Loading video...

Video Failed to Load

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

🚀 We just released LTX-Video 13B – our most powerful open-source video generation model yet. – 13B parameters – Multiscale rendering for better fine details – Better motion and scene understanding – Still fast - runs on local GPUs – Supports keyframes, camera/character motion & multi-shot sequences

Yoav HaCohen

2,186 subscribers

182,733 views • 1 year ago •via X (Twitter)

Arts Science & Technology Education

Anya Rossi• Live Now

Private livecam show

11 Comments

Yoav HaCohen1 year ago

Try LTX-Video 13B on LTX-Studio → Code → Weights → We can’t wait to see what you create with it 🎬✨

Yoav HaCohen1 year ago

Here’s what LTX-Video 13B can do - all generations in this post were made with the new model 👇

WillScuderi1 year ago

🚀 We've just launched the ultimate travel companion for all business travellers. The espresso Display 15 with Stand+ features: ✅ Aluminium Build ✅ Works with one cable for Mac, PC, iphone (15 and later) ✅ Display above laptop ✅ 1080p/16m colours/300nits ✅ 0.2"/5mm thin

Jikku Jose1 year ago

Please mention VRAM requirements!!

Yoav HaCohen1 year ago

With quantization it go as low as 13.9GB by increasing the number of tiles

Edber Mamisao1 year ago

@alexfredo87 Does this work on a Mac? :)

Yoav HaCohen1 year ago

@alexfredo87 With enough RAM - yes!

Juan Cristobal1 year ago

🤯 does it do HD? 4k?

bryce1 year ago

you all are incredible

Dylan1 year ago

beautiful outputs 👏👏

Dosto ⭐️⭐️⭐️1 year ago

PC - Mac requirements for offline use? GPU, VRAM?

Related Videos

LTX just dropped their new open-source model—and it’s a game changer. It’s 30× faster, has multiscale rendering, keyframes, and runs locally on your GPU. Full details + examples here 🧵👇

LTX just dropped their new open-source model—and it’s a game changer. It’s 30× faster, has multiscale rendering, keyframes, and runs locally on your GPU. Full details + examples here 🧵👇

TechHalla

75,612 views • 1 year ago

🚀 Exciting update for LTX-Video: now with a commercial license, improved quality, and enhanced controllability using keyframes & video extension! 🔹 Commercial license 🔹 Better motion consistency 🔹 Multiple keyframes support 🔹 Forward/backward video extension 🔹 Higher resolutions & improved fine-details 🔹 Auto prompt understanding 🔹 New web app in LTX-Studio 🎬 🧵👇

🚀 Exciting update for LTX-Video: now with a commercial license, improved quality, and enhanced controllability using keyframes & video extension! 🔹 Commercial license 🔹 Better motion consistency 🔹 Multiple keyframes support 🔹 Forward/backward video extension 🔹 Higher resolutions & improved fine-details 🔹 Auto prompt understanding 🔹 New web app in LTX-Studio 🎬 🧵👇

Yoav HaCohen

28,979 views • 1 year ago

wow.. this new AI is shaking Hollywood LTX Studio just dropped a 13b parameters open sourced video model and.. it's now 30x faster, run on normal laptop for free check out this film trailer I created in an hour and.. new features we never see before:

wow.. this new AI is shaking Hollywood LTX Studio just dropped a 13b parameters open sourced video model and.. it's now 30x faster, run on normal laptop for free check out this film trailer I created in an hour and.. new features we never see before:

el.cine

246,707 views • 1 year ago

Introducing LTX-2: the most complete open-source AI creative engine. - Synchronized audio and video generation - Native 4K fidelity, up to 50 fps and 10 s+ sequences - API-first design for seamless integration into creative pipelines - Runs efficiently on consumer GPUs - Fully open and accessible, with weights releasing later this year

Introducing LTX-2: the most complete open-source AI creative engine. - Synchronized audio and video generation - Native 4K fidelity, up to 50 fps and 10 s+ sequences - API-first design for seamless integration into creative pipelines - Runs efficiently on consumer GPUs - Fully open and accessible, with weights releasing later this year

LTX

1,700,506 views • 8 months ago

LTX-2 is natively supported in ComfyUI on Day 0 🎬🔊 The next chapter in controllability for open-source video generation. - Open-source audio-video foundation model - Generates motion, dialogue, SFX, and music together - Canny, Depth & Pose video-to-video control - Keyframe-driven generation - Native upscaling and prompt enhancement Everything in a single pass.

LTX-2 is natively supported in ComfyUI on Day 0 🎬🔊 The next chapter in controllability for open-source video generation. - Open-source audio-video foundation model - Generates motion, dialogue, SFX, and music together - Canny, Depth & Pose video-to-video control - Keyframe-driven generation - Native upscaling and prompt enhancement Everything in a single pass.

ComfyUI

108,130 views • 6 months ago

Kling 3.0 OMNI on BudgetPixel AI is built for creators who want stronger video generation — cinematic motion, better scene control, and more polished storytelling in one powerful model. Create sharper, smoother, more dynamic AI videos.

Kling 3.0 OMNI on BudgetPixel AI is built for creators who want stronger video generation — cinematic motion, better scene control, and more polished storytelling in one powerful model. Create sharper, smoother, more dynamic AI videos.

BudgetPixel AI

36,182 views • 1 month ago

you're cooked if you're still doing single-character swapping and motion control. multiple character swaps + motion control - ONLY on Viggle. yes, we're the only AI video model that can do this. and we just launched our newest model V4 examples + tutorial + links below 👇

you're cooked if you're still doing single-character swapping and motion control. multiple character swaps + motion control - ONLY on Viggle. yes, we're the only AI video model that can do this. and we just launched our newest model V4 examples + tutorial + links below 👇

ViggleAI

59,699 views • 4 months ago

Free Blender AI motion capture plugin: Connects to 1080P camera, runs on a local computer with a 10-billion-parameter model, and requires 8GB VRAM for real-time processing. Supports both real-time capture and video uploads.

Free Blender AI motion capture plugin: Connects to 1080P camera, runs on a local computer with a 10-billion-parameter model, and requires 8GB VRAM for real-time processing. Supports both real-time capture and video uploads.

CYANPUPPETS

233,749 views • 1 year ago

One image + text + camera trajectory = controllable worlds. All on a single GPU. Our research team just released SANA-WM, a 2.6B open source world model natively trained for 60-second video generation with precise camera control.

One image + text + camera trajectory = controllable worlds. All on a single GPU. Our research team just released SANA-WM, a 2.6B open source world model natively trained for 60-second video generation with precise camera control.

NVIDIA AI

92,832 views • 1 month ago

VIGGLE'S NEW MODEL IS HERE! Controllable video generation is our mission, and character is where we start. Animate any character just as you want, simply with a prompt, or by uploading a reference video featuring clear motion. Try Viggle for FREE:

VIGGLE'S NEW MODEL IS HERE! Controllable video generation is our mission, and character is where we start. Animate any character just as you want, simply with a prompt, or by uploading a reference video featuring clear motion. Try Viggle for FREE:

ViggleAI

37,506 views • 2 years ago

🎥 Frustrated by Sora's credit limits? Still waiting for Veo 2? 🚀 Open-source video DiTs are actually on par. We introduce FastVideo, an open-source stack to support fast video generation for SoTA open models. We have supported Mochi and Hunyuan, 8x faster inference, 720P 5-second video in 62 seconds.

🎥 Frustrated by Sora's credit limits? Still waiting for Veo 2? 🚀 Open-source video DiTs are actually on par. We introduce FastVideo, an open-source stack to support fast video generation for SoTA open models. We have supported Mochi and Hunyuan, 8x faster inference, 720P 5-second video in 62 seconds.

Hao AI Lab

69,735 views • 1 year ago

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

🚀 Introducing HunyuanCustom: An open-source, multimodal-driven architecture for customized video generation, powered by HunyuanVideo-13B. Outperforming existing open-source models, it rivals top closed-source solutions! 🎥 Highlights: ✅Subject Consistency: Maintains identity across single & multi-subject video generation. ✅Multimodal Inputs: Supports text, images, audio, and video for highly controlled outputs. ✅High-Quality Output: Industry-leading detail, motion smoothness, and lighting realism. Key Features: 1️⃣Single-Subject Video: Upload an image + text (e.g., “He’s walking a dog”) to create coherent videos with new actions, outfits, and scenes. 2️⃣Multi-Subject Video: Generate videos with multiple subjects (e.g., a man drinking coffee in a cozy room) from separate image inputs. 3️⃣Audio-Driven Video: Sync audio with visuals for talking or singing in any scene—perfect for digital avatars, virtual customer service, and more. 4️⃣Video-Driven Video: Seamlessly insert or replace subjects into any video for creative enhancements. Dive Deeper: 🌐Project: 📝Technical Details: 💻Code: The single-subject video capability is open-sourced and live on the Hunyuan website, with more features to be released soon! 👉 Try it now: #HunyuanCustom #VideoGeneration #AI #TencentHunyuan

Tencent HY

191,908 views • 1 year ago

Introducing FoundationMotion. A large-scale, video-derived motion annotation dataset & auto-labeling pipeline + advanced models for motion understanding. Fully open-source: code, datasets, and models, free to use and build on. Understanding motion is core to physical reasoning, yet today’s leading models still struggle with simple spatial actions like “turn right” or “move up” or “flip the toast” - mainly due to the lack of large, fine-grained motion datasets. We present FoundationMotion, a fully automated pipeline that: • detects & tracks objects in videos • extracts trajectories • uses LLMs + frames to generate rich motion captions & QA pairs → creating large-scale, high-quality motion datasets at scale. After fine-tuning the open-source models Qwen and NVILA on our annotations, these models now outperform the closed-source Gemini-3-Flash and GPT-5.1 on spatial understanding tasks across autonomous driving, robotics, and everyday scenarios. 📜Paper: 🌐Webpage: 💻 Code: 🕸️Model: 📊 Dataset: 👉 Interactive Demo: Let’s move research forward together. FoundationMotion is also referred to as Wolf V2 🐺, the second chapter in the Wolf series:

Introducing FoundationMotion. A large-scale, video-derived motion annotation dataset & auto-labeling pipeline + advanced models for motion understanding. Fully open-source: code, datasets, and models, free to use and build on. Understanding motion is core to physical reasoning, yet today’s leading models still struggle with simple spatial actions like “turn right” or “move up” or “flip the toast” - mainly due to the lack of large, fine-grained motion datasets. We present FoundationMotion, a fully automated pipeline that: • detects & tracks objects in videos • extracts trajectories • uses LLMs + frames to generate rich motion captions & QA pairs → creating large-scale, high-quality motion datasets at scale. After fine-tuning the open-source models Qwen and NVILA on our annotations, these models now outperform the closed-source Gemini-3-Flash and GPT-5.1 on spatial understanding tasks across autonomous driving, robotics, and everyday scenarios. 📜Paper: 🌐Webpage: 💻 Code: 🕸️Model: 📊 Dataset: 👉 Interactive Demo: Let’s move research forward together. FoundationMotion is also referred to as Wolf V2 🐺, the second chapter in the Wolf series:

Boyi Li

66,999 views • 7 months ago

Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes Contributions: • We propose STORM, the first feed-forward, self-supervised method for fast and accurate reconstruction of dynamic 3D scenes from sparse, multi-timestep, posed camera images. • Our bottom-up framework aggregates and transforms per-frame 3D Gaussian Splats into a cohesive scene representation, enabling self-supervised motion estimation. Furthermore, we introduce motion tokens that capture common motion primitives and regularize motion predictions, facilitating dynamic motion group segmentation without explicit motion or correspondence supervision. • We present several enhancements for in-the-wild scenarios, including sky modeling, camera exposure inconsistency handling, large novel-view extrapolation, and fine-grained human motions reconstruction, making STORM well-suited for real-world applications.

Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes Contributions: • We propose STORM, the first feed-forward, self-supervised method for fast and accurate reconstruction of dynamic 3D scenes from sparse, multi-timestep, posed camera images. • Our bottom-up framework aggregates and transforms per-frame 3D Gaussian Splats into a cohesive scene representation, enabling self-supervised motion estimation. Furthermore, we introduce motion tokens that capture common motion primitives and regularize motion predictions, facilitating dynamic motion group segmentation without explicit motion or correspondence supervision. • We present several enhancements for in-the-wild scenarios, including sky modeling, camera exposure inconsistency handling, large novel-view extrapolation, and fine-grained human motions reconstruction, making STORM well-suited for real-world applications.

MrNeRF

53,292 views • 1 year ago

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Kanika

17,309 views • 1 month ago

Today we're launching three new LoRAs for our open source video model, LTX Video! 🕺 Pose LoRA 🏞️ Depth LoRA ✏️ Canny LoRA Get unprecedented control over your AI videos and train new control types with just a few samples on consumer hardware. Details below 👇

Today we're launching three new LoRAs for our open source video model, LTX Video! 🕺 Pose LoRA 🏞️ Depth LoRA ✏️ Canny LoRA Get unprecedented control over your AI videos and train new control types with just a few samples on consumer hardware. Details below 👇

LTX.io

139,969 views • 1 year ago

🚀 Motion Control, Leveled Up Newly upgraded Motion Control is now live in Kling VIDEO 2.6! Experience precise, full control over every action & expression ✅ Full-Body Motions — Body movements captured in stunning detail ✅ Fast & Complex Actions — From martial arts to dances, nothing moves too fast ✅ Flawless Hand Moves — Precise gestures, zero blur ✅ Expressive Faces — Expressions and lip sync, perfectly preserved and naturally alive You can even upload 3–30s motion references for uninterrupted sequences, and fine-tune scene details via text prompts. #KlingMotionControl #KlingAI #Kling26

🚀 Motion Control, Leveled Up Newly upgraded Motion Control is now live in Kling VIDEO 2.6! Experience precise, full control over every action & expression ✅ Full-Body Motions — Body movements captured in stunning detail ✅ Fast & Complex Actions — From martial arts to dances, nothing moves too fast ✅ Flawless Hand Moves — Precise gestures, zero blur ✅ Expressive Faces — Expressions and lip sync, perfectly preserved and naturally alive You can even upload 3–30s motion references for uninterrupted sequences, and fine-tune scene details via text prompts. #KlingMotionControl #KlingAI #Kling26

Kling AI

255,010 views • 7 months ago

We are excited to unveil HunyuanVideo 1.5, the strongest open-source video generation model. Built upon DiT architecture, it redefines the open-source SOTA for accessibility and performance.🚀🚀🚀 HunyuanVideo 1.5 delivers state-of-the-art visual quality and motion coherence while drastically lowering the entry barrier for developers and creators: ⚡️ Unmatched Accessibility: Ultra-light 8.3B parameters, deployable on consumer GPUs with only 14GB VRAM. 🖥️ HD Cinematic Quality: Natively generates 5–10 second 480p/720p HD videos, with super-resolution support for 1080p cinematic quality. By merging SOTA performance with high hardware efficiency, HunyuanVideo 1.5 sets the new technical baseline for the open-source community. 🌐Project Page: 🔗Github: 🤗Hugging Face： 📄Technical Report:

We are excited to unveil HunyuanVideo 1.5, the strongest open-source video generation model. Built upon DiT architecture, it redefines the open-source SOTA for accessibility and performance.🚀🚀🚀 HunyuanVideo 1.5 delivers state-of-the-art visual quality and motion coherence while drastically lowering the entry barrier for developers and creators: ⚡️ Unmatched Accessibility: Ultra-light 8.3B parameters, deployable on consumer GPUs with only 14GB VRAM. 🖥️ HD Cinematic Quality: Natively generates 5–10 second 480p/720p HD videos, with super-resolution support for 1080p cinematic quality. By merging SOTA performance with high hardware efficiency, HunyuanVideo 1.5 sets the new technical baseline for the open-source community. 🌐Project Page: 🔗Github: 🤗Hugging Face： 📄Technical Report:

Tencent Hy

128,008 views • 7 months ago

🚀 Introducing HunyuanVideo-Avatar, a model jointly developed by Tencent Hunyuan and Tencent Music, bringing photos to life. ✅ Upload a photo + audio — auto-detect scene context & emotion, then generate lifelike speech/singing with dynamic visuals. ✅ Supports multi-style, multi-species scenarios and excels in multi-character interactions. ✅ Built for short video creation, e-commerce, advertising, and more — already deployed in multiple apps across Tencent Music Entertainment Group. The single-character mode of HunyuanVideo-Avatar is now open-sourced and live on the Hunyuan website, supporting audio up to 14 seconds for video generation. The multi-character mode will be open-sourced soon. Try it on: Project Page: Github: Tech report: #Tencent #Hunyuan

Tencent Hy

218,408 views • 1 year ago

🚀We are thrilled to open-source Hunyuan-GameCraft, a high-dynamic interactive game video generation framework built on HunyuanVideo. It generates playable and physically realistic videos from a single scene image and user action signals, empowering creators and developers to "direct" games with first-person or third-person perspectives. Key Advantages: 🔹High Dynamics: Unifies standard keyboard inputs into a shared continuous action space, enabling high-precision control over velocity and angle. This allows for the exploration of complex trajectories, overcoming the stiff, limited motion of traditional models. It can also generate dynamic environmental content like moving clouds, rain, snow, and water flow. 🔹Long-term Consistency: Uses hybrid history condition to preserve the original scene information after significant movement. 🔹Significant Cost Reduction: No need for expensive modeling/rendering. PCM distillation compresses inference steps, boosting speed and lowering costs. This allows the quantized 13B model to run on consumer-grade GPUs like the RTX 4090. Project Page: Code: Technical Report: Hugging Face：

🚀We are thrilled to open-source Hunyuan-GameCraft, a high-dynamic interactive game video generation framework built on HunyuanVideo. It generates playable and physically realistic videos from a single scene image and user action signals, empowering creators and developers to "direct" games with first-person or third-person perspectives. Key Advantages: 🔹High Dynamics: Unifies standard keyboard inputs into a shared continuous action space, enabling high-precision control over velocity and angle. This allows for the exploration of complex trajectories, overcoming the stiff, limited motion of traditional models. It can also generate dynamic environmental content like moving clouds, rain, snow, and water flow. 🔹Long-term Consistency: Uses hybrid history condition to preserve the original scene information after significant movement. 🔹Significant Cost Reduction: No need for expensive modeling/rendering. PCM distillation compresses inference steps, boosting speed and lowering costs. This allows the quantized 13B model to run on consumer-grade GPUs like the RTX 4090. Project Page: Code: Technical Report: Hugging Face：

Tencent Hy

169,638 views • 11 months ago