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Not long ago, AI video was mostly five-second clips that barely held together. After testing Kling 4.0 Flash ahead of the October launch, I generated a short cinematic scene and the same character stayed consistent across every angle, no subtle drift, no "close but not quite" faces. Combined with... show more

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21,877 görüntüleme • 5 gün önce •via X (Twitter)

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AI video creators know the pain: same character, different voice every scene 😭 In this clip, I used Kling 2.6 Voice Control to lock a character’s voice and keep it consistent across the entire video 👇 #KlingAI #Kling26 #voicecontrol

AI video creators know the pain: same character, different voice every scene 😭 In this clip, I used Kling 2.6 Voice Control to lock a character’s voice and keep it consistent across the entire video 👇 #KlingAI #Kling26 #voicecontrol

Parul Gautam

504,681 görüntüleme • 9 ay önce

Kling 3.0 for AI UGC videos is absolutely insane 🤯 I spent 25,000+ credits in Kling perfecting the ultimate prompting framework to get the best AI UGC outputs possible. And the 3.0 update just made everything even better. Perfect for DTC brands and agencies who want high-quality AI UGC without paying $500/video for actual UGC. Here's what Kling 3.0 unlocks for AI UGCL → "AI Director" system that understands full scripts and auto-schedules camera angles (shot/reverse shot) in one generation → 3 to 15 second cinematic clips with full temporal coherence → Improved character and element locking so your subject stays consistent across shots and angles → Native 4K output for both video and stills — actually usable for professional ad creative And best of all: perfect character consistency ACROSS different shots. What this means for AI UGC: - Multi-shot storytelling in a single generation cycle - Longer clips that actually hold together - Consistent characters across your entire ad - Output quality that's ready for paid media This is the closest AI video has gotten to replacing a real shoot for performance creative. I recorded a full breakdown of the prompting framework I built after burning through 25,000 credits. Want access to all the prompts I use to create AI UGC with Kling? > Like this post > Comment "KLING" And I'll send it over (must be following so I can DM)

Kling 3.0 for AI UGC videos is absolutely insane 🤯 I spent 25,000+ credits in Kling perfecting the ultimate prompting framework to get the best AI UGC outputs possible. And the 3.0 update just made everything even better. Perfect for DTC brands and agencies who want high-quality AI UGC without paying $500/video for actual UGC. Here's what Kling 3.0 unlocks for AI UGCL → "AI Director" system that understands full scripts and auto-schedules camera angles (shot/reverse shot) in one generation → 3 to 15 second cinematic clips with full temporal coherence → Improved character and element locking so your subject stays consistent across shots and angles → Native 4K output for both video and stills — actually usable for professional ad creative And best of all: perfect character consistency ACROSS different shots. What this means for AI UGC: - Multi-shot storytelling in a single generation cycle - Longer clips that actually hold together - Consistent characters across your entire ad - Output quality that's ready for paid media This is the closest AI video has gotten to replacing a real shoot for performance creative. I recorded a full breakdown of the prompting framework I built after burning through 25,000 credits. Want access to all the prompts I use to create AI UGC with Kling? > Like this post > Comment "KLING" And I'll send it over (must be following so I can DM)

Mike Futia

25,633 görüntüleme • 8 ay önce

Just tested Gemini Omni Flash on Pollo AI and this was pretty impressive. Started with one AI character and changed the whole direction of the video with simple prompts. Same person, different environments: → Startup office → Futuristic AI lab → Premium business scene The best part? The character stayed consistent while everything around it changed. This kind of workflow makes experimenting with AI video much easier. Link in the comments.

Just tested Gemini Omni Flash on Pollo AI and this was pretty impressive. Started with one AI character and changed the whole direction of the video with simple prompts. Same person, different environments: → Startup office → Futuristic AI lab → Premium business scene The best part? The character stayed consistent while everything around it changed. This kind of workflow makes experimenting with AI video much easier. Link in the comments.

Ace

110,209 görüntüleme • 2 ay önce

I wanted to see how well Kling 4.0 could handle a cinematic Wuxian action sequence, especially with all the fast movements and camera changes involved. What impressed me most was how naturally the action flowed. The character movements felt coordinated, the camera followed the action smoothly, and the overall scene had that cinematic martial arts film feeling I was going for. This is the kind of control I’ve been wanting from AI video generation. Instead of just producing beautiful frames, Kling AI 4.0 is making complex action storytelling feel much more achievable. Here’s how it turned out 👇

I wanted to see how well Kling 4.0 could handle a cinematic Wuxian action sequence, especially with all the fast movements and camera changes involved. What impressed me most was how naturally the action flowed. The character movements felt coordinated, the camera followed the action smoothly, and the overall scene had that cinematic martial arts film feeling I was going for. This is the kind of control I’ve been wanting from AI video generation. Instead of just producing beautiful frames, Kling AI 4.0 is making complex action storytelling feel much more achievable. Here’s how it turned out 👇

AI with MERLIN

52,153 görüntüleme • 5 gün önce

Most AI video models break under rain, crowds, reflections, and motion. HappyHorse 1.0 handled all four. I pushed it with a cinematic cyberpunk scene full of: • heavy rain physics • neon reflections • crowd movement • dynamic camera motion • synchronized environmental audio The realism genuinely surprised me. This is one of the first AI video models where the atmosphere feels alive, not just generated.

Most AI video models break under rain, crowds, reflections, and motion. HappyHorse 1.0 handled all four. I pushed it with a cinematic cyberpunk scene full of: • heavy rain physics • neon reflections • crowd movement • dynamic camera motion • synchronized environmental audio The realism genuinely surprised me. This is one of the first AI video models where the atmosphere feels alive, not just generated.

Diana Osire

104,271 görüntüleme • 4 ay önce

Dear Kling AI Please fix your lip-sync for Non-Human characters! How can you "Not Detect a Face" in this video?!? I love the action and the camera move but I can't add dialogue to this scene.

Dear Kling AI Please fix your lip-sync for Non-Human characters! How can you "Not Detect a Face" in this video?!? I love the action and the camera move but I can't add dialogue to this scene.

Bogdan Orlic 🇨🇦

12,891 görüntüleme • 1 yıl önce

clawdbot + kling = ai “transformation” ads printing right now no real creators no months of filming no before/after pipelines just viral-style clips generated at scale look at formats like this beach hook problem callout gym transformation 3 different angles, same outcome each video hits a new trigger “if your husband…” “kill the belly…” “dad bod to this…” all ai generated same structure reused different scenarios layered on here’s the system → clawdbot builds hooks, angles, and scripts → kling generates scenes, characters, transformations → capcut handles pacing, captions, retention each video tests a new angle same goal different entry point most brands rely on one winning creative this runs dozens every week winners scale losers get replaced instantly ai didn’t improve creatives it multiplied testing rt + comment “angles” and i’ll send the setup (follow for dm)

clawdbot + kling = ai “transformation” ads printing right now no real creators no months of filming no before/after pipelines just viral-style clips generated at scale look at formats like this beach hook problem callout gym transformation 3 different angles, same outcome each video hits a new trigger “if your husband…” “kill the belly…” “dad bod to this…” all ai generated same structure reused different scenarios layered on here’s the system → clawdbot builds hooks, angles, and scripts → kling generates scenes, characters, transformations → capcut handles pacing, captions, retention each video tests a new angle same goal different entry point most brands rely on one winning creative this runs dozens every week winners scale losers get replaced instantly ai didn’t improve creatives it multiplied testing rt + comment “angles” and i’ll send the setup (follow for dm)

Florin

10,555 görüntüleme • 6 ay önce

One of the most intense experiences I remember in a movie theater was watching the Normandy landing in Saving Private Ryan. I wanted to recreate the moment of the landing crafts with Kling AI 3.0, and while it’s obviously not on the same level as Spielberg’s film, this clip shows how AI is getting closer and closer to true cinematic excellence.

One of the most intense experiences I remember in a movie theater was watching the Normandy landing in Saving Private Ryan. I wanted to recreate the moment of the landing crafts with Kling AI 3.0, and while it’s obviously not on the same level as Spielberg’s film, this clip shows how AI is getting closer and closer to true cinematic excellence.

OscarAI

13,304 görüntüleme • 8 ay önce

Most video tools can generate clips. Very few can maintain identity. That has been the real bottleneck in AI video creation. Kling O1 changes that. For the first time, creators can carry a character, style, and visual language across scenes without constant fixes. You can reference past clips, assets, or images and the output stays consistently on-model. No visual drift. No rework loops. No “this doesn’t look like the last shot” moments. It feels less like prompting a tool and more like working with a creative collaborator that remembers context. The impact is practical, not theoretical: → Faster production cycles → Lower iteration costs → Noticeably higher output quality This is what mature AI tooling looks like. Not louder features. Not bigger claims. Just reliability where it actually matters. Consistency is no longer the problem.

Most video tools can generate clips. Very few can maintain identity. That has been the real bottleneck in AI video creation. Kling O1 changes that. For the first time, creators can carry a character, style, and visual language across scenes without constant fixes. You can reference past clips, assets, or images and the output stays consistently on-model. No visual drift. No rework loops. No “this doesn’t look like the last shot” moments. It feels less like prompting a tool and more like working with a creative collaborator that remembers context. The impact is practical, not theoretical: → Faster production cycles → Lower iteration costs → Noticeably higher output quality This is what mature AI tooling looks like. Not louder features. Not bigger claims. Just reliability where it actually matters. Consistency is no longer the problem.

Darshal Jaitwar

141,038 görüntüleme • 9 ay önce

Most AI video generators can animate a product. Keeping it accurate is another story. I tested Pollo AI Commerce Studio with a Versace perfume listing and was impressed by how well it preserved the original product. The bottle looked consistent from scene to scene, with accurate colors, recognizable branding, and details that stayed true to the original image throughout the video. The final result felt more like a luxury fragrance commercial than an AI-generated video. With over 100 templates and no prompts required, creating high-quality product videos feels surprisingly effortless.

Most AI video generators can animate a product. Keeping it accurate is another story. I tested Pollo AI Commerce Studio with a Versace perfume listing and was impressed by how well it preserved the original product. The bottle looked consistent from scene to scene, with accurate colors, recognizable branding, and details that stayed true to the original image throughout the video. The final result felt more like a luxury fragrance commercial than an AI-generated video. With over 100 templates and no prompts required, creating high-quality product videos feels surprisingly effortless.

Calira

28,965 görüntüleme • 3 ay önce

What does all this mean for culture? If you are watching my AI Influencer list here on X you'll see a ton of people posting various videos generated by AI, like this one that Justine posted last week, done with Kling AI Tonight I had some fun. My wife shot a video of me crawling on the floor being a goofball. Kling turned me into an evil 1X robot in a few minutes. Ahh, the kids and I are gonna have some fun with this one! Done with kling 2.6 motion control.

What does all this mean for culture? If you are watching my AI Influencer list here on X you'll see a ton of people posting various videos generated by AI, like this one that Justine posted last week, done with Kling AI Tonight I had some fun. My wife shot a video of me crawling on the floor being a goofball. Kling turned me into an evil 1X robot in a few minutes. Ahh, the kids and I are gonna have some fun with this one! Done with kling 2.6 motion control.

Robert Scoble

21,335 görüntüleme • 8 ay önce

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale

Miko

29,467 görüntüleme • 9 ay önce

Most AI video tools still expect you to be a prompt engineer. Pollo AI Commerce Studio doesn't. I pasted an Amazon glow serum listing, selected a template, and generated a product showcase video in minutes. What impressed me most wasn't the speed, it was the consistency. The serum bottle stayed accurate throughout the video, with the packaging, colors, and branding closely matching the original product image across every scene. No weird product changes. No prompt tweaking. No editing required. 100+ templates. Zero prompts. Built for e-commerce sellers.

Most AI video tools still expect you to be a prompt engineer. Pollo AI Commerce Studio doesn't. I pasted an Amazon glow serum listing, selected a template, and generated a product showcase video in minutes. What impressed me most wasn't the speed, it was the consistency. The serum bottle stayed accurate throughout the video, with the packaging, colors, and branding closely matching the original product image across every scene. No weird product changes. No prompt tweaking. No editing required. 100+ templates. Zero prompts. Built for e-commerce sellers.

Noor

13,936 görüntüleme • 3 ay önce

Kling 2.6 Motion Capture is so good. It's a huge leap forward. We've been able to do motion capture with AI for a while, but the quality bump finally made this approach useful. Here are the steps: - Get a reference video - record it or get a stock video - Grab the start frame of that video - Edit it using Nano Banana Pro. Ask to replace character and background. - Select the Kling 2.6 Motion Capture model in the video generator on Freepik (now Magnific) - Upload reference video + set the edited start frame - Video prompt can be simple e.g. "Gandalf dancing"

Kling 2.6 Motion Capture is so good. It's a huge leap forward. We've been able to do motion capture with AI for a while, but the quality bump finally made this approach useful. Here are the steps: - Get a reference video - record it or get a stock video - Grab the start frame of that video - Edit it using Nano Banana Pro. Ask to replace character and background. - Select the Kling 2.6 Motion Capture model in the video generator on Freepik (now Magnific) - Upload reference video + set the edited start frame - Video prompt can be simple e.g. "Gandalf dancing"

Martin LeBlanc

35,274 görüntüleme • 9 ay önce

It's crazy how easy AI video editing has become. 🤯 This was made using Mimic Motion in the Pollo AI app. I simply used a motion reference video together with another image, and the app recreated the same movements, all directly on my phone! No complicated editing or desktop software required. Just a few taps and the result is ready.

It's crazy how easy AI video editing has become. 🤯 This was made using Mimic Motion in the Pollo AI app. I simply used a motion reference video together with another image, and the app recreated the same movements, all directly on my phone! No complicated editing or desktop software required. Just a few taps and the result is ready.

Jack

30,100 görüntüleme • 2 ay önce

"Where will AI get its compute?" We generated this video - character, voice, acting - with a single prompt on LTX-2.3. The model runs on consumer-grade GPUs. The same ones sitting in your PC right now. That's the whole point of DePIN. Your hardware powers AI that didn't exist two years ago. And you get paid for it.

"Where will AI get its compute?" We generated this video - character, voice, acting - with a single prompt on LTX-2.3. The model runs on consumer-grade GPUs. The same ones sitting in your PC right now. That's the whole point of DePIN. Your hardware powers AI that didn't exist two years ago. And you get paid for it.

GamerHash AI

430,760 görüntüleme • 5 ay önce

This AI-generated girl is turning ordinary bowling clips into viral content. The formula is ridiculously simple: She walks into a bowling alley. Picks up a ball. Throws it. Smiles for the camera. But something about the character, the setting, and the realistic movement makes people stop scrolling. One video gets attention. Another gets shared. Then another crosses millions of views. And the crazy part? There’s no actress. No bowling trip. No filming crew. No expensive production. The entire character and every scene can be created with AI. Change the outfit. Change the location. Change the activity. Keep the same face. Suddenly you have an endless content machine built around one recognizable character. The real opportunity isn’t creating one viral AI video. It’s creating a character people recognize - and then putting her everywhere. Bowling today. Beach tomorrow. Gym next week. Same girl. Different scene. Millions of possible videos. And once the audience is there, the views can turn into brand deals, affiliate revenue, product promotions and more. AI isn’t just generating images anymore. It’s creating characters that can become entire media brands.

genuenci

140,143 görüntüleme • 1 ay önce

Two burgers. Same calories. Very different construction. Nano Banana Pro + Kling 2.5 Turbo I generated this AI effect for Impossible Foods in 10 mins with the new AI system my team and I are building. Insane 🤯 The system creates two high-quality images of a regular burger and a plant-based burger along with their deconstructed elements via Nano Banana Pro. Then, it animates the transition between the 2 images with Kling 2.5 Turbo. The combined effect? A visual that sparks online debate and awareness for the burger company. RT & Comment 'BURGER' if you want me to DM you early access to the system as well as all the prompts I used for this!! (must follow for auto dm to send)

Two burgers. Same calories. Very different construction. Nano Banana Pro + Kling 2.5 Turbo I generated this AI effect for Impossible Foods in 10 mins with the new AI system my team and I are building. Insane 🤯 The system creates two high-quality images of a regular burger and a plant-based burger along with their deconstructed elements via Nano Banana Pro. Then, it animates the transition between the 2 images with Kling 2.5 Turbo. The combined effect? A visual that sparks online debate and awareness for the burger company. RT & Comment 'BURGER' if you want me to DM you early access to the system as well as all the prompts I used for this!! (must follow for auto dm to send)

David Roberts

30,429 görüntüleme • 9 ay önce

most AI video tools do one thing okay and everything else terribly. I gave Wizstar AI a single photo and it built a full marketing video with lip-synced voiceover, translated it into another language, and kept the same character across every scene. Try it → here's a demo I made by myself and I got surprised: → no product distortion or unwanted changes → smooth motion without lag or deformation → consistent product appearance, details, and branding

most AI video tools do one thing okay and everything else terribly. I gave Wizstar AI a single photo and it built a full marketing video with lip-synced voiceover, translated it into another language, and kept the same character across every scene. Try it → here's a demo I made by myself and I got surprised: → no product distortion or unwanted changes → smooth motion without lag or deformation → consistent product appearance, details, and branding

Muhammad Ayan

56,382 görüntüleme • 3 ay önce