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Soon after announcing the Gemini, its latest large language model, Google has introduced Lumiere, its new AI-powered tool that uses generative AI to generate videos from simple text prompts.
Lumiere is a new text-to-video diffusion model that’s designed to generate videos from text in a realistic, diverse and coherent motion. The new video language model relies on Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a single pass in the model.
With Lumiere, Google has used both spatial and temporal down and up sampling and it leverages a pre-trained text-to-image difussion model. Google says that their new model learns to directly generate a full-frame-rate, low-resolution video by processing it in multiple space-time scales.
Google has also shared some samples and types of videos Lumiere AI can generate:
Text-to-Video: Lumiere excels at generating videos based on descriptive text prompts, effectively bringing textual scenes to life with realistic motion.
Image-to-Video: Utilizing a single reference image and a specified text prompt, Lumiere generates videos that animate a designated region, enabling dynamic content creation from static visuals.
Video Inpainting: Lumiere seamlessly fills in missing or corrupted parts of input videos, ensuring a smooth and uninterrupted viewing experience.
Stylized Generation: This feature allows users to apply distinct styles or themes to input images or videos, fostering creativity and enabling a personalized visual aesthetic.
Video Stylization: Lumiere integrates off-the-shelf text-based image editing methods for consistent and coherent video editing, ensuring a harmonious visual narrative.
Cinemagraphs: Lumiere’s innovative model animates specific user-defined regions within an image, creating captivating cinemagraphs that blend static and dynamic elements seamlessly.
Video Inpainting (Reiteration): The tool excels in filling missing or damaged regions in a video sequence, maintaining visual integrity and enhancing the overall quality of the content.
Lumiere is a new text-to-video diffusion model that’s designed to generate videos from text in a realistic, diverse and coherent motion. The new video language model relies on Space-Time U-Net architecture that generates the entire temporal duration of the video at once, through a single pass in the model.
With Lumiere, Google has used both spatial and temporal down and up sampling and it leverages a pre-trained text-to-image difussion model. Google says that their new model learns to directly generate a full-frame-rate, low-resolution video by processing it in multiple space-time scales.
Google has also shared some samples and types of videos Lumiere AI can generate:
Text-to-Video: Lumiere excels at generating videos based on descriptive text prompts, effectively bringing textual scenes to life with realistic motion.
Image-to-Video: Utilizing a single reference image and a specified text prompt, Lumiere generates videos that animate a designated region, enabling dynamic content creation from static visuals.
Video Inpainting: Lumiere seamlessly fills in missing or corrupted parts of input videos, ensuring a smooth and uninterrupted viewing experience.
Stylized Generation: This feature allows users to apply distinct styles or themes to input images or videos, fostering creativity and enabling a personalized visual aesthetic.
Video Stylization: Lumiere integrates off-the-shelf text-based image editing methods for consistent and coherent video editing, ensuring a harmonious visual narrative.
Cinemagraphs: Lumiere’s innovative model animates specific user-defined regions within an image, creating captivating cinemagraphs that blend static and dynamic elements seamlessly.
Video Inpainting (Reiteration): The tool excels in filling missing or damaged regions in a video sequence, maintaining visual integrity and enhancing the overall quality of the content.
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