This is a simplified guide to an AI model called Seine-Transition maintained by Leclem. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
seine-transition is a video diffusion model developed by researcher leclem. It is part of the larger Vchitect video generation system, which also includes the text-to-video framework LaVie. The model is capable of generating a video that transitions smoothly from one image to another, creating a seamless visual effect.
Compared to similar models like i2vgen-xl and video-morpher, seine-transition focuses specifically on generating transition videos, rather than general image-to-video or video morphing capabilities. This specialized approach allows the model to produce high-quality transition effects that preserve the content and style of the input images.
Model inputs and outputs
The seine-transition model takes two input images and generates a video that transitions between them. The input images can depict any subject matter, and the model will attempt to create a smooth, realistic transition that blends the elements of the two images.
Inputs
- Image: The first input image that the video will start with
- Image2: The second input image that the video will transition to
- Width: The desired width of the output video
- Height: The desired height of the output video
- Num Frames: The number of frames in the output video
- Run Time: The total duration of the output video in seconds
- Cfg Scale: The scale for classifier-free guidance, which affects the balance between content and style
- Num Sampling Steps: The number of steps used in the diffusion sampling process
Outputs
- Output: A video file that transitions smoothly from the first input image to the second input image, with the specified dimensions, frame rate, and duration.
Capabilities
The seine-transition model can gener...
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