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Facilitates batch processing of frames for efficiency and consistency in creating and manipulating frames.
The FrameMakerBatch
node is designed to facilitate the batch processing of frames, particularly useful in scenarios where you need to handle multiple images or frames in a sequence. This node is part of the ComfyUI framework, specifically under the diSty/FrameMaker
category, and is tailored to streamline the creation and manipulation of frames for various artistic and technical purposes. By leveraging the process_frames
method, it allows you to efficiently manage and transform a series of frames, applying consistent operations across them. This can be particularly beneficial for tasks such as animation, video processing, or any application where uniformity across multiple frames is crucial. The node's primary goal is to enhance productivity by automating repetitive tasks, ensuring that each frame is processed with the same parameters and settings, thus maintaining consistency and quality throughout the batch.
The frames
parameter represents the collection of images or frames that you wish to process. It is crucial as it serves as the primary input for the node, determining the scope of the batch operation. The frames can vary in number and content, depending on your specific project needs.
The subject_image
parameter is used to specify the main image or subject that will be applied or manipulated across the frames. This image acts as a reference or focal point for the batch processing, ensuring that the desired subject is consistently integrated into each frame.
The frame_count
parameter indicates the total number of frames to be processed. It is essential for defining the batch size and ensuring that the node processes the correct number of frames. This parameter helps in managing the workload and ensuring that all frames are accounted for during processing.
The invert_alpha
parameter is a boolean setting that determines whether the alpha channel of the images should be inverted. This can be useful for specific visual effects or when the transparency needs to be adjusted for the desired outcome.
The movement_presets
parameter allows you to select predefined movement patterns or animations to be applied to the frames. This can simplify the process of adding motion or dynamic effects, as you can choose from a set of standard presets that suit your artistic vision.
The movement_presets_distance
parameter defines the distance over which the selected movement preset will be applied. It controls the extent of the movement effect, allowing you to fine-tune how far the subject or elements within the frames will move.
The movement_direction
parameter specifies the direction in which the movement preset will be applied. This can be crucial for achieving the desired visual effect, as it determines the trajectory of the movement within the frames.
The x_pos_start
parameter sets the initial horizontal position for the subject or elements within the frames. It is used to define the starting point of any horizontal movement or positioning adjustments.
The x_pos_end
parameter sets the final horizontal position for the subject or elements within the frames. It is used to define the endpoint of any horizontal movement or positioning adjustments, allowing for smooth transitions.
The y_pos_start
parameter sets the initial vertical position for the subject or elements within the frames. It is used to define the starting point of any vertical movement or positioning adjustments.
The y_pos_end
parameter sets the final vertical position for the subject or elements within the frames. It is used to define the endpoint of any vertical movement or positioning adjustments, ensuring smooth transitions.
The scale_start
parameter defines the initial scale of the subject or elements within the frames. It is used to set the starting size, allowing for scaling effects to be applied consistently across the batch.
The scale_end
parameter defines the final scale of the subject or elements within the frames. It is used to set the ending size, enabling smooth scaling transitions throughout the batch.
The scale_anchor_point
parameter specifies the anchor point for scaling operations. This determines the point around which scaling transformations will occur, affecting how the subject or elements are resized.
The subject_alpha
parameter is an optional setting that allows you to specify the alpha channel for the subject image. This can be used to adjust transparency levels, enhancing the visual integration of the subject within the frames.
The width
parameter sets the width of the frames to be processed. It is crucial for ensuring that all frames are resized or adjusted to the desired width, maintaining consistency across the batch.
The height
parameter sets the height of the frames to be processed. It ensures that all frames are resized or adjusted to the desired height, maintaining consistency across the batch.
The resize_frame_input
parameter is a boolean setting that determines whether the input frames should be resized before processing. This can be useful for standardizing frame dimensions or optimizing performance.
The frame_input_width
parameter specifies the width to which input frames should be resized, if resize_frame_input
is enabled. It ensures that all input frames are adjusted to a consistent width.
The frame_input_height
parameter specifies the height to which input frames should be resized, if resize_frame_input
is enabled. It ensures that all input frames are adjusted to a consistent height.
The resize_frame_output
parameter is a boolean setting that determines whether the output frames should be resized after processing. This can be useful for finalizing frame dimensions or optimizing output quality.
The frame_output_width
parameter specifies the width to which output frames should be resized, if resize_frame_output
is enabled. It ensures that all output frames are adjusted to a consistent width.
The frame_output_height
parameter specifies the height to which output frames should be resized, if resize_frame_output
is enabled. It ensures that all output frames are adjusted to a consistent height.
The invert_order
parameter is a boolean setting that determines whether the order of frame processing should be inverted. This can be useful for reversing the sequence of frames or achieving specific visual effects.
The frames
output parameter provides the processed collection of images or frames. This output is the result of the batch processing, reflecting all the transformations and adjustments applied during the operation. It is essential for further use in animation, video production, or any application requiring a sequence of processed frames.
The subject_image
output parameter returns the main image or subject that was applied or manipulated across the frames. This output confirms the successful integration of the subject within the processed frames, ensuring consistency and quality.
The width
output parameter indicates the final width of the processed frames. It confirms that all frames have been resized or adjusted to the desired width, maintaining uniformity across the batch.
The height
output parameter indicates the final height of the processed frames. It confirms that all frames have been resized or adjusted to the desired height, ensuring uniformity across the batch.
The frame_count
output parameter provides the total number of frames that were successfully processed. This output is crucial for verifying that the entire batch was handled correctly and that no frames were omitted.
frame_count
parameter matches the number of frames you intend to process to avoid incomplete batch operations.movement_presets
and movement_direction
parameters to add dynamic effects to your frames, enhancing the visual appeal of animations or sequences.scale_start
and scale_end
parameters to create smooth scaling transitions, which can add depth and interest to your frames.resize_frame_input
and resize_frame_output
parameters to standardize frame dimensions, optimizing both input and output for consistency and quality.frame_count
does not match the actual number of frames provided.frame_count
parameter accurately reflects the number of frames you are processing to ensure complete batch operations.movement_presets
value is not recognized or supported.resize_frame_input
and resize_frame_output
parameters to standardize frame dimensions, ensuring uniformity across the batch.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.