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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

54,846 subscribers

353,217 просмотров • 6 месяцев назад •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

Hedra

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Podcasts don’t need a studio anymore. With Omnia, your voice drives the performance, and the entire scene follows your direction. Timing, rhythm, expression, motion… all in one tool. Turn podcasts into cinema. Try Hedra Omnia.

Podcasts don’t need a studio anymore. With Omnia, your voice drives the performance, and the entire scene follows your direction. Timing, rhythm, expression, motion… all in one tool. Turn podcasts into cinema. Try Hedra Omnia.

Hedra

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Kamo-1 is officially live in Open Beta and it pushes AI video into a new vertical: control. Most models chase fidelity. Kamo-1 focuses on performance control & direction. • Act out a motion → get the full-body performance • Choose camera trajectory → get real cinematography Check it out: Comment “Character motion & camera control” in the first 24 hours to get 300 credits!

Kamo-1 is officially live in Open Beta and it pushes AI video into a new vertical: control. Most models chase fidelity. Kamo-1 focuses on performance control & direction. • Act out a motion → get the full-body performance • Choose camera trajectory → get real cinematography Check it out: Comment “Character motion & camera control” in the first 24 hours to get 300 credits!

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61,506 просмотров • 8 месяцев назад

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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18,591 просмотров • 6 месяцев назад

Introducing Omnia Alpha. Audio-driven generation with full control over camera, motion, and background. Built to cross the uncanny valley without sacrificing creative control. This release is part of a larger vision. The future of world models is open and local. We're exploring how to bring our upcoming models to consumer hardware. America needs a leader in open source world models, and we're building toward that. Full version coming soon. Until then, show us what you can do with Omnia. Available now.

Introducing Omnia Alpha. Audio-driven generation with full control over camera, motion, and background. Built to cross the uncanny valley without sacrificing creative control. This release is part of a larger vision. The future of world models is open and local. We're exploring how to bring our upcoming models to consumer hardware. America needs a leader in open source world models, and we're building toward that. Full version coming soon. Until then, show us what you can do with Omnia. Available now.

Hedra

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One of the hardest things to achieve with AI is precise character motion. The new model by Kinetix, Kamo-1, is amazing at giving you far more control over your generations. It’s also the first 3D-conditioned model, so it understands the scene in 3D and gives you almost unlimited camera motion. Let me show you how to use it 👇

One of the hardest things to achieve with AI is precise character motion. The new model by Kinetix, Kamo-1, is amazing at giving you far more control over your generations. It’s also the first 3D-conditioned model, so it understands the scene in 3D and gives you almost unlimited camera motion. Let me show you how to use it 👇

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I generated the audio first. Not the video. Ship announcement, ambient hum, rising score, the exact moment before a warp jump. One prompt, in Seed Audio 1.0. Then I fed that audio into Seedance and let it build the entire bridge scene around it. Camera, motion, the jump itself, all timed to sound that already existed. This is not TTS. This is directing a scene with sound before a single frame exists. 🔊 sound on and enjoy the trip

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Camera control is no longer in the prompt Meet 3D Motion Control → Set the camera path in 3D → Your scene becomes the video reference the model follows → Same move, every take, exactly where you set it Available now in Magnific

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Magnific

606,187 просмотров • 22 дней назад

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🚀 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

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46,079 просмотров • 9 месяцев назад

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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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