来自 X · Motion Transfer
动作迁移提示词
从 X 公开帖子精选的 Motion Control / Motion Transfer 视频提示词，可在 Oraclip 试用，并保留作者署名与原帖链接。
Seedance 2.0 Prompt: A detailed English prompt for AI video/image genera
Seedance 2.0 Prompt: A detailed English prompt for AI video/image generation based on this video: **Prompt:** A high-end, aesthetic commercial shot of **Bioderma Hydrabio Hyalu+ Serum**. * **Scene Details:** * A clear blue glass serum bottle with white text and a white dropper cap. * Extreme close-up shot of the glass pipette dispensing a clear, hydrating liquid drop onto smooth skin. * Smooth application of the serum glowing on skin, highlighting its hydrating texture. * Macro shot of air bubbles floating inside the transparent blue bottle liquid. * **Lighting & Style:** Studio lighting, clean aesthetic, ultra-sharp focus, cinematic macro commercial product showcase, pristine visual quality, 8k resolution.
Curiosity almost got the cat... but thankfully it was something eles. 👀
Curiosity almost got the cat... but thankfully it was something eles. 👀 Wait for that plot twist at the end! What did you think was in the box? 👇✨ Seedance 2.0 on @Flovaai Prompt: Style: Stylized 3D cartoon (think Luigi's Mansion meets Spider-Man: Into the Spider-Verse). Rich textures, dramatic cinematic lighting, and exaggerated, expressive character physics.Scene 1 (0.0 – 2.5s) | The DiscoveryVisual: A wide-eyed, fluffy cartoon cat freezes in a dark, dusty attic. Its glowing green eyes lock onto a massive, trembling cardboard box covered in "DO NOT OPEN" tape. Camera: Dynamic Push-in. Starts wide, then violently whips forward into an extreme close-up of the cat’s dilated pupils, reflecting the shaking box.Scene 2 (2.5 – 5.0s) | The ApproachVisual: The cat creeps forward on tip-toes. Suddenly, a massive, jagged shadow rises from behind the box, looming over the walls like a multi-legged monster. Camera: Low-Angle Tracking Shot. The camera skims along the floorboards right in front of the cat's paws, tilting up sharply to reveal the terrifying, growing shadow.Scene 3 (5.0 – 7.5s) | The SoundVisual: CREAK! The box lid violently pops open an inch. A puff of glowing green dust explodes out. The cat’s fur stands completely on end, sparks of static electricity flying. Camera: Orbit Arc Shot. The camera rapidly spins $360^\circ$ around the cat at high speed, capturing its sheer panic from every angle as the dust settles.Scene 4 (7.5 – 10.0s) | The Final StretchVisual: The cat decides to investigate. It reaches out a single, trembling paw toward the glowing gap in the box. A low, rumbling growl vibrates through the room. Camera: POV Crane Down. Looking directly from the inside of the dark box up at the cat’s approaching paw, plunging downward as the gap narrows.Scene 5 (10.0 – 12.5s) | The ClimaxVisual: The box bursts open completely! Glowing eyes flash from the darkness. The cat gasps, flying backward through the air in slow-motion cartoon terror. Camera: Zolly (Hitchcock Zoom). The background stretches dramatically while the cat stays fixed in the center of the frame, amplifying the sudden shock.Scene 6 (12.5 – 15.0s) | The TwistVisual: Time snaps back to normal speed. A tiny, adorable, glowing robotic toy mouse hops out of the box, happily squeaking and chasing its own tail. The cat faceplants into a pile of pillows in the background, looking utterly exhausted. Camera: Whip-Pan to Static. The camera rapidly whips away from the flying cat to lock onto the tiny mouse, ending on a crisp, comedic still shot.
🔥 This looks like a scene from an AI movie… But the movement came from a
🔥 This looks like a scene from an AI movie… But the movement came from a real reference video. Using @pixverse Depth Map Control, I combined: 🎬 Real motion reference 🌐 Depth guidance 🖼️ A new visual style The result? A character keeping the original action while stepping into a completely different world. From fight choreography to cinematic scene transformation, this workflow opens up new creative possibilities for AI video creators. More direction. More control. More ways to create. 👀 https://t.co/fVrLEdnw4j
AI Dance Production, From Look to Motion A viral dance video shouldn’t d
AI Dance Production, From Look to Motion A viral dance video shouldn’t depend on one lucky generation. With APOB AI, creators can design consistent AI influencers, create dance-ready visuals with GPT Image 2.0 in Chat to Generate, refine styling and poses in Chat to Edit, then turn still frames into smooth dance videos with Seedance 2.0 in Image to Video Ultra S. Build repeatable AI dance content from concept to performance. Try it now: https://t.co/SofHQ44T9S Prompt and Tutorial👇
Seedance 2.0 prompt Cyberpunk Neon Samurai Duel (High-energy action vira
Seedance 2.0 prompt Cyberpunk Neon Samurai Duel (High-energy action viral style)15-second ultra-cinematic cyberpunk VFX duel, anamorphic lens flares, 8K hyper-realistic, neon-noir rainy Shinjuku alley at night, torrential rain with realistic splashes and reflections on wet asphalt, pink/teal volumetric lighting, high-speed shutter with motion blur, realistic physics mixed with stylized slow-mo impacts, sparks and energy shockwaves, no text/logos, samurai maintains perfect face, glowing neural links, and katana consistency throughout, no deformation or extra limbs. 0–2s: Extreme low-angle tracking shot, cyber-samurai with glowing blue neural links strides powerfully through pouring rain, katana humming with electric energy. 2–4s: Wide whip-pan as holographic guards materialize, samurai launches into fluid sword flurry, blade collisions exploding bright sparks. 4–6s: Medium 120fps tracking shot, low sweeping kick sends one guard flying, camera follows the leg arc with realistic rain spray. 6–8s: Bullet-time 360° orbit, samurai deflects digital bullet rain with vibrating katana, creating expanding blue energy rings in slow motion. 8–10s: Vertical slow-mo jump spin, powerful downward strike cracks asphalt, concrete shards and rain droplets exploding upward in perfect spheres. 10–12s: Close-up whip-pan on samurai’s reflective visor, neon lights flickering as he spins to face the final guard. 12–14s: Extreme close-up on narrowed eyes, katana sheathes with sharp metallic click and electric discharge, background neon bokeh blur. 14–15s: Quick wide pull-back, samurai stands victorious amid settling rain and debris in a dramatic hero silhouette freeze.
Randi, allow me to demonstrate. 😂💃 I borrowed your video, dropped myself
Randi, allow me to demonstrate. 😂💃 I borrowed your video, dropped myself into it with Kling motion control and… yeah. This is why I keep recommending it. 😏 Same moves. Different girl. ❤️ Your turn, @RandiAthenas — give Kling another shot! 😂 #MikaMilani #KlingAI #MotionControl #AIVideo
A $40 AI CLIP AND A $40,000 SHOOT ARE SEPARATED BY TWO WORDS the two wor
A $40 AI CLIP AND A $40,000 SHOOT ARE SEPARATED BY TWO WORDS the two words are the camera move. most AI video prompts describe the subject and the light, leave the camera out, and get the same slow drift every time. the vocabulary a film crew uses, and what each move does to the viewer: > DOLLY ZOOM - the background stretches while the face stays put. the floor drops out > DOLLY IN - the camera moves toward the face. a realization lands > CRASH ZOOM - a snap zoom. shock, or the punchline > WHIP PAN - a pan so fast it blurs. energy, and it hides a cut > RACK FOCUS - focus jumps from the foreground to the subject. the reveal > ORBIT - the camera circles the subject. the hero moment > CRANE UP - rises and pulls back. endings, scale > TRACKING SHOT - moves alongside someone walking. momentum > FPV DIVE - a drone dive through the space. speed > LOW ANGLE - near the ground, looking up. power > DUTCH ANGLE - the horizon tilts. something is wrong > HANDHELD - a small shake. it feels filmed, not generated two habits matter more than the list. name the move before the subject, and give each shot one move. stack two in one prompt and you are asking the model to guess which one you meant. the $40,000 used to pay for the dolly track, the crane and the focus puller. now it pays for knowing their names.
Made with Seedance 2.0 and @higgsfield_ai 👀 🔥 Prompt: Cinematic AAA vide
Made with Seedance 2.0 and @higgsfield_ai 👀 🔥 Prompt: Cinematic AAA 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. Photorealistic 8K, ultra-detailed stone textures, cinematic lighting, perfect motion blur, high dynamic range, stable character, movie-level stability, no artifacts.
Tried the same choreography-driven animation on Kling back in February.
Tried the same choreography-driven animation on Kling back in February. Redid it with Seedance 2.0 this week. Motion fidelity is a clear step up. This is currently my go-to for motion control. https://t.co/cxkIJEkYQ4 https://t.co/nA1SYwVW3S https://t.co/BrhMWVHfWd
They weren't dancing for the crowd. They were calling someone. An AI sho
They weren't dancing for the crowd. They were calling someone. An AI short inspired by ancient Indian mythology, ritual dances, and the moment devotion turns into a divine encounter. Made with Seedance. Music created in Suno. Final edit in CapCut. #Darshan #Shiva https://t.co/c8uD7s5zKh
You guys don't know how powerful ghostfeed mcp is There are three steps
You guys don't know how powerful ghostfeed mcp is There are three steps to producing a video of this quality: 1. Enter the tiktok link in claude once ghostfeed mcp is installed 2. Ghostfeed analyses the original clip and writes high quality prompt is exact and creates first frame which is exact. 3. Don’t use Kling Motion Control. Use Seedance Mini
THIS GUY BUILT AN AI PIPELINE THAT MAKES INFLUENCERS DANCE AND NOW NIGHT
THIS GUY BUILT AN AI PIPELINE THAT MAKES INFLUENCERS DANCE AND NOW NIGHTLIFE BRANDS PAY HIM $1,800 PER CHARACTER. He got tired of watching every AI video account post models that stand still and blink so he built a 7-node system that outputs full-body dance sequences where the https://t.co/ut6r1TBhT7
Finally, i can sleep well tonight. Higgsfield genjutsu is perfect motion
Finally, i can sleep well tonight. Higgsfield genjutsu is perfect motion control for cardistry. . I pushed it beyond simple motion transfer: • Copied the original motion • Changed the card colors • Replaced the characters • Added minimal motion-graphic typography • Kept the visual timing and choreography intact And surprisingly, it executed the whole concept really well. . made with @higgsfield_ai @higgsfield_crea
Too funny not to post. First attempts working with local video gen with
Too funny not to post. First attempts working with local video gen with motion control net. Ways to go, but it's a start. Vesper x Apex dance scene w/ audio https://t.co/zl1WU4JoqM
📹 China's New Humanoid Robot Shows Off Incredible Dance Moves China's UB
📹 China's New Humanoid Robot Shows Off Incredible Dance Moves China's UBTECH bionic humanoid robot has stunned audiences after performing ballet and waltz routines alongside human dancers during a live demonstration. Developed by UBTECH Robotics, the full-size robot features https://t.co/OT5LgSDby7
Most AI videos fail at camera work, not visuals. I broke down a 15s AI s
Most AI videos fail at camera work, not visuals. I broke down a 15s AI short into the 4 camera moves that tell its story: a locked frame, a chase, a whip pan, and a dolly zoom. 🎬 The storyboard prompts for each shot are in the replies 👇 https://t.co/r811X2tC7s
WaveSpeedのSeedance2.5で生成（i2v） ワイド比おかしいけどね サブスクじゃなくて都度課金 Seedance 2.5 (Im
WaveSpeedのSeedance2.5で生成（i2v） ワイド比おかしいけどね サブスクじゃなくて都度課金 Seedance 2.5 (Image-to-Video Turbo) がコスパ良いらしい https://t.co/ZscrL9SARi https://t.co/esYiMJH1px
40 MINUTES IS ALL IT TAKES TO BUILD THE GIRL DANCING IN THIS REAL APARTM
40 MINUTES IS ALL IT TAKES TO BUILD THE GIRL DANCING IN THIS REAL APARTMENT. SHE MOVES LIKE A HUMAN FOR ONE REASON: A REAL HUMAN MOVED FIRST. HERE IS THE BUILD. Most people assume the realism comes from the model. It comes from a person you never see. The build: 1. Train a LoRA on 15 to 30 reference images. It locks her face, jaw, and exact skin tone so she never drifts across outfits or angles. 2. Film a real dancer doing the movement. Ring light, empty apartment, a dog asleep in the corner, all real. That footage is only the skeleton she will borrow. 3. Kling Motion Control maps the dancer's joints onto her body, frame by frame. Hair swing, fabric, weight shifting on the hips, all inherited from a human who was actually in that room. 4. Prompt the outfit and lock it to one palette. Pink sweater, pink bag, pink boots, nothing clashes because the color script is set once and reused. 5. Upscale and run a skin pass. Pores, texture, a slight sheen under the ceiling light, so she survives a full-screen zoom on a phone. 6. Generate the caption and voice from her persona file, so every post reads as one consistent girl living one consistent life, not a fresh render each time. Once the LoRA is trained, the whole clip takes 30 to 45 minutes. New plate footage in, new clip out. Here is the part that should change how you watch these. That uncanny smoothness you cannot place is not the AI being brilliant. It is a real dancer's body, quietly wearing a face that was never in the room. The apartment is real. The dog is real. She is the only thing that was never there. How the full motion-transfer pipeline is built is in the article below.
your childhood cartoons are doing TikTok dances now 😭 a stop-motion post
your childhood cartoons are doing TikTok dances now 😭 a stop-motion postman and a stop-motion firefighter. a bathroom. a viral dance. and it's genuinely hard to look away. here's why this format WORKS: → nostalgia hits before your brain even processes it → the felt, stop-motion look feels handmade, not AI → the dance moves are copied from a video that already went viral but here's the part most people will get wrong… the pages using real cartoon characters are building on someone else's IP. one copyright claim and it's gone. the play is the STYLE, not the character: STEP 1: invent your own character in a nostalgic stop-motion look STEP 2: give them a uniform people recognise instantly (postman, chef, lollipop lady) STEP 3: motion-transfer a trending dance onto them STEP 4: same character, new trend, every day
How I Created a Complete Anime Scene from 3D Model Motion 🎬⚔️🐉 This time
How I Created a Complete Anime Scene from 3D Model Motion 🎬⚔️🐉 This time, I ran the experiment with GPT‑6 Astra. I wanted to find out whether a basic 3D animation could be transformed into a cinematic anime scene while preserving the original motion. The goal was not merely to create a video that looked similar. I wanted the anime warrior to perform the same actions at the same pace and with the same camera movement. The final video places the anime version at the top and the motion source at the bottom, allowing viewers to compare them in real time. I worked inside ChatGPT Work and combined several tools, each responsible for a different stage of the process. Stage One: The Original 3D Animation I started with an eight second video featuring two grey 3D models. A sword fighter battles a large monster. He dodges its attack, strikes back and eventually brings the creature down. This video served as the motion source for the scene. It defined the body poses, sword movements, distance between the characters, pacing and camera movement. This is an important part of the process. When you want a specific movement, simply writing “the character fights” in a prompt is not enough. It is better to provide a video that shows the system exactly what the movement should look like. Stage Two: Establishing the Visual Language Before generating the anime, I defined how the film should look. I created a reference image featuring a consistent samurai character: Black hair tied back A dark blue Japanese outfit Black shoulder armor A red sash A katana I also established the design of the monster and the location. The scene takes place in a Japanese village at dusk, with cool blue lighting, warm lanterns, light mist and mountains in the background. The reference image became the visual identity sheet for the film. I returned to it throughout the process to preserve the same warrior, clothing and atmosphere. Stage Three: Turning the First Fight into Anime I uploaded the original 3D animation to Genjutsu as the driving video. Alongside it, I added the samurai and monster image as a visual reference. The 3D animation determined what the characters would do. The reference image determined how they should look. This created the first part of the film, in which the anime warrior performs the same combat actions as the grey 3D model. It is important to understand that motion transfer does not always produce a perfect match for every finger and joint. The system may still change small details, but it preserves the overall structure of the action and the camera movement. Stage Four: Building a 3D Continuation Next, I wanted to continue the story. After completing the fight, the warrior walks through the village. A dragon suddenly appears. They fight, and the warrior eventually manages to climb onto the dragon and fly with it toward the horizon. I built a new 3D scene in Higgsfield 3D Jutsu that included: A white sword fighter A white dragon with four legs and two wings A Japanese village Houses on both sides of the road A camera following the action I created an animation lasting approximately twenty seconds and rendered it as a white model video. After rendering, it became clear that the motion was not good enough. The body movements were stiff, climbing onto the dragon did not feel natural and the wing movements looked mechanical. When I transferred this footage into anime, the stiffness was transferred along with it. That was an important lesson: an attractive visual design cannot repair a weak motion foundation. I therefore rejected this version of the continuation and did not use it in the final film. Stage Five: Rebuilding the Continuation with Seedance 2.5 Instead of starting another manual animation, I used the original 3D video as the foundation for the continuation. I uploaded it to Seedance 2.5 in forward video extension mode and asked the model to begin exactly from the final frame, where the monster is lying on the ground and the warrior is standing behind it. I created a 24 second continuation and divided the action into clear time windows: From 0 to 5 seconds, the warrior recovers and walks toward the village From 5 to 8 seconds, the dragon arrives and lands in front of him From 8 to 15 seconds, the fight takes place From 15 to 19 seconds, the warrior grabs the dragon, climbs onto it and sits down From 19 to 24 seconds, the dragon pushes off the ground, spreads its wings and takes flight In the prompt, I emphasized that the system should preserve the white and grey models while creating natural human movement, planted feet, visible body weight and continuous action without sudden jumps or the warrior magically appearing on the dragon. The result was a new white motion reference that looked like a continuation of the original 3D animation. This section is a white reference video generated with an AI video model. It is not a 3D file that can be opened and edited in Blender. Stage Six: Checking the Motion Before creating the anime version, I reviewed the new motion video. I focused on four key questions: Does the walking look natural? Is there clear physical contact during the fight? Does the warrior actually climb onto the dragon rather than suddenly appearing on it? Does he remain seated during takeoff? Only after these actions appeared clearly did I move on to generating the anime version. Stage Seven: Transferring the Continuation into Anime I uploaded the white motion video to Genjutsu as the driving video. I added three visual references: The final frame of the first anime fight The samurai character reference The dragon design reference I asked the system to preserve the entire motion sequence, including the footsteps, sword movements, contact with the dragon, climbing action, seated position, wingbeats and takeoff. The white character became the established samurai. The white dragon became a blue grey dragon with pale horns and copper colored wings. The white environment became a lantern lit Japanese village beneath an evening sky. Stage Eight: Editing the Complete Film I edited the final video in Higgsedit. In the first section, I placed the anime footage at the top and the original 3D animation at the bottom. In the second section, I placed the anime continuation at the top and the white motion reference generated with Seedance 2.5 at the bottom. Both layers were set to 24 frames per second and began at exactly the same time. I did not change the speed of the anime or shift it in relation to the motion source. I connected the eight second opening fight to the 24 second continuation, creating a complete film lasting approximately 32 seconds. Stage Nine: Sound Effects and Music Finally, I added a sound layer featuring footsteps, sword movements, impacts, dragon breathing, wingbeats and the sound of takeoff. I placed cinematic music underneath the effects at a lower volume so that it supported the action without overpowering it. I then balanced all the audio layers and exported two versions: A full screen anime film A comparison video with the anime at the top and the motion source at the bottom What Did I Learn from the Process? A video like this is not created with a single click. It requires a combination of character design, visual development, motion creation, continuity testing, style transfer, editing and sound design. The 3D animation provided the motion foundation. Seedance 2.5 created the continuation. Genjutsu transformed the movement into anime. Higgsedit combined all the elements into one complete film. The most important lesson is that the quality of the anime depends first and foremost on the quality of the underlying motion. If the motion source is stiff, the anime will also look stiff. When the movement is constructed properly, AI can be used to replace the characters, style and location while preserving the same cinematic action. The transfer is still not perfectly identical in every frame, but this workflow provides far more control than generating an anime video from a text prompt alone.
⚽💃 World Cup vibes. This dance was created with our new Kling 3.0 Motion
⚽💃 World Cup vibes. This dance was created with our new Kling 3.0 Motion Control—giving you more control over every move, every beat, every frame. Try it now 🚀 https://t.co/ftN1iSuZeZ
Dancing with yourself on a rooftop 💃 but suddenly your anime twin joins
Dancing with yourself on a rooftop 💃 but suddenly your anime twin joins in 😭🔥 Would you do this challenge? 👇 GPT Image 2 and Seedance 2.0 on @VorlaAI JOIN US 👉https://t.co/AiBl04Xu9v #ai #AIvideo #AIart #CinematicAI #GenerativeAI #dance #anime https://t.co/QlR0I5VZxt
what if an ai as a live Dj performance. made with Seedance 2.0 on @YouAr
what if an ai as a live Dj performance. made with Seedance 2.0 on @YouArtStudio . the prompt : Have the Pharaoh walk across the scene, moving from the center to the left side of the screen. He should act as if he is enraged, then seamlessly transition to the right side of the https://t.co/IqB800S5ip
🕷️ How I created the Spider Swing trend 👇 1️⃣ Create your character refe
🕷️ How I created the Spider Swing trend 👇 1️⃣ Create your character reference sheet 2️⃣ Upload your character sheet + Depth Previs reference video into Seedance 2.5 3️⃣ Generate the final video in @pixazoai That's it. One character. One motion reference. One cinematic superhero shot. 🕸️ 💬 Comment "Marvel" and I'll send you the prompt + assets. #aitrend #trendingnow #spiderman