ComfyUI Node: Asymmetric Tiled KSampler

Asymmetric Tiled KSampler:

The Asymmetric Tiled KSampler is a specialized node designed to enhance the sampling process by applying asymmetric tiling to the model's convolutional layers. This node allows you to independently control the tiling behavior along the X and Y axes, enabling more flexible and creative image generation. By leveraging asymmetric tiling, you can achieve unique patterns and effects that are not possible with standard tiling methods. This node is particularly useful for AI artists looking to experiment with different tiling configurations to produce distinctive and high-quality images.

Asymmetric Tiled KSampler Input Parameters:

model

This parameter specifies the model to be used for sampling. It is a required input and ensures that the node has the necessary architecture to perform the sampling process.

seed

The seed parameter is an integer that initializes the random number generator, ensuring reproducibility of the results. The default value is 0, with a minimum of 0 and a maximum of 0xffffffffffffffff. Changing the seed will produce different variations of the generated image.

tileX

This integer parameter controls whether tiling is applied along the X-axis. A value of 1 enables tiling, while 0 disables it. The default value is 1, allowing you to create horizontally tiled patterns.

tileY

This integer parameter controls whether tiling is applied along the Y-axis. Similar to tileX, a value of 1 enables tiling, and 0 disables it. The default value is 1, enabling vertically tiled patterns.

steps

The steps parameter defines the number of sampling steps to be performed. It is an integer with a default value of 20, a minimum of 1, and a maximum of 10000. Increasing the number of steps can improve the quality of the generated image but will also increase the computation time.

cfg

This float parameter, known as the classifier-free guidance scale, influences the trade-off between image fidelity and diversity. The default value is 8.0, with a range from 0.0 to 100.0. Higher values will make the generated image more closely follow the conditioning inputs.

sampler_name

This parameter specifies the name of the sampler to be used. It is selected from the available samplers in comfy.samplers.KSampler.SAMPLERS. The choice of sampler can affect the style and quality of the generated image.

scheduler

This parameter determines the scheduler to be used during the sampling process. It is selected from the available schedulers in comfy.samplers.KSampler.SCHEDULERS. The scheduler controls the progression of the sampling steps.

positive

This conditioning input provides positive guidance to the model, helping to steer the generated image towards desired features or styles.

negative

This conditioning input provides negative guidance to the model, helping to steer the generated image away from undesired features or styles.

latent_image

This parameter represents the latent image to be used as the starting point for the sampling process. It is a required input that influences the initial state of the generated image.

denoise

The denoise parameter is a float that controls the amount of noise to be added during the sampling process. The default value is 1.0, with a range from 0.0 to 1.0 and a step size of 0.01. Lower values will result in less noisy and more refined images.

Asymmetric Tiled KSampler Output Parameters:

LATENT

The output of the Asymmetric Tiled KSampler is a latent representation of the generated image. This latent output can be further processed or decoded to obtain the final image. It encapsulates the unique patterns and effects achieved through asymmetric tiling.

Asymmetric Tiled KSampler Usage Tips:

• Experiment with different combinations of tileX and tileY to discover unique tiling patterns and effects.
• Adjust the seed parameter to explore various image variations and find the most appealing results.
• Increase the steps parameter for higher quality images, but be mindful of the increased computation time.
• Use the cfg parameter to balance between image fidelity and diversity, depending on your artistic goals.

Asymmetric Tiled KSampler Common Errors and Solutions:

"Invalid model input"

• Explanation: The model input is either missing or not correctly specified.
• Solution: Ensure that you provide a valid model as input to the node.

"Seed value out of range"

• Explanation: The seed value provided is outside the acceptable range.
• Solution: Use a seed value within the range of 0 to 0xffffffffffffffff.

"Invalid tiling parameters"

• Explanation: The tileX or tileY parameters are not set correctly.
• Solution: Ensure that tileX and tileY are set to either 0 or 1.

"Steps value out of range"

• Explanation: The steps parameter is set to a value outside the acceptable range.
• Solution: Set the steps parameter to a value between 1 and 10000.

"Denoise value out of range"

• Explanation: The denoise parameter is set to a value outside the acceptable range.
• Solution: Set the denoise parameter to a value between 0.0 and 1.0.