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What is Muse Video?

Muse Video is Meta’s previewed AI video generation model from Meta Superintelligence Labs, created to bring high-quality video generation into Meta AI and creator workflows. It was introduced alongside Muse Image as one of Meta’s first media generation models from the new lab, with both models sharing the same pretraining foundation. Muse Video is designed to create short videos with strong prompt adherence, visual fidelity, temporal consistency, and native audio support. The model can generate scenes that include realistic motion, camera movement, environmental sound, voice, music, foley, and cinematic structure. Example use cases include animal clips, product ads, first-person nature footage, vertical UGC-style commercials, branded video concepts, and short continuous scenes with a clear beginning, action, and payoff. Muse Video is built for prompts that require both visual and audio direction, such as synchronized speech, diegetic sound, music beds, product sound effects, and natural scene ambience. Meta says the model performs competitively on human-preference video generation benchmarks and is continuing to improve in areas where video models often struggle. Those areas include better audio-video synchronization, more physically accurate fast motion, and stronger consistency across complex moving subjects. The model is expected to come soon to creators and Meta AI, where it will expand Meta’s generative tools beyond still images into dynamic video content. Meta also plans to extend its Content Seal watermarking system to video, helping people identify AI-generated media. By combining video generation, native audio, realistic scene construction, and future integration across Meta products, Muse Video is positioned as a major creative tool for social content, advertising, storytelling, and brand media.

What is Gemini Omni 1.2 Flash?

Gemini Omni 1.2 Flash is an AI-powered video generation and editing model developed by Google DeepMind for creating multimedia content through natural language instructions and multimodal reference inputs. The model generates videos with synchronized audio and supports clip durations from 3 to 15 seconds, providing greater flexibility for short-form content, product demonstrations, and digital advertising. Users can create videos from written prompts while incorporating reference photographs, character images, short motion clips, and audio cues to guide the final output. Its improved reference adherence helps preserve facial characteristics, clothing details, product packaging, typography, brand colors, and environmental features across different camera angles and scenes. Gemini Omni 1.2 Flash supports first-to-last-frame interpolation and clip extension, allowing creators to develop continuous sequences while maintaining consistent characters, objects, and visual compositions. Its motion generation capabilities enable complex camera movements, including tracking shots, cinematic zooms, orbits, and first-person flythroughs with fewer unwanted transitions. The model provides native speech generation with improved dialogue naturalness, synchronized lip movements, and distinct voice conditioning for scenes involving multiple speakers. Multi-turn conversational editing allows users to refine an existing video through follow-up prompts that modify backgrounds, objects, lighting, weather, or aspect ratios without starting the generation process again. Video production workflows support 360p and 720p output with optional upscaling to 1080p or 4K, enabling users to balance generation speed, cost, and visual quality.

Media

Media

Integrations Supported

Facebook
Facebook Messenger
Meta AI
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Muse Spark 1.3
Muse Wonder
WhatsApp

Integrations Supported

Gemini
Gemini Omni
Google AI Plus
Google AI Pro
Google AI Ultra
Google Flow
Google Flow Music
Hermes Agent
OpenClaw
SynthID
YouTube

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.07 per second
$0.07 per second for 720p video and support for SynthID watermarking

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

meta.ai

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

blog.google/innovation-and-ai/technology/developers-tools/introducing-gemini-omni-1-2-flash/

Categories and Features

AI Models

Not specified

AI Video Generators

Not specified

AI Video Models

Not specified

Categories and Features

AI Models

Not specified

AI Video Editors

Not specified

AI Video Generators

Not specified

AI Video Models

Not specified

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