ComfyUI Node: Urandom Seed Generator

Urandom Seed Generator:

The LF_UrandomSeedGenerator node is designed to generate a set of random seeds using the urandom function, which is a secure and reliable method for generating random numbers. This node is particularly useful when you need a series of unique seeds for various operations, ensuring that each seed is unpredictable and not easily reproducible. The primary benefit of using this node is its ability to fill in any missing seeds from a predefined list, ensuring that you always have a complete set of 20 seeds. This is achieved by checking for existing seeds and generating new ones only when necessary, thus optimizing the process and maintaining consistency. The node also provides a JSON output that includes the generated seeds and the execution time, making it easy to track and utilize the seeds in subsequent operations.

Urandom Seed Generator Input Parameters:

fixed_seeds

This parameter allows you to provide a predefined list of seeds. If you have specific seeds that you want to use, you can input them here. The node will check this list and use the provided seeds, filling in any missing ones with randomly generated seeds. This ensures that you have a complete set of 20 seeds. The input should be in JSON format, where each seed is identified by an ID (e.g., "seed1", "seed2", etc.) and a value. If the JSON input is invalid, the node will generate all seeds randomly. This parameter does not have a minimum or maximum value but should be structured correctly to be parsed.

enable_history

This boolean parameter determines whether the history of generated seeds should be enabled. When set to true, the node will keep a record of the generated seeds, which can be useful for tracking and debugging purposes. The default value is false.

regen_each_run

This boolean parameter specifies whether the seeds should be regenerated each time the node is executed. If set to true, the node will generate a new set of seeds on each run, ensuring that the seeds are always fresh and unique. The default value is false.

Urandom Seed Generator Output Parameters:

json_dataset

This output parameter provides a JSON object that includes the generated seeds and the execution time. The JSON object is structured with nodes and children, where each child represents a seed with an ID and a value. This output is useful for tracking the generated seeds and can be easily integrated into other processes or stored for future reference.

seed1, seed2, ..., seed20

These output parameters represent the individual seeds generated by the node. Each seed is an integer value that can be used in various operations requiring randomization. The seeds are generated using the urandom function, ensuring that they are secure and unpredictable. These seeds can be used directly in your workflows or stored for future use.

Urandom Seed Generator Usage Tips:

• To ensure consistency in your workflows, provide a predefined list of seeds using the fixed_seeds parameter. This allows you to control which seeds are used while still benefiting from the node's ability to fill in any missing ones.
• Enable the enable_history parameter if you need to keep track of the generated seeds for debugging or auditing purposes. This can be particularly useful in complex workflows where seed tracking is essential.
• Use the regen_each_run parameter to generate fresh seeds on each execution. This is useful in scenarios where you need unique seeds for each run to ensure variability and avoid repetition.

Urandom Seed Generator Common Errors and Solutions:

Invalid JSON input. Generating all random seeds.

• Explanation: This error occurs when the JSON input provided in the fixed_seeds parameter is not valid or cannot be parsed correctly.
• Solution: Ensure that the JSON input is correctly formatted and includes valid seed IDs and values. Double-check for any syntax errors or missing elements in the JSON structure.

Missing seeds in the output

• Explanation: This issue arises when some seeds are not provided in the fixed_seeds parameter, and the node fails to generate new ones.
• Solution: Verify that the fixed_seeds parameter includes all necessary seeds. If some seeds are missing, the node should automatically generate them. If this does not happen, ensure that the node is correctly configured and that there are no issues with the urandom function.

Execution time not recorded

• Explanation: This error occurs when the execution time is not included in the JSON output.
• Solution: Check the node's configuration to ensure that the execution time is being recorded correctly. If the issue persists, consider adding a manual timestamp to the JSON output as a workaround.