Last Updated on January 26, 2024
The search giant has unveiled its newest AI model and its really good. Google Lumiere is a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion. In some respects, its better than Runway and Pika Labs AI video! Heres how to use Google Lumiere.
There is no way to access or download Lumiere at this time. We predict that Lumiere will enhance the multimodal capabilities of Google Bard in the near future. Get ready to use it at release by following these steps:
To use Google Lumiere, youll need access to Google Bard. Visit the chatbot website here.
There has been no official acknowledgement that the video model has been integrated yet. However, its fair to predict that Bard will be the place to use it in the near future.
Google Workspace accounts will need admin access to use Google Bard.
If Google Lumiere becomes open-source, we will explain how to download and install it here.
Google Lumiere is a new video diffusion model. It generates coherent, high-quality videos using simple text prompts and is great for stylization. Its also multimodal, with text-to-video and image-to-video modalities. You can also use it to produce cinemagraphs and for video inpainting!
Lumiere achieves better temporal consistency than other models due to a Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a single pass in the model. This is in contrast to existing video models which synthesize distant keyframes followed by temporal super-resolution.
This new AI model represents a summation of previously released Google AI tools.
Style Drop, introduced on Dember 15th, 2023, is Googles own text-to-image generator. Its USP is that it uses one or more style reference images that describe the style for text-to-image generation. By doing so, StyleDrop enables the generation of images in a style consistent with the reference, while effectively circumventing the burden of text prompt engineering. As a result, StyleDrop already features the computer vision research that went into Google Lumiere.
Video Poet was the predecessor to Google Lumiere, in that its a large language model for zero-shot video generation. The main difference is the quality. Impressively, Video Poet was already multimodal able to produce audio from video inputs. This is one of the least common avenues of multimodality (the most common being speech-to-text). In fact, this autoregressive language model learns across video, image, audio, and text modalities.
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Google scientists published a research paper introducing Lumiere on January 23rd, 2024. The paper, titled Lumiere: A Space-Time Diffusion Model for Video Generation is filed under Computer Vision and Pattern Recognition a nod to the multimodality of the model. Its not just text models that can be multimodal! A multimodal AI video model could accept inputs of text, images, audio samples, or even other videos (perhaps a combination of two or more) to inform the generated video. As no AI chatbot currently offers much (or anything) in terms of AI video generation, Lumiere could make Google Bard the most multimodal AI assistant of 2024.
The researchers who authored the paper include Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, and Inbar Mosseri.
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