From X · Motion Transfer
Motion Transfer Prompts
Curated motion control and motion transfer video prompts collected from public posts on X. Try them in Oraclip with attribution to the original creators.
Did the motion control test with @higgsfield new native model. Genjutsu.
Did the motion control test with @higgsfield new native model. Genjutsu. This model excels in staying true to the original motion, even better than seedance 2.5 edit. Although, while it excels in motion, it can lack with surroundings details if you don't specify your prompt. https://t.co/xMMGHu7qLB
THE MOST PRECISE SEEDANCE 2.0 STORYBOARD METHOD I'VE TESTED One performe
THE MOST PRECISE SEEDANCE 2.0 STORYBOARD METHOD I'VE TESTED One performer. Live singing + choreography happening at the exact same time. No lip-sync drift, no expression breaking the movement. Most creators storyboard with plain notes and hope the model figures it out. The https://t.co/QVjG1U8X7c
Gemini Omni's motion control is f*cking cracked i just figured out how t
Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)
Depth maps just made motion transfer insane 😳🔥 Here's the prompts I used
Depth maps just made motion transfer insane 😳🔥 Here's the prompts I used: https://t.co/xdU5rK6bRl Try it out on Higgsfield: https://t.co/kIygTsu5TV Depth maps give AI a 3D read of your subject, so movement transfers with accurate volume, spacing, and occlusion instead of flat guesswork. That means character animation, dance transfer, and camera moves that hold their shape frame to frame. A serious upgrade for filmmakers, animators, and creators building AI video. #DepthMaps #MotionTransfer #AIVideo #CreativeAI #GenerativeAI
Not every hero wears a cap. Some carry a school bag. 🎒 Brought this cine
Not every hero wears a cap. Some carry a school bag. 🎒 Brought this cinematic animation to life with Seedance 2.0 on @budgetpixel Prompt 👇 Style: High-end 3D animated cartoon, cinematic Pixar-style lighting, expressive characters, shallow depth of field, dynamic motion blur, viral short-form pacing, 4K Scene 1 (0–3s) “Establish + Hook” Wide tracking shot from behind: a cartoon school boy walks alone on a quiet street, backpack bouncing slightly. Camera slowly pushes in (dolly-in). Subtle wind + soft suspense beat starts. Transition: quick whip pan left into next scene. Scene 2 (3–6s) “Threat Reveal” Snap zoom cut-in to a girl near a parked bike being threatened by two sneaky snatchers. One grabs her purse aggressively. Camera angle: low-angle wide shot to make snatchers look bigger and intense. Music intensifies sharply. Transition: fast heartbeat zoom blur into hero reaction. Scene 3 (6–9s) “Hero Moment Build” Close-up on the boy’s face determined expression, eyes reflecting light. He bends down (camera follows in slow-motion orbit shot) and picks up a small stone. Cinematic slow-motion throw with motion blur and dramatic lighting flare. Transition: impact cut (flash frame white) Scene 4 (9–11s) “Impact Chaos” Stone hits the bike with stylized spark FX + metallic clang sound vibe. Camera shakes slightly (handheld effect). Purse falls in slow motion. Snatchers react in exaggerated cartoon shock. Transition: speed ramp + forward push-in tracking shot Scene 5 (11–13s) “Action Resolution” The boy runs in smooth tracking side-shot (parallax motion), grabs the purse mid-motion. He steps in front of the girl protectively. Snatchers retreat in exaggerated cartoon panic (blurred background motion). Transition: soft stabilized slow fade motion Scene 6 (13–15s) “Hero Ending / Viral Hook Finish” Golden warm lighting. Medium close-up: boy returns purse gently. Girl smiles relieved. Camera slowly rotates around them (hero orbit shot). He puts on black sunglasses inslow-motion swag reveal. Soft romantic outro music fades. Final frame freezes for 0.5s (TikTok-style end lock).
Experience breathtaking cinematic motion created with Seedance 2.0 on @L
Experience breathtaking cinematic motion created with Seedance 2.0 on @Lart_AI. Generate ultra-smooth, realistic, high-quality videos with stunning detail, dynamic camera movement, and pro-level storytelling. Try yours here 👇 https://t.co/hI1mKhBgur Prompt: "A dangerous motorcycle ice racer with frost-covered black racing gear, mirrored helmet visor, and glowing bike headlights cutting through snowstorms. Frozen arctic industrial wasteland during blue-hour twilight. Ice roads, abandoned oil rigs, frozen bridges, collapsing tunnels, snow-covered shipping containers, and blizzard visibility conditions. Dark cinematic techno with deep sub-bass pulses. Ice friction, engine roar, chain vibrations, snow impacts, and freezing wind dominate the soundscape. Ultra-realistic motorsport cinematography mixed with survival thriller aesthetics and premium winter advertising. SHOT 1: Ultra-low front tire tracking shot carving through thick ice dust at dangerous speed. SHOT 2: Whip pan into a near-crash drift around frozen industrial wreckage. SHOT 3: Wide aerial shot showing the motorcycle racing across gigantic frozen ocean surfaces between abandoned structures. SHOT 4: Long-lens jump shot over shattered ice sections while snow explodes behind the bike. SHOT 5: Circular side tracking shot during a prolonged sideways drift inches from a cliff edge. SHOT 6: Final impossible jump through a collapsing frozen tunnel during whiteout conditions. The rider lands violently, fishtails across black ice, then slowly stops beneath flickering industrial lights while snowstorm winds consume the frame. Music cuts instantly."
The kind of refreshment you can actually feel by using Nano Banana 2 + S
The kind of refreshment you can actually feel by using Nano Banana 2 + Seedance 2.0 on @Creatify_AI prompt ## Scene 1 (0:00 - 0:03) — "The Walk" **Shot:** Wide establishing drone shot of the picturesque European-style town. Sunlight reflects off pastel buildings, café terraces bustle with life, flower boxes sway gently in the breeze. **Cut to:** Medium tracking shot moving alongside the woman as she walks confidently down the cobblestone street holding the cold FANTA can. **Camera:** Smooth gimbal tracking, shallow depth of field. **Dialogue:** None. **Audio:** Birds, distant café chatter, footsteps on cobblestones, soft city ambience. --- ## Scene 2 (0:03 - 0:06) — "Refreshing Moment" **Shot:** Close-up of condensation droplets sliding down the FANTA can. **Cut to:** Medium close-up as she raises the can and takes a sip. **Shot:** Extreme close-up of her closing her eyes and smiling in satisfaction. **Dialogue (soft, natural):** **Woman:** *"That's exactly what I needed."* **Audio:** Can opening sound, carbonation fizz, subtle refreshing sound design. --- ## Scene 3 (0:06 - 0:08) — "The Wind Arrives" **Shot:** A few papers begin sliding across the street. **Cut:** Her hair moves slightly as she notices the wind. **Cut:** Hundreds of white papers suddenly burst into frame, swirling upward around her. **Camera:** Fast whip pan transitioning into slow motion. **Dialogue:** None. **Audio:** Rising wind gust, fluttering paper sounds. --- ## Scene 4 (0:08 - 0:12) — "Hero Moment" **Shot:** Dramatic low-angle shot. She raises the bright red FANTA can high above her head while looking toward the sky. Papers spin around her in beautiful chaotic motion. The camera slowly circles 360 degrees around her. Strong sunlight creates lens flares, god rays, and glowing highlights. Several sheets fly directly past the camera lens. **Dialogue (inspired, joyful):** **Woman:** *"This feels amazing."* --- ## Scene 5 (0:12 - 0:15) — "Commercial Finish" **Shot:** Extreme low-angle hero shot of the FANTA can against the blue sky. **Cut to:** Slow-motion smile as papers continue floating around her. **Final shot:** Freeze-frame style ending with the can remaining centered in frame while the town softly blurs behind. **Dialogue:** None. **Audio:** Wind slowly fades, uplifting musical swell, ambient city sounds return. --- ## Camera Cut Summary 1. Establishing aerial shot. 2. Side tracking medium shot. 3. Product close-up. 4. Drinking close-up. 5. Reaction close-up. 6. Paper gust whip-pan transition. 7. Low-angle hero shot. 8. 360° orbit shot. 9. Extreme product close-up finale. This structure gives the video a clear **commercial narrative arc**: **Discovery → Refreshment → Transformation → Celebration → Brand Hero Shot** #Creatify #aimediabuyer #aitools #MarketingTips #D2CMarketing
Seedance 2.0 4K on Higgsfield Prompt: A dangerous motorcycle ice racer w
Seedance 2.0 4K on Higgsfield Prompt: A dangerous motorcycle ice racer with frost-covered black racing gear, mirrored helmet visor, and glowing bike headlights cutting through snowstorms. Frozen arctic industrial wasteland during blue-hour twilight. Ice roads, abandoned oil rigs, frozen bridges, collapsing tunnels, snow-covered shipping containers, and blizzard visibility conditions. Dark cinematic techno with deep sub-bass pulses. Ice friction, engine roar, chain vibrations, snow impacts, and freezing wind dominate the soundscape. Ultra-realistic motorsport cinematography mixed with survival thriller aesthetics and premium winter advertising. SHOT 1: Ultra-low front tire tracking shot carving through thick ice dust at dangerous speed. SHOT 2: Whip pan into a near-crash drift around frozen industrial wreckage. SHOT 3: Wide aerial shot showing the motorcycle racing across gigantic frozen ocean surfaces between abandoned structures. SHOT 4: Long-lens jump shot over shattered ice sections while snow explodes behind the bike. SHOT 5: Circular side tracking shot during a prolonged sideways drift inches from a cliff edge. SHOT 6: Final impossible jump through a collapsing frozen tunnel during whiteout conditions. The rider lands violently, fishtails across black ice, then slowly stops beneath flickering industrial lights while snowstorm winds consume the frame. Music cuts instantly.
Prompt Studio: Motorcycle Ice Racer with Seedance 2.0 in @runwayml A dan
Prompt Studio: Motorcycle Ice Racer with Seedance 2.0 in @runwayml A dangerous motorcycle ice racer with frost-covered black racing gear, mirrored helmet visor, and glowing bike headlights cutting through snowstorms. Frozen arctic industrial wasteland during blue-hour twilight. Ice roads, abandoned oil rigs, frozen bridges, collapsing tunnels, snow-covered shipping containers, and blizzard visibility conditions. Dark cinematic techno with deep sub-bass pulses. Ice friction, engine roar, chain vibrations, snow impacts, and freezing wind dominate the soundscape. Ultra-realistic motorsport cinematography mixed with survival thriller aesthetics and premium winter advertising. SHOT 1: Ultra-low front tire tracking shot carving through thick ice dust at dangerous speed. SHOT 2: Whip pan into a near-crash drift around frozen industrial wreckage. SHOT 3: Wide aerial shot showing the motorcycle racing across gigantic frozen ocean surfaces between abandoned structures. SHOT 4: Long-lens jump shot over shattered ice sections while snow explodes behind the bike. SHOT 5: Circular side tracking shot during a prolonged sideways drift inches from a cliff edge. SHOT 6: Final impossible jump through a collapsing frozen tunnel during whiteout conditions. The rider lands violently, fishtails across black ice, then slowly stops beneath flickering industrial lights while snowstorm winds consume the frame. Music cuts instantly.
FLUX 3 Max from @fal, a post-trained version of @bfl_ai's FLUX 3, ranks
FLUX 3 Max from @fal, a post-trained version of @bfl_ai's FLUX 3, ranks #2 on AA-Video-I2V v1.1 (statistically tied for #1) and #4 on AA-Video-T2V v2.1, ahead of the base FLUX 3 on both FLUX 3 Max generates 5 to 20 second, 720p videos with native audio from a text prompt or a starting image. fal reports that it generates a 10 second video in under 12 seconds. We benchmarked it at the high reasoning level. FLUX 3 Max ranks #2 on AA-Video-I2V v1.1 and #4 on AA-Video-T2V v2.1, statistically tied with Dreamina Seedance 2.5 and MiniMax H3 (768p) on both, and ahead of its base model FLUX 3. On AA-Video-T2V v2.1, it scores highest of any model in the Physics capability, and in the Marketing & Advertising and Live-Action Film use cases. fal prices FLUX 3 Max at $10.20/min for 720p video, compared to $17.40/min for FLUX 3, and $24.60/min for Dreamina Seedance 2.5 and $5.40/min for MiniMax H3 (768p) on Image to Video. For the first three weeks of launch, fal is offering 75% off, at $2.55/min. Congratulations to @fal on the release! See below for our detailed analysis and comparisons between FLUX 3 Max and other leading models on AA-Video-T2V v2.1 and AA-Video-I2V v1.1 🧵
Golden hour on your wrist.The Captain Cook Golden Dial brings that perfe
Golden hour on your wrist.The Captain Cook Golden Dial brings that perfect touch of brilliance to a legendary design. Made with Seedance 2.0 Prompt: A cinematic luxury product commercial featuring a premium gold-dial diver-style wristwatch with a black textured rubber strap. Ultra-realistic macro cinematography, extreme close-up shots of the shimmering textured gold dial, polished stainless-steel case, rotating bezel, luminous hands and markers, and engraved details. Smooth 360° rotating turntable, slow-motion movement, dramatic reflections across the sapphire crystal, soft golden bokeh background, warm studio lighting, shallow depth of field, precision focus pulls, premium luxury watch advertisement aesthetic, crisp metallic textures, elegant camera slides, flawless 8K HDR quality, photorealistic, high contrast, ultra-detailed, clean studio setup, luxury brand commercial style, cinematic color grading, premium product showcase.

🔥 How to Create Dancing AI Influencer Videos in Minutes! You can make yo
🔥 How to Create Dancing AI Influencer Videos in Minutes! You can make your AI influencer replicate dance moves and facial expressions from existing videos. Here’s how 👇 1. Create Your AI Influencer In OpenArt, select Nano Banana Pro, add your image prompt, choose 9:16 or 16:9, set resolution to 2K, and generate. 2. Choose a Dance Video Download a dance video from Pinterest, TikTok, or Instagram, then screenshot its first frame. 3. Match the Starting Pose Upload your AI influencer image and the screenshot to OpenArt as visual references. Generate an image matching the pose. This step is optional but can improve results. 4. Animate the Dance Open OpenArt’s Motion Sync tool: → Select Kling 2.6 → Add your influencer image as the subject → Upload the dance video as the motion reference → Set Character Orientation to Exact → Leave Video Mode on Standard → Enable Keep Original Sound if needed → Click Generate That’s it! Your AI influencer can now recreate the dance movements and expressions.
Depth video workflows have been getting a lot of attention lately, so I
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: https://t.co/mLq2yAYTyx 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.
A 22-year-old overseas creator earns 11,450 USD (about 1.75 million yen)
A 22-year-old overseas creator earns 11,450 USD (about 1.75 million yen) in one month using only AI generated dancing beauties. Here’s the case study. What he did was just this simple: • Plan out the persona and viral hooks with Claude • Gather reference styles from Pinterest and build consistent avatars with Flux & GPT Image • Mass-produce fluid 15-second dancing shorts with Kling and Seedance • Launch 3 TikTok and Instagram Reels accounts for testing One video hit 2.4 million views in 3 days. By narrowing it down to the winning character motion pattern and keeping up automated scheduling, DMs flooded in after 8 days. He directed them to Fanvue and landed 540 subscribers in the first month at 9.99 USD/month. On top of that, he secured a 2,500 USD monthly retainer from a clothing brand for subtle product integration. No need to show your face or do any filming. Just create AI dance models and make them go viral. Hitting over 1.5 million yen a month is now reality with just one PC that’s the power of today’s AI content game. By the way, if I were doing this in Japan or globally, here’s how I’d approach it: Use Claude to nail down the concept for a high-retention dancing AI girl (streetwear dancer type, energetic fitness style, casual aesthetic, etc.) ↓ Collect reference assets and generate consistent avatars using Flux or GPT Image ↓ Mass-produce 15 second rhythm-synced short videos with CapCut + Kling or Seedance ↓ Test-post across 3 accounts on TikTok, Instagram, and YouTube Shorts ↓ Focus daily output on the exact character and movement pattern getting the best reactions ↓ Drive traffic from profiles to Fanvue / Fantia / paid platforms No camera or face reveal required. Just create AI dancers, test them → nurture the winners, and scale the same pipeline seamlessly.
I really love this kind of ice dancing vibe 😭 made with GPT Image 2 + Se
I really love this kind of ice dancing vibe 😭 made with GPT Image 2 + Seedance 2 workflow👇 https://t.co/gm2qdeAO52 https://t.co/IHOR6SFfg0
Seedance 2.0 prompt right here ✍️ Video game cutscene, epic fantasy acti
Seedance 2.0 prompt right here ✍️ Video game cutscene, epic fantasy action, dramatic volumetric god rays, heavy dust and debris, photorealistic with stylized game lighting, intense physics. 0-4s: Wide low-angle tracking shot following the hero sprinting through an ancient stone corridor. Sudden massive collapse behind him. Camera accelerates into a fast tracking shot as the floor cracks and drops away. 4-8s: Extreme dolly zoom (vertigo effect) on the hero’s face as he leaps across a widening chasm — background rushes toward camera while zooming in, creating strong disorientation. Hero twists mid-air grabbing a swinging chain. 8-12s: Dynamic orbiting camera spinning 180° around the hero while he swings across collapsing platforms. Camera tilts wildly with the falling debris, inducing vertigo. Hero runs across a tilting stone bridge that is breaking apart. 12-15s: Final desperate leap toward sunlight as the entire temple collapses into a massive sinkhole. Camera spins and drops with him in freefall, slow-motion rotation, ending with a dramatic pull-back as he lands on safe ground outside. Heavy motion blur on fast elements, coherent physics, intense energy. Ultra-detailed stone textures, cinematic lighting, perfect motion blur, high dynamic range, stable character, movie-level stability.
How to use Kling 3.0 Motion Control for football-style shots? Prompt bel
How to use Kling 3.0 Motion Control for football-style shots? Prompt below! Who else lives for this kit? Tested a Brazil football portrait with Kling 3.0 Motion Control and the result came out super clean. Started from a full-body stadium portrait of a blonde woman wearing the Brazil home kit — yellow jersey, black shorts, black socks, white sneakers — then used motion control to turn it into a more dynamic football-style shot with that cinematic stadium energy. 1. Go to the [Kling AI Video Generator](https://t.co/jz38n6Kydy) 2. Write your full prompt or add reference images 3. Upload the image you want to animate 4. Click Generate and get your animated video # Photo prompt: "A full-body portrait of a young woman with long straight blonde hair, fair skin, and a slight smile, standing confidently in a football stadium. She is wearing the official Brazil national football team home uniform: bright yellow jersey with green collar and sleeve cuffs, CBF logo on the chest, black shorts, black socks pulled up, and white football sneakers. Her pose is casual with one leg slightly forward, arms relaxed. Background shows a vibrant football stadium with green pitch, crowded stands, bright stadium lights, and athletic atmosphere. Realistic photography style, sharp details, natural daylight mixed with stadium lighting, high resolution, cinematic composition." The base image was designed with: * full-body composition * realistic football stadium background * bright match-day atmosphere * natural pose and confident stance * sharp photoreal details Really liking how Motion Control helps keep the composition stable while adding smooth camera movement. Share your thoughts about this dance video for the World Cup 2026 below!
Experimenting with Depth Map + Seedance 2.5. It feels a bit like motion
Experimenting with Depth Map + Seedance 2.5. It feels a bit like motion transfer, but with more precise control over how movement is interpreted and carried into the generated shot. What makes this interesting to me is that it can help unlock motions that are still difficult to achieve reliably with text prompting alone, especially more specific body movement, camera-relative motion and unusual physical actions. There’s a lot of potential here for choreography, action, dance, performance studies and more controlled cinematic movement. Made this on wavespeed — Original video source: asyasherim
this use case for Seedance 2.5 is insane... someone turned a walkthrough
this use case for Seedance 2.5 is insane... someone turned a walkthrough of a half-built construction site into a finished, furnished marketing video the trick: Seedance 2.5's video-to-video mode. feed it a driving video and it re-skins everything while keeping the motion here's the setup: - raw walkthrough filmed on the unfinished site = driving video - 2 generated stills of the finished space = start and end anchor frames - camera path, pacing, doors, turns... all pulled straight from the real footage - building, finishes, people in shot... all pulled from the anchor frames prompt structure: "Use [reference video] as driving video. Start with [reference image]. POV, camera follows a real estate agent walking towards a newly completed apartment. He's showing off the place to camera, walking casually up a footpath surrounded by lush landscaping. Camera follows him through the glass doors into a furnished common area, marble floor, oak timber wall panelling. Ends with [reference image]. No transformation, no morphing, no bgm." that last line is the whole trick. without it, Seedance drifts off your camera path trying to be clever with it, motion stays locked to what you actually filmed where it breaks: material detail it never saw, marble veining, panel grain, reflections. fine for a teaser, not a client-facing final for real estate and architecture marketing this changes the math. you don't need the building finished to shoot the video that sells it, you need 30 seconds of someone walking the path and Seedance 2.5 does up to 30 seconds in one pass, so that's an actual walkthrough shot, not 6 clips stitched together
This is f*cking gold, and most people will scroll right past it 🔥 While
This is f*cking gold, and most people will scroll right past it 🔥 While everyone chases one viral AI clip, I built a character who pulled 27.7K followers in 30 posts across Instagram, TikTok and Facebook. Biscuit Johnson remains true to himself. That’s what makes his style unique. My last post about him hit 230K+ views. This 360° turn is the real secret: one face, locked from every angle, so he looks the same in every video. The exact workflow: -> Give him 3 loud traits. Bald top with wild bushy sides, thick mustache with a gap tooth, tan double-breasted suit over a black turtleneck. One outfit forever. -> Generate the face in Nano Banana Pro (Google Flow), then a character sheet: front, side, back, close-ups -> Turn the sheet into a 360° video like this one. Every clip pulls from it -> Screenshot a frame from a 1M+ clip, generate Biscuit in that angle, run both through Kling or Higgsfield -> Post 1-2 Reels a day. “Certified Menace” in the bio, no text on the video -> Route traffic: bio → Linktree → your offer A viral clip gets watched once. A character gets followed 👀 Prompt 1: 360° turn (Kling / Higgsfield / Seedance) Upload your character sheet as the reference, not a single photo. The back view matters. Prompt: The same man from the reference stands on a plain light-grey studio background and slowly turns 360 degrees in place, clockwise, at a steady speed: front, side, back, side, front. The person rotates, the camera does not move. Full body in frame, arms relaxed, neutral expression, feet stay on the same spot. Soft even studio light. Same face, hair, outfit and proportions in every frame. Prompt 2: motion swap (Kling Motion Control / Higgsfield / Seedance) Inputs: your character image + a viral video with one person and a steady camera. Prompt: Replace the main person in the video with the character from the image. Keep the same face, hair, outfit and body proportions in every frame. Copy the original movement, gestures, expressions and timing exactly. Keep the original background, lighting, camera movement and audio. Lip sync if the person talks. Match the source video quality, no glossy AI look.
Made with Seedance 2.0 + GPT Image 2 on @Lart_AI 15-second high-intensit
Made with Seedance 2.0 + GPT Image 2 on @Lart_AI 15-second high-intensity motorcycle commercial, ultra cinematic, aggressive editing style, perfectly synced to music beats, fast cut rhythm with explosive transitions, luxury performance motorcycle advertisement. Heavy use of speed ramping, whip pans, crash zooms, motion blur, and dynamic camera shakes for impact. Beat 1 (Intro Hit) Extreme close-up of motorcycle LED headlight turning on in total darkness, sudden light ignition, quick push-in with subtle lens flare burst. Beat 2 Rider puts on helmet, visor slams down, sharp sound-synced cut, tight close-up with slight camera shake for impact. Beat 3 (Build-up) Engine ignition close-up, mechanical vibration intensifies, fast orbit camera movement, metallic tension buildup. DROP 🔥 Beat 4 Motorcycle launches forward violently from standstill, tire grip explosion, dust burst, aggressive rear tracking shot with speed ramp. Beat 5 High-speed mountain drift through sharp corner, motorcycle leaning hard, drone whip-pan following movement, heavy motion blur, cinematic tension. Beat 6 Fast urban night sprint through real city streets, warm street lights, rapid FPV forward rush, crash zoom transitions between street sections, gritty realistic tone (no neon, natural lighting only). Beat 7 (Mid-air energy peak) Drone orbit shot around motorcycle crossing bridge at extreme speed, wind pressure visible, environment wide scale reveal, fast rotational camera movement. Beat 8 (Impact shot) Ultra-low roadside pass-by, motorcycle rushes past camera at extremely close distance, strong whoosh effect, heavy motion blur, slight camera shake impact. Beat 9 (Hero landing) Cinematic crane-up reveal at mountain overlook, golden hour sunset, motorcycle slowly settles, calm contrast after chaos, epic final hero frame. 🎬 Style Direction (Important) Ducati / BMW Motorrad / Top Gear cinematic aggression, Netflix automotive intensity, IMAX-scale realism, grounded physics, no cyberpunk, no neon, pure mechanical power + real-world adrenaline. #ミリシタ9周年Party #EIGHTJAMゴールデンSP #角巻わため生誕祭2026 visit here: https://t.co/hHCUhz5RzY
THIS AI KUNG FU MASTER HAS ALREADY EARNED $7,657 IN JUST TWO WEEKS. HE H
THIS AI KUNG FU MASTER HAS ALREADY EARNED $7,657 IN JUST TWO WEEKS. HE HAS 34,600 FOLLOWERS AND HE DOESN'T EVEN EXIST. YOU CAN START MAKING MONEY FROM THIS RIGHT NOW, JUST LIKE HIM. here’s how to build your own character and make videos like this ↓ — meet Sean Dynasty Prosper. 26 posts. 34.6K followers. an AI-generated profile built around a “30th Generation Wing Chun Master.” dramatic curved hair. dark clothing. bright white cuffs. in this clip, the characters take turns approaching the camera before performing together. one recognisable cast gives the creator a whole series of situations to test. — 1 → CREATE YOUR CHARACTER use ChatGPT image generation or Higgsfield’s image tools to design an original character. give them distinctive features that stay readable during movement: hairstyle, silhouette, outfit and facial expression. save: → a clear facial close-up → a full-body image → front, three-quarter and side views → consistent clothing and hair keep the reference sheet for future scenes. for animation, prepare a clean individual image of the character in the setting you want. — 2 → PREPARE A MOVEMENT REFERENCE record a short dance or playful martial-arts sequence, or use footage you have permission to work with. start with one person whose hands and feet remain visible. choose a short action with a clear beginning and ending. you’ll be able to inspect the result and retry without regenerating a long performance. — 3 → PICK YOUR VIDEO WORKFLOW Kling Motion Control → animate your character using a performance reference upload your character image and the movement video. the reference video guides the actions. facial Element Binding can help preserve the character’s identity through movement and head turns. Kling’s guide supports one bound character, so begin with solo shots before attempting a whole crew. Higgsfield Genjutsu → transform existing footage choose Motion Transfer to apply a reference performance to a new character or scene. choose Object Swap to replace selected elements while retaining the rest of the shot. use the workflow that matches your goal: rebuilding the scene around a movement, or changing part of existing footage. — 4 → ASSEMBLE THE VIDEO IN CAPCUT pick the strongest takes. start with the action. remove empty pauses. add suitable audio. export vertically. for the first test, give each character a separate shot. once those work, try bringing them together. — 5 → CHECK THE DETAILS watch the result closely: → does the face change during turns? → do the hair and clothes stay consistent? → do hands distort or disappear? → do feet slide across the ground? → do characters merge when they overlap? regenerate weak shots. trimming helps, but it won’t fix every visual error. — THE STARTER SETUP character references → ChatGPT or Higgsfield movement transfer → Kling Motion Control footage transformation → Higgsfield Genjutsu final edit → CapCut choose one video workflow first. you don’t need subscriptions to every service to begin testing. start with one character and one short performance. build the crew once the first result holds up.
1/ Quick workflow for this case: 1. Take the original reference video 2.
1/ Quick workflow for this case: 1. Take the original reference video 2. Convert it into a Depth video 3. Use the Depth video as the motion reference 4. Add your own character reference image 5. Use a prompt to replace the outfits and styling 6. Generate with Seedance Original video reference: Douyin creator 原来是陶阿狗君 Full Depth workflow is in the quoted post above.
YOU'VE BEEN WRITING YOUR AI VIDEO PROMPTS WRONG THIS WHOLE TIME the most
YOU'VE BEEN WRITING YOUR AI VIDEO PROMPTS WRONG THIS WHOLE TIME the most expensive word in them is "cinematic" type "make it cinematic" and the model guesses. you watch, sigh, reroll. every reroll is billed, in credits, tokens or a whole evening directors never say "make it nice". they say "slow dolly in, rack focus to the hands, whip pan out". three names, one take the gap between an amateur prompt and a pro one isn't taste. it's vocabulary so here are 24 shot names, animated in the 3 videos below. save this for the next time you open claude, codex or any video model camera moves pan: camera turns left or right, stays in place tilt: turns up or down dolly in: the camera itself travels closer zoom in: only the lens gets closer, the background flattens tracking: moves alongside the subject orbit: circles the subject crane up: rises and reveals the whole scene dolly zoom: moves in while zooming out. the face holds, the world stretches lens and time rack focus: focus jumps from one subject to another handheld: small natural shake, feels real fpv: drone flight straight through the scene dutch angle: tilted horizon, something feels off slow motion: one second becomes four speed ramp: fast, then slow on the key moment, then fast timelapse: a whole day in a few seconds freeze frame: the action stops on one beat transitions whip pan: a blurred swipe into the next shot match cut: same shape, new scene smash cut: quiet to loud with no warning cross dissolve: one shot melts into the next dip to black: a breath between scenes wipe: a line pushes the new shot in zoom through: punch into an object, come out in the next scene j-cut: you hear the next scene before you see it the prompt i paste before any video job: "write every scene as: move + speed + subject + transition out. example: slow dolly in on the trader's hands, rack focus to the screen, whip pan out. use only these 24 names. if a scene needs something that isn't on the list, ask me before you render" vague prompts get paid for twice. named shots get paid for once