Wan2.2 is the world's first open-source MoE (Mixture-of-Experts) video generation model developed by Alibaba Tongyi Lab. It enables users to create professional cinematic videos from text (text-to-video) or images (image-to-video) at 720P resolution with 24fps. Key features include advanced motion understanding, stable video synthesis, and fine-grained cinematic control over lighting, color, and composition. It is fully open-source with complete model weights, optimized for performance, and can run efficiently on
Open-source MoE AI video generation with cinematic control.
- Creating professional cinematic videos from text or images
- Bringing static images to life with dynamic sequences
- Transforming ideas into cinematic masterpieces for filmmakers and content creators
- Integrating into production pipelines for pre-visualization
- Accelerating research in video diffusion models
- Generating AI-powered video demos
- Users can get started with Wan2.2 by downloading the models from GitHub
- trying the online demo
- or accessing ready-to-use deployments on Hugging Face. The model allows users to input text or images to generate high-quality cinematic videos.
Open source data labeling tool for various data types and M/L integration.
AI community platform for open-source ML models, datasets, and applications.
Managed cloud hosting for OpenClaw, offering one-click deployment of a 24/7 private AI assistant.
Open-source AI search engine for fast and relevant full-text searches.
Open-source unified multimodal AI for understanding, generation, editing.
Open-source fine-tuning & reinforcement learning for LLMs. 🦥
Cloud platform for open-source generative AI art and video tools.
Open-source AI platform with customizable AI tools and models.
Open-source 15B parameter AI model for joint video and synchronized audio generation.
