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Let me share my current Seedance 2 workflow You can also copy this base template to your Claude and teach him to prompt on Seedance 2 [CINEMATIC SETUP] [Film stock / lens / aperture / camera behavior]. [Color grade]. [Lighting source]. [Atmosphere]. [Audio: sound FX only / no music].... show more

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Ok, this is absurd. You can choreograph a complex action scene in Blender with basic shapes, then let Seedance make it real. You need to try this AI filmmaking workflow: 1. Generate a start frame in Midjourney 2. Block out the action in Blender 3. Feed both to Seedance My Blender reference was just rough timing, camera shake, and spatial choreography, and Seedance tracked the speed, motion, and action way better than I expected. This is the difference between describing a shot and directing one.

Ok, this is absurd. You can choreograph a complex action scene in Blender with basic shapes, then let Seedance make it real. You need to try this AI filmmaking workflow: 1. Generate a start frame in Midjourney 2. Block out the action in Blender 3. Feed both to Seedance My Blender reference was just rough timing, camera shake, and spatial choreography, and Seedance tracked the speed, motion, and action way better than I expected. This is the difference between describing a shot and directing one.

Reid Hannaford

523,214 views • 1 month ago

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you *direct* the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

🎬 Want to create cinematic AI videos in seconds? Here’s exactly how I do it using Seedance 2.0 on Yapper: Most people get this wrong… your results depend on how well you direct the AI. Here’s the workflow 👇 ✅ Step 1: Open Yapper Go to Create → Video ✅ Step 2: Choose your model Select Seedance 2.0 This model delivers smooth motion, dynamic camera angles, realistic lighting, and strong scene consistency. ✅ Step 3: Write a strong prompt Your prompt is your director. Be specific: Camera movement (pan, zoom, tracking shot) Lighting (golden hour, neon, soft shadows) Environment (city, desert, luxury interior) ✅ Step 4: Add a reference image (optional) Use this to guide style, composition, or subject for more control and consistency. ✅ Step 5: Hit Generate In seconds, your idea turns into a cinematic sequence. 🚀 Pro tip: If it’s not perfect, tweak your prompt — small changes = big difference. From idea → cinematic video in seconds.

Kuria | AI

43,685 views • 3 months ago

i built a way to make full ai films with seedance 2.5 + higgsfield without shooting a single frame in real life you start with a screenplay, a treatment, or even just an idea and it gives you an actual production plan: scenes, shots, character references, locations, dialogue, b-roll, sound, captions, everything you need to turn it into a finished film this was supposed to stay internal but f*ck it, i’m sharing the whole workflow here’s how it works: the script gets broken down scene by scene, then every scene gets turned into a proper shot list with prompts that account for character continuity, wardrobe, lighting, locations, camera movement, pacing, and what needs to happen before and after that shot those prompts get run through seedance 2.5, using reference assets and longer generations to keep the film feeling like one world instead of a thousand random ai clips stitched together then the footage gets assembled with voice, sound design, music, dialogue, captions, and transitions into an actual watchable film the whole system is built to take you from script to a finished film seedance 2.5 is coming soon on higgsfield, but i’m sharing the full breakdown before it so you can be prepared: the script-to-scene system that turns a screenplay into a real production plan seedance 2.5 prompt setup for cinematic shots and consistent characters the reference-asset workflow for keeping faces, wardrobe, locations, and visual style locked in the editing, voice, sound, and caption workflow that turns generated clips into a finished movie RT + reply “FILM” and (i’ll send it over must follow so i can dm)

i built a way to make full ai films with seedance 2.5 + higgsfield without shooting a single frame in real life you start with a screenplay, a treatment, or even just an idea and it gives you an actual production plan: scenes, shots, character references, locations, dialogue, b-roll, sound, captions, everything you need to turn it into a finished film this was supposed to stay internal but f*ck it, i’m sharing the whole workflow here’s how it works: the script gets broken down scene by scene, then every scene gets turned into a proper shot list with prompts that account for character continuity, wardrobe, lighting, locations, camera movement, pacing, and what needs to happen before and after that shot those prompts get run through seedance 2.5, using reference assets and longer generations to keep the film feeling like one world instead of a thousand random ai clips stitched together then the footage gets assembled with voice, sound design, music, dialogue, captions, and transitions into an actual watchable film the whole system is built to take you from script to a finished film seedance 2.5 is coming soon on higgsfield, but i’m sharing the full breakdown before it so you can be prepared: the script-to-scene system that turns a screenplay into a real production plan seedance 2.5 prompt setup for cinematic shots and consistent characters the reference-asset workflow for keeping faces, wardrobe, locations, and visual style locked in the editing, voice, sound, and caption workflow that turns generated clips into a finished movie RT + reply “FILM” and (i’ll send it over must follow so i can dm)

Sulfur

47,302 views • 5 days ago

📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

📖THE SEEDANCE 2.0 PROMPT FORMAT THAT NOBODY IS USING BUT EVERYONE SHOULD Most people use Seedance 2.0 wrong. They type a normal prompt and wonder why the result looks generic. The difference between these two visuals isn't a better idea — it's a better prompt format. Normal prompt gives you a good result. JSON prompt gives you a cinematic one. Here's why it works: A normal prompt describes what you want. A JSON prompt tells Seedance exactly how to build the scene — camera movement, lighting angle, atmosphere, texture, depth, timing. You're not asking for a video. You're engineering one. The crystal dolphin jumping above an ancient courtyard with floating jellyfish — same concept, two completely different outputs. The JSON version has golden hour, dramatic clouds, volumetric light, and a sense of scale the normal prompt never reached. The glowing lotus fountain — same story. Normal prompt gives you a clean render. JSON gives you a full cinematic frame with layered depth, warm lantern light, and a composition that looks like it belongs in a feature film. The workflow that produces this: • Step 1 — Write your scene idea in plain language first •Step 2 — Ask Claude to convert it into a structured JSON prompt with fields for: subject, environment, camera, lighting, mood, motion, color grade • Step 3 — Paste the JSON into Seedance 2.0 • Step 4 — Take the best clip into Premiere Pro for final color correction and sound design The tools are free or cheap. The knowledge of how to prompt is what separates the results. This is the gap most creators never close. 📥 BACK TOMORROW. There will be new life hacks 🔖 The full guide is pinned below. Save it before you need it.

Zentrix⌚️

136,152 views • 1 month ago

POV: You don't need a film crew to make a World Cup commercial anymore. From a simple idea to a cinematic football story—powered entirely by AI. Made with Kling 3.0 on Pollo AI Prompt: PART 1 (0:00–0:15) | 16:9 | Cut Scenes 0:00–0:03 | Wide Living Room Camera: Slow handheld dolly-in. TV visible behind Jessy. Action: Jessy lounges watching Argentina vs Brazil, tosses popcorn at the TV after a bad pass. Dialogue: Jessy: "Come on!" Audio: Stadium crowd, commentator, room ambience. 0:03–0:06 | Over-the-Shoulder Camera: Medium OTS toward the TV. Action: The player stops, looks directly at Jessy, smiles. She grabs the remote. Dialogue: Jessy: "Wait... me?" Audio: Crowd softens, remote click. 0:06–0:10 | TV Exit Camera: Medium-wide tracking shot. Action: TV ripples like water as the player steps into the living room. Jessy freezes. Dialogue: Player: "Nice place." Audio: Water ripple, boots on floor, TV commentary. 0:10–0:15 | Couch Camera: Medium two-shot. Action: Jessy quietly sits back as the player casually joins her on the couch. Dialogue: Jessy: "...Okay." Audio: Stadium ambience. Cut. PART 2 (0:15–0:30) | Cut Scenes 0:15–0:18 | Watching Together Camera: Medium two-shot. Action: They watch the match in silence. Dialogue: Player: "Brazil's shaky." Jessy: "Yeah..." Audio: TV crowd and commentary. 0:18–0:21 | Realization Camera: Alternating close-ups. Dialogue: Jessy: "You're playing." Player: "Break time." Audio: Stadium crowd building. 0:21–0:25 | Goal Celebration Camera: Handheld whip-pan. Action: Argentina scores. The player jumps up, sending popcorn everywhere. Dialogue: Player: "GOAL!... Oops." Jessy: "Seriously?" Audio: Massive crowd roar, popcorn scattering. 0:25–0:30 | Hallway Camera: Follow, then slow pullback to wide. Action: The player heads toward the hallway. Jessy watches the TV—his position on the pitch is empty. Dialogue: Player: "Bathroom?" Jessy: "Second left." Jessy (to herself): "...Sure." Audio: Boots clicking, TV commentary, fade to black. #PolloAI #BringTheWorldCupHome #WorldCup2026

POV: You don't need a film crew to make a World Cup commercial anymore. From a simple idea to a cinematic football story—powered entirely by AI. Made with Kling 3.0 on Pollo AI Prompt: PART 1 (0:00–0:15) | 16:9 | Cut Scenes 0:00–0:03 | Wide Living Room Camera: Slow handheld dolly-in. TV visible behind Jessy. Action: Jessy lounges watching Argentina vs Brazil, tosses popcorn at the TV after a bad pass. Dialogue: Jessy: "Come on!" Audio: Stadium crowd, commentator, room ambience. 0:03–0:06 | Over-the-Shoulder Camera: Medium OTS toward the TV. Action: The player stops, looks directly at Jessy, smiles. She grabs the remote. Dialogue: Jessy: "Wait... me?" Audio: Crowd softens, remote click. 0:06–0:10 | TV Exit Camera: Medium-wide tracking shot. Action: TV ripples like water as the player steps into the living room. Jessy freezes. Dialogue: Player: "Nice place." Audio: Water ripple, boots on floor, TV commentary. 0:10–0:15 | Couch Camera: Medium two-shot. Action: Jessy quietly sits back as the player casually joins her on the couch. Dialogue: Jessy: "...Okay." Audio: Stadium ambience. Cut. PART 2 (0:15–0:30) | Cut Scenes 0:15–0:18 | Watching Together Camera: Medium two-shot. Action: They watch the match in silence. Dialogue: Player: "Brazil's shaky." Jessy: "Yeah..." Audio: TV crowd and commentary. 0:18–0:21 | Realization Camera: Alternating close-ups. Dialogue: Jessy: "You're playing." Player: "Break time." Audio: Stadium crowd building. 0:21–0:25 | Goal Celebration Camera: Handheld whip-pan. Action: Argentina scores. The player jumps up, sending popcorn everywhere. Dialogue: Player: "GOAL!... Oops." Jessy: "Seriously?" Audio: Massive crowd roar, popcorn scattering. 0:25–0:30 | Hallway Camera: Follow, then slow pullback to wide. Action: The player heads toward the hallway. Jessy watches the TV—his position on the pitch is empty. Dialogue: Player: "Bathroom?" Jessy: "Second left." Jessy (to herself): "...Sure." Audio: Boots clicking, TV commentary, fade to black. #PolloAI #BringTheWorldCupHome #WorldCup2026

Jessica Collins

43,567 views • 1 month ago

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Zentrix⌚️

45,250 views • 18 days ago

This is no routine AI‑video iteration. One model perceives scene‑level physics rather than simple pixel generation, and that is Seedance Enterprise 2.5. Creators no longer need dozens of rerolls. Most usable footage only demands 1‑2 generations, lowering overall spending and streamlining creation. It delivers AI‑free lifelike visuals, cinematic‑level lighting and camera movement, 30-second single-shot generation to orchestrate complete scene‑wide narratives. Accepts up to 50 reference inputs, so your characters and visual style stay perfectly locked across every single frame. With localized editing, the individual elements can be edited locally without re-rendering the entire video. I’ve been building a full creative pipeline on BytePlus Lumina, chaining Seedance for motion with Seedream for keyframe control and Seedaudio for adaptive soundscapes. It’s no longer about generating clips; it’s about directing scenes. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

This is no routine AI‑video iteration. One model perceives scene‑level physics rather than simple pixel generation, and that is Seedance Enterprise 2.5. Creators no longer need dozens of rerolls. Most usable footage only demands 1‑2 generations, lowering overall spending and streamlining creation. It delivers AI‑free lifelike visuals, cinematic‑level lighting and camera movement, 30-second single-shot generation to orchestrate complete scene‑wide narratives. Accepts up to 50 reference inputs, so your characters and visual style stay perfectly locked across every single frame. With localized editing, the individual elements can be edited locally without re-rendering the entire video. I’ve been building a full creative pipeline on BytePlus Lumina, chaining Seedance for motion with Seedream for keyframe control and Seedaudio for adaptive soundscapes. It’s no longer about generating clips; it’s about directing scenes. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

SANI BULA

174,790 views • 4 days ago

$i just figured out the best way to use Seedance 2.5 latest model from ByteDance lets you generate up to 30 second continuous videos and accepts up to 50 reference assets (images, videos and audio) all in one generation most people overcomplicate it, the real trick is in the details my prompt structure looks like this: [1] global scene + visual style [2] character descriptions [3] timestamped storyboard (0-5s, 5-10s, 10-15s...) [4] camera movement [5] negative prompts [6] ending constraints for example, instead of saying: "girl doing her skincare routine with x product" you tell it exactly what happens every few seconds, where the camera moves, how the emotion changes, what should never appear i put together the exact framework i use and leaking it all to you right now here's what you're getting: > the prompt formula for 30-second videos > how to Use Seedance 2.5 at a fraction of the cost > the best way to use reference images/videos > transitions, camera movements and negative prompts RT + reply "SEEDANCE" and i'll send it over (must follow so i can dm)$

i just figured out the best way to use Seedance 2.5 latest model from ByteDance lets you generate up to 30 second continuous videos and accepts up to 50 reference assets (images, videos and audio) all in one generation most people overcomplicate it, the real trick is in the details my prompt structure looks like this: [1] global scene + visual style [2] character descriptions [3] timestamped storyboard (0-5s, 5-10s, 10-15s...) [4] camera movement [5] negative prompts [6] ending constraints for example, instead of saying: "girl doing her skincare routine with x product" you tell it exactly what happens every few seconds, where the camera moves, how the emotion changes, what should never appear i put together the exact framework i use and leaking it all to you right now here's what you're getting: > the prompt formula for 30-second videos > how to Use Seedance 2.5 at a fraction of the cost > the best way to use reference images/videos > transitions, camera movements and negative prompts RT + reply "SEEDANCE" and i'll send it over (must follow so i can dm)

MAX

91,444 views • 8 days ago

I just turned one prompt into a full cinematic action scene using Yapper 👀 No camera. No actors. No studio. Just AI. Built this with Seedance 2.0 on Yapper. Here’s the exact prompt I used ↓ Cinematic action: a woman enters a dark warehouse, fights five masked villains. Fast, brutal choreography. Rain. Dramatic lighting. Mid-fight, a glitch reveals she’s a robot; she dominates them all. Final twist: snipers target her — “Limiters OFF.” And here’s the crazy part: Yapper is literally paying creators for this: • $1–$2 CPM • Weekly payouts • Up to $1,000 per post • Free credits + early access You create → you post → you get paid. I’m already testing it. Who’s joining? 👇

I just turned one prompt into a full cinematic action scene using Yapper 👀 No camera. No actors. No studio. Just AI. Built this with Seedance 2.0 on Yapper. Here’s the exact prompt I used ↓ Cinematic action: a woman enters a dark warehouse, fights five masked villains. Fast, brutal choreography. Rain. Dramatic lighting. Mid-fight, a glitch reveals she’s a robot; she dominates them all. Final twist: snipers target her — “Limiters OFF.” And here’s the crazy part: Yapper is literally paying creators for this: • $1–$2 CPM • Weekly payouts • Up to $1,000 per post • Free credits + early access You create → you post → you get paid. I’m already testing it. Who’s joining? 👇

ZAYVEN KNOX

77,658 views • 3 months ago

A very simple action scene shot correctly: 1 - Actors always in focus 2 - Scene is cluttered and yet blocked in such a way to have actors clear against the environment 3 - Camera never shakes except when kicked by Scorpion 4 - Cuts only when Cage is hit, never when Scorpion, giving rhe idea that Scorpion is barely getting hurt. 5 - Choreography and camera movements were measured and decided accurately, you can't waste film 6 - The light is behind the actors, but no glare or lens flare makes the actors perfectly visible 7 - The light is strong as it should be 8 - Cage is on the right and Scorpion in the left, in every shot. This used to be standard

A very simple action scene shot correctly: 1 - Actors always in focus 2 - Scene is cluttered and yet blocked in such a way to have actors clear against the environment 3 - Camera never shakes except when kicked by Scorpion 4 - Cuts only when Cage is hit, never when Scorpion, giving rhe idea that Scorpion is barely getting hurt. 5 - Choreography and camera movements were measured and decided accurately, you can't waste film 6 - The light is behind the actors, but no glare or lens flare makes the actors perfectly visible 7 - The light is strong as it should be 8 - Cage is on the right and Scorpion in the left, in every shot. This used to be standard

VIKARE

672,063 views • 2 years ago

Zero VFX experience. Just Claude, Seedance 2.0, and a phone clip. The result looks like a $10M scene In this tutorial you'll learn how to create cinematic AI VFX from your own real footage — no green screen, no masking, no compositing, no render times. Claude doesn't touch the video — it reads your clip frame by frame and writes the prompt, locking your face, camera move, light, and gestures, then naming the one thing to change and when. That prompt goes into Seedance 2.0, which only touches what was named. That's the trick. You're not describing an effect and hoping the AI gets it. Claude studies the footage first and hands Seedance a locked, precise instruction — which is why a hand can morph mid-sentence with zero visible cut, or neon reflections land on the dashboard automatically, with nothing graded by hand. One clip in, one sentence to Claude, one prompt into Seedance 2.0 — and out comes a shot that would normally cost a studio a month. ▪ 00:00 Intro ▪ 01:28 The 3 levels of AI VFX ▪ 01:59 Level 1 — Swapping the world (walking) ▪ 04:32 Level 2 — Changing an element ▪ 07:26 Level 3 — The handheld showcase ▪ 10:15 Outro YouTube: "Higgsfield AI - I Added Insane AI VFX to Real Footage in 4K(Seedance 2.0)" Thank you for sharing this free tutorial with us. It is invaluable information.

Zero VFX experience. Just Claude, Seedance 2.0, and a phone clip. The result looks like a $10M scene In this tutorial you'll learn how to create cinematic AI VFX from your own real footage — no green screen, no masking, no compositing, no render times. Claude doesn't touch the video — it reads your clip frame by frame and writes the prompt, locking your face, camera move, light, and gestures, then naming the one thing to change and when. That prompt goes into Seedance 2.0, which only touches what was named. That's the trick. You're not describing an effect and hoping the AI gets it. Claude studies the footage first and hands Seedance a locked, precise instruction — which is why a hand can morph mid-sentence with zero visible cut, or neon reflections land on the dashboard automatically, with nothing graded by hand. One clip in, one sentence to Claude, one prompt into Seedance 2.0 — and out comes a shot that would normally cost a studio a month. ▪ 00:00 Intro ▪ 01:28 The 3 levels of AI VFX ▪ 01:59 Level 1 — Swapping the world (walking) ▪ 04:32 Level 2 — Changing an element ▪ 07:26 Level 3 — The handheld showcase ▪ 10:15 Outro YouTube: "Higgsfield AI - I Added Insane AI VFX to Real Footage in 4K(Seedance 2.0)" Thank you for sharing this free tutorial with us. It is invaluable information.

Zentrix⌚️

28,606 views • 16 days ago

AI video is finally reaching the point where it's reliable enough for real production. After testing Seedance Enterprise 2.5, the biggest improvement for me wasn't just the cinematic quality—it was the much lower "gacha rate." Most of my shots were usable in just 1–2 generations, instead of spending 10+ retries like I often do with other models. That means lower compute costs, faster iteration, and a much smoother creative workflow. The realism also stood out. Natural lighting, believable physics, and intentional camera movement made the results feel far more cinematic right out of the box. Beyond quality, the feature set is built for real projects: generate up to 30-second single-shot videos, use up to 50 image, video, and audio references for better consistency, make localized edits without redoing the entire scene, and work across multiple languages. I can also see Seedream fitting naturally into this workflow for creating strong visual references before bringing them to life with Seedance 2.5. Seedance2.5 API is about to launch on BytePlus, and Lumina will also roll out Seedance2.5 soon.

AI video is finally reaching the point where it's reliable enough for real production. After testing Seedance Enterprise 2.5, the biggest improvement for me wasn't just the cinematic quality—it was the much lower "gacha rate." Most of my shots were usable in just 1–2 generations, instead of spending 10+ retries like I often do with other models. That means lower compute costs, faster iteration, and a much smoother creative workflow. The realism also stood out. Natural lighting, believable physics, and intentional camera movement made the results feel far more cinematic right out of the box. Beyond quality, the feature set is built for real projects: generate up to 30-second single-shot videos, use up to 50 image, video, and audio references for better consistency, make localized edits without redoing the entire scene, and work across multiple languages. I can also see Seedream fitting naturally into this workflow for creating strong visual references before bringing them to life with Seedance 2.5. Seedance2.5 API is about to launch on BytePlus, and Lumina will also roll out Seedance2.5 soon.

𝐍𝐚𝐯𝐞𝐞 𝐀𝐢

14,456 views • 6 days ago

Just tried Seedance 2.5 on Pollo AI and pushed it into a 30-second cinematic sequence. 🎬 Loved how smooth the motion and camera work can feel when the scene is properly directed. Seedance 2.5 is currently 50% OFF on Pollo AI for a limited time. Prompt; 30-sec cinematic London grappling sequence. Ultra-photorealistic live-action Hollywood cinematography, realistic physics, natural lighting, detailed London environments, cinematic depth of field, 35mm/50mm look, 4K. A beautiful young adult White American woman, mid-20s, long blonde hair, athletic build, natural face. She is an ordinary woman using experimental wrist-mounted grappling devices, not a superhero. No mask, cape, emblem or superhero costume. She wears the same fitted black athletic crop top with subtle piping, black high-waisted athletic shorts, white sneakers and minimal jewelry throughout. Camera: One continuous third-person tracking shot. Camera always remains outside her, never first-person, handheld or smartphone. Keep her clearly visible and maintain smooth physically motivated movement. No cuts or perspective changes. 0:00–0:05: Golden-hour London apartment overlooking the skyline. She sits safely on the balcony ledge, looks toward camera and says, “Okay… let’s see if this works.” Camera slowly moves toward her. 0:05–0:09: She steps over the railing and descends naturally. Camera follows backward in a wide full-body shot. 0:09–0:13: Her right wrist device activates with a subtle orange light. Cable shoots to a believable rooftop anchor, visibly attaches and becomes taut, converting her fall into a realistic swing. 0:13–0:18: Camera tracks beside her as she swings between buildings. River Thames and London skyline below, with buses, black cabs and traffic. She releases the cable and activates her left wrist. 0:18–0:22: Second cable attaches to a rooftop. She swings again as the camera smoothly arcs around her while keeping her full body visible. 0:22–0:26: She lands naturally on a rooftop, runs three steps, reaches the edge, pauses briefly, then leaps toward the next building. 0:26–0:30: She fires a final cable and makes a huge smooth swing above London. Camera pulls backward and upward, revealing Tower Bridge, London Eye, The Shard, Westminster, Thames and the city at sunset. She releases and briefly glides forward before becoming a small silhouette. Fade to black. Maintain exact character, outfit, devices and environment continuity. Realistic gravity, momentum, cable tension, wind, hair and clothing physics. No teleportation, impossible movement, distorted hands, duplicated limbs, warped buildings, disappearing cables, changing clothes, excessive VFX or background morphing. Keep it subtle.

Just tried Seedance 2.5 on Pollo AI and pushed it into a 30-second cinematic sequence. 🎬 Loved how smooth the motion and camera work can feel when the scene is properly directed. Seedance 2.5 is currently 50% OFF on Pollo AI for a limited time. Prompt; 30-sec cinematic London grappling sequence. Ultra-photorealistic live-action Hollywood cinematography, realistic physics, natural lighting, detailed London environments, cinematic depth of field, 35mm/50mm look, 4K. A beautiful young adult White American woman, mid-20s, long blonde hair, athletic build, natural face. She is an ordinary woman using experimental wrist-mounted grappling devices, not a superhero. No mask, cape, emblem or superhero costume. She wears the same fitted black athletic crop top with subtle piping, black high-waisted athletic shorts, white sneakers and minimal jewelry throughout. Camera: One continuous third-person tracking shot. Camera always remains outside her, never first-person, handheld or smartphone. Keep her clearly visible and maintain smooth physically motivated movement. No cuts or perspective changes. 0:00–0:05: Golden-hour London apartment overlooking the skyline. She sits safely on the balcony ledge, looks toward camera and says, “Okay… let’s see if this works.” Camera slowly moves toward her. 0:05–0:09: She steps over the railing and descends naturally. Camera follows backward in a wide full-body shot. 0:09–0:13: Her right wrist device activates with a subtle orange light. Cable shoots to a believable rooftop anchor, visibly attaches and becomes taut, converting her fall into a realistic swing. 0:13–0:18: Camera tracks beside her as she swings between buildings. River Thames and London skyline below, with buses, black cabs and traffic. She releases the cable and activates her left wrist. 0:18–0:22: Second cable attaches to a rooftop. She swings again as the camera smoothly arcs around her while keeping her full body visible. 0:22–0:26: She lands naturally on a rooftop, runs three steps, reaches the edge, pauses briefly, then leaps toward the next building. 0:26–0:30: She fires a final cable and makes a huge smooth swing above London. Camera pulls backward and upward, revealing Tower Bridge, London Eye, The Shard, Westminster, Thames and the city at sunset. She releases and briefly glides forward before becoming a small silhouette. Fade to black. Maintain exact character, outfit, devices and environment continuity. Realistic gravity, momentum, cable tension, wind, hair and clothing physics. No teleportation, impossible movement, distorted hands, duplicated limbs, warped buildings, disappearing cables, changing clothes, excessive VFX or background morphing. Keep it subtle.

Jack

15,639 views • 2 days ago

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

This Google Veo 3 "frames to video" feature is pure genius 💡 If you're creating video ads, this Veo 3 technique gives you surgical control over every scene element. This frames-to-video feature will take any static product shot... And turn it into cinematic reels with precise camera movements & timing. Perfect for creative strategists, agencies, and DTC operators running video campaigns. But instead of hoping AI generates what you hope for... Just upload your reference image and get exact scene control in minutes. The game-changer? Your static assets become dynamic video gold → organized by camera moves, action sequences, & precise timing control. Here's what frames-to-video gives you: → upload any product reference image → add numbered annotations for camera movements → structure scene directions (I use JSON for precision) → set duration, fps, lighting specs → get frame-perfect video execution → no video shooting or expensive production needed Now you've got director-level control from single images. These HexClad reels were generated from two static product shots + a JSON prompt for each. When your campaign needs cinematic quality but you only have product photos? This frames-to-video workflow changes everything. And it's only getting better Want my full annotation setup guide, including the JSON prompts? Comment "FRAMES" + follow and I'll send it over (must be following/connected so I can DM)

Mike Futia

39,838 views • 1 year ago

Video Model Comparison: Text to Video → Veo 3.1 → Sora 2 Pro → Kling 2.6 → Luma Ray3 → Wan 2.5 → Hailuo 2.3 → LTX-2 Pro → Seedance Pro Many of the new models automatically generate sound with video results including Veo 3.1, Sora 2 Pro, Kling 2.6, Wan 2.5, and LTX-2 Pro. I used Mirelo AI SFX and ElevenLabs to add sound to the others. I used the same prompt on each model 4x and chose the best result: Meteor Shower Panic Subject: [Father holding daughter's hand, looking up] Action: [Running through a suburban street, looking up as meteors streak across the sky, a small impact occurs nearby blowing wind and dust at them] Scene: [Suburban street, night, streetlights, burning trails in sky] Style: [Cinematic disaster, low angle tracking shot, high contrast, lens flares from meteors] Audio: Audio: sonic booms, wind rushing, car alarms triggered, shouting. Technical: [daytime, calm, sunny, happy] Which one is your favorite?

Video Model Comparison: Text to Video → Veo 3.1 → Sora 2 Pro → Kling 2.6 → Luma Ray3 → Wan 2.5 → Hailuo 2.3 → LTX-2 Pro → Seedance Pro Many of the new models automatically generate sound with video results including Veo 3.1, Sora 2 Pro, Kling 2.6, Wan 2.5, and LTX-2 Pro. I used Mirelo AI SFX and ElevenLabs to add sound to the others. I used the same prompt on each model 4x and chose the best result: Meteor Shower Panic Subject: [Father holding daughter's hand, looking up] Action: [Running through a suburban street, looking up as meteors streak across the sky, a small impact occurs nearby blowing wind and dust at them] Scene: [Suburban street, night, streetlights, burning trails in sky] Style: [Cinematic disaster, low angle tracking shot, high contrast, lens flares from meteors] Audio: Audio: sonic booms, wind rushing, car alarms triggered, shouting. Technical: [daytime, calm, sunny, happy] Which one is your favorite?

Heather Cooper

20,422 views • 8 months ago

This custom GPT writes Sora 2 prompts that actually work 🤯 Most people prompting Sora 2 are getting garbage output. The problem isn't Sora 2. It's your prompts. Here's what I figured out after generating 100+ UGC videos: Sora 2 needs hyper-specific instructions—shot composition, timing, camera movement, lighting, scene details. Most people prompt like this: "Make a UGC video of someone using my skincare product" And then wonder why the output looks like AI slop. What actually gets results: "9:16 vertical handheld shot, soft natural window lighting, female creator mid-20s in bathroom mirror holding [brand] serum at eye level, genuine testimonial energy, 0-3s hook showing application and subtle reaction, shallow depth of field, clean warm color grade" That's the gap between unusable content and scroll-stopping UGC. So I built a custom GPT that writes these prompts for you: → Tell it your product (supplement, skincare, SaaS, whatever) → It generates a detailed timeline-based Sora 2 prompt → Shot composition, camera angles, timing breakdowns—all included → Optimized for 9:16 TikTok/Reels format → Copy and paste directly into Sora 2 No guessing. No prompt engineering rabbit holes. No "why does this look terrible" frustration. Professional UGC prompts in 10 seconds. Want free access to the Sora 2 Prompt Generator GPT? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

13,356 views • 7 months ago

A peaceful evening in Paris turns into chaos. One ordinary man answers an extraordinary call. The guardian awakens. created on GPT image and seedance 2.0 on TapNow Prompt: Style: Ultra-realistic cinematic superhero film, Hollywood blockbuster quality, fast-paced editing, dynamic camera movement, realistic physics, dramatic lighting, 4K HDR, vibrant Paris atmosphere, high energy, seamless transitions. 0:00–0:03 Camera: FPV drone dives through the Paris skyline before rapidly descending toward a lively plaza near the Eiffel Tower. Fast whip-pan between musicians, cafés, tourists taking photos, street performers, and children chasing pigeons. Action: The city feels vibrant and alive. Warm golden-hour sunlight reflects off the buildings. Fireworks begin in the distance as a city festival fills the streets. Audio: Lively crowd chatter, street music, laughter. 0:03–0:06 camera: Sudden handheld shake followed by a dramatic low-angle shot of a museum entrance. Action: A powerful blue energy blast erupts, shattering the glass doors. Smoke pours out as a masked thief bursts into the street holding a glowing blue crystal. Police rush forward but are knocked back by a pulse of energy. The thief leaps effortlessly onto nearby rooftops. Audio: Explosion, glass shattering, screams, alarms. Thief (laughing): "Catch me if you can!" 0:06–0:09 Camera: Match cut to Caden exiting a nearby café with an iced coffee. Medium tracking shot follows him as confused crowds rush past in the opposite direction. Action: He notices the chaos. His silver ring suddenly glows with brilliant blue energy. Extreme close-up: Intricate symbols appear on the ring, rotating as pulses of light spread across his hand. AI Voice (from the ring): "Guardian Protocol activated." Caden (smirking): "Seriously? Right now?" 0:09–0:12 Camera: Dynamic 360° orbit around Caden. Action: He twists the ring. Blue energy erupts around him in swirling ribbons. A sleek black superhero suit with glowing blue accents materializes piece by piece—boots, gloves, armored jacket, utility belt, and a streamlined black eye mask. The transformation ends with a burst of energy as his long coat flutters dramatically. Audio: Rising orchestral music mixed with electronic pulses. Caden: "Let's do this." Style: Same cinematic style, high-speed action, smooth speed ramps, realistic VFX. 0:12-0:15 Camera: Low-angle tracking shot sprinting alongside Caden as he races through crowded Paris streets. Speed ramps emphasize his agility. Action: He vaults over café tables, slides across a car hood, and jumps onto a moving delivery truck without losing speed. Audio: Heavy footsteps, traffic, intense cinematic score. Caden (grinning): "You're not getting away that easily!" 0:15–0:18 Camera: FPV-style rooftop chase. The camera flies just behind Caden as he leaps between rooftops. Action: The thief glances back with a confident smile while clutching the glowing crystal. Chimneys, rooftops, and Paris landmarks blur past at high speed. Thief: "You'll have to be faster than that!" 0:18–0:25 Camera: Wide shot of the Eiffel Tower followed by a dramatic side-tracking shot. Action: The thief launches from one steel beam toward another. Caden follows without hesitation. Mid-air, they collide briefly. The crystal slips from the thief's hand and spins toward the ground. Audio: Wind rushing, metal clashing, music building to a climax. Camera: Extreme slow-motion close-up. Action: Caden dives through the air and catches the glowing crystal inches before it hits the ground. The thief disappears into a cloud of dark smoke. Suddenly, cracks spread across the crystal as bright blue energy leaks out. Camera: Slow push-in on Caden's face as the light reflects in his eyes. Caden (whispering): "This... wasn't just a theft." Final Frame: The crystal emits a blinding flash. CUT TO BLACK. Text on screen: "To Be Continued..." 🎬

A peaceful evening in Paris turns into chaos. One ordinary man answers an extraordinary call. The guardian awakens. created on GPT image and seedance 2.0 on TapNow Prompt: Style: Ultra-realistic cinematic superhero film, Hollywood blockbuster quality, fast-paced editing, dynamic camera movement, realistic physics, dramatic lighting, 4K HDR, vibrant Paris atmosphere, high energy, seamless transitions. 0:00–0:03 Camera: FPV drone dives through the Paris skyline before rapidly descending toward a lively plaza near the Eiffel Tower. Fast whip-pan between musicians, cafés, tourists taking photos, street performers, and children chasing pigeons. Action: The city feels vibrant and alive. Warm golden-hour sunlight reflects off the buildings. Fireworks begin in the distance as a city festival fills the streets. Audio: Lively crowd chatter, street music, laughter. 0:03–0:06 camera: Sudden handheld shake followed by a dramatic low-angle shot of a museum entrance. Action: A powerful blue energy blast erupts, shattering the glass doors. Smoke pours out as a masked thief bursts into the street holding a glowing blue crystal. Police rush forward but are knocked back by a pulse of energy. The thief leaps effortlessly onto nearby rooftops. Audio: Explosion, glass shattering, screams, alarms. Thief (laughing): "Catch me if you can!" 0:06–0:09 Camera: Match cut to Caden exiting a nearby café with an iced coffee. Medium tracking shot follows him as confused crowds rush past in the opposite direction. Action: He notices the chaos. His silver ring suddenly glows with brilliant blue energy. Extreme close-up: Intricate symbols appear on the ring, rotating as pulses of light spread across his hand. AI Voice (from the ring): "Guardian Protocol activated." Caden (smirking): "Seriously? Right now?" 0:09–0:12 Camera: Dynamic 360° orbit around Caden. Action: He twists the ring. Blue energy erupts around him in swirling ribbons. A sleek black superhero suit with glowing blue accents materializes piece by piece—boots, gloves, armored jacket, utility belt, and a streamlined black eye mask. The transformation ends with a burst of energy as his long coat flutters dramatically. Audio: Rising orchestral music mixed with electronic pulses. Caden: "Let's do this." Style: Same cinematic style, high-speed action, smooth speed ramps, realistic VFX. 0:12-0:15 Camera: Low-angle tracking shot sprinting alongside Caden as he races through crowded Paris streets. Speed ramps emphasize his agility. Action: He vaults over café tables, slides across a car hood, and jumps onto a moving delivery truck without losing speed. Audio: Heavy footsteps, traffic, intense cinematic score. Caden (grinning): "You're not getting away that easily!" 0:15–0:18 Camera: FPV-style rooftop chase. The camera flies just behind Caden as he leaps between rooftops. Action: The thief glances back with a confident smile while clutching the glowing crystal. Chimneys, rooftops, and Paris landmarks blur past at high speed. Thief: "You'll have to be faster than that!" 0:18–0:25 Camera: Wide shot of the Eiffel Tower followed by a dramatic side-tracking shot. Action: The thief launches from one steel beam toward another. Caden follows without hesitation. Mid-air, they collide briefly. The crystal slips from the thief's hand and spins toward the ground. Audio: Wind rushing, metal clashing, music building to a climax. Camera: Extreme slow-motion close-up. Action: Caden dives through the air and catches the glowing crystal inches before it hits the ground. The thief disappears into a cloud of dark smoke. Suddenly, cracks spread across the crystal as bright blue energy leaks out. Camera: Slow push-in on Caden's face as the light reflects in his eyes. Caden (whispering): "This... wasn't just a theft." Final Frame: The crystal emits a blinding flash. CUT TO BLACK. Text on screen: "To Be Continued..." 🎬

Caden Flux

22,055 views • 29 days ago

This custom GPT writes perfect Sora 2 prompts every time 🤯 Most people are wasting hours trying to get Sora 2 to generate decent UGC videos. The problem isn't Sora 2. It's you (and your prompts). Here's what I learned after generating 100+ UGC videos with Sora 2: Sora 2 needs hyper-specific prompts with shot composition, timing, camera movement, and scene details. Most people write: "Create a UGC video for my protein bar" What you get? Terrible results. What actually works: "9:16 vertical handheld shot, natural lighting, female creator in kitchen holding [brand] protein bar at eye level, excited testimonial energy, 0-3s hook showing bite and reaction, shallow depth of field, warm color grade" That's the difference between amateur & professional output. So I built a custom GPT that does this automatically: → Tell it your product (protein bar, skincare, SaaS tool, etc.) → It generates a detailed timeline-based Sora 2 prompt → Includes shot composition, camera angles, timing breakdowns → Optimized for 9:16 UGC TikTok/Reels format → Copy/paste directly into Sora 2 No more guessing. No more mediocre results. Just professional UGC prompts in 10 seconds. Want free access to the Sora 2 Prompt Generator GPT? > Comment "GPT" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

49,823 views • 10 months ago

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.

Curious Refuge

24,695 views • 8 months ago

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Travis Davids

19,236 views • 3 months ago