#AI #Stable Diffusion
Hello, this is Dr. Ho Hae-ti.
Today, we will learn about SVD among stable diffusion videos.
Stable Diffusion
What is SVD?
Stable Video Diffusion (SVD, Stable Diffusion for Video Generation) is a foundational video model released by Stability AI. Like Stable Diffusion, it is an open source model with code and model weights released.
It is also an abbreviation for Stable Video Diffusion, right?
SVD is an image-to-video (img2vid) model. In other words, if you provide one image (frame 1), the model generates a short video clip. Below is the input image.
Main content
Similar to the existing Stable Video Diffusion model, you can think of this model as being used like fuel for an engine.
SVD Size
SVD - A model trained to generate 14 frames at 756 x 1024 resolution
SVD TX - A model trained to generate 25 frames at 756 x 1024 resolution
It is classified as.
id(Motion bucket id)
Indicates how much the image will move in numbers. The numbers can be expressed as a number from 0 to 255.
FPS
Sounds familiar? It's similar to FPS in games.
Frames per second (fps) controls the number of frames the model will generate. It is recommended to input around 5 to 30 for optimal performance.
Augmentation level
The augmentation level is the amount of noise added to the initial image. It is used when the initial image is changed more or a video is generated that deviates from the default size.
Next, we will learn how to use it in the webUI.
https://www.litenews.shop/2024/08/stable-diffusion-video-comfy.html
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