ComfyUI Node: Seed Shifter

Seed Shifter:

The Seed Shifter node is designed to facilitate the generation of a series of reproducible seeds for image creation, particularly useful in batch processing scenarios. By allowing you to adjust the initial seed and apply a shift, this node ensures that each image in a batch has a unique seed while maintaining a predictable sequence. This capability is crucial for artists who wish to explore variations of an image while keeping the process consistent and reproducible. The Seed Shifter is a simple yet powerful tool that enhances creative workflows by providing control over the randomness inherent in seed-based image generation.

Seed Shifter Input Parameters:

seed_

The seed_ parameter serves as the starting point for generating a sequence of seeds. It is an integer value that determines the initial state of the random number generator, which in turn affects the noise pattern used in image generation. The default value is 0, with a minimum of 0 and a maximum of 18,446,744,073,709,551,615. Adjusting this parameter allows you to explore different starting points for your image variations.

seed_shifter

The seed_shifter parameter is an integer that specifies the amount by which the initial seed is shifted for each subsequent image in the batch. This shift ensures that each image has a unique seed, thus producing different variations. The default value is 0, with a minimum of 0. By modifying this parameter, you can control the degree of variation between images in the batch.

batch

The batch parameter defines the number of seeds to generate, corresponding to the number of images you wish to create. It is an integer with a default value of 1 and a minimum of 1. This parameter is essential for batch processing, as it determines the size of the image set you will produce.

Seed Shifter Output Parameters:

seeds

The seeds output is a list of integer values, each representing a unique seed for image generation. This list is generated by applying the seed_shifter to the initial seed_ for each image in the batch. The output seeds are crucial for ensuring that each image in the batch is generated with a distinct noise pattern, allowing for a diverse set of variations.

Seed Shifter Usage Tips:

• To explore a wide range of image variations, experiment with different seed_ values while keeping the seed_shifter constant. This approach allows you to maintain a consistent degree of variation across different starting points.
• For subtle variations within a batch, use a small seed_shifter value. This setting is ideal for creating a series of images with minor differences, which can be useful for fine-tuning artistic details.

Seed Shifter Common Errors and Solutions:

Invalid seed_ value

• Explanation: The seed_ value provided is outside the acceptable range.
• Solution: Ensure that the seed_ value is between 0 and 18,446,744,073,709,551,615.

Invalid seed_shifter value

• Explanation: The seed_shifter value is negative, which is not allowed.
• Solution: Adjust the seed_shifter value to be 0 or greater.

Invalid batch size

• Explanation: The batch parameter is set to a value less than 1.
• Solution: Set the batch parameter to a value of 1 or higher to generate at least one seed.