ComfyUI Node: SimpleSampler

SimpleSampler:

The SimpleSampler node is designed to provide a straightforward and efficient way to sample data within the ComfyUI framework. This node is particularly useful for AI artists who need to generate samples quickly and with minimal configuration. The SimpleSampler focuses on simplicity and ease of use, making it an ideal choice for those who are new to sampling techniques or who require a basic sampling method without the complexity of advanced settings. By using this node, you can achieve reliable sampling results that are suitable for a variety of artistic and creative applications.

SimpleSampler Input Parameters:

eta

The eta parameter controls the noise level in the sampling process. It is a floating-point value that determines the amount of randomness introduced during sampling. A higher eta value results in more noise, which can lead to more diverse samples, while a lower eta value produces cleaner and more consistent results. The eta parameter ranges from 0.0 to 100.0, with a default value of 1.0. Adjusting this parameter allows you to fine-tune the balance between diversity and consistency in your samples.

s_noise

The s_noise parameter specifies the scale of the noise applied during sampling. Similar to eta, it is a floating-point value that influences the overall noise level. The s_noise parameter ranges from 0.0 to 100.0, with a default value of 1.0. By modifying this parameter, you can control the intensity of the noise, which affects the variability and uniqueness of the generated samples.

SimpleSampler Output Parameters:

SAMPLER

The SAMPLER output is the primary result of the SimpleSampler node. It represents the configured sampler object that can be used in subsequent nodes or processes within the ComfyUI framework. This output is essential for generating samples based on the specified input parameters, and it encapsulates the sampling logic and settings defined by the SimpleSampler node.

SimpleSampler Usage Tips:

• To achieve more diverse and creative samples, consider increasing the eta and s_noise values. This will introduce more randomness and variability into the sampling process.
• For more consistent and cleaner samples, reduce the eta and s_noise values. This will minimize the noise and produce more uniform results.
• Experiment with different combinations of eta and s_noise to find the optimal balance for your specific artistic needs and preferences.

SimpleSampler Common Errors and Solutions:

Invalid eta value

• Explanation: The eta value provided is outside the acceptable range (0.0 to 100.0).
• Solution: Ensure that the eta value is within the specified range. Adjust the value to be between 0.0 and 100.0.

Invalid s_noise value

• Explanation: The s_noise value provided is outside the acceptable range (0.0 to 100.0).
• Solution: Ensure that the s_noise value is within the specified range. Adjust the value to be between 0.0 and 100.0.

SAMPLER output not generated

• Explanation: The SimpleSampler node failed to produce a SAMPLER output due to incorrect input parameters or internal errors.
• Solution: Double-check the input parameters (eta and s_noise) to ensure they are correctly set. If the issue persists, try resetting the node or consult the ComfyUI documentation for further troubleshooting steps.