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Apply optical flow transformations for smooth motion effects between frames using advanced algorithms for dynamic animations.
The DeforumApplyFlowNode is designed to apply optical flow transformations to images, enabling the creation of smooth transitions and motion effects between frames. This node leverages advanced optical flow algorithms to calculate the movement between consecutive images and applies these transformations to generate a new image that reflects the detected motion. This is particularly useful for AI artists looking to create dynamic and fluid animations or enhance the visual continuity in their projects. By utilizing different flow methods and adjusting the flow factor, you can achieve a variety of motion effects, from subtle shifts to more pronounced movements, enhancing the overall visual appeal of your work.
This parameter represents the primary image to which the optical flow will be applied. It is a required input and serves as the base for the transformation. The image should be in a compatible format that the node can process.
The flow_image parameter is an optional input that provides an additional image to calculate the optical flow. If provided, the flow will be computed between this image and the primary image. If not provided, the node will use the primary image for flow calculations. This allows for more flexibility in creating motion effects.
This parameter specifies the method used to calculate the optical flow between images. The available options are RAFT
, DIS Medium
, DIS Fine
, and Farneback
. Each method has its own characteristics and computational requirements, allowing you to choose the one that best fits your needs. For example, RAFT
is known for its accuracy, while DIS
methods offer different levels of speed and precision.
The flow_factor parameter controls the intensity of the applied optical flow. It is a float value ranging from 0 to 1.0, with a default value of 0.8. A higher flow factor results in more pronounced motion effects, while a lower factor produces subtler changes. Adjusting this parameter allows you to fine-tune the visual impact of the transformation.
This optional parameter allows you to pass additional frame data to the node. It can be used to reset the image cache or provide other frame-specific information that might influence the flow application. This is useful for more advanced use cases where frame-by-frame control is needed.
The output of the DeforumApplyFlowNode is an image that has been transformed based on the calculated optical flow. This image reflects the motion detected between the input images, creating a smooth transition effect. The output is in the same format as the input image, making it easy to integrate into your workflow.
RAFT
is generally more accurate but computationally intensive, while DIS
methods offer a good balance between speed and quality.© Copyright 2024 RunComfy. All Rights Reserved.