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Generate tracking data for InstanceDiffusion, enhancing image generation with structured object tracking information.
The CreateInstanceDiffusionTracking
node is designed to generate tracking data for use with InstanceDiffusion, a tool that enhances image generation by incorporating object tracking information. This node allows you to define specific regions within an image, assign class names and IDs to these regions, and create prompts that guide the diffusion process. By leveraging this tracking data, you can achieve more precise and controlled image generation, making it particularly useful for tasks that require detailed object placement and manipulation. The node's primary goal is to facilitate the creation of structured tracking data that can be seamlessly integrated with InstanceDiffusion, thereby improving the quality and specificity of the generated images.
The coordinates
parameter is a string that specifies the coordinates of the regions to be tracked within the image. This input is crucial as it defines the exact areas that will be influenced by the diffusion process. The format and structure of the coordinates should be precise to ensure accurate tracking.
The width
parameter sets the width of the image in pixels. It accepts integer values ranging from 16 to 4096, with a default value of 512. This parameter determines the horizontal dimension of the image and impacts the overall resolution and detail of the generated output.
The height
parameter sets the height of the image in pixels. Similar to the width parameter, it accepts integer values ranging from 16 to 4096, with a default value of 512. This parameter determines the vertical dimension of the image and affects the resolution and detail of the generated output.
The bbox_width
parameter defines the width of the bounding box for the tracked region in pixels. It accepts integer values ranging from 16 to 4096, with a default value of 512. This parameter is essential for specifying the size of the tracked area within the image.
The bbox_height
parameter defines the height of the bounding box for the tracked region in pixels. It accepts integer values ranging from 16 to 4096, with a default value of 512. This parameter is crucial for specifying the size of the tracked area within the image.
The class_name
parameter is a string that assigns a name to the tracked region. This name is used to identify and differentiate between various tracked objects within the image. The default value is "class_name".
The class_id
parameter assigns an integer ID to the tracked region. It accepts values ranging from 0 to 255, with a default value of 0. This ID is used to uniquely identify the tracked object and is essential for the InstanceDiffusion process.
The prompt
parameter is a multiline string that provides a textual description or prompt for the tracked region. This prompt guides the diffusion process by specifying the desired characteristics or features of the tracked object. The default value is "prompt".
The size_multiplier
parameter is a float that scales the size of the tracked region. The default value is 1.0. This parameter allows you to adjust the size of the tracked area relative to its original dimensions.
The fit_in_frame
parameter is a boolean that determines whether the tracked region should be adjusted to fit within the image frame. The default value is True. This parameter ensures that the tracked area remains within the boundaries of the image, preventing any part of it from being cut off.
The tracking
output parameter provides the generated tracking data, which includes the coordinates, class names, class IDs, and prompts for the tracked regions. This data is essential for guiding the InstanceDiffusion process and achieving precise image generation.
The prompt
output parameter returns the combined prompt string that includes the descriptions for all tracked regions. This prompt is used to guide the diffusion process and ensure that the generated image aligns with the specified characteristics and features.
The width
output parameter returns the width of the image in pixels. This value is essential for understanding the dimensions of the generated image.
The height
output parameter returns the height of the image in pixels. This value is crucial for understanding the dimensions of the generated image.
The bbox_width
output parameter returns the width of the bounding box for the tracked region in pixels. This value is important for understanding the size of the tracked area.
The bbox_height
output parameter returns the height of the bounding box for the tracked region in pixels. This value is important for understanding the size of the tracked area.
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