awww, look at him…” 0:17–0:21 — REAR CAMERA / RETURN TO STREET LEVEL: WITHOUT CUTTING, the camera tilts back DOWN from the dog and window to street level, returning to the same sidewalk. The camera then swings FORWARD toward a few steps ahead on the same sidewalk, where the man from >> is standing. IMPORTANT: >> is a SEPARATE STREET CHARACTER. He is NOT the vlogger. He does NOT hold the camera. He does NOT interact physically with the vlogger. The vlogger is only observing him from behind the camera while walking past. The man wears the black leather jacket and black pants shown in the reference. He is standing on the sidewalk making an exaggerated “thinking / knowledge” gesture with his index finger touching or pointing toward his temple, matching the reference pose. He is NOT standing together with the vlogger. Maintain visible physical distance between the vlogger and this man. The vlogger walks past him while keeping the rear camera briefly trained on him and half-laughs: “What is going on?” 0:21–0:24 — REAR CAMERA / WHIP LEFT ACROSS THE ROAD: WITHOUT CUTTING, the vlogger whips the rear camera to the LEFT, across the two-lane road, toward a sedan parked at the opposite curb. Shaky digital zoom toward the driver’s window. A man >> sits behind the wheel, one hand draped over the top of the steering wheel. He stares directly into the rear-camera lens with a heavy, unblinking, suspicious expression. His eyes slowly track the vlogger as the vlogger walks past. The vlogger says flatly from behind the camera: “…What is his problem?” 0:24–0:30 — REAR CAMERA → FRONT CAMERA → REAR CAMERA: WITHOUT CUTTING, the camera swings back FORWARD toward the corner of the block. Ahead, a child >> is sitting sideways near the roadside, holding a coffee cup and looking toward the camera. The child is a completely separate background character and is NOT the vlogger. The vlogger continues WALKING TOWARD the child. As he gets closer, he performs a QUICK DIGITAL ZOOM. The child looks toward the camera, casually raises the coffee cup and takes a small SIP while looking at the camera. Keep the child as the only visual focus. Natural spontaneous behavior. Immediately after the child's sip, the vlogger physically FLIPS the phone from rear camera to FRONT CAMERA. This is a real camera flip, not a cinematic cut. The phone itself remains invisible. Says: “I can’t believe this”. The take ends naturally mid-walk, still handheld, still continuous, with NO CUT and NO EDIT.
0:30

You finally get to see the scene that was never supposed to exist. 👀 Made with Pollo AI 365 days of unlimited MiniMax H3. No extra credits, no limits just create. Prompt: Vertical 9:16 smartphone vlog, shot on iPhone 17 Pro. ONE SINGLE UNINTERRUPTED HANDHELD TAKE, ~30 seconds, no cuts, no editing — every transition happens only through the vlogger panning, tilting, zooming or walking. Brisk, snappy pacing: quick whip pans, each beat lands in a few seconds, the camera never lingers. Sunny daytime New York City street >> — brick facades, fire escapes, a sidewalk café, parked cars. The filming style is the core of the video: natural hand micro-shake and walking bounce, slightly floaty digital stabilization, deep focus with everything sharp — no cinematic bokeh, no film look, no color grading. Natural HDR daylight, sky highlights slightly clipped, auto exposure and white balance visibly re-adjusting on every pan between shade and sun, quick autofocus hunting on fast pans, digital zoom bringing a slight quality drop and extra shake. Audio: raw street ambience only — traffic, distant horns, footsteps, chatter, wind brushing the mic, plus the live sounds written into the scenes. No music track, no captions, no watermark. IMPORTANT CHARACTER AND POV LOCK: The vlogger is ALWAYS >>. The vlogger is a man, and he remains the same person throughout the entire video. He is the person physically holding and operating the single camera. He is NEVER replaced by any other reference character. Reference images used in individual scenes describe ONLY the people or animals appearing in that specific scene, unless explicitly stated otherwise. The vlogger’s phone IS the camera — it never appears on screen, and he never holds a second phone or any other device. When the front camera is active, the viewer sees the vlogger himself in selfie view. When the rear camera is active, the viewer sees ONLY the environment and subjects in front of him from his physical walking POV. The phone itself is NEVER visible. This is a continuous real-world camera transition, not a cut. 0:00–0:05 — FRONT CAMERA / SELFIE POV: The vlogger >> films himself at arm’s length while walking down the sidewalk. His face is a touch overexposed by daylight. He starts excitedly: “Guys! I just—” Behind his shoulder, a couple walking the opposite way passes right beside him. A beat later, the guy >> stops and turns back, head over his shoulder, staring straight at the vlogger — matching the reference pose. His girlfriend >>, still gripping his hand, glares at him in outraged disbelief, mouth open. They hold the exact reference tableau. His stare reads odd and unreadable, NOT flirty. The vlogger sees them in his own selfie frame, cuts himself off mid-word and reacts instantly without breaking stride: “…What was that?” He keeps walking. 0:05–0:09 — FLIP TO REAR CAMERA / VLOGGER’S PHYSICAL POV: WITHOUT CUTTING, the vlogger physically flips the phone from front camera to rear camera. The camera itself is never visible. The image transitions naturally from selfie view into the rear-camera view of exactly what is in front of him. He immediately WHIPS the rear camera to the RIGHT toward a sidewalk café. By the entrance, a guy >> stands at a microphone on a stand, with a small speaker beside him looping a soft instrumental backing. He leans toward the microphone, takes a breath to sing the first line — and suddenly bursts out laughing instead, turning away and covering his mouth. He waves it off, then resets toward the microphone. The vlogger laughs quietly behind the camera. 0:09–0:13 — REAR CAMERA / CONTINUOUS POV: WITHOUT CUTTING, the vlogger continues physically panning RIGHT along the same café terrace. At one table, a woman >> is mid-meltdown — crying, shouting, jabbing an accusing finger across the terrace — while her friend >> leans in and holds her back. The camera then makes a QUICK PUNCH-IN DIGITAL ZOOM toward the opposite table. The cat >> sits upright behind a plate of salad, perfectly calm and completely unimpressed by the chaos. Autofocus hunts for a split second during the zoom. The vlogger continues walking. 0:13–0:17 — REAR CAMERA / FIRST SHOW THE MAN, THEN FOLLOW HIS GAZE UP: WITHOUT CUTTING, the camera moves slightly farther along the sidewalk and FIRST frames the man >> standing on the street near the building. IMPORTANT: The man >> is NOT the vlogger. He is a separate person standing in the environment. He is NOT holding the camera, NOT filming himself, and NEVER becomes the POV character. The camera clearly shows his full upper body as he stands below the building, looking UP toward the second floor. His head is tilted upward and his eyes are visibly directed toward something above him. The vlogger notices what the man is looking at and physically follows his gaze. The camera then TILTS UP from the man’s position toward the brick facade directly above the café awning, naturally following the man’s line of sight. The movement must clearly communicate: MAN LOOKS UP → CAMERA FOLLOWS HIS GAZE → WINDOW ABOVE. A second-floor open window comes into view, with a fire escape beside it. The dog >> is sitting in that window with its eyes closed, chin lifted, peacefully soaking up the warm golden sunlight hitting the facade. IMPORTANT: >> is ONLY the DOG. The dog is inside the upper window. It is NOT the vlogger and NOT a human character. The camera performs a QUICK DIGITAL ZOOM toward the dog. The image becomes slightly softer and shakier from the digital zoom. Hold only long enough to clearly reveal the dog enjoying the sunlight. The vlogger reacts behind the camera: “Awww, look at him…” 0:17–0:21 — REAR CAMERA / RETURN TO STREET LEVEL: WITHOUT CUTTING, the camera tilts back DOWN from the dog and window to street level, returning to the same sidewalk. The camera then swings FORWARD toward a few steps ahead on the same sidewalk, where the man from >> is standing. IMPORTANT: >> is a SEPARATE STREET CHARACTER. He is NOT the vlogger. He does NOT hold the camera. He does NOT interact physically with the vlogger. The vlogger is only observing him from behind the camera while walking past. The man wears the black leather jacket and black pants shown in the reference. He is standing on the sidewalk making an exaggerated “thinking / knowledge” gesture with his index finger touching or pointing toward his temple, matching the reference pose. He is NOT standing together with the vlogger. Maintain visible physical distance between the vlogger and this man. The vlogger walks past him while keeping the rear camera briefly trained on him and half-laughs: “What is going on?” 0:21–0:24 — REAR CAMERA / WHIP LEFT ACROSS THE ROAD: WITHOUT CUTTING, the vlogger whips the rear camera to the LEFT, across the two-lane road, toward a sedan parked at the opposite curb. Shaky digital zoom toward the driver’s window. A man >> sits behind the wheel, one hand draped over the top of the steering wheel. He stares directly into the rear-camera lens with a heavy, unblinking, suspicious expression. His eyes slowly track the vlogger as the vlogger walks past. The vlogger says flatly from behind the camera: “…What is his problem?” 0:24–0:30 — REAR CAMERA → FRONT CAMERA → REAR CAMERA: WITHOUT CUTTING, the camera swings back FORWARD toward the corner of the block. Ahead, a child >> is sitting sideways near the roadside, holding a coffee cup and looking toward the camera. The child is a completely separate background character and is NOT the vlogger. The vlogger continues WALKING TOWARD the child. As he gets closer, he performs a QUICK DIGITAL ZOOM. The child looks toward the camera, casually raises the coffee cup and takes a small SIP while looking at the camera. Keep the child as the only visual focus. Natural spontaneous behavior. Immediately after the child's sip, the vlogger physically FLIPS the phone from rear camera to FRONT CAMERA. This is a real camera flip, not a cinematic cut. The phone itself remains invisible. Says: “I can’t believe this”. The take ends naturally mid-walk, still handheld, still continuous, with NO CUT and NO EDIT.

Kashberg

17,892 Aufrufe • vor 29 Tagen

Prompt: NT. DAYTIME TALK SHOW SET – AFTERNOON Soft studio lighting glows across a warm-toned set. The audience murmurs faintly as the camera pans to reveal three guests seated on a couch — a middle-aged couple and the show’s host sitting across from them. The host leans forward, voice steady but probing: Host: “When did you first notice that your daughter, Missy, started to spiral?” The woman’s face crumples; she takes a shaky breath and begins to cry. Her husband places a comforting hand on her shoulder, looking down before turning back toward the host. Father (quietly, with guilt): “We… we don’t know what we did wrong.” The studio falls silent for a moment. The camera cuts to the host, who looks gravely into the lens. Host (to camera): “Let’s take a look at a short piece our team prepared — chronicling Missy’s downward path.” The lights dim slightly as the camera pushes in on the mother’s tear-streaked face. The studio monitors flicker to life, beginning to play the segment as the audience holds its breath.
0:20

Prompt: NT. DAYTIME TALK SHOW SET – AFTERNOON Soft studio lighting glows across a warm-toned set. The audience murmurs faintly as the camera pans to reveal three guests seated on a couch — a middle-aged couple and the show’s host sitting across from them. The host leans forward, voice steady but probing: Host: “When did you first notice that your daughter, Missy, started to spiral?” The woman’s face crumples; she takes a shaky breath and begins to cry. Her husband places a comforting hand on her shoulder, looking down before turning back toward the host. Father (quietly, with guilt): “We… we don’t know what we did wrong.” The studio falls silent for a moment. The camera cuts to the host, who looks gravely into the lens. Host (to camera): “Let’s take a look at a short piece our team prepared — chronicling Missy’s downward path.” The lights dim slightly as the camera pushes in on the mother’s tear-streaked face. The studio monitors flicker to life, beginning to play the segment as the audience holds its breath.

LTX

10,912 Aufrufe • vor 11 Monaten

I still can't believe this works! Every filmmaker needs to try the hybrid AI filmmaking + Blender previs workflow for precise camera control. AI dialogue is still flat but I'm going to dive into solving that next. My workflow: 1. Generate a start frame in Midjourney 2. Block out the scene in Blender, animate the camera 3. Feed both to Seedance So much of cinematic storytelling is composition, timing, and giving the viewer a spatial understanding of the scene. You can solve all of that before you ever touch the video model.
0:36

I still can't believe this works! Every filmmaker needs to try the hybrid AI filmmaking + Blender previs workflow for precise camera control. AI dialogue is still flat but I'm going to dive into solving that next. My workflow: 1. Generate a start frame in Midjourney 2. Block out the scene in Blender, animate the camera 3. Feed both to Seedance So much of cinematic storytelling is composition, timing, and giving the viewer a spatial understanding of the scene. You can solve all of that before you ever touch the video model.

Reid Hannaford

17,692 Aufrufe • vor 3 Monaten

AI video can look good and still feel fake. One of the biggest reasons? Camera movement. A camera does not just move from A to B. It has weight, it has momentum. A person is holding it, a gimbal operator is walking, a dolly slows down before it stops, a handheld camera reacts to the person carrying it and much more. Those tiny details are what makes AI video feel more like something that was actually filmed. So I put together my Cinematic Camera Movement Library with 40+ camera movement and realism blocks you can use in your AI video prompts. If you create AI videos, save this video. You will forget the names eventually. Want the full prompt library? Comment “PROMPT” and I will send it to you.
0:59

AI video can look good and still feel fake. One of the biggest reasons? Camera movement. A camera does not just move from A to B. It has weight, it has momentum. A person is holding it, a gimbal operator is walking, a dolly slows down before it stops, a handheld camera reacts to the person carrying it and much more. Those tiny details are what makes AI video feel more like something that was actually filmed. So I put together my Cinematic Camera Movement Library with 40+ camera movement and realism blocks you can use in your AI video prompts. If you create AI videos, save this video. You will forget the names eventually. Want the full prompt library? Comment “PROMPT” and I will send it to you.

Digital Dame

79,211 Aufrufe • vor 1 Monat

Astra’s spatial understanding is mindblowing to watch. three uncalibrated cameras. no intrinsics, no extrinsics. it nudged the robot arm, learned how each camera sees motion, worked out the brush tip’s 3d offset, and verified it at new angles -- all from one prompt and a tiny follow up. final result was under 0.2 mm of camera-measured tip movement!
1:12

Astra’s spatial understanding is mindblowing to watch. three uncalibrated cameras. no intrinsics, no extrinsics. it nudged the robot arm, learned how each camera sees motion, worked out the brush tip’s 3d offset, and verified it at new angles -- all from one prompt and a tiny follow up. final result was under 0.2 mm of camera-measured tip movement!

nil

20,435 Aufrufe • vor 25 Tagen

In Taxi Driver, for Scorsese most important shot is when Travis on the phone trying to get a date with Betsy. Camera moves to side slowly, pans down empty hallway, as if to say that conversation is too painful; isolation and loneliness is on the air.
1:37

In Taxi Driver, for Scorsese most important shot is when Travis on the phone trying to get a date with Betsy. Camera moves to side slowly, pans down empty hallway, as if to say that conversation is too painful; isolation and loneliness is on the air.

Scorsese Universe

14,206 Aufrufe • vor 2 Monaten

#NancyGuthrie #BringNancyHome #NancyGuthrieMissing #NancyGuthrieInvestigation #FindNancyGuthrie 🟥 Tuned into . today! DropDeadSeriousPodcast 💥 THAT CRIME SCENE….. 👀❓ An investigator in the case has described Nancy Guthries home & the scene & said “But for the blood pattern droplets at the front door outside and down the walkway, and this man appearing on camera and the camera being taken, nothing else inside the home appears a crime happened”. “It’s as though (but for those things) it’s as though Mrs Guthrie got up in the middle of the night out of bed & walked out of her house and disappeared…..” 🎥 MORE HERE; 👈🏼 👈🏼👈🏼👈🏼
4:07

#NancyGuthrie #BringNancyHome #NancyGuthrieMissing #NancyGuthrieInvestigation #FindNancyGuthrie 🟥 Tuned into . today! DropDeadSeriousPodcast 💥 THAT CRIME SCENE….. 👀❓ An investigator in the case has described Nancy Guthries home & the scene & said “But for the blood pattern droplets at the front door outside and down the walkway, and this man appearing on camera and the camera being taken, nothing else inside the home appears a crime happened”. “It’s as though (but for those things) it’s as though Mrs Guthrie got up in the middle of the night out of bed & walked out of her house and disappeared…..” 🎥 MORE HERE; 👈🏼 👈🏼👈🏼👈🏼

Adriienne F

24,385 Aufrufe • vor 6 Monaten