Open-source MoE video generation model for cinematic text-to-video and image-to-video at 720P, with full source code and model weights.
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 or images at 720P resolution with 24fps. The model offers 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 available on GitHub, and can run on consumer-grade GPUs like the RTX 4090.
Key Features
check_circleOpen-source MoE architecture
check_circleText-to-video generation
check_circleImage-to-video generation
check_circle720P resolution at 24fps
check_circleCinematic control over lighting, color, composition
check_circleAdvanced motion understanding
check_circleStable video synthesis with realistic physics
check_circleSupport for 480P and 720P
check_circleOptimized for consumer GPUs (e.g., RTX 4090)
check_circleComplete model weights available
check_circleCommunity support and documentation
check_circleOnline demo available
check_circleHugging Face deployment
check_circleScalable data training with 65.6% more images
check_circleAesthetic data fine-tuning
Use Cases
lightbulbIndependent filmmakers create professional cinematic sequences from text prompts, achieving shot language that previously required expensive equipment.
lightbulbAI researchers study and modify the open-source code to accelerate research in video diffusion models and MoE architectures.
lightbulbContent creators generate high-quality 720P videos without subscription fees, using advanced motion control for complex scenes like dance or parkour.
lightbulbVideo studio owners integrate Wan2.2 into their production pipeline for pre-visualization, leveraging aesthetic data training and cinematic control.
lightbulbOpen-source developers contribute to the well-structured codebase, implementing new features with community support.
lightbulbTechnology analysts evaluate the paradigm shift in AI video generation, noting the transparency and collaboration enabled by open-source MoE implementation.
lightbulbHobbyists run the optimized TI2V-5B model on a single RTX 4090 to generate 720P videos at 24fps for personal projects.
video generationopen sourceMoEtext-to-videoimage-to-videocinematicAIdeep learningdiffusion model720PAlibabaTongyi LabGitHubHugging Face
