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Transform single image into video by generating frames, useful for AI artists, control duration and smoothness, efficient memory usage.
The DD-ImageToVideo node is designed to transform a single image into a video by generating multiple frames from the image and compiling them into a video format. This node is particularly useful for AI artists who want to create dynamic visual content from static images. By specifying parameters such as duration, frame rate, and batch size, you can control the length and smoothness of the resulting video. The node processes the image in batches, which helps manage memory usage efficiently, making it suitable for creating videos of varying lengths and resolutions. The primary goal of this node is to provide a straightforward method for converting images into videos, allowing for creative exploration and experimentation with visual media.
This parameter represents the input image that will be converted into a video. It should be provided in a format compatible with the node, such as a tensor. The image serves as the base frame from which all video frames will be generated.
The duration parameter specifies the total length of the video in seconds. It determines how long the video will play from start to finish. The minimum value is 0.1 seconds, the maximum is 300.0 seconds, and the default is 5.0 seconds. Adjusting this parameter allows you to create videos of different lengths based on your creative needs.
The frame rate parameter defines the number of frames per second (FPS) in the video. It affects the smoothness and fluidity of the video playback. The minimum frame rate is 1.0 FPS, the maximum is 120.0 FPS, and the default is 30.0 FPS. A higher frame rate results in smoother motion, while a lower frame rate can create a more choppy effect.
This parameter controls the number of frames processed in each batch during video generation. It impacts memory usage and processing efficiency. The minimum batch size is 1, the maximum is 120, and the default is 30. Smaller batch sizes reduce memory consumption but may increase processing time, while larger batch sizes can speed up processing at the cost of higher memory usage.
This output consists of the generated video frames, which are compiled from the input image. These frames form the visual content of the video and are crucial for playback.
The total number of frames generated for the video. This value is calculated based on the specified duration and frame rate, and it indicates the overall size of the video in terms of frames.
The actual duration of the video in seconds, which may slightly differ from the specified duration due to rounding of frame numbers. It provides an accurate measure of how long the video will play.
The frame rate of the generated video, which is returned as a float. It confirms the number of frames per second in the final video, ensuring that the output matches the specified frame rate.
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