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New model from Meituan LongCat 🚀 LongCat-Video-Avatar🔥 Audio driven character animation with text, image, and video inputs, all in one! ✨ MIT license ✨ Audio > talking video (single & multi-person) ✨ Natural motion and lip sync ✨ Fewer repeats, stable identity ✨ Available on Hugging Face

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Adina Yakup

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13,881 görüntüleme • 8 ay önce •via X (Twitter)

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Meet LongCat-Video-Avatar: a robust audio-driven avatar model that pushes the boundaries of long-form video generation. Compared with the previous InfiniteTalk, LongCat-Video-Avatar delivers far better long-sequence stability and realism. New highlights： ⚙ Built on the LongCat-Video architecture, now supporting Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and Video Continuation modes. 🎭 Open-source SOTA Realism: Ranked 1st in overall anthropomorphism scores for both single and multi-subject scenarios in EvalTalker evaluations (492 participants, 3 independent raters per video). ♾ High-quality long videos: Cross-Chunk Latent Stitching prevents pixel degradation and error accumulation over time, ensuring seamless stitching quality. 🔒 Long-term consistency: Reference Skip Attention maintains ID consistency while eliminating rigid copy-paste artifacts. 🪄 Supports multi-person and infinite-length video generation. 🔗Open-sourced Code: Hugging Face: Project: Paper:
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Meet LongCat-Video-Avatar: a robust audio-driven avatar model that pushes the boundaries of long-form video generation. Compared with the previous InfiniteTalk, LongCat-Video-Avatar delivers far better long-sequence stability and realism. New highlights： ⚙ Built on the LongCat-Video architecture, now supporting Audio-Text-to-Video (AT2V), Audio-Text-Image-to-Video (ATI2V), and Video Continuation modes. 🎭 Open-source SOTA Realism: Ranked 1st in overall anthropomorphism scores for both single and multi-subject scenarios in EvalTalker evaluations (492 participants, 3 independent raters per video). ♾ High-quality long videos: Cross-Chunk Latent Stitching prevents pixel degradation and error accumulation over time, ensuring seamless stitching quality. 🔒 Long-term consistency: Reference Skip Attention maintains ID consistency while eliminating rigid copy-paste artifacts. 🪄 Supports multi-person and infinite-length video generation. 🔗Open-sourced Code: Hugging Face: Project: Paper:

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yet ANOTHER release from ByteDance just landed on the hub ✨HuMo✨ > video generation w/ multi-modal conditioning: audio, text & image > supports consistent subject preservation, synchronized audio-driven motion > based on Wan 2.1 & Whisper Large v3
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yet ANOTHER release from ByteDance just landed on the hub ✨HuMo✨ > video generation w/ multi-modal conditioning: audio, text & image > supports consistent subject preservation, synchronized audio-driven motion > based on Wan 2.1 & Whisper Large v3

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🚨 DreamActor M2.0 is now live on fal! 🎥 Drive any character from a single image + template video 👥 Multi-character & non-human driving 🎯 SOTA pose replication with identity & background preservation ✨ Precise facial expressions, lip sync & gesture control

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The wait is over 💥 Seedance 2.0 is now on Freepik. EVERY plan. EVERYWHERE → Full cinematic video from a SINGLE prompt → Multimodal: text, image, video, audio → Lip-sync and beat-synced audio built in → Motion control via references Try it now on Freepik

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Happy Horse 1.1 is live on Venice. Native audio + multilingual lip-sync 1080p video generation from Alibaba Cloud. Text-to-video, image-to-video, and reference-to-video. Available anonymously.
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Happy Horse 1.1 is live on Venice. Native audio + multilingual lip-sync 1080p video generation from Alibaba Cloud. Text-to-video, image-to-video, and reference-to-video. Available anonymously.

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This is crazy... Stable Avatar can turn a single image + audio into a talking avatar video of infinite length. Open-source, built on Wan 2.1 and MIT Licensed. 8 wild examples:
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This is crazy... Stable Avatar can turn a single image + audio into a talking avatar video of infinite length. Open-source, built on Wan 2.1 and MIT Licensed. 8 wild examples:

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Ovi is out on Hugging Face Twin Backbone Cross-Modal Fusion for Audio-Video Generation Ovi is a veo-3 like, video+audio generation model that simultaneously generates both video and audio content from text or text+image inputs. Video+Audio Generation: Generate synchronized video and audio content simultaneously Flexible Input: Supports text-only or text+image conditioning 5-second Videos: Generates 5-second videos at 24 FPS, area of 720×720, at various aspect ratios (9:16, 16:9, 1:1, etc)

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Happy Horse 1.0 is now available on BudgetPixel AI Generate short videos with native audio, smooth image-to-video animation, multilingual lip-sync, and cinematic visuals — all in one model. Bring your characters, pets, stories, and product ideas to life in just one click. Try it now on BudgetPixel AI

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WOW! New vid model - MOSS-Video-and-Audio: - native bimodal gen, IT2VA,T2VA; - 32B MoE for sync video & audio in one pass, - SOTA multilingual lip-sync + Sound FX; - 360p/720p, with code, weights & LoRA. Beyond words. Seriously cool.

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🚀 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

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