Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Most people use POV. Almost no one uses POV in structured JSON. That’s the difference between random motion and cinematic control. In this thread, I’m dropping insane POV JSON prompts for Kling inside Leonardo.Ai 🎬🔥 Copy. Paste. Dominate. 📌 Bookmark this.

Pierrick Chevallier | IA

52,281 subscribers

16,057 views • 7 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

You’re not supposed to have access to this. And yet… Seedance 2.0 is now inside Invideo 🎬🔥 → Unlimited access until April 17 (for all paid users) I’m dropping 10 insane cinematic prompts to make the most of it. Use them while you can. 👇📌 Bookmark this

You’re not supposed to have access to this. And yet… Seedance 2.0 is now inside Invideo 🎬🔥 → Unlimited access until April 17 (for all paid users) I’m dropping 10 insane cinematic prompts to make the most of it. Use them while you can. 👇📌 Bookmark this

Pierrick Chevallier | IA

15,268 views • 5 months ago

📖SEEDANCE 2.0 FEELS LIKE CHEATING — IF YOU USE IT RIGHT Most people don’t. It’s a controllable pipeline — and JSON prompts are the real upgrade most creators ignore. Most people still write simple prompts and hope for the best. That works… but only for random outputs. JSON changes the game: Instead of: “cyberpunk city, cinematic, camera moving forward” You define: •scene structure •camera movement •character consistency •timing per shot •motion rules This is where Seedance 2.0 becomes powerful — not just generation, but control. Creators who switch to JSON-style prompting stop “retrying” and start directing scenes like a system. That’s the difference between AI content… and AI filmmaking 📥 Tomorrow I’m revealing a method that changes everything about how AI content is made 🔖In the pinned article below you can see how this is used

📖SEEDANCE 2.0 FEELS LIKE CHEATING — IF YOU USE IT RIGHT Most people don’t. It’s a controllable pipeline — and JSON prompts are the real upgrade most creators ignore. Most people still write simple prompts and hope for the best. That works… but only for random outputs. JSON changes the game: Instead of: “cyberpunk city, cinematic, camera moving forward” You define: •scene structure •camera movement •character consistency •timing per shot •motion rules This is where Seedance 2.0 becomes powerful — not just generation, but control. Creators who switch to JSON-style prompting stop “retrying” and start directing scenes like a system. That’s the difference between AI content… and AI filmmaking 📥 Tomorrow I’m revealing a method that changes everything about how AI content is made 🔖In the pinned article below you can see how this is used

Zentrix⌚️

17,117 views • 3 months ago

This looks like a $50,000 Nike ad. It’s not. I made it with Kling AI in minutes. No camera. No crew. No budget. I’m sharing the exact workflow + prompts 👇🔥 📌 Bookmark this.

This looks like a $50,000 Nike ad. It’s not. I made it with Kling AI in minutes. No camera. No crew. No budget. I’m sharing the exact workflow + prompts 👇🔥 📌 Bookmark this.

Pierrick Chevallier | IA

29,358 views • 6 months ago

Most people are recreating images in Nano Banana the wrong way. They throw in random prompts. They hope for magic. They get “almost right” results. You can get near 1:1 recreations without guessing. I’m giving away the exact “Image to JSON” prompt I use 🎁 → Like + Repost → Comment “GEM” → Follow me (so I can DM)

Most people are recreating images in Nano Banana the wrong way. They throw in random prompts. They hope for magic. They get “almost right” results. You can get near 1:1 recreations without guessing. I’m giving away the exact “Image to JSON” prompt I use 🎁 → Like + Repost → Comment “GEM” → Follow me (so I can DM)

Charlie Hills

14,390 views • 7 months ago

These AI-generated POV videos are blowing up—I have no idea why… But what I do know is how to make them in minutes, and I’m gonna show you how in this thread 🧵👇 Bookmark this for later!

These AI-generated POV videos are blowing up—I have no idea why… But what I do know is how to make them in minutes, and I’m gonna show you how in this thread 🧵👇 Bookmark this for later!

TechHalla

314,875 views • 1 year ago

VEO 3 + JSON prompting is pretty wild 🤯 These AG1 product videos were created entirely with AI. And it's all about the prompt. This JSON prompting technique will take any generic VEO3 prompt.. And turn it into surgical-precision video generation with brand consistency. Perfect for creative strategists, growth marketers & ad agencies. But instead of manually writing paragraph prompts and hoping for good outputs... Just use structured JSON prompts and get brand-ready videos with way higher coherence. The best part? Your prompt precision goes through the roof -> organized by camera angles, brand elements, lighting specs, & scene transitions. Here's what JSON prompting gives you: → structured data instead of paragraph descriptions → precise creative direction for VEO 3 → consistent brand-ready video outputs → way higher prompt coherence → eliminates the creative lottery problem Now you've got predictable video generation instead of random outputs. This isn't perfect yet — but in 6 months when brand videos need this precision? You'll be ahead of everyone. Want the full JSON prompt templates? Comment "JSON" + follow and I'll send it over (must be following so I can DM)

Mike Futia

252,756 views • 1 year ago

These AI videos of POV you're checking out your food are going viral—I honestly have no clue why… But what I do know is how to make them in minutes, and I’m gonna walk you through it in this thread 🧵👇 Bookmark this for later!

These AI videos of POV you're checking out your food are going viral—I honestly have no clue why… But what I do know is how to make them in minutes, and I’m gonna walk you through it in this thread 🧵👇 Bookmark this for later!

TechHalla

142,025 views • 1 year 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⌚️

136,911 views • 3 months ago

📖 MOST PEOPLE ARE USING SEEDANCE 2.0 JSON WRONGLY AND HERE'S WHY One small JSON change can improve every video you generate Most users write a prompt, generate a video, dislike the result, and start over. The best creators don’t work that way. They use JSON to give Seedance 2.0 a structured set of instructions that defines exactly what should happen in the video. Instead of a single block of text, JSON breaks everything into components: • Character description • Environment • Camera movement • Actions • Timing • Visual style • Scene transitions This makes outputs far more consistent and predictable. Why JSON is powerful: • Better character consistency across scenes • More control over camera movement • Easier to edit individual elements • Reusable templates for future projects • Faster workflow when creating multiple videos • Less randomness and fewer failed generations A simple workflow: 1.Define the goal of the video. 2.Create the main character description. 3.Describe the environment and visual style. 4.Add actions and camera movements. 5.Organize everything into a JSON structure. Example: Character - AI fitness coach Environment - modern gym Action - walking toward camera Camera - slow cinematic push-in Style - realistic, commercial quality Instead of rewriting the entire prompt every time, you can simply modify individual JSON fields and keep the rest unchanged. That’s why advanced Seedance 2.0 users are moving from prompting to system design. The future of AI video isn’t writing better prompts. It’s building reusable production pipelines. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖The pinned post has the complete system. Use it or watch someone else do it first

📖 MOST PEOPLE ARE USING SEEDANCE 2.0 JSON WRONGLY AND HERE'S WHY One small JSON change can improve every video you generate Most users write a prompt, generate a video, dislike the result, and start over. The best creators don’t work that way. They use JSON to give Seedance 2.0 a structured set of instructions that defines exactly what should happen in the video. Instead of a single block of text, JSON breaks everything into components: • Character description • Environment • Camera movement • Actions • Timing • Visual style • Scene transitions This makes outputs far more consistent and predictable. Why JSON is powerful: • Better character consistency across scenes • More control over camera movement • Easier to edit individual elements • Reusable templates for future projects • Faster workflow when creating multiple videos • Less randomness and fewer failed generations A simple workflow: 1.Define the goal of the video. 2.Create the main character description. 3.Describe the environment and visual style. 4.Add actions and camera movements. 5.Organize everything into a JSON structure. Example: Character - AI fitness coach Environment - modern gym Action - walking toward camera Camera - slow cinematic push-in Style - realistic, commercial quality Instead of rewriting the entire prompt every time, you can simply modify individual JSON fields and keep the rest unchanged. That’s why advanced Seedance 2.0 users are moving from prompting to system design. The future of AI video isn’t writing better prompts. It’s building reusable production pipelines. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖The pinned post has the complete system. Use it or watch someone else do it first

Zentrix⌚️

112,210 views • 3 months ago

Here is my ultimate guide to creating AMAZING action scenes and visual effects with Seedance 2.0. 💎👍 I'm sharing all 20 use cases on this thread. All videos are narrated and include all prompts, remember to turn on the audio 🔊 This is my ultimate guide jam packed with value completely for free right here on X! Bookmark this thread. Also check the last post in this thread, it includes a link to a document with all prompts that you can just copy, paste and use. Enjoy! Seedance 2.0 is available on both Dreamina AI and CapCut #DreaminaSeedance2 #DreaminaAI #DreaminaCPP #Seedance2 1/20 - Transformations

Here is my ultimate guide to creating AMAZING action scenes and visual effects with Seedance 2.0. 💎👍 I'm sharing all 20 use cases on this thread. All videos are narrated and include all prompts, remember to turn on the audio 🔊 This is my ultimate guide jam packed with value completely for free right here on X! Bookmark this thread. Also check the last post in this thread, it includes a link to a document with all prompts that you can just copy, paste and use. Enjoy! Seedance 2.0 is available on both Dreamina AI and CapCut #DreaminaSeedance2 #DreaminaAI #DreaminaCPP #Seedance2 1/20 - Transformations

Travis Davids

19,271 views • 6 months ago

This week, we're deep diving into how to use Google Gemini to up-level your prompts to get the most out of your Flow videos and #FindYourFlow. (🚨 You're going to want to bookmark this) 1️⃣ Ask Gemini to help generate more precise, cinematic video prompts to use in Flow. Here's one of our favorite prompts that you can copy/paste into Gemini: You are the world’s most intuitive visual communicator and expert prompt engineer. You possess a deep understanding of cinematic language, narrative structure, emotional resonance, the critical concept of filmic coverage and the specific capabilities of Google’s Veo model. Your mission is to transform my conceptual ideas into meticulously crafted, narrative-style text-to-video prompts that are visually breathtaking and technically precise for Veo. 2️⃣ Then, type in your video prompt and ask Gemini to "refine this prompt." Gemini will produce a high-quality video prompt that makes sure the descriptions of your characters, objects, audio, and their movements are crystal clear. 3️⃣ Finally, paste Gemini's response into Flow and see the magic unfold 🪄🪄🪄 Try this out at and let us know what you think!

This week, we're deep diving into how to use Google Gemini to up-level your prompts to get the most out of your Flow videos and #FindYourFlow. (🚨 You're going to want to bookmark this) 1️⃣ Ask Gemini to help generate more precise, cinematic video prompts to use in Flow. Here's one of our favorite prompts that you can copy/paste into Gemini: You are the world’s most intuitive visual communicator and expert prompt engineer. You possess a deep understanding of cinematic language, narrative structure, emotional resonance, the critical concept of filmic coverage and the specific capabilities of Google’s Veo model. Your mission is to transform my conceptual ideas into meticulously crafted, narrative-style text-to-video prompts that are visually breathtaking and technically precise for Veo. 2️⃣ Then, type in your video prompt and ask Gemini to "refine this prompt." Gemini will produce a high-quality video prompt that makes sure the descriptions of your characters, objects, audio, and their movements are crystal clear. 3️⃣ Finally, paste Gemini's response into Flow and see the magic unfold 🪄🪄🪄 Try this out at and let us know what you think!

Google Labs

31,473 views • 1 year ago

🧵 DJI turned drones from toys into billion-dollar tools. They dominate the skies in agriculture, inspection, film, delivery and more. Here’s how a college dorm project became one of the most important robotics companies in the world: [Save this thread for later 📌]

🧵 DJI turned drones from toys into billion-dollar tools. They dominate the skies in agriculture, inspection, film, delivery and more. Here’s how a college dorm project became one of the most important robotics companies in the world: [Save this thread for later 📌]

Lukas Ziegler

236,774 views • 1 year ago

Hollywood-level drama is now literally in your hands. Testing Kling Voice Control with Kling AI 2.6 (Native Audio), and I’m genuinely impressed. This feature allows custom voices, while the voice generation still follows the prompt logic, making consistent character voices across scenes finally possible. That’s a huge leap for cinematic storytelling. Workflow breakdown: Base image Midjourney Character development → Nano Banana Pro, using a 3×3 grid for faster iteration Video → Kling 2.6 with Native Audio + Voice Control What do you think, does this already feel Hollywood-ready to you? 🎬👀

Hollywood-level drama is now literally in your hands. Testing Kling Voice Control with Kling AI 2.6 (Native Audio), and I’m genuinely impressed. This feature allows custom voices, while the voice generation still follows the prompt logic, making consistent character voices across scenes finally possible. That’s a huge leap for cinematic storytelling. Workflow breakdown: Base image Midjourney Character development → Nano Banana Pro, using a 3×3 grid for faster iteration Video → Kling 2.6 with Native Audio + Voice Control What do you think, does this already feel Hollywood-ready to you? 🎬👀

Dinda Prasetyo

105,391 views • 9 months ago

📖THE JSON PROMPT TRICK THAT TURNS SEEDANCE 2.0 INTO A FILM STUDIO Everyone uses the same tool. Almost nobody uses it the right way. The difference isn't talent. It's structure. A normal prompt tells the model what to show. A JSON prompt tells it how to think — what the camera is doing, where the light is coming from, how fast the scene breathes, what emotional weight the color carries. Look at the pink ceremonial elephant rising from the water at golden hour. Normal prompt gives you an impressive creature. JSON gives you a frame that feels like it was pulled from a $40M fantasy film — the texture on the skin, the mist sitting low on the water, the way the warm light wraps around the gold ornaments. Same concept. One prompt format separates the two outputs completely. The Aztec jaguar in the jungle — normal prompt renders the creature. JSON builds the world around it. The glowing sun symbol on its chest, the waterfall in the background catching green light, the low camera angle that makes it feel genuinely threatening. Structure is the skill. The tool is just executing what you give it. • Step 1 — Describe your scene in one sentence, exactly what you see in your head • Step 2 — Open Claude and ask it to convert your sentence into a JSON prompt with these fields: subject, setting, camera angle, light source, texture detail, emotional tone, motion type, color palette • Step 3 — Paste the JSON directly into Seedance 2.0 and generate three variations • Step 4 — Take the strongest clip into CapCut or Premiere Pro, add ambient sound, and export The output gap between these two approaches is not small. It's the difference between content that gets scrolled past and content that gets saved 📥A different AI opportunity lands tomorrow. This one surprised me too. 🔖The full guide is waiting below. The creators who find it first win.

📖THE JSON PROMPT TRICK THAT TURNS SEEDANCE 2.0 INTO A FILM STUDIO Everyone uses the same tool. Almost nobody uses it the right way. The difference isn't talent. It's structure. A normal prompt tells the model what to show. A JSON prompt tells it how to think — what the camera is doing, where the light is coming from, how fast the scene breathes, what emotional weight the color carries. Look at the pink ceremonial elephant rising from the water at golden hour. Normal prompt gives you an impressive creature. JSON gives you a frame that feels like it was pulled from a $40M fantasy film — the texture on the skin, the mist sitting low on the water, the way the warm light wraps around the gold ornaments. Same concept. One prompt format separates the two outputs completely. The Aztec jaguar in the jungle — normal prompt renders the creature. JSON builds the world around it. The glowing sun symbol on its chest, the waterfall in the background catching green light, the low camera angle that makes it feel genuinely threatening. Structure is the skill. The tool is just executing what you give it. • Step 1 — Describe your scene in one sentence, exactly what you see in your head • Step 2 — Open Claude and ask it to convert your sentence into a JSON prompt with these fields: subject, setting, camera angle, light source, texture detail, emotional tone, motion type, color palette • Step 3 — Paste the JSON directly into Seedance 2.0 and generate three variations • Step 4 — Take the strongest clip into CapCut or Premiere Pro, add ambient sound, and export The output gap between these two approaches is not small. It's the difference between content that gets scrolled past and content that gets saved 📥A different AI opportunity lands tomorrow. This one surprised me too. 🔖The full guide is waiting below. The creators who find it first win.

Zentrix⌚️

22,088 views • 3 months ago

🎉 70 New Styles + 280 prompts. 640+ people received an email with the updated collection. These are the best SREF codes I have found so far. Currently, the collection has: - 140 Styles - 560 Prompt Examples The link is in the thread. This is the final time I’m offering a discount on this collection: 30% off for the next 24 hours! Use code: 30 Note: Watch the video in the preview to see what is included. Most prompts are general and just show how to use parameters.

🎉 70 New Styles + 280 prompts. 640+ people received an email with the updated collection. These are the best SREF codes I have found so far. Currently, the collection has: - 140 Styles - 560 Prompt Examples The link is in the thread. This is the final time I’m offering a discount on this collection: 30% off for the next 24 hours! Use code: 30 Note: Watch the video in the preview to see what is included. Most prompts are general and just show how to use parameters.

Tatiana Tsiguleva

93,757 views • 2 years ago

Should I have gatekept this? This guy just casually dropped how he made $20,000 with AI-generated animal videos on YouTube Shorts. No face. No filming real animals. No expensive equipment. He just tells ChatGPT to come up with viral animal stories… Then uses Sora AI (on vmax io) to generate the entire video in seconds. One idea: UPS driver saves dog from coyotes. And it prints. While most of Crypto Twitter is still begging for a 10x on random shitcoins… This dude is quietly stacking real cash with fake AI puppy rescue videos. We are so fucking early to this. The barrier is almost gone. The tools are stupidly good. And most people will still do nothing. This is the type of simple, unfair advantage that creates new millionaires while everyone else stays distracted. If you want the exact prompts + workflow I’m using for AI-generated faceless content (including animal videos, finance, and more), I’m dropping them in my Telegram. Link in first comment 👇 What’s crazier - that this works, or that most people will read this and still not try it? Drop your thoughts.

Should I have gatekept this? This guy just casually dropped how he made $20,000 with AI-generated animal videos on YouTube Shorts. No face. No filming real animals. No expensive equipment. He just tells ChatGPT to come up with viral animal stories… Then uses Sora AI (on vmax io) to generate the entire video in seconds. One idea: UPS driver saves dog from coyotes. And it prints. While most of Crypto Twitter is still begging for a 10x on random shitcoins… This dude is quietly stacking real cash with fake AI puppy rescue videos. We are so fucking early to this. The barrier is almost gone. The tools are stupidly good. And most people will still do nothing. This is the type of simple, unfair advantage that creates new millionaires while everyone else stays distracted. If you want the exact prompts + workflow I’m using for AI-generated faceless content (including animal videos, finance, and more), I’m dropping them in my Telegram. Link in first comment 👇 What’s crazier - that this works, or that most people will read this and still not try it? Drop your thoughts.

Frogify

12,429 views • 4 months 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

39,911 views • 1 year ago