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MotionStream Real-Time Video Generation with Interactive Motion Controls model runs in real time on a single NVIDIA H100 GPU (29 FPS, 0.4s Latency)

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22,304 görüntüleme • 7 ay önce •via X (Twitter)

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Cool new work on real-time video generation with motion control. MotionStream enables sub-second latency streaming on a single GPU. You can also control what parts of an image do & don't move, like the video below. 👏 to Xun Huang, Joonghyuk Shin, and team!
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Cool new work on real-time video generation with motion control. MotionStream enables sub-second latency streaming on a single GPU. You can also control what parts of an image do & don't move, like the video below. 👏 to Xun Huang, Joonghyuk Shin, and team!

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Free Blender AI Motion Capture Plugin: Runs a 1-billion-parameter model on a GPU with 8GB VRAM, supporting real-time capture and video uploads — no cost required.
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Free Blender AI Motion Capture Plugin: Runs a 1-billion-parameter model on a GPU with 8GB VRAM, supporting real-time capture and video uploads — no cost required.

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A real-time AI motion capture model with 1B parameters. Connects to a 1080P camera or processes uploaded video to generate 3D motion data in real time. Supports Unreal Engine, Unity, and Blender, requiring 8GB of GPU VRAM for real-time processing.
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A real-time AI motion capture model with 1B parameters. Connects to a 1080P camera or processes uploaded video to generate 3D motion data in real time. Supports Unreal Engine, Unity, and Blender, requiring 8GB of GPU VRAM for real-time processing.

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Real-time video generation is officially here 👀 Krea AI just opened the waitlist for their new real-time video engine 😮 👉 What they’re promising: 1️⃣ 12+ FPS generation: True real-time 2️⃣ Multi-input control: Use text prompts, images, your screen, or even your webcam as a source 3️⃣ “World Model” Engine: “systems that learn how scenes evolve and how actions ripple forward in time” (c) A huge step for real-time storytelling and interactive experiences is here Take a look yourself 👇 (Video credit: Krea AI)
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Real-time video generation is officially here 👀 Krea AI just opened the waitlist for their new real-time video engine 😮 👉 What they’re promising: 1️⃣ 12+ FPS generation: True real-time 2️⃣ Multi-input control: Use text prompts, images, your screen, or even your webcam as a source 3️⃣ “World Model” Engine: “systems that learn how scenes evolve and how actions ripple forward in time” (c) A huge step for real-time storytelling and interactive experiences is here Take a look yourself 👇 (Video credit: Krea AI)

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NVIDIA just dropped Nemotron-3.5-ASR: one 0.6B model, 40+ languages, streaming. parakeet.cpp already runs it. On a plain CPU, 2.5x faster than NVIDIA AI 's Nemo runtime, output byte-for-byte identical (WER 0). No GPU needed. Offline or real-time. Pick a language with --lang, or auto. GPU numbers are coming to compare with Nemo framework.
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NVIDIA just dropped Nemotron-3.5-ASR: one 0.6B model, 40+ languages, streaming. parakeet.cpp already runs it. On a plain CPU, 2.5x faster than NVIDIA AI 's Nemo runtime, output byte-for-byte identical (WER 0). No GPU needed. Offline or real-time. Pick a language with --lang, or auto. GPU numbers are coming to compare with Nemo framework.

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We're excited to power LemonSlice's new video agent product. Turn your real-time voice agent into a video agent using a single photo. The underlying model—which autoscales on Modal 😉—streams infinite-length talking video at 20fps using a single GPU.
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We're excited to power LemonSlice's new video agent product. Turn your real-time voice agent into a video agent using a single photo. The underlying model—which autoscales on Modal 😉—streams infinite-length talking video at 20fps using a single GPU.

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it's open source time, with a real leap for world models 🎉 NVIDIA's SANA-WM: a camera-conditioned world model that fits on one GPU. 60s of 720p in 34s on a single 5090 - 2.6B params and Apache 2.0!
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it's open source time, with a real leap for world models 🎉 NVIDIA's SANA-WM: a camera-conditioned world model that fits on one GPU. 60s of 720p in 34s on a single 5090 - 2.6B params and Apache 2.0!

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The leading model runnable on a single cloud H100 GPU now fits on a single home GPU! 🔥 We've optimized Gemma 3 27B with QAT so you can run our best-in-class open model on your desktop RTX 3090 or similar. See how easy it is to try via ollama! 👇

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this is not a drill 🚨, real-time open source video generation is here 🔥 Self-Forcing - a real-time video distilled model from Wan 2.1 by Adobe is out, and they open sourced it 🐐 I've built a live real time demo on Hugging Face Spaces 📹💨

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Real Human support for Seedance 2.0 is now available in ComfyUI. Unlock real human video generation with Seedance 2.0 now in ComfyUI. This unlocks real-person video generation with consistent identity and authentic facial expressions — after a one-time verification.
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Real Human support for Seedance 2.0 is now available in ComfyUI. Unlock real human video generation with Seedance 2.0 now in ComfyUI. This unlocks real-person video generation with consistent identity and authentic facial expressions — after a one-time verification.

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You can play around with this interactive wiring diagram in Service Mode Tap any connector to see what each wire does & where it runs, all in real time

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A 1-billion-parameter AI real-time motion model that connects to a 1080P camera or uploaded videos, supports UE/Unity/Blender, and requires 8GB of VRAM for real-time processing.
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A 1-billion-parameter AI real-time motion model that connects to a 1080P camera or uploaded videos, supports UE/Unity/Blender, and requires 8GB of VRAM for real-time processing.

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