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Full body motion, audio driven timing, camera direction, and world control in one model. Omnia moves past stiff avatar clips and into real performance. It understands motion, sound, text, and the scene together, so what you create feels directed, not generated. Available now.

Hedra

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353,217 görüntüleme • 6 ay önce •via X (Twitter)

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Introducing the Hedra Omnia and Avatar API🔥 Two models. One API. Built for whatever you’re creating. Omnia → short-form precision. Full camera control. Body motion. Scene direction. From a single image. Avatar → long-form endurance. Up to 5 minutes uncut. One generation. Real dialogue. No stitching. Short-form ads. Podcasts. Music videos. Cinematic UGC. If you’re building with AI video, this is your backend. The Hedra Omnia and Avatar API is available now. First 1,000 followers get the official Avatar Guide. Reply “HEDRA API” and get it dropped in DMs instantly. GO

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Woow woow wowww. Hedra introduced Omnia Alpha.💥 An audio-driven generation with full control over camera, motion, and background. 🖼️+ 🗣️+ ✍️= 📽️ Available now on Hedra, try it with 300 free credits. Link below. 👇 #aivideo #hedra #aifilm

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🤖✨Excited to share our new work: OMG: Omni-Modal Motion Generation for Generalist Humanoid Control What if a humanoid could understand intent from language, music/audio, human motion, or their combinations—and turn it into executable whole-body motion in real time? [🧵1/11]

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MotionGPT: Human Motion as a Foreign Language paper page: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic coupling akin to human language, often perceived as a form of body language. By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks. Specifically, we employ the discrete vector quantization for human motion and transfer 3D motion into motion tokens, similar to the generation process of word tokens. Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language. Moreover, inspired by prompt learning, we pre-train MotionGPT with a mixture of motion-language data and fine-tune it on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks including text-driven motion generation, motion captioning, motion prediction, and motion in-between.

MotionGPT: Human Motion as a Foreign Language paper page: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic coupling akin to human language, often perceived as a form of body language. By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks. Specifically, we employ the discrete vector quantization for human motion and transfer 3D motion into motion tokens, similar to the generation process of word tokens. Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language. Moreover, inspired by prompt learning, we pre-train MotionGPT with a mixture of motion-language data and fine-tune it on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks including text-driven motion generation, motion captioning, motion prediction, and motion in-between.

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🚨 AI News | TestingCatalog

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Introducing the Motion MCP... Connect Motion directly into Claude, Codex, Cursor, OpenClaw, Perplexity, Hermes, and more with one-click. Your agent is now your motion designer. Launch video made by prompting Motion in Claude 👇🏽 Available now at motion [dot] so.

Introducing the Motion MCP... Connect Motion directly into Claude, Codex, Cursor, OpenClaw, Perplexity, Hermes, and more with one-click. Your agent is now your motion designer. Launch video made by prompting Motion in Claude 👇🏽 Available now at motion [dot] so.

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