MuSESThermoAnalytics
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Muse ImageMeta
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Related Products
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About
Electro-optic and infrared renderings in MuSES achieve global benchmark accuracy through a stepwise workflow – beginning with heat sources such as engines, exhaust, bearings, and electronics, followed by an in-band diffuse radiosity solution. Then place your sensor at range and render multi-bounce, spectrally-summed radiance values, with DeltaT-RSS contrast metrics. Sensor response curve handy? Import it and see what you’ve been missing. With MuSES, you have reality at your fingertips. Because MuSES covers physics all the way back to heat sources and environmental loads, you can manage thermal signature contrast and evaluate control kits for low observable design in any global location. Heat shields, cooling schemes, and even camo surface treatments can be tested and evaluated for in-band radiance, replete with atmospheric attenuation along sensor line-of-sight. Triage and prioritize your engineering with MuSES early in the development cycle.
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About
Muse Image is Meta’s image generation model from Meta Superintelligence Labs, built into Meta AI for creating, editing, and sharing high-quality visuals. The model can turn simple conversational prompts into detailed images, blend multiple photos together, remove unwanted objects, generate legible text inside visuals, and create styled outputs such as portraits, posters, stickers, room redesigns, infographics, and fantasy scenes. Muse Image uses advanced reasoning through Muse Spark to plan layouts, understand context, look up real-time web information, and combine visual references more intelligently. Users can start with suggested presets, mention Instagram accounts to personalize creations, and sketch or annotate edits directly on top of an image. The model powers creative experiences across Meta AI, Instagram Stories, WhatsApp chats, and soon Facebook, Messenger, and advertiser tools through Meta Advantage+ creative.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies seeking a complete EO/IR signature simulation software
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Audience
Muse Image is best suited for everyday Meta AI users, social media creators, marketers, advertisers, designers, influencers, small businesses, and content teams that want an easy way to generate, edit, personalize, and share AI-created images across Meta apps
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationThermoAnalytics
Founded: 1996
United States
www.thermoanalytics.com/muses
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Company InformationMeta
Founded: 2004
United States
meta.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Facebook
Not Supported
Facebook Messenger
Not Supported
Flova AI
Not Supported
Instagram
Not Supported
Meta AI
Not Supported
Muse Spark
Not Supported
Muse Spark 1.1
Not Supported
Muse Spark 1.2
Not Supported
Muse Spark 1.3
Not Supported
Muse Video
Not Supported
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Integrations
Facebook
Supported
Facebook Messenger
Supported
Flova AI
Supported
Instagram
Supported
Meta AI
Supported
Muse Spark
Supported
Muse Spark 1.1
Supported
Muse Spark 1.2
Supported
Muse Spark 1.3
Supported
Muse Video
Supported
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