Lumiere: Google's Space-Time Diffusion Model for Video Generation

Lumiere

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Last Updated:
2025/10/10
Description:
Lumiere is Google's space-time diffusion model for generating realistic and coherent videos from text or images. It supports stylized generation, video stylization, cinemagraphs, and inpainting.
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text-to-video generation
video stylization
cinemagraphs
video inpainting
diffusion model

Overview of Lumiere

Lumiere: Google's Innovative Space-Time Diffusion Model for Video Generation

What is Lumiere?

Lumiere, developed by Google Research, is a groundbreaking text-to-video diffusion model designed to synthesize videos with realistic, diverse, and coherent motion. It addresses a key challenge in video synthesis by introducing a Space-Time U-Net architecture. This architecture generates the entire temporal duration of the video at once, processing it in multiple space-time scales during a single pass.

How does Lumiere work?

Unlike existing video models that synthesize distant keyframes followed by temporal super-resolution, Lumiere generates full-frame-rate, low-resolution videos directly. By employing both spatial and temporal down- and up-sampling and leveraging a pre-trained text-to-image diffusion model, Lumiere achieves global temporal consistency more effectively.

Key Features and Capabilities:

  • Text-to-Video Generation: Create videos from text prompts, bringing your ideas to life with realistic motion and coherent scenes.
  • Image-to-Video Generation: Animate static images by adding motion and dynamics based on a text prompt. See examples of a sad cat in a shirt or a teddy bear dancing in the snow.
  • Stylized Generation: Generate videos in a specific style using a single reference image. This allows you to create videos with unique visual aesthetics, like making a video look like a sticker or origami art.
  • Video Stylization: Apply text-based image editing methods consistently across a video to change the style and appearance. For example, transform a source video to look like it's made of wooden blocks or colorful toy bricks.
  • Cinemagraphs: Animate specific regions within an image to create captivating cinemagraphs where only certain elements move, drawing the viewer's eye.
  • Video Inpainting: Seamlessly fill in masked regions of a video, allowing you to remove or replace objects and elements within the scene.

Use Cases:

  • Content Creation: Generate unique video content for social media, marketing, or personal projects.
  • Video Editing: Enhance existing videos with stylized effects, object removal, or targeted animation.
  • Artistic Expression: Explore new forms of visual art by combining text, images, and video in innovative ways.

Who is Lumiere for?

Lumiere is ideal for:

  • Content Creators: Generate engaging video content quickly and easily.
  • Video Editors: Add unique effects and enhancements to existing video projects.
  • Artists and Designers: Explore new creative possibilities with AI-powered video generation.
  • Researchers: Push the boundaries of video synthesis and explore new techniques.

Authors and Contributors:

Lumiere is the result of collaborative work by researchers and engineers at Google Research, Weizmann Institute, Tel-Aviv University and Technion, including:

  • Omer Bar-Tal
  • Hila Chefer
  • Omer Tov
  • Charles Herrmann
  • Roni Paiss
  • Shiran Zada
  • Ariel Ephrat
  • Junhwa Hur
  • Guanghui Liu
  • Amit Raj
  • Yuanzhen Li
  • Michael Rubinstein
  • Tomer Michaeli
  • Oliver Wang
  • Deqing Sun
  • Tali Dekel
  • Inbar Mosseri

Societal Impact:

While Lumiere offers exciting possibilities for creative expression, the developers acknowledge the potential for misuse in creating fake or harmful content. They emphasize the importance of developing and applying tools for detecting biases and malicious use cases to ensure safe and fair use.

Why Choose Lumiere?

Lumiere stands out due to its ability to generate realistic, coherent, and diverse motion in videos. Its unique Space-Time U-Net architecture and integration with pre-trained text-to-image diffusion models enable it to achieve state-of-the-art results across a range of video synthesis tasks. Whether you're looking to create videos from text, stylize existing footage, or explore new forms of visual expression, Lumiere offers a powerful and versatile toolset.

In conclusion, Lumiere is a significant advancement in video generation technology, offering a wide range of capabilities for content creation, video editing, and artistic exploration. Its innovative architecture and commitment to responsible use make it a valuable tool for both creators and researchers alike. With its ability to turn text and images into captivating videos, Lumiere opens up new possibilities for visual storytelling and creative expression.

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