seine

Maintainer: lucataco

Total Score

39

Last updated 6/13/2024
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Model overview

SEINE is a short-to-long video diffusion model developed by Vchitect and maintained by lucataco. It is designed for generative transition and prediction, allowing users to create video content from a single input image. SEINE can be compared to similar models like MagicAnimate, which focuses on human image animation, and i2vgen-xl, a high-quality image-to-video synthesis model.

Model inputs and outputs

SEINE takes in an input image and generates a short video clip. The model's inputs include the image, seed, width, height, run time, cfg scale, number of frames, and number of sampling steps. The output is a video file that can be used for various creative and practical applications.

Inputs

  • Image: The input image used to generate the video.
  • Seed: A random seed value that can be used to control the output.
  • Width: The desired width of the output video.
  • Height: The desired height of the output video.
  • Run Time: The duration of the generated video in seconds.
  • Cfg Scale: The scale for classifier-free guidance, which affects the level of control over the output.
  • Num Frames: The number of frames in the output video.
  • Num Sampling Steps: The number of sampling steps used in the diffusion process.

Outputs

  • Video: The generated short video clip based on the input image and other parameters.

Capabilities

SEINE can be used to create a wide range of video content from a single input image. The model is capable of generating smooth transitions and realistic movements, making it a powerful tool for creating animated content, visual effects, and more. By leveraging diffusion models, SEINE is able to capture the temporal and spatial relationships in the input image to generate high-quality video output.

What can I use it for?

SEINE can be used for a variety of creative and practical applications, such as:

  • Generating animated videos for social media, marketing, or entertainment
  • Creating visual effects and transitions for videos
  • Exploring creative ideas and experimenting with different input parameters
  • Supplementing limited video footage with generated content

The model's versatility and ability to produce high-quality video output make it a valuable tool for content creators, video editors, and anyone interested in exploring the possibilities of AI-generated video.

Things to try

One interesting aspect of SEINE is its ability to generate videos with a wide range of styles and moods based on the input image. Try experimenting with different types of images, from landscapes to abstract art, and see how the model interprets and animates them. You can also play with the various input parameters, such as the run time and number of frames, to see how they affect the output and create different types of video content.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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