vLLM-Omni: Revolutionizing Omni-Modality AI Model Serving with High-Throughput Performance
1 months ago 高效码农Announcing vLLM-Omni: Easy, Fast, and Cheap Omni-Modality Model Serving Core Question Addressed: How can we efficiently serve the next generation of AI models that process and generate text, images, audio, and video, overcoming the limitations of serving engines designed only for text-based Autoregressive tasks? The landscape of generative AI is undergoing a profound transformation. Models are rapidly evolving from specialized Large Language Models (LLMs) to powerful “omni-agents” capable of seamlessly reasoning across and generating content in text, images, audio, and video modalities. This shift—from “text-in, text-out” to complex, heterogeneous input and output—demands an equally revolutionary shift in the underlying infrastructure. …
MagicTryOn: Revolutionizing Fashion with AI-Powered Video Try-On Technology
7 months ago 高效码农MagicTryOn: Harnessing Diffusion Transformers for High‑Fidelity Video Virtual Try‑On In the rapidly evolving world of e‑commerce and social media, the demand for realistic, engaging virtual try‑on experiences has never been higher. Shoppers crave the ability to preview garments on dynamic models or even themselves before making a purchase, and content creators want seamless, high‑quality video overlays that preserve intricate clothing details as the subject moves. Traditional image‑based virtual try‑on methods fall short when extended to videos: they struggle with jitter, temporal inconsistency, and loss of fine textures. Enter MagicTryOn, an end‑to‑end video virtual try‑on framework built around a Diffusion Transformer …