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I used multi-frame generation to make a mecha video. What’s impressive isn’t the visuals — it’s that the model remembers what happened in the previous frame. When AI understands continuous action, creation shifts from generating content to executing intent. That step matters.

Tyler TechForge

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34,746 просмотров • 7 месяцев назад •via X (Twitter)

Искусство Образование Наука и технологии

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After the last post, a lot of friends asked: “How did you actually make this with multi-frame generation?” “Is the process complicated?” It’s not. The hard part isn’t the tool — it’s the order. Dreamina AI

After the last post, a lot of friends asked: “How did you actually make this with multi-frame generation?” “Is the process complicated?” It’s not. The hard part isn’t the tool — it’s the order. Dreamina AI

Tyler TechForge

74,938 просмотров • 7 месяцев назад

So Runway Aleph 2.0 just dropped, and it introduces a pretty interesting workflow for AI video footage editing. Rather than repeatedly prompting a video model and hoping it makes the change you want, you can edit a specific frame first, then use that frame to guide the video generation. For this test, I take an existing footage inside Runway: • Picked a frame from the original video • Used Nano Banana Pro to add a new effect/object • Brought that frame into Aleph 2.0 to generate the updated video It feels like a more controllable and potentially cheaper way to make targeted edits to existing footage than current AI video omni models available like Seedance and Gemini.

So Runway Aleph 2.0 just dropped, and it introduces a pretty interesting workflow for AI video footage editing. Rather than repeatedly prompting a video model and hoping it makes the change you want, you can edit a specific frame first, then use that frame to guide the video generation. For this test, I take an existing footage inside Runway: • Picked a frame from the original video • Used Nano Banana Pro to add a new effect/object • Brought that frame into Aleph 2.0 to generate the updated video It feels like a more controllable and potentially cheaper way to make targeted edits to existing footage than current AI video omni models available like Seedance and Gemini.

Curious Refuge

11,410 просмотров • 2 месяцев назад

A friendship that unfolds beat by beat, exactly how you imagine it. With PAI, character stays consistent, emotion carries through every frame, and story isn’t guessed - it’s guided. From first frame to final moment, you’re not generating content. You’re directing it.

A friendship that unfolds beat by beat, exactly how you imagine it. With PAI, character stays consistent, emotion carries through every frame, and story isn’t guessed - it’s guided. From first frame to final moment, you’re not generating content. You’re directing it.

Utopai Studios

4,048,872 просмотров • 3 месяцев назад

Kling’s new Motion Control feature is absolutely insane. It solves the biggest problem in AI video: consistency. You can now make any character do exactly what you want, frame by frame. Here is the step-by-step workflow to master it right now, on arcads AI:

Kling’s new Motion Control feature is absolutely insane. It solves the biggest problem in AI video: consistency. You can now make any character do exactly what you want, frame by frame. Here is the step-by-step workflow to master it right now, on arcads AI:

Alex Patrascu

53,123 просмотров • 7 месяцев назад

❤️‍🔥I replicated a $5K scroll animation using Lovable in under 10 minutes And no, this isn’t the lazy “AI video in the hero section” trick. That stuff lags stutters kills the vibe This is frame-by-frame scroll animation. Prompt below ↓

❤️‍🔥I replicated a $5K scroll animation using Lovable in under 10 minutes And no, this isn’t the lazy “AI video in the hero section” trick. That stuff lags stutters kills the vibe This is frame-by-frame scroll animation. Prompt below ↓

Viktor Oddy

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Eric Jang explains that 1X's world model is a video generation model at its core, but had to be retrained from scratch to make it action-controllable. He also notes that simulated people in the world model might eventually pass the Turing test.

Eric Jang explains that 1X's world model is a video generation model at its core, but had to be retrained from scratch to make it action-controllable. He also notes that simulated people in the world model might eventually pass the Turing test.

The Humanoid Hub

62,767 просмотров • 1 год назад

Roberts: I've seen the video several times, as well, kind of gone through it frame by frame. We don't know what 100% what happened during that incident, but what I saw of it does counteract the narrative that they were trying to push their car out of the snow.

Roberts: I've seen the video several times, as well, kind of gone through it frame by frame. We don't know what 100% what happened during that incident, but what I saw of it does counteract the narrative that they were trying to push their car out of the snow.

Acyn

793,175 просмотров • 7 месяцев назад

Our research team just released Flex-Forcing: a video generation method that lets a single model switch between generation methods at inference time. Right now there are two main approaches to video generation. Bidirectional diffusion models attend to every frame at once, holding structure well at the cost of speed. Autoregressive models generate frame by frame, so they stream fast and scale to long clips, but accumulate error and drift over time. Flex-Forcing trains a single model to do both, letting you choose from the range at inference based on your compute budget.

Our research team just released Flex-Forcing: a video generation method that lets a single model switch between generation methods at inference time. Right now there are two main approaches to video generation. Bidirectional diffusion models attend to every frame at once, holding structure well at the cost of speed. Autoregressive models generate frame by frame, so they stream fast and scale to long clips, but accumulate error and drift over time. Flex-Forcing trains a single model to do both, letting you choose from the range at inference based on your compute budget.

NVIDIA AI

31,412 просмотров • 1 месяц назад

In my previous post about the #Nioh3 demo, I mentioned that when the game isn’t consistently holding 60 FPS or 120 FPS, several issues can show up. Here’s a clearer breakdown of what's going on. The main reason is that the game speed and physics are tied to the frame rate. When you enable the 120 FPS cap, the engine start overreacting and pushes CPU usage very high, even if the game is still running at around 60 FPS (as shown in the first example). In the second clip, you can see the uneven, jittery camera movement I mentioned before. Notice how much smoother 60 FPS and 120 FPS look compared to the unlocked side. Also, camera movement at 60 FPS is slightly faster than at 120 FPS. In the third clip, player movement is slower when the frame rate is unlocked. This doesn’t happen all the time, but it shows up often enough to be noticeable. Because of how the Katana Engine behaves, the game is clearly designed around 60 FPS. Running at 120 FPS is possible, but it’s only recommended if your system can maintain that target almost all the time, which isn’t easy to achieve. There’s also an alternative workaround where you select the 60 (locked) option and enable Frame Generation (DLSS or FSR 3), as shown in the last clip. The downside is that DLSS Frame Generation tends to show the same stuttery look as when the frame rate isn’t holding a fixed target, likely due to Reflex keeping the frame rate slightly below target. FSR Frame Generation, on the other hand, looks much smoother and works better here.

In my previous post about the #Nioh3 demo, I mentioned that when the game isn’t consistently holding 60 FPS or 120 FPS, several issues can show up. Here’s a clearer breakdown of what's going on. The main reason is that the game speed and physics are tied to the frame rate. When you enable the 120 FPS cap, the engine start overreacting and pushes CPU usage very high, even if the game is still running at around 60 FPS (as shown in the first example). In the second clip, you can see the uneven, jittery camera movement I mentioned before. Notice how much smoother 60 FPS and 120 FPS look compared to the unlocked side. Also, camera movement at 60 FPS is slightly faster than at 120 FPS. In the third clip, player movement is slower when the frame rate is unlocked. This doesn’t happen all the time, but it shows up often enough to be noticeable. Because of how the Katana Engine behaves, the game is clearly designed around 60 FPS. Running at 120 FPS is possible, but it’s only recommended if your system can maintain that target almost all the time, which isn’t easy to achieve. There’s also an alternative workaround where you select the 60 (locked) option and enable Frame Generation (DLSS or FSR 3), as shown in the last clip. The downside is that DLSS Frame Generation tends to show the same stuttery look as when the frame rate isn’t holding a fixed target, likely due to Reflex keeping the frame rate slightly below target. FSR Frame Generation, on the other hand, looks much smoother and works better here.

BenchmarKing

17,820 просмотров • 6 месяцев назад

Most conversational AI understands words, not people. Introducing Raven-1, our audio and video perception model that gives AI the ability to understand emotion, intent, and context the way humans do.

Most conversational AI understands words, not people. Introducing Raven-1, our audio and video perception model that gives AI the ability to understand emotion, intent, and context the way humans do.

Tavus

1,672,610 просмотров • 6 месяцев назад

🚀 First Update of LTX-Video is Here! We’re thrilled to announce the release of LTX-Video 0.9.1, the latest version of our generative AI video model! This update is packed with upgrades that make video creation smoother, faster, and more impressive than ever. Here’s what’s new 👇

🚀 First Update of LTX-Video is Here! We’re thrilled to announce the release of LTX-Video 0.9.1, the latest version of our generative AI video model! This update is packed with upgrades that make video creation smoother, faster, and more impressive than ever. Here’s what’s new 👇

Yoav HaCohen

18,053 просмотров • 1 год назад

AI isn’t just changing tools, it’s widening the wealth gap. Most people interact with AI every day without realizing how much value their work, data, and behavior create behind the scenes for billion-dollar tech companies. As automation scales, the real question isn’t whether AI will affect jobs. It’s who controls the systems that shape that impact. Something has to change. Action Model is exploring what happens when that value is pooled, shared, and owned collectively instead of concentrated at the top. Strength in numbers isn’t a slogan, it’s a system design choice. Join the resistance and sign up to Action Model today. Link is in our bio.

AI isn’t just changing tools, it’s widening the wealth gap. Most people interact with AI every day without realizing how much value their work, data, and behavior create behind the scenes for billion-dollar tech companies. As automation scales, the real question isn’t whether AI will affect jobs. It’s who controls the systems that shape that impact. Something has to change. Action Model is exploring what happens when that value is pooled, shared, and owned collectively instead of concentrated at the top. Strength in numbers isn’t a slogan, it’s a system design choice. Join the resistance and sign up to Action Model today. Link is in our bio.

Action Model

14,090 просмотров • 6 месяцев назад

First frame + Last frame = Fashion ads in minutes. Here’s how I generated this U.S. Polo sequence using Kling 3.0 + Calico AI: → The Input: A start frame and an end frame to lock in the subject and composition. → The Prompt: Don't just ask for a "cool video." Specifically prompted for "slow cinematic push-in," "shallow depth of field," and "micro-parallax" to get that premium brand-film look. → The Output: Motion that looks like a high-budget fashion shoot. Studio shoots are expensive, but AI is leveling the playing field. Comment 'PROMPT' if you want me to send you all of the prompts and the system I used to build this. (must be following so I can dm you!)

David Roberts

26,045 просмотров • 5 месяцев назад

i just posted a new video about procrastination. the video is sponsored by Insta360 new gimbal called the FLOW. this was my fav feature, stabilization was great but the AI in the device that let it follow me when i left frame then returned is super impressive.

i just posted a new video about procrastination. the video is sponsored by Insta360 new gimbal called the FLOW. this was my fav feature, stabilization was great but the AI in the device that let it follow me when i left frame then returned is super impressive.

Casey Neistat

224,854 просмотров • 3 лет назад

When kyungrim step aside from the frame to let the cast took a pic with the fan kyungsoo ask her to get into frame so they all would be in the pic. As always our lovely kyungsoo 🥹

When kyungrim step aside from the frame to let the cast took a pic with the fan kyungsoo ask her to get into frame so they all would be in the pic. As always our lovely kyungsoo 🥹

nilam

91,359 просмотров • 9 месяцев назад

Today we announced RTFM (Real-Time Frame Model) — a world model that generates frames in real time from any camera viewpoint. Unlike standard video models, RTFM understands 3D geometry. You can literally move the camera through the generated world. 🎥👇

Today we announced RTFM (Real-Time Frame Model) — a world model that generates frames in real time from any camera viewpoint. Unlike standard video models, RTFM understands 3D geometry. You can literally move the camera through the generated world. 🎥👇

Keunhong Park

15,823 просмотров • 10 месяцев назад

No more silent footage—audio-visual sync brings AI characters to life! From silent videos to Wan 2.5 Preview, which delivers frame-perfect lip-sync, multilingual dialogue, and dynamic sound effects, AI-generated video has officially left the "silent film era" behind. Now, audio and visuals emerge together from the same model—not stitched in post-production, but natively synchronized from the start. Watch the video below to uncover how AI-powered audio-visual sync is redefining content creation. #AlibabaCloud #CloudComputing #AI #AInnovation #LLM #AIVideo #WanAI #MultimodalAI

No more silent footage—audio-visual sync brings AI characters to life! From silent videos to Wan 2.5 Preview, which delivers frame-perfect lip-sync, multilingual dialogue, and dynamic sound effects, AI-generated video has officially left the "silent film era" behind. Now, audio and visuals emerge together from the same model—not stitched in post-production, but natively synchronized from the start. Watch the video below to uncover how AI-powered audio-visual sync is redefining content creation. #AlibabaCloud #CloudComputing #AI #AInnovation #LLM #AIVideo #WanAI #MultimodalAI

Alibaba Cloud

18,311 просмотров • 6 месяцев назад

Sora 2 has changed the game, the world of video will never be the same. A model that doesn't just generate visuals, it simulates the physical world. It understands how the world moves, how light behaves, and how sound interacts within a scene. Every frame carries a physical truth that turns imagination into reality. Sora 2: → understands how the world moves, from physics to light to sound → makes imagination look real, indistinguishable from a camera-led shoot → gives creators precise control over shots, edits and every visual detail And now it’s inside invideo. invideo's agent acts like an AI production house, making 500 creative decisions autonomously to turn a single prompt into a complete video, researching the topic, writing the script, generating and evaluating storyboards, directing and editing autonomously. We’re featured today at OpenAI Dev Day OpenAI Developers, showing what’s now possible when creators and businesses can use the world’s most advanced video model. The line between imagination and reality just blurred. Examples of what you can now create with Sora 2 👇

Sora 2 has changed the game, the world of video will never be the same. A model that doesn't just generate visuals, it simulates the physical world. It understands how the world moves, how light behaves, and how sound interacts within a scene. Every frame carries a physical truth that turns imagination into reality. Sora 2: → understands how the world moves, from physics to light to sound → makes imagination look real, indistinguishable from a camera-led shoot → gives creators precise control over shots, edits and every visual detail And now it’s inside invideo. invideo's agent acts like an AI production house, making 500 creative decisions autonomously to turn a single prompt into a complete video, researching the topic, writing the script, generating and evaluating storyboards, directing and editing autonomously. We’re featured today at OpenAI Dev Day OpenAI Developers, showing what’s now possible when creators and businesses can use the world’s most advanced video model. The line between imagination and reality just blurred. Examples of what you can now create with Sora 2 👇

Sanket Shah

63,214 просмотров • 10 месяцев назад

Runway has unveiled a massive breakthrough in AI video generation at NVIDIA's GTC event, showcasing a new model capable of generating high-definition video in genuine real-time. The new model boasts a "time-to-first-frame" of under 100 milliseconds. This means HD video begins generating and playing almost the instant a command is given. This research preview was co-developed with NVIDIA and runs on their newly announced Vera Rubin architecture. This real-time capability is a foundational step for Runway's General World Model (GWM-1). It pushes the technology beyond simple video generation and into the realm of live, interactive environments.

Runway has unveiled a massive breakthrough in AI video generation at NVIDIA's GTC event, showcasing a new model capable of generating high-definition video in genuine real-time. The new model boasts a "time-to-first-frame" of under 100 milliseconds. This means HD video begins generating and playing almost the instant a command is given. This research preview was co-developed with NVIDIA and runs on their newly announced Vera Rubin architecture. This real-time capability is a foundational step for Runway's General World Model (GWM-1). It pushes the technology beyond simple video generation and into the realm of live, interactive environments.

Wes Roth

82,506 просмотров • 4 месяцев назад

Wow, diffusion models (used in AI image generation) are also game engines - a type of world simulation. By predicting the next frame of the classic shooter DOOM, you get a playable game at 20 fps without any underlying real game engine. This video is from the diffusion model.

Wow, diffusion models (used in AI image generation) are also game engines - a type of world simulation. By predicting the next frame of the classic shooter DOOM, you get a playable game at 20 fps without any underlying real game engine. This video is from the diffusion model.

Ethan Mollick

1,769,137 просмотров • 1 год назад