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UniVideo: Open-Source Unified Understanding, Generation, and Editing of Videos

UniVideo, an open-source platform for unified video understanding, generation, and editing, supports video/image understanding, text/image-to-image/video generation, free-form image/video editing, and reference-driven image/video generation/editing.

Open source

Qwen3-VL-Embedding, Qwen3-VL-Reranker: Multimodal Embedding and Re-ranking Models

Qwen3-VL-Embedding and Qwen3-VL-Reranker are multimodal embedding and re-ranking models that support text, images, screenshots, videos, and mixed-modal inputs, enabling advanced information retrieval and cross-modal understanding.

Open source

NextFlow: Unifying Sequential Modeling for Enhanced Multimodal Understanding and Generation

NextFlow unifies sequential modeling to activate multimodal understanding and generation, trained on 6T interleaved text-image tokens. It bridges the gap between understanding and generation within a single architecture, redefining sequential modeling.

Open source

DreamStyle: A Unified Framework for Video Style Transfer

DreamStyle, a unified framework for video stylization, supports text-guided, style-image-guided, and first-frame-guided video stylization.

Open source

MiroThinker v1.5, Open-Source Search Agent

MiroThinker v1.5, an open-source search agent, advances tool-augmented reasoning through interactive extension techniques, training models to handle deeper and more frequent agent-environment interactions as a third dimension of performance improvement, surpassing model size and context length.

Open source

LTX-2: An Open-Source Audio-Visual Foundation Model Based on DiT

LTX-2 is an open-source, DiT-based foundation model for multimodal generation, designed to produce synchronized video and audio within a single model, supporting text-to-video and image-to-video generation.

Open source

AntAngelMed: An Open-Source Medical Language Model by Ant Health

AntAngelMed, developed by Ant Health, leads China's MedAIBench and excels on OpenAI's HealthBench.

Open source

DreamID-V: High-Fidelity Face Swapping from Images to Videos

DreamID-V bridges the high-fidelity face swapping gap between images and videos through a diffusion transformer, achieving precise facial reenactment across multiple challenging scenarios—including hair occlusion, complex lighting, diverse ethnicities, and significant facial shape variations.