StoryMem

StoryMem is a generative model for multi-shot long video narratives. Through the video diffusion model of memory conditions, it can generate minute-long videos that are coherent and have cinematic visual quality based on story scripts. It is suitable for creators and developers, providing a new efficient and creative way in video production, helping users generate story videos in a short time. This tool is positioned to improve the productivity of video content creation and is suitable for various styles of storytelling needs.

Demand group:

"This product is suitable for video creators, animators and content developers, and can help them quickly generate high-quality narrative videos, especially when creating short videos or online content, saving a lot of production time."

Example of usage scenario:

Creators use StoryMem to generate short animations for sharing on social media.

Educational institutions use this tool to create vivid teaching videos to enhance students' interest in learning.

Advertising companies use StoryMem to quickly create product promotional videos for promotion on different platforms.

Product features:

Generate high-quality videos based on story scripts

Multi-shot generation with memory conditions supported

Provides a variety of video generation model interfaces

Image to video and text to video conversion capabilities

Support custom story script format

Highly scalable and suitable for different types of stories

Simple and easy to use command line interface

Usage tutorial:

Clone the repository and install dependencies: git clone ...

Download the required model: Use huggingface-cli to download the relevant model.

Prepare a story script JSON file and fill in the story content according to the format.

Run the build script, specifying the necessary parameters such as story path and output directory.

View the resulting video, post-process and share it.