A beginner's guide to the Seine model by Lucataco on Replicate

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This is a simplified guide to an AI model called Seine maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

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.