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Facilitates depth-based prompts using image-text pairs, organizing and filtering data for AI artists.
The ZenkaiDepthPrompt node is designed to facilitate the generation of depth-based prompts by managing and utilizing image-text pairs stored in a specified directory. This node is particularly useful for AI artists who wish to create or manipulate images based on depth information, as it allows for the organization and filtering of image-text pairs according to specific criteria. The node automatically creates necessary directories and handles the absence of valid data gracefully by providing default outputs. Its primary function is to ensure that only relevant image-text pairs are used, which can be filtered further using a whitelist of terms. This capability is essential for artists looking to streamline their workflow and focus on specific themes or concepts in their creative projects.
The prompt_folder
parameter specifies the directory where the image-text pairs are stored. It is crucial for the node's operation as it determines the source of the data to be processed. The node will create this folder if it does not exist, ensuring that the environment is set up correctly for subsequent operations. There are no specific minimum or maximum values for this parameter, but it should be a valid directory path.
The seed
parameter is used to ensure that the node's operations are consistent and reproducible. By changing the seed, you can influence the randomness of the node's processes, which can be useful for generating varied outputs. The seed should be a floating-point number, and while there are no strict minimum or maximum values, it should be chosen to suit the desired level of variability in the results.
The mode
parameter defines the operational mode of the node, which can affect how the image-text pairs are processed. While specific modes are not detailed in the context, this parameter typically allows users to switch between different processing strategies or algorithms, providing flexibility in how the node is utilized.
The num_images
parameter determines the number of images to be processed or generated by the node. This parameter directly impacts the node's output, as it controls the volume of data being handled. There are no explicit minimum or maximum values provided, but it should be set according to the user's requirements and the available resources.
The whitelist
parameter is a string that contains terms used to filter the image-text pairs. Only pairs that contain these terms in their text component will be considered valid. This parameter is essential for narrowing down the dataset to only those pairs that match specific themes or concepts, enhancing the relevance of the node's output. The whitelist can be empty, in which case no filtering is applied.
The image_tensor
output is a tensor representation of the images processed by the node. This output is crucial for further processing or analysis, as it provides a structured and efficient way to handle image data. If no valid image-text pairs are found, a default tensor of zeros is returned, ensuring that the node's output is always well-defined.
The status_message
output provides feedback on the node's operation, indicating whether valid image-text pairs were found and processed. This message is important for understanding the node's behavior and diagnosing any issues that may arise during its execution. It can convey success, the absence of data, or filtering results based on the whitelist.
prompt_folder
is correctly specified and contains the desired image-text pairs to maximize the node's effectiveness.whitelist
parameter to focus on specific themes or concepts, which can help streamline your creative process and produce more relevant outputs.seed
values to explore a variety of outputs and find the most suitable results for your project.prompt_folder
does not contain any images.prompt_folder
path is correct and that it contains the necessary image files.whitelist
.whitelist
terms for accuracy and ensure they are relevant to the text components of the image-text pairs. Adjust the terms as needed to match the desired content.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.