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Creating professional content just got easier. Kling 3.0 Motion Control had fully rolled out. It locks in facial identity consistency across angles, lighting shifts, and complex scene transitions. Even with occluded faces or fast camera movement, expressions remain stable and natural.

Miguel Ángel | Educador en IA

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107,274 просмотров • 7 месяцев назад •via X (Twitter)

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Breaking: AI video enters a new era with Kling 3.0 & Kling 3.0 Motion Control. Kling 3.0 and Kling 3.0 Motion Control feature have fully rolled out globally! With native 1080p and production-level reliability, Kling 3.0 is purpose-built for brand content and professional visual creation.

AI Frontliner

52,645 просмотров • 7 месяцев назад

Kling AI 3.0 is here And it’s a serious step forward for AI video. This update isn’t about small tweaks. It’s about refinement, realism, and making AI video feel ready for real-world use. What stands out with Kling 3.0? Stronger visual quality. Movements feel smoother. Lighting looks more natural. Scenes feel intentional instead of generated. Better prompt understanding. You can describe complex scenes, moods, or camera directions, and Kling 3.0 interprets them with much more accuracy. Less trial and error. More usable results. Improved motion and consistency. Characters stay consistent. Objects behave logically. Shots flow more naturally from start to finish. Greater creative control. From product-style visuals to cinematic storytelling, Kling 3.0 gives creators the flexibility to move beyond simple clips and into structured, high-quality sequences. The difference is subtle until you see it, and then it’s obvious. AI video is evolving quickly, and Kling AI 3.0 shows how far the technology has come. It’s not just about generating video anymore. It’s about generating video that’s usable, polished, and ready for campaigns, storytelling, and branded content. If you’re building with AI, this is one of the tools worth paying attention to, best AI video model for pro & commercial production

Kling AI 3.0 is here And it’s a serious step forward for AI video. This update isn’t about small tweaks. It’s about refinement, realism, and making AI video feel ready for real-world use. What stands out with Kling 3.0? Stronger visual quality. Movements feel smoother. Lighting looks more natural. Scenes feel intentional instead of generated. Better prompt understanding. You can describe complex scenes, moods, or camera directions, and Kling 3.0 interprets them with much more accuracy. Less trial and error. More usable results. Improved motion and consistency. Characters stay consistent. Objects behave logically. Shots flow more naturally from start to finish. Greater creative control. From product-style visuals to cinematic storytelling, Kling 3.0 gives creators the flexibility to move beyond simple clips and into structured, high-quality sequences. The difference is subtle until you see it, and then it’s obvious. AI video is evolving quickly, and Kling AI 3.0 shows how far the technology has come. It’s not just about generating video anymore. It’s about generating video that’s usable, polished, and ready for campaigns, storytelling, and branded content. If you’re building with AI, this is one of the tools worth paying attention to, best AI video model for pro & commercial production

Future Stacked

183,095 просмотров • 7 месяцев назад

Turning ocean motion into visual storytelling , Every frame feels alive ❣️ Generated with GPT Image 2 + Seedance 2.0 on BudgetPixel AI Prompt : A highly realistic cinematic luxury lifestyle scene filmed like a professional Hollywood commercial. Opening shot: captured with a stabilized drone camera during golden hour over a calm deep-blue ocean. A beautiful young woman in her mid-20s naturally drives a modern white speedboat at medium-fast speed. Her hair flows realistically in the wind, sunlight softly reflects on her skin, and the water movement looks physically accurate with natural splashes and detailed wake trails behind the boat. Camera transitions smoothly between professional cinematic angles: — wide aerial drone tracking shot — side profile tracking shot close to the water — realistic handheld close-up of her adjusting the steering wheel — slow-motion splash shots with authentic lighting reflections — cinematic close-up of her relaxed confident expression wearing elegant sunglasses The boat movement feels realistic with proper wave interaction and balanced motion physics. Natural wind simulation, true-to-life ocean textures, realistic shadows, premium color grading, subtle lens flare, shallow depth of field, documentary-style realism mixed with luxury commercial aesthetics. Final shot: drone slowly pulls away as the speedboat moves toward the glowing sunset horizon, creating a premium emotional ending. Style: ultra photorealistic, professionally filmed, cinematic lighting, realistic camera motion, authentic human movement, luxury travel commercial, 4K HDR, smooth transitions, no CGI look, no artificial facial distortions, natural body proportions, highly detailed water simulation...

Ai Girllie

17,378 просмотров • 4 месяцев назад

Made with AI, but designed to feel completely real. From the natural airport lighting and handheld documentary-style camera movement to the subtle facial expressions and emotional goodbye — the goal was to create a moment that feels like it was captured in real life. No fantasy. No exaggerated acting. Just two friends, one goodbye, and a little help from AI. ❤️

Made with AI, but designed to feel completely real. From the natural airport lighting and handheld documentary-style camera movement to the subtle facial expressions and emotional goodbye — the goal was to create a moment that feels like it was captured in real life. No fantasy. No exaggerated acting. Just two friends, one goodbye, and a little help from AI. ❤️

Hannah Ai

20,969 просмотров • 1 месяц назад

Made with kling 3.0 on Higgsfield AI 🧩 Video Prompt : Use the uploaded reference image as the exact identity reference for the subject. Create a hyper-realistic live IPL television broadcast crowd-shot sequence during a high-energy playoff cricket match in a packed Indian stadium. The subject from the reference image must remain fully consistent throughout: same face, same hairstyle, same outfit, same skin tone, same lighting, same seating position, and same crowd environment. Preserve identity accuracy strongly across the entire sequence. The video should feel exactly like a genuine Star Sports IPL crowd cutaway captured during a real live match — NOT cinematic, NOT influencer-style, NOT vlog-style. Show realistic live broadcast camera behavior: quick crowd cutaways, natural stadium lighting, authentic TV zoom lens movement, slight camera shake, realistic audience reactions, energetic IPL atmosphere, LED advertisement boards, match scoreboard overlays, cheering fans around the subject. The subject should react naturally to the match: smiling, clapping, looking tense during close moments, celebrating boundaries/wickets, and occasionally looking toward the field. Maintain realistic Indian stadium ambience with thousands of spectators, team jerseys, flags, chants, floodlights, and authentic IPL playoff energy. Ultra realistic skin texture, natural motion, realistic hair movement, accurate facial consistency, broadcast-quality detail, shallow depth of field, true live sports telecast aesthetic, 4K realism, highly detailed crowd environment. Prompt: cinematic lighting, music-video style, slow motion, overacting, beauty filter, influencer aesthetic, vlog framing, AI face distortion, cartoon look, unrealistic expressions, fantasy colors, excessive blur, duplicate faces, identity drift, studio lighting, posed acting, fake crowd.

Made with kling 3.0 on Higgsfield AI 🧩 Video Prompt : Use the uploaded reference image as the exact identity reference for the subject. Create a hyper-realistic live IPL television broadcast crowd-shot sequence during a high-energy playoff cricket match in a packed Indian stadium. The subject from the reference image must remain fully consistent throughout: same face, same hairstyle, same outfit, same skin tone, same lighting, same seating position, and same crowd environment. Preserve identity accuracy strongly across the entire sequence. The video should feel exactly like a genuine Star Sports IPL crowd cutaway captured during a real live match — NOT cinematic, NOT influencer-style, NOT vlog-style. Show realistic live broadcast camera behavior: quick crowd cutaways, natural stadium lighting, authentic TV zoom lens movement, slight camera shake, realistic audience reactions, energetic IPL atmosphere, LED advertisement boards, match scoreboard overlays, cheering fans around the subject. The subject should react naturally to the match: smiling, clapping, looking tense during close moments, celebrating boundaries/wickets, and occasionally looking toward the field. Maintain realistic Indian stadium ambience with thousands of spectators, team jerseys, flags, chants, floodlights, and authentic IPL playoff energy. Ultra realistic skin texture, natural motion, realistic hair movement, accurate facial consistency, broadcast-quality detail, shallow depth of field, true live sports telecast aesthetic, 4K realism, highly detailed crowd environment. Prompt: cinematic lighting, music-video style, slow motion, overacting, beauty filter, influencer aesthetic, vlog framing, AI face distortion, cartoon look, unrealistic expressions, fantasy colors, excessive blur, duplicate faces, identity drift, studio lighting, posed acting, fake crowd.

Shahid Wani

139,457 просмотров • 4 месяцев назад

Tried Higgsfield's motion control feature today and genuinely impressed. All I did was select a reference video and give it my own character sheet, and the output followed the reference motion almost perfectly, just with my character in it. Makes replicating a specific camera move or movement so much easier without having to prompt it from scratch. Worth trying if you haven't yet. Higgsfield AI 🧩

Tried Higgsfield's motion control feature today and genuinely impressed. All I did was select a reference video and give it my own character sheet, and the output followed the reference motion almost perfectly, just with my character in it. Makes replicating a specific camera move or movement so much easier without having to prompt it from scratch. Worth trying if you haven't yet. Higgsfield AI 🧩

Shara

25,407 просмотров • 1 месяц назад

Alarm. Breakfast. Out the door. Just another morning chasing bigger goals. Made with Seedance 2.0 Prompt: Ultra-realistic cinematic morning routine of a young professional waking up late after the alarm rings. He quickly gets out of bed, washes his face, brushes his teeth, prepares a simple breakfast with coffee and toast, eats in a hurry, grabs his backpack and keys, rushes out of the apartment, locks the door, and heads to work. Natural morning sunlight streams through the windows, cozy modern apartment, realistic body movements, subtle facial expressions, smooth camera transitions, handheld and tracking shots, shallow depth of field, soft warm color grading, realistic motion blur, highly detailed textures, premium commercial look, 4K HDR, cinematic lighting, dynamic pacing, documentary-style realism, no text, no logos.

Alarm. Breakfast. Out the door. Just another morning chasing bigger goals. Made with Seedance 2.0 Prompt: Ultra-realistic cinematic morning routine of a young professional waking up late after the alarm rings. He quickly gets out of bed, washes his face, brushes his teeth, prepares a simple breakfast with coffee and toast, eats in a hurry, grabs his backpack and keys, rushes out of the apartment, locks the door, and heads to work. Natural morning sunlight streams through the windows, cozy modern apartment, realistic body movements, subtle facial expressions, smooth camera transitions, handheld and tracking shots, shallow depth of field, soft warm color grading, realistic motion blur, highly detailed textures, premium commercial look, 4K HDR, cinematic lighting, dynamic pacing, documentary-style realism, no text, no logos.

Calira

15,271 просмотров • 3 месяцев назад

A beautiful moment with a cinematic twist. The calm Korean-girl aesthetic meets unexpected action, creating a scene that feels straight out of a K-drama movie. Created on seedance 2.5 Prompt: A beautiful Korean girl walking calmly through a realistic modern school hallway, wearing a soft cream-colored turtleneck sweater and elegant pleated skirt, with her brown hair tied in a neat bun and natural bangs framing her face. The hallway is filled with cinematic depth, warm indoor lighting, lockers, classroom doors, and subtle background activity. As she walks forward, several mysterious masked figures move around her in slow motion, creating a surprising action-movie atmosphere while she remains calm and focused. Papers, small objects, and a few flying elements move naturally through the air around her, adding dynamic motion to the scene. The camera smoothly tracks backward in front of her, gradually moving from a medium shot into a close-up while maintaining strong facial consistency and realistic expressions. Her hair and clothing respond naturally to the movement and airflow, with realistic physics and detailed textures. Use cinematic Korean drama aesthetics, photorealistic skin, soft warm color grading, shallow depth of field, natural shadows, smooth camera movement, and high-detail realistic cinematography. Keep the character’s face, hairstyle, outfit, and identity consistent throughout the entire 15-second video, with no distortion, flickering, extra fingers, unwanted text, or watermark.

A beautiful moment with a cinematic twist. The calm Korean-girl aesthetic meets unexpected action, creating a scene that feels straight out of a K-drama movie. Created on seedance 2.5 Prompt: A beautiful Korean girl walking calmly through a realistic modern school hallway, wearing a soft cream-colored turtleneck sweater and elegant pleated skirt, with her brown hair tied in a neat bun and natural bangs framing her face. The hallway is filled with cinematic depth, warm indoor lighting, lockers, classroom doors, and subtle background activity. As she walks forward, several mysterious masked figures move around her in slow motion, creating a surprising action-movie atmosphere while she remains calm and focused. Papers, small objects, and a few flying elements move naturally through the air around her, adding dynamic motion to the scene. The camera smoothly tracks backward in front of her, gradually moving from a medium shot into a close-up while maintaining strong facial consistency and realistic expressions. Her hair and clothing respond naturally to the movement and airflow, with realistic physics and detailed textures. Use cinematic Korean drama aesthetics, photorealistic skin, soft warm color grading, shallow depth of field, natural shadows, smooth camera movement, and high-detail realistic cinematography. Keep the character’s face, hairstyle, outfit, and identity consistent throughout the entire 15-second video, with no distortion, flickering, extra fingers, unwanted text, or watermark.

Ayat

12,514 просмотров • 18 дней назад

With Akool’s Image-to-Video and Character Swap features, your static visuals don’t just sit there: they move, transform, and tell stories. Bring a single image to life with natural motion and dynamic scenes Instantly swap characters while keeping expressions and realism intact Create engaging, scroll-stopping video content in minutes Whether you're building marketing campaigns, social content, or creative storytelling pieces, Akool makes high-quality AI video creation faster and easier than ever. Your imagination sets the scene, we power the motion.

With Akool’s Image-to-Video and Character Swap features, your static visuals don’t just sit there: they move, transform, and tell stories. Bring a single image to life with natural motion and dynamic scenes Instantly swap characters while keeping expressions and realism intact Create engaging, scroll-stopping video content in minutes Whether you're building marketing campaigns, social content, or creative storytelling pieces, Akool makes high-quality AI video creation faster and easier than ever. Your imagination sets the scene, we power the motion.

Akool Inc

58,186 просмотров • 8 месяцев назад

Turn Tom and Jerry in 4K reality using Seedance 2.0 on Pollo AI Prompt: Use the uploaded reference video as the master reference. Recreate the entire scene in ultra-photorealistic live action while preserving the original video frame-by-frame. Maintain the EXACT camera movement, lens, framing, composition, timing, pacing, shot transitions, lighting direction, environment, props, object placement, character blocking, and every action from the reference video. ONLY replace the cartoon characters with realistic live-action animals while keeping everything else unchanged. ======================== CHARACTER CONSISTENCY ======================== Tom is a realistic British Shorthair cat with: • blue-gray plush fur • white chest, muzzle and paws • large amber eyes • pink nose • rounded face • thick tail • expressive eyebrows • identical appearance in every frame • identical fur pattern, facial proportions, eye color and body size throughout the video Jerry is a realistic golden Syrian hamster with: • soft golden-brown fur • cream belly • large rounded ears • black shiny eyes • tiny pink paws • small pink nose • realistic whiskers • consistent body proportions in every frame • identical appearance throughout the entire video If other Tom & Jerry characters appear, replace them with realistic animals that preserve their personality, colors, proportions and expressions while remaining identical throughout the clip. ======================== MOTION ======================== Preserve every movement exactly. The realistic animals must perform the exact same actions, walking cycle, head movement, eye movement, paw placement, facial expressions, timing and interactions as in the reference animation. No new actions. No altered timing. No changed poses. ======================== ENVIRONMENT ======================== Keep the original environment exactly the same. Do not modify: • furniture • decorations • room layout • colors • props • shadows • reflections • camera angle • camera path Everything except the characters must remain unchanged. ======================== QUALITY ======================== Hollywood-quality CGI. Photorealistic animals. Natural muscle movement. Physically accurate fur simulation. Realistic whiskers. Subsurface scattering. Realistic eye reflections. Natural breathing. Micro facial expressions. Ultra detailed textures. Soft cinematic lighting. Shallow depth of field. Global illumination. Ray-traced reflections. Macro photography realism. 4K HDR. Disney-level VFX quality. Live-action realism. Extremely stable temporal consistency. Perfect character identity consistency across all frames. Do not redesign the characters. Do not change the environment. Do not change the camera. Do not change the timing. Do not add new objects. Do not crop or zoom differently. No flickering. No morphing. No identity drift. No fur color changes. No eye color changes. No size changes. No anatomy deformation. No extra limbs. No duplicate animals. No cartoon textures. No low-quality CGI. No inconsistent lighting. No frame-to-frame variation. Maintain perfect temporal consistency and character consistency throughout the entire video.

Turn Tom and Jerry in 4K reality using Seedance 2.0 on Pollo AI Prompt: Use the uploaded reference video as the master reference. Recreate the entire scene in ultra-photorealistic live action while preserving the original video frame-by-frame. Maintain the EXACT camera movement, lens, framing, composition, timing, pacing, shot transitions, lighting direction, environment, props, object placement, character blocking, and every action from the reference video. ONLY replace the cartoon characters with realistic live-action animals while keeping everything else unchanged. ======================== CHARACTER CONSISTENCY ======================== Tom is a realistic British Shorthair cat with: • blue-gray plush fur • white chest, muzzle and paws • large amber eyes • pink nose • rounded face • thick tail • expressive eyebrows • identical appearance in every frame • identical fur pattern, facial proportions, eye color and body size throughout the video Jerry is a realistic golden Syrian hamster with: • soft golden-brown fur • cream belly • large rounded ears • black shiny eyes • tiny pink paws • small pink nose • realistic whiskers • consistent body proportions in every frame • identical appearance throughout the entire video If other Tom & Jerry characters appear, replace them with realistic animals that preserve their personality, colors, proportions and expressions while remaining identical throughout the clip. ======================== MOTION ======================== Preserve every movement exactly. The realistic animals must perform the exact same actions, walking cycle, head movement, eye movement, paw placement, facial expressions, timing and interactions as in the reference animation. No new actions. No altered timing. No changed poses. ======================== ENVIRONMENT ======================== Keep the original environment exactly the same. Do not modify: • furniture • decorations • room layout • colors • props • shadows • reflections • camera angle • camera path Everything except the characters must remain unchanged. ======================== QUALITY ======================== Hollywood-quality CGI. Photorealistic animals. Natural muscle movement. Physically accurate fur simulation. Realistic whiskers. Subsurface scattering. Realistic eye reflections. Natural breathing. Micro facial expressions. Ultra detailed textures. Soft cinematic lighting. Shallow depth of field. Global illumination. Ray-traced reflections. Macro photography realism. 4K HDR. Disney-level VFX quality. Live-action realism. Extremely stable temporal consistency. Perfect character identity consistency across all frames. Do not redesign the characters. Do not change the environment. Do not change the camera. Do not change the timing. Do not add new objects. Do not crop or zoom differently. No flickering. No morphing. No identity drift. No fur color changes. No eye color changes. No size changes. No anatomy deformation. No extra limbs. No duplicate animals. No cartoon textures. No low-quality CGI. No inconsistent lighting. No frame-to-frame variation. Maintain perfect temporal consistency and character consistency throughout the entire video.

Oogie

61,228 просмотров • 3 месяцев назад

currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

currently experimenting with WAN 2.6 I2V on GMI Cloud in this test, I’m comparing two audio workflows and honestly both perform really well. one scene uses audio generated directly from the prompt, while the other uses manually uploaded audio taken from the film 300. visually, both deliver strong motion and solid performance. however, the version with audio coming straight from the prompt feels slightly more refined, camera movement is smoother, transitions flow more naturally and the sync between voice, facial motion, and pacing feels more cohesive. lip sync, especially for Chinese dialogue also comes across a bit cleaner. you can choose single shot for a clean, focused moment or multi shot if you want more cinematic transitions, even when working from just one reference image. one important note: always turn on prompt extension. it makes a noticeable difference in how well the model understands motion, transitions and overall scene flow. both audio approaches are totally usable, but if you’re building dialogue driven or cinematic scenes, starting with audio from the prompt gives WAN 2.6 a bit more context to work with. I’ll be pushing this further with more dynamic camera movement and transitions next. more experiments coming soon ✨ Wan

DStudioproject

97,086 просмотров • 10 месяцев назад

Kling 3.0 for AI UGC videos is absolutely insane 🤯 I spent 25,000+ credits in Kling perfecting the ultimate prompting framework to get the best AI UGC outputs possible. And the 3.0 update just made everything even better. Perfect for DTC brands and agencies who want high-quality AI UGC without paying $500/video for actual UGC. Here's what Kling 3.0 unlocks for AI UGCL → "AI Director" system that understands full scripts and auto-schedules camera angles (shot/reverse shot) in one generation → 3 to 15 second cinematic clips with full temporal coherence → Improved character and element locking so your subject stays consistent across shots and angles → Native 4K output for both video and stills — actually usable for professional ad creative And best of all: perfect character consistency ACROSS different shots. What this means for AI UGC: - Multi-shot storytelling in a single generation cycle - Longer clips that actually hold together - Consistent characters across your entire ad - Output quality that's ready for paid media This is the closest AI video has gotten to replacing a real shoot for performance creative. I recorded a full breakdown of the prompting framework I built after burning through 25,000 credits. Want access to all the prompts I use to create AI UGC with Kling? > Like this post > Comment "KLING" And I'll send it over (must be following so I can DM)

Kling 3.0 for AI UGC videos is absolutely insane 🤯 I spent 25,000+ credits in Kling perfecting the ultimate prompting framework to get the best AI UGC outputs possible. And the 3.0 update just made everything even better. Perfect for DTC brands and agencies who want high-quality AI UGC without paying $500/video for actual UGC. Here's what Kling 3.0 unlocks for AI UGCL → "AI Director" system that understands full scripts and auto-schedules camera angles (shot/reverse shot) in one generation → 3 to 15 second cinematic clips with full temporal coherence → Improved character and element locking so your subject stays consistent across shots and angles → Native 4K output for both video and stills — actually usable for professional ad creative And best of all: perfect character consistency ACROSS different shots. What this means for AI UGC: - Multi-shot storytelling in a single generation cycle - Longer clips that actually hold together - Consistent characters across your entire ad - Output quality that's ready for paid media This is the closest AI video has gotten to replacing a real shoot for performance creative. I recorded a full breakdown of the prompting framework I built after burning through 25,000 credits. Want access to all the prompts I use to create AI UGC with Kling? > Like this post > Comment "KLING" And I'll send it over (must be following so I can DM)

Mike Futia

25,633 просмотров • 8 месяцев назад

🎬 Motion Control has arrived! Take full control of your AI videos with 12 dynamic camera shots — from smooth Dolly moves to dramatic Cranes and VFX like Explosions and Disintegration. Perfect for adding cinematic flare, stock footage, product ads, or just experimenting with storytelling. ✨ How it works: 1️⃣ Head to the new Video creation tool 2️⃣ Enter your prompt 3️⃣ Pick your camera shot from the Motion Control panel 4️⃣ (Optional) Add a Style or inspiration image as a start frame 💡Want extra consistency? Train an Element, generate your key stills, and animate them for a fully guided scene. More features are coming soon — including End Frames 👀 So stay tuned, and let us know what you create! 🎥 Lights, camera... Motion! Try it now on the Video page 👉🏻

🎬 Motion Control has arrived! Take full control of your AI videos with 12 dynamic camera shots — from smooth Dolly moves to dramatic Cranes and VFX like Explosions and Disintegration. Perfect for adding cinematic flare, stock footage, product ads, or just experimenting with storytelling. ✨ How it works: 1️⃣ Head to the new Video creation tool 2️⃣ Enter your prompt 3️⃣ Pick your camera shot from the Motion Control panel 4️⃣ (Optional) Add a Style or inspiration image as a start frame 💡Want extra consistency? Train an Element, generate your key stills, and animate them for a fully guided scene. More features are coming soon — including End Frames 👀 So stay tuned, and let us know what you create! 🎥 Lights, camera... Motion! Try it now on the Video page 👉🏻

Leonardo.Ai

984,421 просмотров • 1 год назад

The video smooth zoom on the Samsung Galaxy S26 Ultra is still the closest thing to a professional camcorder experience in the smartphone industry today. In fact, it’s even easier to control than the iPhone. On many other phones, video zooming requires constant finger movement and very precise control. The zoom speed can easily become inconsistent, suddenly speeding up or slowing down. Samsung works differently. You simply hold your finger at a certain position, and the phone continues zooming at a constant speed. The entire process feels extremely stable and linear. It genuinely resembles the powered zoom control of a professional video camera. This logic is fundamentally related to Samsung’s AI slow motion technology. They share the same core foundation: real time control over motion trajectories, speed transitions, and frame interpolation. What you’re seeing here was shot in very windy conditions using Samsung’s Pro Video mode, continuously zooming from 5x to 25x. Aside from some slight stutter during optical lens switching points, the continuous zoom transition within digital zoom ranges is arguably the closest thing to a professional camera currently available on a smartphone. So if the future Samsung Galaxy S27 Ultra really removes the 3x telephoto camera, it could actually improve the video zoom experience further. Fewer optical switching points would theoretically reduce transition jumps and stutters, making the entire zoom range feel even more natural and continuous.

The video smooth zoom on the Samsung Galaxy S26 Ultra is still the closest thing to a professional camcorder experience in the smartphone industry today. In fact, it’s even easier to control than the iPhone. On many other phones, video zooming requires constant finger movement and very precise control. The zoom speed can easily become inconsistent, suddenly speeding up or slowing down. Samsung works differently. You simply hold your finger at a certain position, and the phone continues zooming at a constant speed. The entire process feels extremely stable and linear. It genuinely resembles the powered zoom control of a professional video camera. This logic is fundamentally related to Samsung’s AI slow motion technology. They share the same core foundation: real time control over motion trajectories, speed transitions, and frame interpolation. What you’re seeing here was shot in very windy conditions using Samsung’s Pro Video mode, continuously zooming from 5x to 25x. Aside from some slight stutter during optical lens switching points, the continuous zoom transition within digital zoom ranges is arguably the closest thing to a professional camera currently available on a smartphone. So if the future Samsung Galaxy S27 Ultra really removes the 3x telephoto camera, it could actually improve the video zoom experience further. Fewer optical switching points would theoretically reduce transition jumps and stutters, making the entire zoom range feel even more natural and continuous.

Ice Universe

27,250 просмотров • 5 месяцев назад

I wanted to see how well Kling 4.0 could handle a cinematic Wuxian action sequence, especially with all the fast movements and camera changes involved. What impressed me most was how naturally the action flowed. The character movements felt coordinated, the camera followed the action smoothly, and the overall scene had that cinematic martial arts film feeling I was going for. This is the kind of control I’ve been wanting from AI video generation. Instead of just producing beautiful frames, Kling AI 4.0 is making complex action storytelling feel much more achievable. Here’s how it turned out 👇

I wanted to see how well Kling 4.0 could handle a cinematic Wuxian action sequence, especially with all the fast movements and camera changes involved. What impressed me most was how naturally the action flowed. The character movements felt coordinated, the camera followed the action smoothly, and the overall scene had that cinematic martial arts film feeling I was going for. This is the kind of control I’ve been wanting from AI video generation. Instead of just producing beautiful frames, Kling AI 4.0 is making complex action storytelling feel much more achievable. Here’s how it turned out 👇

AI with MERLIN

52,561 просмотров • 13 дней назад

A seamless blend of precision, movement, and cinematic action. Korin brings every frame to life with intensity and style. Created with Wan 3.0 on BudgetPixel AI & BudgetPixel AIclip Prompt Create a 15-second cinematic action fight video featuring a fierce adult female warrior named Korin in a dark futuristic city alley at night. She wears a stylish black combat outfit with subtle metallic details, long flowing hair, and a confident, determined expression. 0–3 seconds: Start with a dramatic close-up of Korin’s face. Wind moves her hair as she slowly raises her eyes toward an approaching opponent. Neon lights reflect on her face, cinematic atmosphere, subtle handheld camera movement. 3–6 seconds: The opponent rushes toward Korin. She quickly dodges the first punch, spins around, and delivers a powerful kick to the opponent’s chest. Use realistic body movement, dynamic camera tracking, and natural motion blur. 6–10 seconds: Korin immediately attacks with a fast combination of punches and kicks. The opponent blocks some attacks and counterattacks. Show quick footwork, realistic impacts, believable martial-arts choreography, and dramatic camera angles. 10–13 seconds: The opponent attempts a final powerful strike. Korin ducks underneath it, grabs the opponent’s arm, performs a fast throw, and sends them crashing onto the ground. 13–15 seconds: Korin stands calmly over the defeated opponent, breathing heavily. She turns toward the camera with a confident expression while neon lights flicker behind her. End with a dramatic slow-motion shot and cinematic push-in. Style: high-budget action movie, photorealistic, cinematic lighting, realistic physics, detailed facial expressions, smooth character animation, dynamic camera movement, dramatic atmosphere, professional fight choreography, sharp details, natural motion blur, consistent character appearance throughout, no blood, no gore, no text, no watermark.

A seamless blend of precision, movement, and cinematic action. Korin brings every frame to life with intensity and style. Created with Wan 3.0 on BudgetPixel AI & BudgetPixel AIclip Prompt Create a 15-second cinematic action fight video featuring a fierce adult female warrior named Korin in a dark futuristic city alley at night. She wears a stylish black combat outfit with subtle metallic details, long flowing hair, and a confident, determined expression. 0–3 seconds: Start with a dramatic close-up of Korin’s face. Wind moves her hair as she slowly raises her eyes toward an approaching opponent. Neon lights reflect on her face, cinematic atmosphere, subtle handheld camera movement. 3–6 seconds: The opponent rushes toward Korin. She quickly dodges the first punch, spins around, and delivers a powerful kick to the opponent’s chest. Use realistic body movement, dynamic camera tracking, and natural motion blur. 6–10 seconds: Korin immediately attacks with a fast combination of punches and kicks. The opponent blocks some attacks and counterattacks. Show quick footwork, realistic impacts, believable martial-arts choreography, and dramatic camera angles. 10–13 seconds: The opponent attempts a final powerful strike. Korin ducks underneath it, grabs the opponent’s arm, performs a fast throw, and sends them crashing onto the ground. 13–15 seconds: Korin stands calmly over the defeated opponent, breathing heavily. She turns toward the camera with a confident expression while neon lights flicker behind her. End with a dramatic slow-motion shot and cinematic push-in. Style: high-budget action movie, photorealistic, cinematic lighting, realistic physics, detailed facial expressions, smooth character animation, dynamic camera movement, dramatic atmosphere, professional fight choreography, sharp details, natural motion blur, consistent character appearance throughout, no blood, no gore, no text, no watermark.

𝐍𝐚𝐯𝐞𝐞 𝐀𝐢

14,833 просмотров • 27 дней назад

Depth video workflows have been getting a lot of attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.

Depth video workflows have been getting a lot of attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.

underwood

15,968 просмотров • 2 месяцев назад

Every full moon tells a story... this one awakens its queen. Created with Seedance 2.0 on @thankyouai_hq PROMPT: A beautiful young East Asian woman with long black hair styled half-up, soft natural makeup, pearl ear cuff, layered gold necklace, wearing a white satin slip dress, stands in a luxurious modern bedroom. Warm morning sunlight streams through sheer curtains. She gently touching her hair while looking into a tall vintage mirror. Everything feels peaceful and elegant. The camera slowly dollies toward her from behind, revealing both the woman and her reflection. Ultra realistic, cinematic lighting, shallow depth of field, 4K, highly detailed skin, natural movement. Camera Slow dolly forward. Emotion Calm and relaxed. Ultra-realistic cinematic fantasy Same woman in every scene Long black hair White satin dress Pearl ear cuff and layered gold necklace remain consistent Photorealistic skin Hollywood VFX Volumetric lighting Smooth camera movement 4K/8K quality Natural facial expressions Consistent character identity Magical white energy White werewolf with glowing icy blue eyes Thick, realistic white fur

Every full moon tells a story... this one awakens its queen. Created with Seedance 2.0 on @thankyouai_hq PROMPT: A beautiful young East Asian woman with long black hair styled half-up, soft natural makeup, pearl ear cuff, layered gold necklace, wearing a white satin slip dress, stands in a luxurious modern bedroom. Warm morning sunlight streams through sheer curtains. She gently touching her hair while looking into a tall vintage mirror. Everything feels peaceful and elegant. The camera slowly dollies toward her from behind, revealing both the woman and her reflection. Ultra realistic, cinematic lighting, shallow depth of field, 4K, highly detailed skin, natural movement. Camera Slow dolly forward. Emotion Calm and relaxed. Ultra-realistic cinematic fantasy Same woman in every scene Long black hair White satin dress Pearl ear cuff and layered gold necklace remain consistent Photorealistic skin Hollywood VFX Volumetric lighting Smooth camera movement 4K/8K quality Natural facial expressions Consistent character identity Magical white energy White werewolf with glowing icy blue eyes Thick, realistic white fur

Zarah

34,671 просмотров • 2 месяцев назад

Two beauty essentials, glossy nails, and a fresh natural glow Simple, elegant, and perfect for everyday beauty. Created with MiniMax H3 Prompt: Create a 15-second photorealistic vertical beauty video featuring the same young woman with long brown hair in a cozy indoor setting. She quickly and naturally presents two beauty products to the camera, showing both products clearly while her glossy manicured nails remain visible. She then briefly applies one product to her face and smiles naturally at the camera. Add a realistic, friendly female voice-over synchronized with her actions: “Let me show you these two products. They look so smooth and natural on the skin, and I absolutely love the finish. They’re super easy to use!” Use realistic skin texture, natural facial expressions, realistic hand movements, soft warm lighting, smooth camera motion, and a premium beauty-creator aesthetic. Keep the video clean and professional with no text or graphic elements on screen.

Two beauty essentials, glossy nails, and a fresh natural glow Simple, elegant, and perfect for everyday beauty. Created with MiniMax H3 Prompt: Create a 15-second photorealistic vertical beauty video featuring the same young woman with long brown hair in a cozy indoor setting. She quickly and naturally presents two beauty products to the camera, showing both products clearly while her glossy manicured nails remain visible. She then briefly applies one product to her face and smiles naturally at the camera. Add a realistic, friendly female voice-over synchronized with her actions: “Let me show you these two products. They look so smooth and natural on the skin, and I absolutely love the finish. They’re super easy to use!” Use realistic skin texture, natural facial expressions, realistic hand movements, soft warm lighting, smooth camera motion, and a premium beauty-creator aesthetic. Keep the video clean and professional with no text or graphic elements on screen.

Calira

18,073 просмотров • 1 месяц назад

Happy Horse 1.1 is finally here!! And HorsePower AI Cinema Awards Submissions Are Now Open! The Golden Acorn Heist was generated entirely with HappyHorse 1.1. A two-scene, 5-second heist sequence featuring Barnaby — a hyper-expressive flying squirrel - descending through a laser grid before triggering a plasma lava trap. The film pushes HappyHorse 1.5's core upgrades hard: orbital spiral camera moves with stable mid-air wire physics, violent whip-pan transitions, and a goggle-snap panic expression that lands in a single frame. Character detail stays locked across every cut via R2V multi-image referencing. Complex prompt. Zero drift. Whats New with Happy Horse 1.1? — Fluid motion under complex camera choreography (orbital spiral, whip-pan) — Consistent character detail across rapid scene cuts — Expressive facial rendering under high-motion conditions — Accurate response to multi-camera shot scheduling in a single prompt See what it can do >. HappyHorse #happyhorse #HorsepowerAICinema #happyhorse1.1 #ai

Happy Horse 1.1 is finally here!! And HorsePower AI Cinema Awards Submissions Are Now Open! The Golden Acorn Heist was generated entirely with HappyHorse 1.1. A two-scene, 5-second heist sequence featuring Barnaby — a hyper-expressive flying squirrel - descending through a laser grid before triggering a plasma lava trap. The film pushes HappyHorse 1.5's core upgrades hard: orbital spiral camera moves with stable mid-air wire physics, violent whip-pan transitions, and a goggle-snap panic expression that lands in a single frame. Character detail stays locked across every cut via R2V multi-image referencing. Complex prompt. Zero drift. Whats New with Happy Horse 1.1? — Fluid motion under complex camera choreography (orbital spiral, whip-pan) — Consistent character detail across rapid scene cuts — Expressive facial rendering under high-motion conditions — Accurate response to multi-camera shot scheduling in a single prompt See what it can do >. HappyHorse #happyhorse #HorsepowerAICinema #happyhorse1.1 #ai

ben.

21,377 просмотров • 3 месяцев назад