Veo, generative video model, DeepMind Technologies Limited, London, United Kingdom


Google DeepMind's text-to-video model Veo creates 60 second video

May 14, 2024

Veo is Google DeepMind's most capable video generation model to date. It generates high-quality, 1080p resolution videos that can go beyond a minute, in a wide range of cinematic and visual styles.

The model is also able to make video clips and extend them to 60 seconds and beyond. It can do this either from a single prompt, or by being given a sequence of prompts which together tell a story.

This video is unedited raw output from Veo and was created using the following prompts:

- A fast-tracking shot through a bustling dystopian sprawl with bright neon signs, flying cars and mist, night, lens flare, volumetric lighting
- A fast-tracking shot through a futuristic dystopian sprawl with bright neon signs, starships in the sky, night, volumetric lighting
- A neon hologram of a car driving at top speed, speed of light, cinematic, incredible details, volumetric lighting
- The cars leave the tunnel, back into the real world city Hong Kong
 

A Veo compilation

Sep 25, 2024

Veo is our most capable video generation model to date. It generates high-quality, 1080p resolution videos that can go beyond a minute, in a wide range of cinematic and visual styles.You can sign up to try it on: https://labs.google/videofx

Timecodes

00:01 Swimming Jellyfish
00:15 Lama in a field
00:23 Night Cityscape
00:30 Lone rider
00:39 Noir alley
00:49 Mountain dog
00:55 Lake view
01:03 Lost waterfall
01:11 Flying through space
01:19 Swimming Turtle
01:26 Lighthouse cliff
01:35 Crochet Elephant
01:43 Colour explosion
01:51 Blooming Flower
1:59 Northern Lights
02:07 Colorful Lizard
02:14 Film Noir Reading
02:23 Bubble Bath
02:31 Driving through
02:39 City lights
02:46 BBQ
02:54 Hot air balloon
03:03 Paradise Island
03:09 Dancing lamas----All the clips in this video were generated directly with Veo without modifications by Irina Blok, Eleni Shaw, Signe Nørly, Andeep Toor, Gregory Shaw, and RJ Mical.
 
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