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RAHUL YASHWANTKUMAR GUPTA

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Flux Loras
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Flux Loras
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🚀 Introducing Helios: a 14B real-time long-video generation model! It’s completely wild—faster than 1.3B models and achieves this without using self-forcing. Welcome to the new era of video generation! 😎👇 💻 Code: https://github.com/PKU-YuanGroup/Helios 🏠 Page: https://pku-yuangroup.github.io/Helios-Page 📄 Paper: https://huggingface.co/papers/2603.04379 🔹 True Single-GPU Extreme Speed ⚡️ No need to rely on traditional workarounds like KV-cache, quantization, sparse/linear attention, or TinyVAE. Helios hits an end-to-end 19.5 FPS on a single H100! Training is also highly accessible: an 80GB VRAM can fit four 14B models. 🔹 Solving Long-Video "Drift" from the Core 🎥 Tired of visual drift and repetitive loops? We ditched traditional hacks (like error banks, self-forcing, or keyframe sampling). Instead, our innovative training strategy simulates & eliminates drift directly, keeping minute-long videos incredibly coherent with stunning quality. ✨ 🔹 3 Model Variants for Full Coverage 🛠️ With a unified architecture natively supporting T2V, I2V, and V2V, we are open-sourcing 3 flavors: 1️⃣ Base: Single-stage denoising for extreme high-fidelity. 2️⃣ Mid: Pyramid denoising + CFG-Zero for the perfect balance of quality & throughput. 3️⃣ Distilled: Adversarial Distillation (DMD) for ultra-fast, few-step generation. 🔹 Day-0 Ecosystem Ready 🌍 We wanted deployment to be a breeze from the second we launched. Helios drops with comprehensive Day-0 hardware and framework support: ✅ Huawei Ascend-NPU ✅ HuggingFace Diffusers ✅ vLLM-Omni ✅ SGLang-Diffusion Try it out and let us know what you think!
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