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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 👇

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STUDIO SPHYNX

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13,352 просмотров • 10 месяцев назад •via X (Twitter)

#RoboNeoTemplateChallenge
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Elvorya

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🤯 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 👇

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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.

Sophia

65,501 просмотров • 2 месяцев назад

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He picked the wrong baddie to mess with. Made with seedance 2.5 Prompt : Create a 13-second ultra-realistic cinematic action sequence set inside a messy, atmospheric urban apartment/studio filled with books, posters, scattered furniture, old equipment and warm practical lamps. Two young women in realistic casual streetwear are engaged in an intense hand-to-hand fight. Begin with a wide establishing shot showing the entire room as the confrontation starts. One woman suddenly attacks with a long wooden object, while the other quickly blocks and dodges the attack. Build the sequence with fast, believable choreography: blocking, punches, evasive movements, close-range grappling, aggressive shoves and a powerful takedown. The fighters should move naturally with realistic weight, balance and physical impact. Clothing, hair and bodies should react naturally to every movement. Use dynamic handheld cinematic camera movement, alternating between wide shots, medium tracking shots, low-angle shots and tight close-ups during impacts. Add subtle camera shake and realistic motion blur during fast movements, but keep the characters clearly visible. The room should remain consistent throughout the sequence. Bright cool daylight streams through large windows while warm orange lamps illuminate parts of the room, creating a gritty cinematic teal-and-orange contrast. Use realistic shadows, volumetric light, dust particles and reflections on the slightly polished floor. Toward the final seconds, the fight becomes more intense. One woman loses balance and is thrown to the floor. The other remains standing in the foreground, breathing heavily and maintaining a strong defensive stance as the camera settles into a dramatic final shot. Ultra-realistic human movement, authentic fight choreography, detailed facial expressions, natural skin texture, realistic hair physics, cinematic depth of field, 35mm film look, high dynamic range, realistic motion blur, dramatic practical lighting, premium Hollywood action-film cinematography, no cartoon look, no exaggerated physics, no unnatural body deformation.

Noor 🌸

15,860 просмотров • 12 дней 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.
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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.

Maercih

25,955 просмотров • 5 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)
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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)

Miko

62,206 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.
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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.

liana

17,245 просмотров • 2 месяцев 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.
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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.

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.
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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.

Heisenberg

32,111 просмотров • 5 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.
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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.

simeon-sanai

59,749 просмотров • 3 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 times
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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 times

GMI Cloud

158,687 просмотров • 1 месяц назад