Famous Vision Language Models and Their Architectures

ComfyUI-QwenVL custom node: Integrates the Qwen-VL series, including Qwen2.5-VL and the latest Qwen3-VL, with GGUF support for advanced multimodal AI in text generation, image understanding, and video analysis.

A most Frontend Collection and survey of vision-language model papers, and models GitHub repository. Continuous updates.

A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.

Reinforcement Learning of Vision Language Models with Self Visual Perception Reward

Mark web pages for use with vision-language models

Local Video RAG Engine. A FastAPI microservice for video understanding: Scene Detection + Whisper ASR + Qwen3-VL. Optimized for Apple Silicon (MLX) & Windows/Linux (Llama.cpp).

An AI Agent that is able to control your screen to complste any task

Running Large Language Model easily.

🛠️ Build and train multimodal models easily with LLaVA-OneVision 1.5, an open framework designed for seamless integration of vision and language tasks.

Qwen-VL base model for use with Autodistill.

🤖 The Next-Gen AI Agent. Unlike normal agents, it goes beyond text and can control your Desktop & Android.

creates text from video and audio using Qwen-VL and Whisper

A computer vision system for automated analysis of index cards from a collection of coin forgeries using Qwen2.5-VL vision-language model. Developed for the imagines nummorum project.

EYUAI

Generate vivid, human-like captions for portrait images using the Qwen2.5-VL-7B model. Outputs dense descriptions covering emotion, posture, clothing, and environment.

A specialized ComfyUI toolkit for Qwen Image Edit workflows. It provides official training resolution calibration, real-time UI aspect ratio feedback, and intelligent image scaling (Crop/Pad/Stretch) to ensure optimal inference quality for Qwen-series image editing and generation.

Unified evaluation harness for Vision-Language Models — VQAv2, TextVQA, COCO, MMBench, MMBench-CN

Enable local integration of Qwen3.5 models with ComfyUI for text generation and multimodal visual tasks, featuring automatic model management and precision control.

🗣️ Enable text-to-speech with Qwen TTS, a simple API solution that seamlessly integrates into your applications using Docker and Home Assistant.