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Description

Muse Video is Meta’s upcoming AI video generation model developed by Meta Superintelligence Labs as part of the company’s new media generation lineup. Previewed with Muse Image, the model is built on the same pretraining base and is designed to produce visually detailed videos with native audio support. Muse Video is focused on generating clips that follow prompts closely, maintain strong visual fidelity, and preserve temporal consistency across motion and scene changes. It can create realistic short videos with clear beginnings, actions, and payoffs, such as animals moving through a scene, handheld first-person footage, product commercials, and UGC-style social ads. The model supports audio-rich outputs that may include environmental sound, foley, music, voiceover, and synchronized spoken dialogue. Meta highlights Muse Video’s ability to handle cinematic prompts, vertical ad formats, realistic camera movement, product demonstrations, and emotionally engaging creative concepts. The company is still investing in improvements for difficult areas such as audio-video sync and physically accurate fast motion. Muse Video is expected to become available to creators and in Meta AI, expanding Meta’s generative AI tools from image creation into video. As part of Meta’s broader creative ecosystem, Muse Video is built to help users, creators, and businesses turn prompts into dynamic, shareable video content.

Description

Wan2.1 represents an innovative open-source collection of sophisticated video foundation models aimed at advancing the frontiers of video creation. This state-of-the-art model showcases its capabilities in a variety of tasks, such as Text-to-Video, Image-to-Video, Video Editing, and Text-to-Image, achieving top-tier performance on numerous benchmarks. Designed for accessibility, Wan2.1 is compatible with consumer-grade GPUs, allowing a wider range of users to utilize its features, and it accommodates multiple languages, including both Chinese and English for text generation. The model's robust video VAE (Variational Autoencoder) guarantees impressive efficiency along with superior preservation of temporal information, making it particularly well-suited for producing high-quality video content. Its versatility enables applications in diverse fields like entertainment, marketing, education, and beyond, showcasing the potential of advanced video technologies.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

1forAll.ai No 
Auralume AI No 
Collart No 
Everlyn No 
Facebook Yes 
Facebook Messenger Yes 
HeyVid.ai No 
Instagram Yes 
Magica No 
Meta AI Yes 
Monet AI No 
Muse Image Yes 
Muse Spark Yes 
Muse Spark 1.2 Yes 
Muse Spark 1.3 Yes 
Promptus No 
SiliconFlow No 
VidFlux AI No 
WhatsApp Yes 
ZenCreator No 

Integrations

1forAll.ai Yes 
Auralume AI Yes 
Collart Yes 
Everlyn Yes 
Facebook No 
Facebook Messenger No 
HeyVid.ai Yes 
Instagram No 
Magica Yes 
Meta AI No 
Monet AI Yes 
Muse Image No 
Muse Spark No 
Muse Spark 1.2 No 
Muse Spark 1.3 No 
Promptus Yes 
SiliconFlow Yes 
VidFlux AI Yes 
WhatsApp No 
ZenCreator Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

wan.video

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