Update README.md

README.md

@@ -1,3 +1,24 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+In this work, we present **AMD Hummingbird-XT**, an efficient **DiT-based** video generative model designed for high-quality video generation on client-grade GPUs with **5B parameters** .
+ 
+Hummingbird-XT is trained based on Wan2.2-5B-TI2V using **DMD step distillation** with carefully designed **data curation**, enabling **3-step generation** while preserving high visual fidelity and motion quality. To reduce the computational overhead of high-resolution video decoding in 3D convolution–based VAE decoders, we introduce a **lightweight and efficient VAE decoder** by replacing part of the 3D convolutions with depthwise separable convolutions. Additionally, to further extend the length of generated videos, we introduce **Hummingbird-XTX**, an efficient **autoregressive model** for **long-video generation** based on Wan-2.1-1.3B, which is capable of generating long videos with up to **XXX frames**.
+ 
+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.
+ 
+The Training and inference code is fully released on {Github link}, and the technical details is released on {blog link}.
+ 
+ 
+ 
+ 
+ 
+Text-to-Video Generation
+ 
+
+ 
+Image-to-Video Generation
+ 
+
+Long Video Generation
+