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Seedance 2.0 vs Unreal Engine 5 Motion Capture. Same story 3 years apart. My UE5 short was mocapped in 3 hours using 1 mocap suit and 4 different actors. Was it more work? Absolutely. But the performance was real. The body language, timing, reactions, little human imperfections — you... show more

JSFILMZ

10,355 subscribers

13,787 次观看 • 2 个月前 •via X (Twitter)

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Seedance 2.0 vs Gemini Omni, tested under the same conditions 👀 I was working on a new storyboard. After generating it with Seedance 2.0, I gave the exact same prompt + storyboard reference + character reference to Gemini Omni as well. Result: Gemini Omni surprised me with style quality and got closer than I expected in prompt adherence. But Seedance still feels ahead for storyboard execution, motion energy, camera language and environmental interaction. Gemini looks good. Seedance feels directed. You can see them in the video and the storyboard sheet is shown at the end. Which one do you think is more useful for this kind of work?

Seedance 2.0 vs Gemini Omni, tested under the same conditions 👀 I was working on a new storyboard. After generating it with Seedance 2.0, I gave the exact same prompt + storyboard reference + character reference to Gemini Omni as well. Result: Gemini Omni surprised me with style quality and got closer than I expected in prompt adherence. But Seedance still feels ahead for storyboard execution, motion energy, camera language and environmental interaction. Gemini looks good. Seedance feels directed. You can see them in the video and the storyboard sheet is shown at the end. Which one do you think is more useful for this kind of work?

Kōda

36,082 次观看 • 3 个月前

I was just informed this Seedance 2.0 short film was selected to be streamed on Roku, Xumo, and other platforms in early August. It now has 55K views on YouTube with 3k likes almost 1k comments. See I tried making this short with Unreal Engine 5 MetaHumans. Studio wanted $10K just to rent the space and mocap suits. I paid an animator $900 for a test animation. It looked like crap. Last month, I used Seedance 2.0 and finished the short in 4 days. It now has 55K views on YouTube. If you still think AI filmmaking is about laziness… You’re not paying attention.

I was just informed this Seedance 2.0 short film was selected to be streamed on Roku, Xumo, and other platforms in early August. It now has 55K views on YouTube with 3k likes almost 1k comments. See I tried making this short with Unreal Engine 5 MetaHumans. Studio wanted $10K just to rent the space and mocap suits. I paid an animator $900 for a test animation. It looked like crap. Last month, I used Seedance 2.0 and finished the short in 4 days. It now has 55K views on YouTube. If you still think AI filmmaking is about laziness… You’re not paying attention.

JSFILMZ

36,502 次观看 • 4 个月前

Caved in and finished this full 2.5-minute short film using Grok Imagine Video 1.5 Preview. 🎥 The inspiration for this is deeply personal. When I was a teenager, my grandma fell into a coma before passing. I used to wonder what she was dreaming about, and thought it would be beautiful if she was just reliving her best moments. Also fun fact: I actually made this exact same short in Unreal Engine 5 with talented folks I met online using mocap. AI is convenient, but performance-wise? I still prefer humans because they can pull from real life experiences to deliver lines with that genuine emotional depth. But if hiring actors isn't viable, Grok 1.5 is a wild tool. If you want to check out the Unreal Engine version, the video is below! 👇

Caved in and finished this full 2.5-minute short film using Grok Imagine Video 1.5 Preview. 🎥 The inspiration for this is deeply personal. When I was a teenager, my grandma fell into a coma before passing. I used to wonder what she was dreaming about, and thought it would be beautiful if she was just reliving her best moments. Also fun fact: I actually made this exact same short in Unreal Engine 5 with talented folks I met online using mocap. AI is convenient, but performance-wise? I still prefer humans because they can pull from real life experiences to deliver lines with that genuine emotional depth. But if hiring actors isn't viable, Grok 1.5 is a wild tool. If you want to check out the Unreal Engine version, the video is below! 👇

JSFILMZ

13,554 次观看 • 3 个月前

📖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 次观看 • 2 个月前

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

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

Reid Hannaford

527,466 次观看 • 2 个月前

FIRST TEST Seedance 2.0! From my initial tests, this is one of the more impressive AI video models I’ve tried so far. Dynamic motion feels fluid, prompt adherence is solid, and the efficiency really stood out, very little iteration needed. Everything you see here was generated using just one reference image + one prompt. I also tested a 3×3 image grid with no prompt at all, and the results stayed surprisingly consistent. Another highlight: sound design is already included, and it actually works really well. Tested via BytePlus 👉 More detail and access link to try Seedance 2.0 is in the comments.

FIRST TEST Seedance 2.0! From my initial tests, this is one of the more impressive AI video models I’ve tried so far. Dynamic motion feels fluid, prompt adherence is solid, and the efficiency really stood out, very little iteration needed. Everything you see here was generated using just one reference image + one prompt. I also tested a 3×3 image grid with no prompt at all, and the results stayed surprisingly consistent. Another highlight: sound design is already included, and it actually works really well. Tested via BytePlus 👉 More detail and access link to try Seedance 2.0 is in the comments.

Dinda Prasetyo

45,450 次观看 • 7 个月前

NIGHTBORNE is the first full test AI film I have made. It was made using Seedance 2.0. I've been experimenting with AI for a couple of years, and it's now at the point where I want to tackle a full feature in this format. This is a 13-minute test start. It was made with real concept artists, and features the faces and voices of 32 real people. Barley Studios will be my new AI studio for creating my own films, the way Oats Studios was for traditional film and VFX. Barley studios Full film in the reply.

NIGHTBORNE is the first full test AI film I have made. It was made using Seedance 2.0. I've been experimenting with AI for a couple of years, and it's now at the point where I want to tackle a full feature in this format. This is a 13-minute test start. It was made with real concept artists, and features the faces and voices of 32 real people. Barley Studios will be my new AI studio for creating my own films, the way Oats Studios was for traditional film and VFX. Barley studios Full film in the reply.

Neill Blomkamp

2,044,729 次观看 • 1 个月前

Seedance 2.0 is insane. Blender previs is having a moment in AI filmmaking for a reason. I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene. The workflow: 1. Make a start image in Midjourney 2. Block it out in Blender, animate the camera 3. Feed both to Seedance The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far. Seedance still isn't perfect at matching the reference but it's close. You can experiment with staging, timing, and camera movement before you ever touch the video model. Solve the scene before you generate the shot.

Seedance 2.0 is insane. Blender previs is having a moment in AI filmmaking for a reason. I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene. The workflow: 1. Make a start image in Midjourney 2. Block it out in Blender, animate the camera 3. Feed both to Seedance The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far. Seedance still isn't perfect at matching the reference but it's close. You can experiment with staging, timing, and camera movement before you ever touch the video model. Solve the scene before you generate the shot.

Reid Hannaford

225,545 次观看 • 2 个月前

We all needed this part. The beginning was too good. You can just tell how fun she’d be in real life. But that jumpscare? Biggest one of my life. I knew something was coming and it still destroyed me.

We all needed this part. The beginning was too good. You can just tell how fun she’d be in real life. But that jumpscare? Biggest one of my life. I knew something was coming and it still destroyed me.

Gift

33,264 次观看 • 27 天前

Been using AI video tools for 2 years. My real complaint was never quality, it was the grind. Generate, hate it, generate again, sometimes a dozen times before something's usable. Seedance Enterprise 2.5 gave me a usable result on generation for this one. That's the difference that actually matters. Made this on BytePlus Lumina, with Seedream and Seed Audio feeding the references. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

Been using AI video tools for 2 years. My real complaint was never quality, it was the grind. Generate, hate it, generate again, sometimes a dozen times before something's usable. Seedance Enterprise 2.5 gave me a usable result on generation for this one. That's the difference that actually matters. Made this on BytePlus Lumina, with Seedream and Seed Audio feeding the references. Seedance 2.5 API is about to launch on BytePlus, and now you can try it directly on Lumina.

Gina Acosta

57,106 次观看 • 1 个月前

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Curious Refuge

58,989 次观看 • 6 个月前

veo 3.1 fast vs seedance 2.0 vs grok imagine vs happyhorse 1.1 four video models pulled from the openrouter video leaderboard by request count this week (skipping the duplicate google/bytedance variants to get four distinct labs): #1 veo 3.1 fast (Google DeepMind) – 45k requests #3 seedance 2.0 (bytedance) – 22k requests #5 grok imagine video (SpaceXAI) – 9k requests #8 happyhorse 1.1 (Alibaba Group) – 4k requests so we tested them. 3 prompts, text-to-video, 16:9 / 720p / 8s, real-player likeness fed in as reference images where the model allowed it. all run via AI/ML API in the run-up to the 2026 world cup final – argentina vs spain – we built three broadcast moments from that tie. each one has to be mechanically correct, not just pretty: • stadium flyover – 80k-seat bowl, argentina vs spain, one continuous descending aerial spiral, tifo + flares, golden-hour / floodlight split • penalty – lamine yamal (spain #19) vs emiliano martínez (argentina keeper): run-up, single strike, full-stretch dive, ball in the net. real faces via reference • free kick – messi 25m out, five-man wall, curl up and over the wall into the top corner. the wall has to face the ball with arms pinned down, like a real wall the takeaway up front: the gap that decides this isn't quality – it's moderation. three of the four refuse to render real footballers' faces (grok was the only one that took every reference), so most of the test had to be reshot "faceless" – camera behind the player. the price spread on top of that is ~4x overall results: cost #1 grok – $1.56 #2 veo 3.1 fast – $3.12 #3 happyhorse – $4.38 #4 seedance 2.0 – $6.00 generation time #1 grok – 4m 16s #2 veo 3.1 fast – 4m 26s #3 happyhorse – 8m 16s #4 seedance 2.0 – 10m 38s avg bitrate (picture density) #1 grok – 12.0 mbps #2 veo 3.1 fast – 11.1 mbps #3 happyhorse – 7.4 mbps #4 seedance 2.0 – 5.3 mbps real faces allowed ✅ grok – took every reference ❌ happyhorse – yamal ok, messi blocked ❌ veo – blocked ❌ seedance – blocked observations: 1. moderation is the whole story. three of the four blocked at least one real face – veo and seedance refused every reference outright, happyhorse took yamal but rejected messi. only grok rendered all of them. everything else had to be shot from behind so no face shows 2. grok is the outlier: cheapest, densest picture, fastest, and the only one that renders real faces. it won on every axis that mattered here 3. seedance is the anti-grok – 4x the cost, 2.5x the time, half the bitrate, and no real faces. worst value in the set 4. none of them understand football out of the box follow thehype. for 24/7 ai news, analysis and breakdowns

veo 3.1 fast vs seedance 2.0 vs grok imagine vs happyhorse 1.1 four video models pulled from the openrouter video leaderboard by request count this week (skipping the duplicate google/bytedance variants to get four distinct labs): #1 veo 3.1 fast (Google DeepMind) – 45k requests #3 seedance 2.0 (bytedance) – 22k requests #5 grok imagine video (SpaceXAI) – 9k requests #8 happyhorse 1.1 (Alibaba Group) – 4k requests so we tested them. 3 prompts, text-to-video, 16:9 / 720p / 8s, real-player likeness fed in as reference images where the model allowed it. all run via AI/ML API in the run-up to the 2026 world cup final – argentina vs spain – we built three broadcast moments from that tie. each one has to be mechanically correct, not just pretty: • stadium flyover – 80k-seat bowl, argentina vs spain, one continuous descending aerial spiral, tifo + flares, golden-hour / floodlight split • penalty – lamine yamal (spain #19) vs emiliano martínez (argentina keeper): run-up, single strike, full-stretch dive, ball in the net. real faces via reference • free kick – messi 25m out, five-man wall, curl up and over the wall into the top corner. the wall has to face the ball with arms pinned down, like a real wall the takeaway up front: the gap that decides this isn't quality – it's moderation. three of the four refuse to render real footballers' faces (grok was the only one that took every reference), so most of the test had to be reshot "faceless" – camera behind the player. the price spread on top of that is ~4x overall results: cost #1 grok – $1.56 #2 veo 3.1 fast – $3.12 #3 happyhorse – $4.38 #4 seedance 2.0 – $6.00 generation time #1 grok – 4m 16s #2 veo 3.1 fast – 4m 26s #3 happyhorse – 8m 16s #4 seedance 2.0 – 10m 38s avg bitrate (picture density) #1 grok – 12.0 mbps #2 veo 3.1 fast – 11.1 mbps #3 happyhorse – 7.4 mbps #4 seedance 2.0 – 5.3 mbps real faces allowed ✅ grok – took every reference ❌ happyhorse – yamal ok, messi blocked ❌ veo – blocked ❌ seedance – blocked observations: 1. moderation is the whole story. three of the four blocked at least one real face – veo and seedance refused every reference outright, happyhorse took yamal but rejected messi. only grok rendered all of them. everything else had to be shot from behind so no face shows 2. grok is the outlier: cheapest, densest picture, fastest, and the only one that renders real faces. it won on every axis that mattered here 3. seedance is the anti-grok – 4x the cost, 2.5x the time, half the bitrate, and no real faces. worst value in the set 4. none of them understand football out of the box follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

15,453 次观看 • 1 个月前

I screened this latest AI short in Paris for the Prompt Club alongside a great showcase for French AI filmmaking talent. I think we have reached a tipping point where the quality of the models is no longer an obstacle to telling the story. Sure, there are problems with detail at distance, dynamic movement, and more than one character speaking or doing complex movement at the same time but nothing a director with awareness of the models can’t overcome. Kling motion control is a massive unlock, in this short I am playing all the characters so it’s quite broad because I am not an actor, but I have seen it used with professional actors and it captures real nuanced human performance, with everything that brings. I will be employing professional actors for my films in the future. This was made predominantly with Kling 2.5, and 2.6 motion with some seedance shots on the wider 2-shots. We are there, now go make your thing!

I screened this latest AI short in Paris for the Prompt Club alongside a great showcase for French AI filmmaking talent. I think we have reached a tipping point where the quality of the models is no longer an obstacle to telling the story. Sure, there are problems with detail at distance, dynamic movement, and more than one character speaking or doing complex movement at the same time but nothing a director with awareness of the models can’t overcome. Kling motion control is a massive unlock, in this short I am playing all the characters so it’s quite broad because I am not an actor, but I have seen it used with professional actors and it captures real nuanced human performance, with everything that brings. I will be employing professional actors for my films in the future. This was made predominantly with Kling 2.5, and 2.6 motion with some seedance shots on the wider 2-shots. We are there, now go make your thing!

Uncanny Harry AI

10,263 次观看 • 7 个月前

I had the chance to test FLUX 3, and my goal was clear. I wanted to go straight into testing some local vernacular nuances, because that’s all I care about. I don’t bother doing cinematic or Hollywood stuff because I know that's what everyone will do 😆😁 So i let that to them so i can I just go straight into doing the raw stuff. And HOOLLLYYY FVVVKIN SH****T ANJAAAYYY GIILLAAAA!!! It looks soooo damn impressive!!! 😂😂 I’m shocked, like, literally shocked, because I underestimated FLUX 3. I’m genuinely shocked by how good the training data is. The nuances of the dialect, the gesture, the intonation and such were somehow much better than Seedance 2.0!!! Althooooo, in terms of dynamic performance, I still think Seedance 2.0 is still much better. But FLUX 3 is definitely above Kling 3.0 and below Seedance 2.0. In some parts, FLUX 3 can still get very glitchy or distorted, but regarding its raw and natural nuances, which is an aesthetic I’m always pushing, it’s sooooooooo damn good! I definitely need to test it more. I really hope we can have an Omni-References feature as well! I'm kinda happy because at least we have another strong alternative besides Seedance 2.0.

I had the chance to test FLUX 3, and my goal was clear. I wanted to go straight into testing some local vernacular nuances, because that’s all I care about. I don’t bother doing cinematic or Hollywood stuff because I know that's what everyone will do 😆😁 So i let that to them so i can I just go straight into doing the raw stuff. And HOOLLLYYY FVVVKIN SH****T ANJAAAYYY GIILLAAAA!!! It looks soooo damn impressive!!! 😂😂 I’m shocked, like, literally shocked, because I underestimated FLUX 3. I’m genuinely shocked by how good the training data is. The nuances of the dialect, the gesture, the intonation and such were somehow much better than Seedance 2.0!!! Althooooo, in terms of dynamic performance, I still think Seedance 2.0 is still much better. But FLUX 3 is definitely above Kling 3.0 and below Seedance 2.0. In some parts, FLUX 3 can still get very glitchy or distorted, but regarding its raw and natural nuances, which is an aesthetic I’m always pushing, it’s sooooooooo damn good! I definitely need to test it more. I really hope we can have an Omni-References feature as well! I'm kinda happy because at least we have another strong alternative besides Seedance 2.0.

MXVDXN // DAN

28,004 次观看 • 1 个月前

The first fully AI-generated movie just went viral in Cannes. The film is called Hell Grind. According to reports, it was made using Higgsfield AI in around 14 days, cost about $500,000 and roughly $400,000 of that went to compute. For context, a traditional Hollywood feature can take 1-3 years and cost tens of millions to produce. This one was created by a team of about 15 directors, cinematographers, and editors using AI tools like Higgsfield’s Soul Cinema, Seedance 2.0 and other video models. The craziest part? For just the first 25 minutes, CineD reported they generated 16,181 clips to get 253 final shots. That’s roughly 64 attempts for every shot. Some prompts were reportedly around 3,000 words each, just to get 15 seconds of usable footage. So yes, AI is getting faster. But the real takeaway is not “humans are useless now” It’s actually the opposite The people who understand storytelling, directing, editing, taste and tools are about to get insane leverage.

The first fully AI-generated movie just went viral in Cannes. The film is called Hell Grind. According to reports, it was made using Higgsfield AI in around 14 days, cost about $500,000 and roughly $400,000 of that went to compute. For context, a traditional Hollywood feature can take 1-3 years and cost tens of millions to produce. This one was created by a team of about 15 directors, cinematographers, and editors using AI tools like Higgsfield’s Soul Cinema, Seedance 2.0 and other video models. The craziest part? For just the first 25 minutes, CineD reported they generated 16,181 clips to get 253 final shots. That’s roughly 64 attempts for every shot. Some prompts were reportedly around 3,000 words each, just to get 15 seconds of usable footage. So yes, AI is getting faster. But the real takeaway is not “humans are useless now” It’s actually the opposite The people who understand storytelling, directing, editing, taste and tools are about to get insane leverage.

Jade 💋

154,410 次观看 • 3 个月前

I drove a real car while wearing a VR headset 🤯 This might be one of the wildest driving experiences I’ve ever had with BMW M in Germany. They put me behind the wheel, but instead of the real world, I saw a fully digital racing track through the headset. I was driving on an open airport field, but visually I was fully inside a race. I could still see my real hands, the steering wheel, and the dashboard, but through the windows I saw a virtual world and track. And it’s multiplayer. I was racing against another driver on a different field, and our cars and the map were synchronized between us in real time. Insane tech. It felt surreal. Hard to wrap my head around. I know I’m in a real car, actually driving, but visually I’m in a video game. Crazy. Thanks BMW BMWMotorsport for the demo!

I drove a real car while wearing a VR headset 🤯 This might be one of the wildest driving experiences I’ve ever had with BMW M in Germany. They put me behind the wheel, but instead of the real world, I saw a fully digital racing track through the headset. I was driving on an open airport field, but visually I was fully inside a race. I could still see my real hands, the steering wheel, and the dashboard, but through the windows I saw a virtual world and track. And it’s multiplayer. I was racing against another driver on a different field, and our cars and the map were synchronized between us in real time. Insane tech. It felt surreal. Hard to wrap my head around. I know I’m in a real car, actually driving, but visually I’m in a video game. Crazy. Thanks BMW BMWMotorsport for the demo!

Ben Geskin

99,877 次观看 • 5 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

156,463 次观看 • 2 个月前

Enjoy with LenaMiu in A Summer Fest #AfairxLenamiu 🎤: oh was it Miu that went to dance with bam? 🗣️: yessss 🧸: yes, it was me 🎤: why was that? 🧸: honestly, it was hellish timing (awful timing), i turned around and P’Lena made a face and I was like ‘oh this is bad, this is the real thing (real trouble)’ 🦋: yes, oh you know (that it was getting real). No, but at the time I didn’t know what they were doing, if I knew that they were just dancing I wouldn’t of minded. But I was interacting/playing with the fans and I turned around just in time and saw them hugging from behind, I didn’t know they were doing the dance trend and like I felt it (the feelings) and it was like…I was nearly about to cry at that time. 🧸: true. If you guys have seen the edited clips from the fans with different angles, you’d see the facial expressions that’s was like ‘oh no, the family is falling apart’. Seriously, this was real, she was really sulking for real, so I had to make it up with her there and then to make sure she’s no longer sulking. 🦋: she whispered to me and asked ‘are you okay, sorry’

Enjoy with LenaMiu in A Summer Fest #AfairxLenamiu 🎤: oh was it Miu that went to dance with bam? 🗣️: yessss 🧸: yes, it was me 🎤: why was that? 🧸: honestly, it was hellish timing (awful timing), i turned around and P’Lena made a face and I was like ‘oh this is bad, this is the real thing (real trouble)’ 🦋: yes, oh you know (that it was getting real). No, but at the time I didn’t know what they were doing, if I knew that they were just dancing I wouldn’t of minded. But I was interacting/playing with the fans and I turned around just in time and saw them hugging from behind, I didn’t know they were doing the dance trend and like I felt it (the feelings) and it was like…I was nearly about to cry at that time. 🧸: true. If you guys have seen the edited clips from the fans with different angles, you’d see the facial expressions that’s was like ‘oh no, the family is falling apart’. Seriously, this was real, she was really sulking for real, so I had to make it up with her there and then to make sure she’s no longer sulking. 🦋: she whispered to me and asked ‘are you okay, sorry’

ᵖˡˢShez.

105,616 次观看 • 5 个月前

Finally got Mira dancing. ✨ She wasn't created with a single prompt. I started by building Mira as a consistent AI character, then used a real dance reference, extracted its depth motion with Sjolt , and transferred the choreography in Seedance 2.0 while keeping her identity as consistent as possible. Still a long way to go, but every iteration makes her feel a little more alive. What trend should Mira dance to next? 👀 #AI #AIVideo #AICharacter #Seedance #VirtualInfluencer #GenerativeAI

Finally got Mira dancing. ✨ She wasn't created with a single prompt. I started by building Mira as a consistent AI character, then used a real dance reference, extracted its depth motion with Sjolt , and transferred the choreography in Seedance 2.0 while keeping her identity as consistent as possible. Still a long way to go, but every iteration makes her feel a little more alive. What trend should Mira dance to next? 👀 #AI #AIVideo #AICharacter #Seedance #VirtualInfluencer #GenerativeAI

Mira Sterling

19,359 次观看 • 1 个月前

Nico Leonard ‘watch expert’ reveals he as expose Rick Ross for buying fake watches ‘That was embarrassing but he can afford the real one so why would it matter if it’s the fake one’ ‘He as like $20M house in Florida you can’t find a watch of that magnitude,that watch is part of a set of 10 watches that’s like $12 or $14M’ ‘You couldn’t get that watch individually that’s how I knew it was fake so he bought it after market it was fully custom’ ‘You have a watch and it as an AP movement but not made by them is that watch real or fake’

Nico Leonard ‘watch expert’ reveals he as expose Rick Ross for buying fake watches ‘That was embarrassing but he can afford the real one so why would it matter if it’s the fake one’ ‘He as like $20M house in Florida you can’t find a watch of that magnitude,that watch is part of a set of 10 watches that’s like $12 or $14M’ ‘You couldn’t get that watch individually that’s how I knew it was fake so he bought it after market it was fully custom’ ‘You have a watch and it as an AP movement but not made by them is that watch real or fake’

zaza

126,126 次观看 • 4 个月前