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"SPACE BASTARDS" - Episode 1: The Takeoff When your spacecraft decides physics are optional and your co-pilot is a drama queen. Fan-Made Series. Non-commercial fan film. (Predator character © 20th Century Studios - used under fair use for parody/homage) Grok imagine Kling AI Google Gemini Suno Nano Banana Pro... show more

Raven Morgoth

4,295 subscribers

33,434 次观看 • 8 个月前 •via X (Twitter)

游戏艺术科学技术

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I automated "stealing" viral TikToks. nano banana pro + kling + n8n analyzes any viral video, extracts exactly why it works, then generates your version with your look here's the stack: - Adrian | The Web Scraping Guy gets the tiktok video + transcript - Google Gemini () watches the video and breaks down the psychology (hooks, pacing, motion, emotional arc) creates a "character bible" for visual consistency - Nano Banana 2 Lite generates the starting frames - Kling AI animates each 10-second segment (or veo) FFmpeg stitches it into one vertical video - uploads to Google Drive, logs everything input: 1 viral TikTok URL output: branded alternative in 10 min for ~$2 the viral formula stays. the content becomes yours. this is how you test 10x more concepts without 10x more creators want the complete 5-workflow automation? comment VIRAL + follow (following required for DM)

I automated "stealing" viral TikToks. nano banana pro + kling + n8n analyzes any viral video, extracts exactly why it works, then generates your version with your look here's the stack: - Adrian | The Web Scraping Guy gets the tiktok video + transcript - Google Gemini () watches the video and breaks down the psychology (hooks, pacing, motion, emotional arc) creates a "character bible" for visual consistency - Nano Banana 2 Lite generates the starting frames - Kling AI animates each 10-second segment (or veo) FFmpeg stitches it into one vertical video - uploads to Google Drive, logs everything input: 1 viral TikTok URL output: branded alternative in 10 min for ~$2 the viral formula stays. the content becomes yours. this is how you test 10x more concepts without 10x more creators want the complete 5-workflow automation? comment VIRAL + follow (following required for DM)

Matthew Berman

27,297 次观看 • 9 个月前

BUZZ 🐝 A short sequence created using Nano Banana Pro and Grok imagine. I wanted to test Groks capabilities for action in motion. With Buzz leading the way, Tiny Timmy is having the absolute time of his life exploring the wondrous Flower Kingdom🌼 Tools for creation: - Nano Banana Pro was used to generate the base image and the additional camera angles. I wanted to personally see if I could just use 3 images so no 2x2 grid extraction technique for this but I did want to include each frame used so you can see how the sequence was combined. Grok Imagine was used for every sequence to bring it to life using image to video. - I did some post work in Capcut by adding some subtle bloom, radial motion blur and film grain as well. - I added additional sound effects by generating them using Elevenlabs and layering them (bee buzzing, flapping wings, wind and leaves rustling etc). The kids laughter was generated using Grok. The soundtrack was sourced from Artlist. It was fun testing this and putting it together just to see what Grok is capable of generating.

BUZZ 🐝 A short sequence created using Nano Banana Pro and Grok imagine. I wanted to test Groks capabilities for action in motion. With Buzz leading the way, Tiny Timmy is having the absolute time of his life exploring the wondrous Flower Kingdom🌼 Tools for creation: - Nano Banana Pro was used to generate the base image and the additional camera angles. I wanted to personally see if I could just use 3 images so no 2x2 grid extraction technique for this but I did want to include each frame used so you can see how the sequence was combined. Grok Imagine was used for every sequence to bring it to life using image to video. - I did some post work in Capcut by adding some subtle bloom, radial motion blur and film grain as well. - I added additional sound effects by generating them using Elevenlabs and layering them (bee buzzing, flapping wings, wind and leaves rustling etc). The kids laughter was generated using Grok. The soundtrack was sourced from Artlist. It was fun testing this and putting it together just to see what Grok is capable of generating.

Travis Davids

14,990 次观看 • 7 个月前

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

Cinematic city transitions. Perfect cuts. Zero traditional video editing. Everything you’re watching is AI. Tools: - Kling 2.5 Turbo - Nano Banana Pro - ChatGPT 4 STEP TUTORIAL: 1️⃣: Design your concept Brainstorm with ChatGPT the type of “vibe” you want your images/video to capture. I landed on “Cinematic Urban Melancholy” for my overall Visual Theme. 2️⃣: Generate Images with Nano Banana 🍌 Use ChatGPT to generate nano-banana-ready prompts for each of the 5 images in your setting. 3️⃣: Generate AI Transitions Navigate to Kling and select AI Video Generator Upload your start frame (image 1) + end frame (image 2) Prompt for a “seamless cinematic transition between scenes”. You’ll need to iterate on your prompt until the result matches your vision. Be specific about motion, style, and mood. 4️⃣: Polish Import everything into your editor (I use CapCut). Add speed / slowdown. And most importantly, add sound design. Music and SFX sell the visuals. Bookmark this and try it out yourself! If you want the exact prompts I'm using to generate these transitions: Follow, RT, & comment 'PROMPTS' below. I'll dm them to you (must be following so i can message)

David Roberts

230,572 次观看 • 8 个月前

Okay, this one is the Grok Imagine version. But here’s something you need to note: I uploaded the character sheet I made with Nano Banana Pro as the base image. So it feels like this fake “Omni reference” kind of style, but it works 😄 Somehow, it’s much more consistent than uploading a still image of your scene with your character, because there’s a chance your character will morph a bit. By using your character sheet as the base model, it helps maintain consistency. The only problem is that when you do the img2vid prompt, you need to retell the setting, the action, the vibe and so on. But for me, I kind of like that approach, LOL 😆 Like I said, I’m getting lazy about animating images one by one. With this approach, I can just focus on dividing the shots, like shot 1: blabla, shot 2: bliblibli, shot 3: blublu, etc. Now for the comparison: In comparison with the Kling 3.0 Omni version, I feel that Grok Imagine is much more dynamic. But in terms of the character performance, it feels a bit over the top. It’s like the AI characters are acting it out 😁 Meanwhile, Kling 3.0 Omni feels much more realistic in terms of the acting and a bit more atmospheric. I honestly love both. If I want to fool around, I guess I’ll use Grok Imagine. But if I want more subtle realism and a candid feel, I’ll go with Kling 3.0.

Okay, this one is the Grok Imagine version. But here’s something you need to note: I uploaded the character sheet I made with Nano Banana Pro as the base image. So it feels like this fake “Omni reference” kind of style, but it works 😄 Somehow, it’s much more consistent than uploading a still image of your scene with your character, because there’s a chance your character will morph a bit. By using your character sheet as the base model, it helps maintain consistency. The only problem is that when you do the img2vid prompt, you need to retell the setting, the action, the vibe and so on. But for me, I kind of like that approach, LOL 😆 Like I said, I’m getting lazy about animating images one by one. With this approach, I can just focus on dividing the shots, like shot 1: blabla, shot 2: bliblibli, shot 3: blublu, etc. Now for the comparison: In comparison with the Kling 3.0 Omni version, I feel that Grok Imagine is much more dynamic. But in terms of the character performance, it feels a bit over the top. It’s like the AI characters are acting it out 😁 Meanwhile, Kling 3.0 Omni feels much more realistic in terms of the acting and a bit more atmospheric. I honestly love both. If I want to fool around, I guess I’ll use Grok Imagine. But if I want more subtle realism and a candid feel, I’ll go with Kling 3.0.

MXVDXN // DAN

16,961 次观看 • 6 个月前

BARRY 🍯 - Meet Barry, a bear hopelessly addicted to store bought honey. Once content with wild beehives, his taste buds now crave the processed sweetness from supermarket shelves. To get his fix, he repeatedly robs convenience stores. Arrested time and again, he somehow keeps getting released, only to strike again. Miraculously, the charges never stick. I guess being a bear has its perks. My end goal here was to use Kling 3.0 for the entire cinematic sequence, including lipsyncing and dialogue to see how it holds up. The video model has improved a great deal and this was a lot of fun to put together. Enjoy! I love telling all sorts of stories, even silly ones like this. P.S I'm starring in my own short film, I'm the one who is in prison with the bear. Tools For Creation: Image Generation: Nano Banana Pro Image To Video: Kling AI 3.0 Lipsync And Dialogue: Kling 3.0 Music: Elevenlabs & Suno Sound Effects: Artlist Video Editing: Capcut

BARRY 🍯 - Meet Barry, a bear hopelessly addicted to store bought honey. Once content with wild beehives, his taste buds now crave the processed sweetness from supermarket shelves. To get his fix, he repeatedly robs convenience stores. Arrested time and again, he somehow keeps getting released, only to strike again. Miraculously, the charges never stick. I guess being a bear has its perks. My end goal here was to use Kling 3.0 for the entire cinematic sequence, including lipsyncing and dialogue to see how it holds up. The video model has improved a great deal and this was a lot of fun to put together. Enjoy! I love telling all sorts of stories, even silly ones like this. P.S I'm starring in my own short film, I'm the one who is in prison with the bear. Tools For Creation: Image Generation: Nano Banana Pro Image To Video: Kling AI 3.0 Lipsync And Dialogue: Kling 3.0 Music: Elevenlabs & Suno Sound Effects: Artlist Video Editing: Capcut

Travis Davids

11,125 次观看 • 7 个月前

Traditional media is DEAD. They just don't know it yet.. Everything you see in this Ad was 100% created with AI. Yes, really.. And it only took me about an hour. - the storyboard (Nano Banana) - the music (Suno) - the animations (Kling) - the voiceover (Elevenlabs) Creative teams are now able to move at the speed of thought. The problem is a lot of the tools are still fragmented. But there's something magical that happens when you piece everything together. I tried every tool out there under the sun that claims to be a full stack studio but they all felt short. Had to build my own (screenshot in comments); If I can do this in under an hour imagine what entire creative and media teams can do. And now that I have your attention: - If you want $2000 off your SOC 2 before end of year, just reach out and mention you saw this video.

Traditional media is DEAD. They just don't know it yet.. Everything you see in this Ad was 100% created with AI. Yes, really.. And it only took me about an hour. - the storyboard (Nano Banana) - the music (Suno) - the animations (Kling) - the voiceover (Elevenlabs) Creative teams are now able to move at the speed of thought. The problem is a lot of the tools are still fragmented. But there's something magical that happens when you piece everything together. I tried every tool out there under the sun that claims to be a full stack studio but they all felt short. Had to build my own (screenshot in comments); If I can do this in under an hour imagine what entire creative and media teams can do. And now that I have your attention: - If you want $2000 off your SOC 2 before end of year, just reach out and mention you saw this video.

Claudio Fuentes

11,780 次观看 • 8 个月前

New body-physics test for the best AI video tools: The newly released Grok Imagine 1.5, the king Seedance 2.0, Google’s “revolutionary super-duper” Gemini Omni Flash, and the old-timer Kling 3.0 Pro. This time I tested how each model handles realistic running motion, body movement, fabric physics, and natural secondary motion. And the result was much less obvious than I expected. Believe it or not, I can’t call Seedance the clear winner this time. Each model got several attempts. - Grok Imagine 1.5: The new version is finally available on the official Grok website, so I could properly test it. Honestly, I didn’t notice a massive improvement over the previous version. Still, the result was acceptable. It produced the most cartoonish image, and the woman runs as if she’s wearing heels, but the body physics were decent enough. It also understood the instructions quickly and followed them correctly. - Kling 3.0 Pro: The old man decided to test my patience. It repeatedly blocked a simple running scene as adult content, then misunderstood the instructions several times. The successful result has the most realistic lighting and frame rate, but the actual body physics look strange. It almost feels like loose foam padding is bouncing inside the leggings. There are also several visible artifacts and unnatural movements. - Gemini Omni Flash: As usual, it gave me that strange slow-motion, low-FPS look that Google models seem to love. But it didn’t censor anything, understood the instructions immediately, and produced a beautiful, realistic result. Surprisingly, this is the output I liked the most in this test. - Seedance 2.0: Seedance also blocked a couple of generations, just like Kling, but eventually produced a strong result. It delivered the most beautiful and visually appealing footage, but I honestly expected better physics. The video looks great, yet I can’t confidently call it the most physically accurate result. - My ranking: 1. Gemini Omni Flash — not perfect, but the best overall result for me 2. Seedance 2.0 — visually stunning, but I preferred Omni’s physics 3. Grok Imagine 1.5 — cartoonish look and strange running, but still acceptable 4. Kling 3.0 Pro — the longest wait, the strangest physics, and the most inconsistent result Do you agree with my ranking? #AIVideo

New body-physics test for the best AI video tools: The newly released Grok Imagine 1.5, the king Seedance 2.0, Google’s “revolutionary super-duper” Gemini Omni Flash, and the old-timer Kling 3.0 Pro. This time I tested how each model handles realistic running motion, body movement, fabric physics, and natural secondary motion. And the result was much less obvious than I expected. Believe it or not, I can’t call Seedance the clear winner this time. Each model got several attempts. - Grok Imagine 1.5: The new version is finally available on the official Grok website, so I could properly test it. Honestly, I didn’t notice a massive improvement over the previous version. Still, the result was acceptable. It produced the most cartoonish image, and the woman runs as if she’s wearing heels, but the body physics were decent enough. It also understood the instructions quickly and followed them correctly. - Kling 3.0 Pro: The old man decided to test my patience. It repeatedly blocked a simple running scene as adult content, then misunderstood the instructions several times. The successful result has the most realistic lighting and frame rate, but the actual body physics look strange. It almost feels like loose foam padding is bouncing inside the leggings. There are also several visible artifacts and unnatural movements. - Gemini Omni Flash: As usual, it gave me that strange slow-motion, low-FPS look that Google models seem to love. But it didn’t censor anything, understood the instructions immediately, and produced a beautiful, realistic result. Surprisingly, this is the output I liked the most in this test. - Seedance 2.0: Seedance also blocked a couple of generations, just like Kling, but eventually produced a strong result. It delivered the most beautiful and visually appealing footage, but I honestly expected better physics. The video looks great, yet I can’t confidently call it the most physically accurate result. - My ranking: 1. Gemini Omni Flash — not perfect, but the best overall result for me 2. Seedance 2.0 — visually stunning, but I preferred Omni’s physics 3. Grok Imagine 1.5 — cartoonish look and strange running, but still acceptable 4. Kling 3.0 Pro — the longest wait, the strangest physics, and the most inconsistent result Do you agree with my ranking? #AIVideo

Alpha Mom

155,583 次观看 • 2 个月前

We're giving away the prompt we used to make this AI UGC video. Getting Sora 2 to output hyper-realistic, consistent footage isn't just about the tool. The prompt has to be structured in a very specific way... character description, cinematography, camera motion, lighting, dialogue, audio, authenticity keywords. Get it wrong and the footage looks off. Get it right and everything downstream becomes easier. We’re sharing the exact Claude template we use as step one of our AI UGC workflow. It takes a basic brief (who the subject is, where they are, what they're saying, what device it should look like, their accent) and structures all of that into the exact format Sora 2 needs automatically. It sits at the start of a full workflow that runs through Sora 2 for the hook, ElevenLabs for voice cloning, ChatGPT for subject consistency, Nano Banana for B-roll generation and Kling for animation. The whole thing is broken down in the latest D2C Diaries episode. But this prompt is the foundation. Without it, the rest of the workflow is harder than it needs to be. If you're building in this space or testing AI UGC for your brand, this is worth having. Retweet this post and comment PROMPT and I’ll send it over.

Joe Marston | Ecom Growth

17,552 次观看 • 6 个月前

Two weeks in Japan. Hundreds of photos. One creative rabbit hole I couldn’t resist going down. Last year, I created a song as an experiment. I wanted to blend Japanese and English lyrics and see what kind of mood it would create. It turned into something atmospheric and different from anything I’d done before. Then my wife and I spent two incredible weeks in Japan late last year, and the experience stuck with me. Seeing the temples, shrines, and local shops while my wife and I wandered around Kyoto left a lasting impression. When I got back, I realized that the song needed a visual story. So I decided to build a full music video around it. I started by fleshing out the concept and writing a shot list like a real production. Then the fun began. What’s interesting is that many of the locations you see in the video actually started as photos I took while my wife and I wandered around Kyoto. Those images became the foundation for the environments that were later generated and brought to life with AI. It was a fascinating, creative process. Part music creation, part photography, part storytelling, and part AI experimentation. Tools used in the process: Nano Banana Pro (Google Flow) – for image generation Midjourney (Midjourney) – for additional image creation Google VEO3 (Google Flow) – for video generation Kling 3.0 (Kling AI) – for video generation Final Cut Pro (Apple) – for editing SUNO (Suno) – for song generation Amazing how far the creative toolset has come. If you have an idea in your head, you can now actually build it! Take a minute to watch Rain + Light (雨と光) and tell me what stood out to you. Would love to hear your feedback.

Two weeks in Japan. Hundreds of photos. One creative rabbit hole I couldn’t resist going down. Last year, I created a song as an experiment. I wanted to blend Japanese and English lyrics and see what kind of mood it would create. It turned into something atmospheric and different from anything I’d done before. Then my wife and I spent two incredible weeks in Japan late last year, and the experience stuck with me. Seeing the temples, shrines, and local shops while my wife and I wandered around Kyoto left a lasting impression. When I got back, I realized that the song needed a visual story. So I decided to build a full music video around it. I started by fleshing out the concept and writing a shot list like a real production. Then the fun began. What’s interesting is that many of the locations you see in the video actually started as photos I took while my wife and I wandered around Kyoto. Those images became the foundation for the environments that were later generated and brought to life with AI. It was a fascinating, creative process. Part music creation, part photography, part storytelling, and part AI experimentation. Tools used in the process: Nano Banana Pro (Google Flow) – for image generation Midjourney (Midjourney) – for additional image creation Google VEO3 (Google Flow) – for video generation Kling 3.0 (Kling AI) – for video generation Final Cut Pro (Apple) – for editing SUNO (Suno) – for song generation Amazing how far the creative toolset has come. If you have an idea in your head, you can now actually build it! Take a minute to watch Rain + Light (雨と光) and tell me what stood out to you. Would love to hear your feedback.

Chip – onthechain.io

13,399 次观看 • 6 个月前

so, you’ve vibe coded your startup but you’ve got 0 customers (okay maybe even a few) this 49 min video is your fix cody dropped a full paid ads tutorial for bootstrapped founders (google/meta ads, perplexity, heygen, elevenlabs) on The Startup Ideas Podcast (SIP) 🧃: 1/ start transactional → don’t waste year 1 on SEO. get signups tomorrow. 2/ niches > volume → 100 searches/mo can pay your rent for a decade. 3/ google ads setup → phrase match, intent-aligned landing pages, proper tracking. 4/ the ATM analogy → put in $1, get $4 out. that’s ads done right. 5/ conversion funnel secrets → clicks → signups → payments (don’t skip stages). 6/ meta ads strategy → AI avatar videos, valley girl voices in the pro tip, 40+ variations/month, nano banana for images, heygen for videos etc cody paid his rent for ten years off an app targeting a keyword with only 100 searches a month. the perfect ad formula → pain → vision → your product as the bridge. if you’re a founder, you’ll walk away from this episode knowing exactly how to do that people charge $5-10k for tutorials like this enjoy it free and go get some customers i believe in you

GREG ISENBERG

170,165 次观看 • 1 年前

I challenged myself to create a commercial type video based on my country of birth. I am proud of the final product and wish to share it with you all, specially with the fantastic AI community here in X that has given me so much support. Maybe this way you can see a little bit of my surroundings and habitat and know a little bit more about me. This video was created 100% with artificial intelligence. A process that, in a traditional production, would have taken months of work and a full professional team, costing tens of thousands of dollars. I made it alone, in two weeks, without leaving my office. By combining creativity, patience, and a series of cutting-edge tools, I generated between 500–700 images, 200–250 videos, and 20 songs. All of it was curated, edited, and finally unified into one piece. Tools used: 🎨 Midjourney / Nano Banana – image and visual concept generation. 🎥Grok / Veo / Midjourney – video and scene creation. 💻 Photoshop – keyframe retouching and enhancement. 🧠 ChatGPT / Gemini / Grok – scriptwriting, narrative design, and conceptual direction. 🎧 ElevenLabs / Suno AI – original music composition. 🎞️ CapCut / After Effects – final editing and color grading. It was an arduous but deeply rewarding process, a demonstration of what a single creator can achieve when artistic vision meets advanced technology. An experiment… but also proof that the future of creation is already here. #ecuador #AIart #aivideos

I challenged myself to create a commercial type video based on my country of birth. I am proud of the final product and wish to share it with you all, specially with the fantastic AI community here in X that has given me so much support. Maybe this way you can see a little bit of my surroundings and habitat and know a little bit more about me. This video was created 100% with artificial intelligence. A process that, in a traditional production, would have taken months of work and a full professional team, costing tens of thousands of dollars. I made it alone, in two weeks, without leaving my office. By combining creativity, patience, and a series of cutting-edge tools, I generated between 500–700 images, 200–250 videos, and 20 songs. All of it was curated, edited, and finally unified into one piece. Tools used: 🎨 Midjourney / Nano Banana – image and visual concept generation. 🎥Grok / Veo / Midjourney – video and scene creation. 💻 Photoshop – keyframe retouching and enhancement. 🧠 ChatGPT / Gemini / Grok – scriptwriting, narrative design, and conceptual direction. 🎧 ElevenLabs / Suno AI – original music composition. 🎞️ CapCut / After Effects – final editing and color grading. It was an arduous but deeply rewarding process, a demonstration of what a single creator can achieve when artistic vision meets advanced technology. An experiment… but also proof that the future of creation is already here. #ecuador #AIart #aivideos

Toshi

18,356 次观看 • 11 个月前

Free Opus 4.8, GPT 5.5, and Gemini 3.1 Pro. 50 credits, no card. The platform behind it is valued at $4 billion. Most people are burning API credits testing prompts across three different subscriptions. Opus for one thing, GPT for another, Gemini when the other two fail. > ClickUp just made that unnecessary. Sign up with Google or a corporate email. 50 credits land immediately. 1 message costs 1 credit - that's 50 real conversations with Opus 4.8 before you spend a dollar. Models available: Opus 4.8, GPT 5.5, Gemini 3.1 Pro, Gemini 3.5 Flash. Custom MCP support if you want your own tools wired in. This isn't a startup burning VC money on a growth hack. ClickUp was valued at $4 billion in 2021, raised $535M, and runs ~100,000 paying clients - McDonald's, Booking, Netflix, Papa Johns. The AI pivot landed in November 2025. Same infrastructure, same userbase, new models bolted on top. → Go to app(.)clickup(.)com → Sign up with Google → 50 credits land automatically → Pick your model and start Bookmark this before the free tier gets capped.

Free Opus 4.8, GPT 5.5, and Gemini 3.1 Pro. 50 credits, no card. The platform behind it is valued at $4 billion. Most people are burning API credits testing prompts across three different subscriptions. Opus for one thing, GPT for another, Gemini when the other two fail. > ClickUp just made that unnecessary. Sign up with Google or a corporate email. 50 credits land immediately. 1 message costs 1 credit - that's 50 real conversations with Opus 4.8 before you spend a dollar. Models available: Opus 4.8, GPT 5.5, Gemini 3.1 Pro, Gemini 3.5 Flash. Custom MCP support if you want your own tools wired in. This isn't a startup burning VC money on a growth hack. ClickUp was valued at $4 billion in 2021, raised $535M, and runs ~100,000 paying clients - McDonald's, Booking, Netflix, Papa Johns. The AI pivot landed in November 2025. Same infrastructure, same userbase, new models bolted on top. → Go to app(.)clickup(.)com → Sign up with Google → 50 credits land automatically → Pick your model and start Bookmark this before the free tier gets capped.

Atenov int.

10,981 次观看 • 2 个月前

These AI claymation ads are crushing it on Meta right now 🤯 Images, videos, voiceover, music, captions: all made entirely with AI. Perfect for DTC brands and agencies who want ad creative that actually stands out in the Meta feed instead of blending in with every other UGC talking head and static image. If you're running the same creative formats as everyone else — UGC, statics, carousels — and wondering why engagement keeps dropping and CPMs keep climbing... Animated ads break the entire pattern: → They look like nothing else in the feed, so they stop the scroll → They work as paid ads on Meta AND organic content on TikTok, Reels, and Shorts → You can produce them in-house without hiring freelancers or booking a studio → One workflow covers claymation, Pixar, anime, Wes Anderson miniature, retro cartoon, synthwave, and hyperrealistic CGI The workflow uses Claude for all the creative assets, Nano Banana Pro for image generation, Kling 3.0 for animation, Gemini to rewrite the voiceover to match the footage, ElevenLabs for voice, Suno for music, and CapCut for the final edit. Eight steps, one finished ad. I'm giving away every single prompt I used to create this video for free. Want all the prompts? > Like this post > Comment "CLAY" And I'll send them over (must be following so I can DM)

These AI claymation ads are crushing it on Meta right now 🤯 Images, videos, voiceover, music, captions: all made entirely with AI. Perfect for DTC brands and agencies who want ad creative that actually stands out in the Meta feed instead of blending in with every other UGC talking head and static image. If you're running the same creative formats as everyone else — UGC, statics, carousels — and wondering why engagement keeps dropping and CPMs keep climbing... Animated ads break the entire pattern: → They look like nothing else in the feed, so they stop the scroll → They work as paid ads on Meta AND organic content on TikTok, Reels, and Shorts → You can produce them in-house without hiring freelancers or booking a studio → One workflow covers claymation, Pixar, anime, Wes Anderson miniature, retro cartoon, synthwave, and hyperrealistic CGI The workflow uses Claude for all the creative assets, Nano Banana Pro for image generation, Kling 3.0 for animation, Gemini to rewrite the voiceover to match the footage, ElevenLabs for voice, Suno for music, and CapCut for the final edit. Eight steps, one finished ad. I'm giving away every single prompt I used to create this video for free. Want all the prompts? > Like this post > Comment "CLAY" And I'll send them over (must be following so I can DM)

Mike Futia

45,769 次观看 • 5 个月前

$Warner Bros and Netflix executives just froze a $100,000,000 historical epic production after seeing this 48-second clip. A 20-year-old solo creator generated a hyper-realistic scene of a time-traveling travel vlogger interviewing King Leonidas at Thermopylae in 480 BC with zero CGI budget. Total setup cost: $25. Render speed: 4 minutes. Film studio hired: NONE. 142 million views in 3 hours. Half the comments are arguing over the historical accuracy of the 300 Spartans, the other half are demanding a full documentary series. Here is why your brain falls for this visual magic: 1. Dynamic Lip-Sync & Facial Physics: Perfect voice alignment, realistic sweat textures, and organic micro-expressions on both the presenter and Spartan soldiers mid-march. 2. Multi-Agent Cinematic Consistency: Continuous physics rendering of brass armor reflections, dust particulate dynamics, and synchronized footstep impacts. 3. Spatial Camera Logic: Seamless hand-held vlog aesthetic blended with Hollywood-grade depth of field and realistic outdoor light refraction. The dynamic next-gen AI stack operating under the hood: -> Claude 3.7 Sonnet for historical dialogue script, spatial camera vectors, and narrative pacing -> Veo 3.1 for rendering hyper-realistic cinematic lighting, mountain environments, and volumetric dust -> Kling 3.0 Omni for generating multi-character marching mechanics, shield physics, and lip-sync alignment -> Seedance 2.5 for locking facial identity, armor detail consistency, and historical costume accuracy -> ElevenLabs Spatial for 3D binaural shield clashing, marching footsteps, and acoustic voice reverberation -> CapCut Pro for adding raw mobile camera noise, dynamic speed ramps, and historical color grading Hollywood spends hundreds of millions flying 200-person crews to Greece with heavy camera rigs and extra actors. This creator rendered a full-scale ancient battle documentary before her morning coffee got cold. Save this breakdown: the full prompt sequence and workflow pipeline are pinned in the thread.$

Warner Bros and Netflix executives just froze a $100,000,000 historical epic production after seeing this 48-second clip. A 20-year-old solo creator generated a hyper-realistic scene of a time-traveling travel vlogger interviewing King Leonidas at Thermopylae in 480 BC with zero CGI budget. Total setup cost: $25. Render speed: 4 minutes. Film studio hired: NONE. 142 million views in 3 hours. Half the comments are arguing over the historical accuracy of the 300 Spartans, the other half are demanding a full documentary series. Here is why your brain falls for this visual magic: 1. Dynamic Lip-Sync & Facial Physics: Perfect voice alignment, realistic sweat textures, and organic micro-expressions on both the presenter and Spartan soldiers mid-march. 2. Multi-Agent Cinematic Consistency: Continuous physics rendering of brass armor reflections, dust particulate dynamics, and synchronized footstep impacts. 3. Spatial Camera Logic: Seamless hand-held vlog aesthetic blended with Hollywood-grade depth of field and realistic outdoor light refraction. The dynamic next-gen AI stack operating under the hood: -> Claude 3.7 Sonnet for historical dialogue script, spatial camera vectors, and narrative pacing -> Veo 3.1 for rendering hyper-realistic cinematic lighting, mountain environments, and volumetric dust -> Kling 3.0 Omni for generating multi-character marching mechanics, shield physics, and lip-sync alignment -> Seedance 2.5 for locking facial identity, armor detail consistency, and historical costume accuracy -> ElevenLabs Spatial for 3D binaural shield clashing, marching footsteps, and acoustic voice reverberation -> CapCut Pro for adding raw mobile camera noise, dynamic speed ramps, and historical color grading Hollywood spends hundreds of millions flying 200-person crews to Greece with heavy camera rigs and extra actors. This creator rendered a full-scale ancient battle documentary before her morning coffee got cold. Save this breakdown: the full prompt sequence and workflow pipeline are pinned in the thread.

mojesko

1,941,440 次观看 • 5 天前

Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images seem to animate best with Veo 3.1 from testing, but you can try with Kling 2.6 or Grok Imagine as well so have some fun! Feel free to show me your giant humans/animals. 🍌Universal Prompt: A highly detailed, photorealistic [CAMERA ANGLE, e.g., wide-angle shot, aerial shot looking down, extreme low-angle looking up] showing a colossal [DESCRIBE THE PERSON & CLOTHING] positioned in [SPECIFIC LOCATION/CITY/LANDSCAPE]. The giant is [ACTION - INTERACTING WITH THE ENVIRONMENT, e.g., sitting on a building, stepping over a bridge]. To establish the immense scale, tiny [TINY ELEMENTS: PEOPLE, CARS, OR BOATS] are visible near their [FEET/HANDS]. The lighting is [TIME OF DAY, e.g., golden hour, midday sun]. There are more visuals examples with prompts included in my 80 creative use cases document which you can view via this link completely for free. Look for use case 84.

Here is a fun idea to try. You can create these images with giant people/animals using Nano Banana Pro. Just adjust the elements in brackets and have fun! If you have the option to generate at 4K, definitely use it as it makes the tiny people look crisper. These types of images seem to animate best with Veo 3.1 from testing, but you can try with Kling 2.6 or Grok Imagine as well so have some fun! Feel free to show me your giant humans/animals. 🍌Universal Prompt: A highly detailed, photorealistic [CAMERA ANGLE, e.g., wide-angle shot, aerial shot looking down, extreme low-angle looking up] showing a colossal [DESCRIBE THE PERSON & CLOTHING] positioned in [SPECIFIC LOCATION/CITY/LANDSCAPE]. The giant is [ACTION - INTERACTING WITH THE ENVIRONMENT, e.g., sitting on a building, stepping over a bridge]. To establish the immense scale, tiny [TINY ELEMENTS: PEOPLE, CARS, OR BOATS] are visible near their [FEET/HANDS]. The lighting is [TIME OF DAY, e.g., golden hour, midday sun]. There are more visuals examples with prompts included in my 80 creative use cases document which you can view via this link completely for free. Look for use case 84.

Travis Davids

463,378 次观看 • 9 个月前

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

Ben Jacobs

22,468 次观看 • 1 年前

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 次观看 • 4 个月前

Monetizing your own AI app just got really easy. Last week I used YouAI to create an AI-powered bio generator. It took me less than an hour and I didn't need any programming skills. And now it just made it's first sale. All you need is a good idea and some prompting skills. Here's how you can create your own: Step 1: Setup → Go to → Sign up, then click on "new AI" (you can also remix an existing AI if you're lazy) Step 2: Create prompt → Within the "preamble" you can create the main prompt for this AI → In my example I described the assistant's goal (bio generator) and defined the format of the bios → I also added some bio examples to train the AI Step 3: Configure inputs → Now you define what the user inputs when using the AI app → In my case I defined 3 user inputs: - What topic do you tweet about? - What is your background? What have you achieved? - How do you help your followers? The answers are then used as variables to create the bios. Step 4: Publish → Select the underlying model (GPT or Claude) → Keep the app free or turn on monetization → Then publish! Your app will now be available in the YouAI library for others to use YouAI is also doing a live event tomorrow where they'll go into more detail and teach you how to build your own YouAI app: Thank you to YouAI for sponsoring this post! I'm a big fan of their product.

Monetizing your own AI app just got really easy. Last week I used YouAI to create an AI-powered bio generator. It took me less than an hour and I didn't need any programming skills. And now it just made it's first sale. All you need is a good idea and some prompting skills. Here's how you can create your own: Step 1: Setup → Go to → Sign up, then click on "new AI" (you can also remix an existing AI if you're lazy) Step 2: Create prompt → Within the "preamble" you can create the main prompt for this AI → In my example I described the assistant's goal (bio generator) and defined the format of the bios → I also added some bio examples to train the AI Step 3: Configure inputs → Now you define what the user inputs when using the AI app → In my case I defined 3 user inputs: - What topic do you tweet about? - What is your background? What have you achieved? - How do you help your followers? The answers are then used as variables to create the bios. Step 4: Publish → Select the underlying model (GPT or Claude) → Keep the app free or turn on monetization → Then publish! Your app will now be available in the YouAI library for others to use YouAI is also doing a live event tomorrow where they'll go into more detail and teach you how to build your own YouAI app: Thank you to YouAI for sponsoring this post! I'm a big fan of their product.

Moritz Kremb

30,424 次观看 • 3 年前

Balenciaga's legal team woke up to a nightmare: a 20-second clip of Neymar running across the ocean to the Statue of Liberty. Except Neymar never shot it. The boots don’t exist. And the whole thing was rendered on a $25 AI setup by a kid sitting in his bedroom. 52 million views overnight. Half the comments are screaming that it’s fake, the other half are asking for a pre-order link. Here is why your brain thinks it's 100% real: 1. Natural skin textures and facial identity lock on Neymar mid-sprint 2. Real-time water displacement under the boots instead of cheap floating physics 3. A single unbroken tracking shot that mimics a real iPhone recording The dynamic stack behind it: -> Claude 3.7 Sonnet for writing the physical motion vectors and spatial logic -> Kling AI 2.0 for generating Neymar's sprint mechanics and water splash impacts -> Luma Dream Machine for locking the horizon and perspective depth -> ElevenLabs for spatial binaural audio synced to every single splash -> CapCut for adding raw mobile camera noise and lens glare Balenciaga and Nike spend $4M to fly a superstar like Neymar to a private island with a 40-person crew. This kid did the exact same numbers before his morning coffee got cold. Save this breakdown: the full prompt sequence is pinned in the thread.

Balenciaga's legal team woke up to a nightmare: a 20-second clip of Neymar running across the ocean to the Statue of Liberty. Except Neymar never shot it. The boots don’t exist. And the whole thing was rendered on a $25 AI setup by a kid sitting in his bedroom. 52 million views overnight. Half the comments are screaming that it’s fake, the other half are asking for a pre-order link. Here is why your brain thinks it's 100% real: 1. Natural skin textures and facial identity lock on Neymar mid-sprint 2. Real-time water displacement under the boots instead of cheap floating physics 3. A single unbroken tracking shot that mimics a real iPhone recording The dynamic stack behind it: -> Claude 3.7 Sonnet for writing the physical motion vectors and spatial logic -> Kling AI 2.0 for generating Neymar's sprint mechanics and water splash impacts -> Luma Dream Machine for locking the horizon and perspective depth -> ElevenLabs for spatial binaural audio synced to every single splash -> CapCut for adding raw mobile camera noise and lens glare Balenciaga and Nike spend $4M to fly a superstar like Neymar to a private island with a 40-person crew. This kid did the exact same numbers before his morning coffee got cold. Save this breakdown: the full prompt sequence is pinned in the thread.

mojesko

5,271,059 次观看 • 7 天前