MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text

TL;DR

MobileVidFactory is a system that automatically generates high-quality vertical videos for mobile devices from simple text inputs, integrating diffusion models, audio retrieval, and customizable text features.

Contribution

It introduces a novel diffusion-based approach for mobile video generation from text, combining pretrained models with customization options.

Findings

Produces high-quality mobile videos from text

Integrates audio matching from a large database

Supports customizable text and voice features

Abstract

Videos for mobile devices become the most popular access to share and acquire information recently. For the convenience of users' creation, in this paper, we present a system, namely MobileVidFactory, to automatically generate vertical mobile videos where users only need to give simple texts mainly. Our system consists of two parts: basic and customized generation. In the basic generation, we take advantage of the pretrained image diffusion model, and adapt it to a high-quality open-domain vertical video generator for mobile devices. As for the audio, by retrieving from our big database, our system matches a suitable background sound for the video. Additionally to produce customized content, our system allows users to add specified screen texts to the video for enriching visual expression, and specify texts for automatic reading with optional voices as they like.