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VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Generative models for conditional audio generation
A library for mechanistic interpretability of GPT-style language models
The best OSS video generation models, created by Genmo
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Dead simple FLUX LoRA training UI with LOW VRAM support
Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.
[NeurIPS 2025] OmniSVG is the first family of end-to-end multimodal SVG generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed SVGs, from simple icons to intricate anime characters.
Fully open data curation for reasoning models
Helios: Real Real-Time Long Video Generation Model
[CVPR 2025] Magma: A Foundation Model for Multimodal AI Agents
Reference implementations of MLPerf® training benchmarks
MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion, mixed-CoT, unified RL)
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型,可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成,只需要一个模型