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As a result, Hummingbird-XT achieves a **33×** speedup on Strix Halo iGPU and a **40×** speedup on AMD Instinct™ MI325, and supports generating **121-frame** videos at **720×1280** resolution across both server-grade (AMD Instinct™ MI300 and AMD Instinct™ MI325) and client-grade (Strix Halo and Navi48) devices. Quantitative results on the VBench-T2V and VBench-I2V benchmarks show that Hummingbird-XT achieves competitive performance compared to the original **Wan2.2-5B-TI2V** model.
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The Training and inference code is fully released on
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As a result, Hummingbird-XT achieves a **33×** speedup on Strix Halo iGPU and a **40×** speedup on AMD Instinct™ MI325, and supports generating **121-frame** videos at **720×1280** resolution across both server-grade (AMD Instinct™ MI300 and AMD Instinct™ MI325) and client-grade (Strix Halo and Navi48) devices. Quantitative results on the VBench-T2V and VBench-I2V benchmarks show that Hummingbird-XT achieves competitive performance compared to the original **Wan2.2-5B-TI2V** model.
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The Training and inference code is fully released on [Hummingbird-XT](https://github.com/AMD-AGI/HummingbirdXT), and the technical details is released on [Bridging the Last Mile: Deploying Hummingbird-XT for Efficient Video Generation on AMD Consumer-Grade Platforms](https://rocm.blogs.amd.com/artificial-intelligence/hummingbirdxt/README.html).
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