15s of MiniMax-H3 video + audio, generated in ~72s on one RTX 5090.
Our baseline took ~26 minutes. We wrote up how LightX2V got it down to 72s 👇
768×1344, steady-state benchmark. MP4 export and network transfer excluded.
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@LightX2V
Make something fun with LightX2V ✨🪐 Studio: https://t.co/qEDEa50IEE Discord: https://t.co/RhYdAsdJY6 Github🔍: https://t.co/Pi5qOFuxmz
LightX2V studio @LightX2VLightX2V powers real-time EdenLive on a single RTX 5090 ⚡ Our team built the acceleration that makes this setup possible. 🥳 Proud to play a key role in bringing EdenLive to the community, and big thanks to the VAST team for open-sourcing it! Got an RTX 5090? Grab the code and try EdenLive locally with LightX2V. We’d love to hear how it runs for you! 🙌 👉 Try it with LightX2V: 🌱 Explore EdenLive:
Chengtao Lv @mackWilliams319🚀 We're excited to release LightVAE! The first framework to accelerate both video VAE encoding and decoding. ⚡ Up to 4.2× faster VAE decoding! MiniMax-H3 reference-image encoding is also up to 2.68× faster. ✨ Supports Wan2.1, Wan2.2, and MiniMax-H3, with high-fidelity and lightweight variants that largely preserve generation quality. 🧩 Temporal low-rank compression, block pruning, and teacher-guided quality recovery. Code, model weights, and ComfyUI workflows are all open source! 🙌 Check it out and give it a try—we'd love to hear your feedback! 📄 Paper: LightVAE: Towards Compact and Efficient Video Autoencoders 🤗 Model weights: ⭐ Code and ComfyUI workflows:
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