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LUMIERE

Text-to-video diffusion model for synthesizing realistic, coherent motion videos.

Last updated: Jun 24, 2026

About LUMIERE

Lumiere is a space-time diffusion model developed by Google Research designed for synthesizing videos with realistic, diverse, and coherent motion from text prompts. Unlike existing video models that generate keyframes followed by temporal super-resolution, Lumiere uses a Space-Time U-Net architecture to generate the entire temporal duration of video at once in a single pass, processing multiple space-time scales simultaneously. This approach ensures better global temporal consistency and enables full-frame-rate, low-resolution video generation. The model supports multiple creative applications including text-to-video generation, image-to-video conversion, video stylization, cinemagraph creation, and video inpainting. While the tool represents state-of-the-art video synthesis capabilities, researchers acknowledge potential risks of misuse for creating misleading or harmful content, though detection tools remain under development.

At a glance

Company
Google Research
Platforms
Web
Last verified
June 2026
Last updated: June 24, 2026

Who It's For

  • Content creators and filmmakers
  • Video editors and visual effects professionals
  • Researchers in computer vision and generative models
  • Novice users seeking creative video generation tools

How It Works

  1. 1Leverages a Space-Time U-Net architecture that generates the entire video temporal duration simultaneously in a single pass
  2. 2Processes video at multiple space-time scales using both spatial and temporal down- and up-sampling
  3. 3Utilizes pre-trained text-to-image diffusion model weights for improved learning efficiency
  4. 4Generates full-frame-rate, low-resolution video outputs through this unified space-time processing approach

How to Use LUMIERE

  1. 1Provide text prompts describing the desired video content for text-to-video generation
  2. 2Upload reference images for image-to-video or stylized generation tasks
  3. 3Use masks to define specific regions for cinemagraph animation or video inpainting
  4. 4Apply text-based editing instructions to modify existing videos

Key Features

  • Text-to-video generation with realistic motion synthesis
  • Image-to-video conversion capabilities
  • Video stylization using reference images
  • Cinemagraph creation with selective animation
  • Video inpainting and regional editing
  • Space-Time U-Net architecture for temporal consistency
  • Integration with pre-trained text-to-image diffusion models
  • Support for various creative content creation tasks

Use Cases

  • Text-to-video generation from natural language descriptions
  • Image-to-video animation and content generation
  • Video stylization using reference images
  • Creating cinemagraphs with animated regions within static images
  • Video inpainting and editing with text-guided modifications

Pros & Cons

Advantages

  • Generates entire video sequences simultaneously, ensuring superior global temporal consistency compared to keyframe-based methods
  • Supports diverse creative applications (text-to-video, image-to-video, stylization, inpainting) from a single architecture
  • Achieves state-of-the-art video generation quality with realistic and coherent motion
  • Leverages pre-trained diffusion models for efficient learning

Disadvantages

  • Researchers acknowledge potential for misuse in creating fake or harmful content without fully developed detection tools
  • As a research model, unclear availability or ease of public access for practical use
  • Limited to low-resolution video output in its current form

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Frequently Asked Questions

What is LUMIERE?

Lumiere is a space-time diffusion model developed by Google Research designed for synthesizing videos with realistic, diverse, and coherent motion from text prompts. Unlike existing video models that generate keyframes followed by temporal super-resolution, Lumiere uses a Space-Time U-Net architecture to generate the entire temporal duration of video at once in a single pass, processing multiple space-time scales simultaneously.

How much does LUMIERE cost?

LUMIERE is free to use.

Is LUMIERE free?

Yes, LUMIERE offers a free plan you can start with.

What are the best LUMIERE alternatives?

Popular LUMIERE alternatives include Gen-2 by Runway, Kaiber AI, Artflow AI.

What is LUMIERE used for?

LUMIERE is commonly used for Text-to-video generation from natural language descriptions, Image-to-video animation and content generation, Video stylization using reference images.

What platforms does LUMIERE support?

LUMIERE is available on Web.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.