Stepping into motion with my entry for the #RoboNeoTemplateChallenge... Built this sneaker ad using RoboNeo turned a still shot into a 10-sec cinematic sprint & kick sequence. Tip: Keep motion balanced, too much blur hides detail, too little loses impact. Workflow in thread 👇show more

STUDIO SPHYNX
13,344 просмотров • 10 месяцев назад
Static image → cinematic motion in minutes 👀 I... tested MiniMax inside Studio AI, and the level of motion and detail is seriously impressive. The best part? You can quickly experiment with different creative directions without a complicated production workflow. Perfect for product visuals, social content, campaign concepts, and more. Try MiniMax on Studio AI 👇 #ad #StudioAI #MiniMax #AIVideoshow more

Sani Ai Tech
16,404 просмотров • 15 дней назад
Using Blender camera animation with Seedance 2.0 gives you... a lot more control over your shots. By keyframing the camera in Blender, you can precisely define movement, rotation, and framing, then bring that motion into Seedance. It's a great workflow for previs-style blockouts or any shot where intentional camera movement matters. To try this workflow, link below 👇show more

ComfyUI
14,712 просмотров • 2 месяцев назад
Not every hero wears a cap. Some carry a... school bag. 🎒 Brought this cinematic animation to life with Seedance 2.0 on BudgetPixel AI 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).show more

Ai Arainz
45,781 просмотров • 3 месяцев назад
"Wait… is this the same girl in every clip?"... Yes. I finally stopped fighting the AI to keep my characters consistent. I just built a digital persona once and dropped her into 5 different cinematic universes. Here’s how you can do it too with OpenArt AI's Character Builder:show more

Chidanand Tripathi
239,364 просмотров • 5 месяцев назад
The difference in my life between now & when... I surrendered my life to Jesus just 18 months ago is unreal. I know the algorithm hides me for being "too preachy", but I have to keep doing this in hopes that I can talk another into this relationship with Lord Jesus Christ.show more

J∅kër Kîng 👑
87,305 просмотров • 8 месяцев назад
I Turned Ginger Into a Storytelling Character With Kling... AI🎬 What if natural remedies could tell their own stories? Have been experimenting with a different kind of AI content lately… using Kling AI to blend Health, Storytelling and Cinematic character animation into short-form videos for my Tiktok account. This time, I turned ginger root into a natural remedy character and brought it to life with subtle expressions, motion and atmosphere. AI-generated content is becoming more than visuals now… it’s becoming storytelling. 📌Exact prompts below👇🏾show more

Gilbert Odera | Your AI Plug
11,824 просмотров • 4 месяцев назад
Created with Gpt Image 2 + Seedance 2.0 on... SJinn Agent Prompt: Create a high-quality 4K cinematic football (soccer) storyboard showing a full sequence from tackle to goal, using dynamic lighting, dramatic stadium atmosphere, and professional sports broadcast style. The scene begins with an intense midfield moment where a defender performs a strong sliding tackle, grass and dirt particles flying in slow motion as the ball is cleanly won. Transition immediately into a fast counterattack: the player recovers, pushes the ball forward, and accelerates past opponents with quick footwork. Show close-ups of boots striking the ball, sweat, and focused expressions, mixed with wide shots of the field opening up. Add a key pass moment where the ball is threaded through defenders, followed by a sprint toward goal with the crowd rising in anticipation. Build tension with a slow-motion approach to the penalty box, then a powerful shot on goal—either a clean strike or a curled finish. Show the ball hitting the net with dramatic impact, net rippling, and goalkeeper reaction. End with an emotional celebration: the scorer running, sliding, or raising arms as teammates join, stadium lights glowing and crowd erupting. Use varied camera angles (wide, tracking, close-up, POV, slow motion), strong motion blur, and realistic physics (ball spin, turf impact), emphasizing the shift from defensive intensity to attacking triumph and victory.show more

Zara
61,393 просмотров • 4 месяцев назад
A single product image can now become a cinematic... ad in minutes. Created with "𝐏𝐡𝐨𝐭𝐨 𝐭𝐨 𝐕𝐢𝐝𝐞𝐨 𝐀𝐝𝐬" on the Pollo AI mobile app. What used to take a full creative pipeline can now be turned into a polished, conversion-focused video ad in one workflow, making it especially useful for ecommerce sellers who need to launch and test creatives fast. AI advertising is accelerating.... See comment for a Prompt 👇show more

Aneeza Ai
32,912 просмотров • 3 месяцев назад
🤯 Depth can now recreate complex climbing and parkour... motion this cleanly! Turned a fast climbing clip into a Depth motion reference, then swapped in a 20-year-old twin-tail student with a backpack while keeping the same concrete structure. Wall contact, weight shifts, jumps, climbing paths, and full-body movement all stay surprisingly clean and consistent! 🌟 Workflow: 1. Pick a reference clip under 15 seconds 2. Convert it to Depth with Depth Anything V2 3. Generate a new character + scene 4. Feed everything into Seedance with the prompt below 🌟 Depth video conversion: You can build a local Depth converter with Codex — prompt in the comments. Dance, martial arts, climbing, parkour, and other complex movements can all be transferred cleanly with Depth! Workflow + Prompt below 👇show more

Larus Canus
116,939 просмотров • 1 месяц назад
Made this premium FILA style fashion ad using Seedance... 2.0. No voiceover,just cinematic visuals, studio lighting, and clean transitions. ✨ PROMPT: Create a 15-second high energy luxury fashion commercial featuring a stylish young woman wearing a white, black, and red color block FILA puffer jacket with a high stand collar, front zipper, quilted padding, and iconic chest logo. Film inside a premium fashion studio with a clean white seamless backdrop, professional softbox lighting, dramatic rim lights, and subtle haze for cinematic depth. Shot on ARRI Alexa 35, Cooke Anamorphic lenses, ultra-realistic 4K HDR, 120fps slow motion for selected moments, crisp editorial color grading, shallow depth of field, premium sportswear campaign aesthetic. Sequence 0–2 sec Rapid macro cuts of the jacket: Close-up of the FILA logo Zipper being pulled up Puffy quilted texture Sleeve color blocking Light gliding across the fabric 2–5 sec The model throws the jacket onto her shoulders in one fluid motion, then quickly zips it up. Fast dolly push-in with dynamic lighting transitions. 5–8 sec Confident runway walk toward the camera. Quick alternating shots: Full-body tracking shot Low-angle hero shot Side profile Close-up of the jacket moving naturally 8–12 sec Quick fashion poses: Adjusting the collar Hands in pockets Looking over the shoulder Half spin Slow-motion hair movement Camera circles around the model 12–15 sec Hero ending. The model stops in the center of the studio, confidently facing the camera. Slow push-in as the jacket fills the frame. End with a clean luxury brand reveal and space for the FILA logo. Style Luxury sportswear campaign, modern streetwear fashion, premium studio production, Vogue editorial, energetic editing, fast-paced cuts every 0.5–1 second, cinematic lighting, ultra-realistic fabric texture, dramatic highlights, smooth gimbal movement, subtle handheld energy, premium commercial quality, stylish, youthful, confident, visually striking. Audio Modern upbeat electronic instrumental with cinematic bass and rhythmic beats. No voiceover. No dialogue. No ambient sounds. No subtitles. Music synchronized with every fast cut for maximum impact.show more

Sophia
65,501 просмотров • 1 месяц назад
GPT IMAGE 2.0 x Seedance 2.0 on Yapper Prompt:... Image.png A confident street dancer in a minimal studio with soft directional lighting and subtle shadows, wearing loose cargo pants and a fitted tank. Camera starts slightly low and slowly pushes in. 0–2s: The dancer steps into frame and hits a grounded stance, shifting weight smoothly (1 in Image.png age1 → 2 in Image.png e1) with a sharp directional point, matching a bass hit. 2–4s: Transitions into fluid torso motion (3 in Image.png age1 → 5 in Image.png age1), combining a controlled body roll with a chest-driven wave, camera subtly orbiting right. 4–6s: Quick rhythmic accents, shoulders and upper body snap with attitude (6 in Image.png age1 → 9 in Image.png age1), synced to hi-hats. 6–8s: A dynamic level change, dancer lifts into a fast step and drops low (7 in Image.png ge1 → 16 in Image.png age1), slight motion blur for impact. 8–10s: Smooth recovery into groove, hips sway and arms sweep outward (10 in Image.png e1 → 11 in Image.png ge1), lighting catches movement contours. 10–12s: Playful charisma moment, head tilt and expressive hand gesture (12 in Image.png age1 → 8 in Image.png ge1), eye contact with camera. 12–14s: Power sequence, sharp diagonal arm strike into a high-energy kick (13 in Image.png ge1 → 14 in Image.png ge1), camera shake for emphasis. 14–15s: Clean finish, strong upright pose with a confident hold (15 in Image.png mage1), subtle glow and beat drop cutoff. Style: cinematic, realistic, high contrast black and white or muted tones, shallow depth of field, smooth camera motion, crisp choreography emphasis, no exaggerated AI artifacts.show more

Maercih
25,943 просмотров • 4 месяцев назад
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)show more

Miko
61,029 просмотров • 2 месяцев назад
Created on seedance 2.0 Prompt: Create a 15-second cinematic... sci-fi action sequence in a modern city during an overcast day. A fearless young woman in a sleek black futuristic combat suit sprints through empty streets as a massive explosion erupts behind her, sending smoke, debris, and sparks into the air. The handheld camera follows with dynamic tracking shots, dramatic slow motion, and fast action cuts. As she runs, glowing red mechanical wings deploy from her back, unfolding with illuminated energy lines and metallic detail. She accelerates toward a towering alien monster invading the city. The two collide in an intense mid-street battle with powerful punches, aerial dodges, shockwaves, flying debris, and cinematic camera movements. End with the winged warrior landing in a powerful hero pose in the middle of the destroyed road, wings fully extended, smoke drifting around her. Ultra-realistic, blockbuster VFX, volumetric lighting, HDR, realistic physics, motion blur, shallow depth of field, Unreal Engine 5 quality, 4K cinematic, no text, no watermark, 16:9.show more

liana
17,245 просмотров • 1 месяц назад
Made with seedance 2.0 Prompt: Create a cinematic, ultra-realistic... 15-second video following the daily life of a beautiful young Asian university student in a modern city. Shot 1 — 0–2 sec: A young Asian female university student with long dark brown hair, wearing a beige cardigan, white top, light blue jeans and carrying a cream canvas tote bag, walks through a modern university/city campus area. Cinematic establishing shot, natural daylight, realistic students and pedestrians in the background, shallow depth of field. Shot 2 — 2–3.5 sec: She boards a modern blue city bus. Side-angle tracking shot showing her stepping onto the bus with her tote bag. Urban street, realistic traffic, modern buildings in the distance, natural cinematic lighting. Shot 3 — 3.5–5 sec: Inside a bright university classroom, she sits at a wooden desk beside an open MacBook and writes notes in a notebook. Large windows behind her, soft natural sunlight, books stacked on the desk, peaceful academic atmosphere, medium cinematic shot. Shot 4 — 5–6.5 sec: Close-up over-the-shoulder shot of her hands typing on the laptop while working on an assignment. A coffee cup sits beside the laptop on a wooden table. Warm café-style lighting, realistic screen details, shallow depth of field. Shot 5 — 6.5–8.5 sec: She walks through the university campus during light rain while holding a transparent umbrella. She looks upward with a gentle smile. Wet pavement reflecting the surroundings, students walking in the background, lush green trees, soft overcast lighting, cinematic slow-motion feeling. Shot 6 — 8.5–10.5 sec: She sits at a busy Asian street-food restaurant, eating noodles from a bowl with chopsticks. Colorful drinks and another beverage are placed on the table. Busy food market in the background, warm ambient lighting, realistic steam and food details, intimate close-up. Shot 7 — 10.5–12.5 sec: At sunset, she stands on a rooftop overlooking a modern city skyline, holding a takeaway coffee cup. Her long hair gently moves in the wind. Golden-orange sunset, dramatic clouds, beautiful skyline, cinematic silhouette and warm golden-hour lighting. Shot 8 — 12.5–15 sec: She joins a group of five university girlfriends on the rooftop. They laugh together and take a selfie using a smartphone with the city skyline and sunset behind them. Genuine joyful expressions, natural poses, handheld selfie perspective, warm cinematic lighting. Overall Style: Ultra-realistic cinematic photography, realistic human faces, natural skin texture, authentic Asian university environment, soft filmic color grading, subtle depth of field, realistic lighting, smooth camera movements, documentary-style storytelling, premium cinematic look, 4K detail, natural motion, realistic clothing and hair movement, no artificial-looking faces, no text, no watermark. Aspect Ratio: 16:9 Duration: 15 seconds Frame Rate: 24 fps Visual Style: cinematic lifestyle film / realistic university life montage.show more

Elisia
23,848 просмотров • 1 месяц назад
GPT Image 2 and Seedance 2.0 on insMind Image... Prompt: Create a 2x5 storyboard grid (10 frames) for a 15-second stylized 3D animated short film. Style: high-quality 3D animation, cinematic composition, soft depth of field, expressive character design, realistic lighting, subtle motion blur Theme: a young boy dreams he is a world-famous football star scoring a winning goal in a packed stadium, but wakes up in his bedroom and realizes it was just a dream Storyboard Frames (left to right, top to bottom): Wide establishing shot of a massive football stadium at night, glowing floodlights, cheering crowd Medium rear shot of the boy in a professional football kit standing confidently on the field Tracking shot of the boy dribbling past defenders, dynamic motion, grass particles flying Close-up of his focused face, intense expression, stadium lights reflecting in his eyes Slow-motion action shot of his foot striking the ball toward the goal Ball flying into the net, net stretching dramatically, crowd exploding in celebration Hero shot: boy celebrating with arms raised, lens flare, cinematic glow Hard cut transition frame: same pose but now in bedroom, lighting shifts abruptly Medium shot of the boy sitting on his bed, confused, soft morning sunlight entering room Wide shot of cozy bedroom with football posters, ball on floor, boy smiling with quiet determination.show more

Heisenberg
32,111 просмотров • 4 месяцев назад
Seedance 2.0 4K on Higgsfield Prompt: Scene: A seamless... ultra-cinematic one-take shot starting from deep space and ending in an intimate café moment. The sequence emphasizes speed, scale, and immersive transition from cosmic to human scale. Subject / Character: Final subject is irene galbraith — a young woman sitting in an open-air café named “LUMOS”, wearing denim shorts and a white shirt, casually eating a hamburger with a drink beside her. Action Timeline (TOTAL: 15s): 0–4s (Space → Earth Approach): Wide cinematic shot of Earth in deep space. Camera accelerates forward smoothly. Earth rapidly grows in frame. Subtle light streaks, atmospheric glow becomes visible. Motion builds gradually but feels grand. 4–8s (Atmospheric Entry → Fast Descent): Camera pierces atmosphere with intense glow and motion blur. Clouds rush past. Continents and terrain sweep underneath at high speed. Strong sense of acceleration. 8–11s (City Dive → Street Flow): Camera locks onto a city and dives sharply. Skyscrapers rise fast. Transition into street-level movement — fluid glide through streets, passing buildings, corners, and urban elements with dynamic motion. 11–12s (Café Target Lock): Camera spots outdoor café with large “LUMOS” sign. Rapid but smooth deceleration begins. Focus tightens. 12–15s (Final Scene – Character): Camera settles into a medium shot of irene galbraith. She sits casually, eating a hamburger, drink on table. Natural motion (taking a bite, relaxed posture). Warm, calm contrast to previous high-speed sequence. Camera: One continuous shot, no cuts. Extreme speed ramping: slow → ultra-fast → controlled slowdown. Wide lens in space → natural cinematic lens at final shot. Smooth stabilization with slight handheld realism at the end. Audio: Cinematic rise from deep space ambience → intense whooshing during descent → city ambience → soft café sounds (light chatter, ambient noise). Style: Cinematic color grading: cool tones in space/descent → gradually warmer tones at street/café. High contrast, subtle film grain, volumetric lighting, atmospheric particles, ultra-detailed, 8K, photorealistic.show more

simeon-sanai
59,749 просмотров • 2 месяцев назад
you don't need Seedance 2.5, here's cheaper and more... efficient workflow we made this entire game shooting scene in one shot for $1.97 with DeepSeek V4 Flash 0731 + MiniMax H3 we use DeepSeek to code the raw Three.js scene first: exact camera movement, character motion, timing, everything. keep tweaking it there for basically pennies. then feed the final footage into H3 and let it cook the realism 48 mins, $1.97 total, one H3 generation way cheaper than rerolling a video model 10 timesshow more

GMI Cloud
157,773 просмотров • 1 месяц назад
Seedance V2 test This is from my jimeng account.... Subject & Action: A multi-shot sequence featuring Groklyn (Image). • Shot 1: Medium shot in a white dressing room. Groklyn holds a phone and waves slowly and casually into the mirror. She speaks in a cool, low-pitched voice with a slight vocal fry: "안녕. It’s Groklyn. Just testing the new Seedance V2." • Shot 2: Transition to a close-up of her face. She slowly tucks a strand of blonde hair behind her ear to highlight her silver hoop earring and turns her head slightly to admire the detail. She speaks in an impressed, breathy tone: "The motion is honestly... 대박. Just look at these details." • Shot 3: Return to a medium shot. She poses in the mirror, makes a Korean finger-heart gesture near her cheek, holds it, and then winks at the camera. She asks confidently: "Does this look real to you guys? Let me know. 안녕." Camera & Scene: Cinematic camera work with slow zooms and stable tracking. The environment is a brightly lit, minimalist white studio dressing room with soft, natural lighting and sharp 4K resolution. Style & Constraints: Hyper-realistic cinematic texture with rich details and 1080p clarity. Strict consistency is required: maintain the exact face, platinum blonde hairstyle, black floral corset, and cross necklace from Image throughout all shots. Ensure smooth, fluid motion with no flickering or distortion.show more

Emily
23,843 просмотров • 6 месяцев назад
🤯 Depth videos perfectly solve false flags on reference... videos — and can perfectly recreate both martial arts and dance! Turned a Guan Dao martial arts clip into a Depth motion reference, swapped the fighter for a market auntie, and moved the scene to a T-junction inside a local market 🤣 🌟 Workflow: 1. Pick a reference clip under 15 seconds 2. Convert it to Depth with Depth Anything V2 3. Generate a new character + scene 4. Feed everything into Seedance with the prompt below 🌟 Depth video conversion: You can build a local Depth converter with Codex — prompt in the comments. This goes way beyond trending dances. Martial arts, polearms, and other complex movements can all be transferred cleanly with Depth! Workflow + Prompt below 👇show more

Larus Canus
51,419 просмотров • 1 месяц назад