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What is Wan2.5?

Wan2.5-Preview represents a major evolution in multimodal AI, introducing an architecture built from the ground up for deep alignment and unified media generation. The system is trained jointly on text, audio, and visual data, giving it an advanced understanding of cross-modal relationships and allowing it to follow complex instructions with far greater accuracy. Reinforcement learning from human feedback shapes its preferences, producing more natural compositions, richer visual detail, and refined video motion. Its video generation engine supports 1080p output at 10 seconds with consistent structure, cinematic dynamics, and fully synchronized audio—capable of blending voices, environmental sounds, and background music. Users can supply text, images, or audio references to guide the model, enabling highly controllable and imaginative outputs. In image generation, Wan2.5 excels at delivering photorealistic results, diverse artistic styles, intricate typography, and precision-built diagrams or charts. The editing system supports instruction-based modifications such as fusing multiple concepts, transforming object materials, recoloring products, and adjusting detailed textures. Pixel-level control allows for surgical refinements normally reserved for expert human editors. Its multimodal fusion capabilities make it suitable for design, filmmaking, advertising, data visualization, and interactive media. Overall, Wan2.5-Preview sets a new benchmark for AI systems that generate, edit, and synchronize media across all major modalities.

What is Runway Aleph?

Runway Aleph signifies a groundbreaking step forward in video modeling, reshaping the realm of multi-task visual generation and editing by enabling extensive alterations to any video segment. This advanced model proficiently allows users to add, remove, or change objects in a scene, generate different camera angles, and adjust style and lighting in response to either textual commands or visual input. By utilizing cutting-edge deep-learning methodologies and drawing from a diverse array of video data, Aleph operates entirely within context, grasping both spatial and temporal aspects to maintain realism during the editing process. Users gain the ability to perform complex tasks such as inserting elements, changing backgrounds, dynamically modifying lighting, and transferring styles without the necessity of multiple distinct applications. The intuitive interface of this model is smoothly incorporated into Runway's Gen-4 ecosystem, offering an API for developers as well as a visual workspace for creators, thus serving as a versatile asset for both industry professionals and hobbyists in video editing. With its groundbreaking features, Aleph is poised to transform the way creators engage with video content, making the editing process more efficient and creative than ever before. As a result, it opens up new possibilities for storytelling through video, enabling a more immersive experience for audiences.

Media

No images available

Media

Integrations Supported

AIReel
Fuser
Gen-4
Inspix AI
Prism
Wan AI
ZenCreator

Integrations Supported

AIReel
Fuser
Gen-4
Inspix AI
Prism
Wan AI
ZenCreator

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

wan.video

Company Facts

Organization Name

Runway

Date Founded

2018

Company Location

United States

Company Website

runwayml.com/research/introducing-runway-aleph

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