Wan2.5-Preview: Multimodal Generation Model

Edited by Segmind Team September 28, 2025.

What is Wan2.5-Preview?

Wan2.5-Preview is an exceptionally advanced AI model that boasts multimodal functionality to consolidate text, image, video, and audio generation within a unified system. This model produces high-resolution 1080p cinematic videos that can be up to 10 seconds long and synchronized, sans any faults, with multiple audio elements, such as voices, music, and sound effects. Wan2.5-Preview's architecture supports deep cross-modal alignment, making it ideal for professional-level multimedia content creation required by developers and creators across multiple fields.

Key Features of Wan2.5-Preview

• High-fidelity 1080p video generation: The AI model is designed to create 1080p videos that can be up to 10 seconds in length.
• Synchronized multi-track audio capability: It produces videos that are perfectly synced with multi-layered audio tracks.
• Text-to-image generation with style diversity: This advanced model can convert text into images that can be in a variety of styles.
• Precise dialog-based image editing: It can refine images by following the user's requests, making image modification a simple task.
• Multi-concept fusion support: It understands multiple ideas and can blend them into one clear, cohesive output.
• Multiple resolution options: It supports video resolutions from 832x480 to 1920x1080 for different creative requirements.
• Customizable random seeds: Users can set seeds to reproduce the same creative results with consistent outputs.
• Prompt enhancement system: The model is equipped with the option to improve upon the provided prompts to render high-end multimedia.

Best Use Cases

• Content Creation: It can create professional video content with synchronized audio.
• Digital Marketing: It is optimal for designing engaging multimedia assets needed for successful campaigns.
• Game Development: It is an excellent platform for developing and testing prototypes of cinematics and visual elements.
• UI/UX Design: It can generate diverse visual styles and professional charts that fit different user needs.
• Film Production: It can be a great option to create quick previews and concept visualizations before the final product is released.
• Educational Content: It can be used to produce synchronized audio-visual learning materials and boost the teaching-learning experience.

Prompt Tips and Output Quality

• Use clear, descriptive prompts for creative scenes
• Include specific style references for consistent results
• Provide negative prompts to avoid unwanted elements
• For best video results:
  • Set duration to 10s for complex scenes
  • Use 1920x1080 resolution for professional quality
  • Upload high-quality audio for better synchronization
• Enable prompt expansion for enhanced detail and creativity

FAQs

How does Wan2.5-Preview handle audio synchronization?

• Wan2.5-Preview supports the audio and video synchronization to align audio elements like voice and music with visuals. It gives the option to upload audio files as URLs, and the model ensures perfect timing is maintained for a seamless and professional final video.

What resolutions are supported?

• The Wan2.5-Preview supports multiple resolutions from 832x480 to 1920x1080, in landscape and portrait orientations. You can select the resolution based on your output needs and processing requirements.

Can I control the consistency of outputs?

• Yes, using the seed parameter (default: 42), you can easily control the output's consistency by keeping the same seed for uniformity in results or randomizing it for variation.

How does prompt expansion work?

• If you enable the prompt expansion feature, it enriches your prompt or input with additional context and details to render more nuanced and enhanced outputs. You can disable the prompt expansion if you want the model to follow your prompts strictly.

What types of image editing are supported? You can use dialog-based instructions to execute complex editing tasks, including style transfers, material changes, and multi-concept fusion.