Meta Launches Muse Image, Previews No. 3-Ranked Muse Video AI Model
Updated
Updated · Meta AI · Jul 7
Meta Launches Muse Image, Previews No. 3-Ranked Muse Video AI Model
3 articles · Updated · Meta AI · Jul 7
Summary
Muse Image is now live in the Meta AI app, on meta.ai, in U.S. Instagram Stories and limited-country WhatsApp, with Facebook support coming soon.
The model acts as an agent rather than a simple prompt-to-image system, using web search, code execution and self-refinement to improve factual accuracy, editing precision and multi-reference composition.
Meta said Muse Image ranks No. 2 on Arena for text-to-image and image editing, while the previewed Muse Video ranks No. 3 for text-to-video and adds native audio support.
Images made in the Meta AI app and on meta.ai carry Meta's invisible Content Seal watermark, which the company says survives cropping, compression, resizing and screenshots; video support is planned.
The launch also deepens Meta's use of Instagram context in AI generation, extending creator and business tools across its apps as scrutiny grows over default reuse of public profile photos.
With AI replacing jobs and creating ads, will Meta’s new tools help or harm creators?
Will Meta's massive AI investment finally break its deep dependency on advertising revenue?
As Meta enters the cloud computing market, can smaller AI cloud providers possibly survive?
Meta’s $145 Billion AI Bet: Muse Spark’s Delayed Launch, Strategic Shift, and the Race for Monetization in 2026
Overview
Muse Spark, Meta’s first major new AI model since April 2026, has powered Meta’s internal AI products but faced repeated delays in public API access for developers. Although Meta promised API availability by June 2026, ongoing delays as of July have become a major bottleneck, preventing external developers from using Muse Spark and hindering Meta’s ability to monetize the model. This situation risks losing market share to competitors, as Meta’s substantial investment in AI infrastructure has yet to translate into external revenue. The delays highlight a critical challenge for Meta in turning its AI advancements into commercial success.