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Efficiently manage prompt batch scheduling for AI artists in Book Tools suite.
The BTPromptSchedule node, also known as the "[Book Tools] Prompt Batch Schedule," is designed to facilitate the scheduling and management of prompt batches within the Book Tools suite. This node is particularly useful for AI artists who need to organize and execute multiple prompts in a structured manner. By leveraging this node, you can efficiently manage the sequence and timing of various prompts, ensuring a smooth and coherent workflow. The primary goal of the BTPromptSchedule node is to streamline the process of handling multiple prompts, making it easier to maintain consistency and order in your creative projects.
This parameter specifies the model to be used for scheduling the prompts. It is essential to select the appropriate model that aligns with your project requirements. The model parameter ensures that the scheduling process is tailored to the capabilities and characteristics of the chosen model.
The scheduler parameter determines the scheduling algorithm to be used. It is crucial to select a scheduler that best fits your needs, as different schedulers may have varying impacts on the timing and sequence of prompts. This parameter allows you to customize the scheduling process to achieve the desired results.
The steps parameter defines the number of steps to be taken during the scheduling process. It has a default value of 20, with a minimum of 1 and a maximum of 10000. Adjusting the number of steps can influence the granularity and precision of the scheduling, allowing you to fine-tune the process according to your specific requirements.
The denoise parameter controls the level of noise reduction applied during the scheduling process. It has a default value of 1.0, with a range from 0.0 to 1.0 and a step size of 0.01. Lowering the denoise value can help in achieving smoother transitions between prompts, while higher values may retain more detail and complexity.
The SIGMAS output parameter represents the calculated sigma values used in the scheduling process. These values are crucial for determining the timing and sequence of prompts, ensuring that the scheduling is executed accurately and effectively. The SIGMAS output provides insight into the internal workings of the scheduling algorithm, allowing you to understand and adjust the process as needed.
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