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Average Ratings 0 Ratings

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ease
features
design
support

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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

The HDR method enables the production of images that closely resemble how scenes are actually perceived in the real world. When photographing scenes with both extremely dark and very bright elements, traditional cameras struggle to capture the full spectrum of light, leading to images that may have areas that are either too dark or too bright, which are challenging to fix during editing. To address this issue and effectively capture the complete range of luminosity, the HDR approach involves taking multiple photographs of the same scene at different exposure levels and merging them into a single, comprehensive image. One popular software for HDR processing is SNS-HDR, which allows users to create HDR images from a series of photos or even process individual images. With a diverse set of features, this software is designed to ensure that the resulting images maintain a natural appearance, thus enhancing the overall quality of the photographs. Ultimately, the adoption of HDR techniques not only improves image fidelity but also enriches the viewer's experience by providing a more accurate representation of the original scene.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Facebook
Facebook Messenger
Instagram
Meta AI
Muse Image
Muse Spark
Muse Spark 1.1
WhatsApp

Integrations

Facebook
Facebook Messenger
Instagram
Meta AI
Muse Image
Muse Spark
Muse Spark 1.1
WhatsApp

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

€30 per license
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

meta.ai

Vendor Details

Company Name

SNS-HDR

Website

www.sns-hdr.com

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