Wan 2.5 (wan25.ai)

Wan 2.5 is a native multimodal video generation platform. It handles text, image, video, and audio inputs and outputs within a single framework. The system supports synchronized audio-visual generation and aims for cinematic quality in 1080p HD output. It is designed for researchers and creators who want integrated control over multimodal content generation and alignment through learning-based methods. The architecture emphasizes joint multimodal training and open accessibility to researchers.

Wan 2.5 operates with a unified architecture that flexibly manages multiple input and output modalities. It enables synchronized A/V generation and high-fidelity video creation. The platform targets professional and experimental use, offering AI-driven tools for producing multimedia content with aligned audio and visual elements. The workflow emphasizes quality, compatibility, and a research-friendly license approach.

Wan 2.5 provides capabilities for image editing, text-to-video, image-to-video, and audio-enabled video generation. It emphasizes native multimodal alignment, high-fidelity synthesis, and cinematic control features for professional results. The system highlights RLHF-based human preference alignment to improve over time and to support varied creative applications, including cinematic production and interactive education.

Wan 2.5 describes plans and capabilities around 1080p HD output, multilingual image‑to‑video, and native multimodal processing. It emphasizes open-source access under Apache 2.0, with scalable hardware usage and support for consumer GPUs. The platform outlines workflows, different generation modes, and the potential for enterprise features, API access, and dedicated support as part of its roadmap.

Use cases

• Cinematic production and professional video creation
• Multimodal AI research and development
• Interactive education and creative prototyping