ComfyUI > Nodes > ComfyUI-LG_SamplingUtils > ZImage Timestep Noise

ComfyUI Node: ZImage Timestep Noise

Class Name

ZImageTimestepNoise

Category
🎈LAOGOU/Sampling Utils
Author
LAOGOU-666 (Account age: 656days)
Extension
ComfyUI-LG_SamplingUtils
Latest Updated
2025-12-24
Github Stars
0.14K

How to Install ComfyUI-LG_SamplingUtils

Install this extension via the ComfyUI Manager by searching for ComfyUI-LG_SamplingUtils
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-LG_SamplingUtils in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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ZImage Timestep Noise Description

ZImageTimestepNoise adds noise to image generation models for diverse, creative outputs.

ZImage Timestep Noise:

ZImageTimestepNoise is a node designed to introduce noise perturbations during the sampling process of image generation models. Its primary purpose is to disrupt the homogeneity of model outputs, allowing for more diverse results even when using different seeds. By adding noise to the timestep or sigma values, this node alters the model's perception of the current denoising step, leading to varied outputs. This capability is particularly beneficial for AI artists seeking to explore a broader range of creative possibilities and achieve unique artistic effects. The node operates by either applying a noise factor to the timestep or adjusting it within a calculated range, depending on the selected mode. This process ensures that the model's output is not only influenced by the initial conditions but also by the controlled randomness introduced by the node, enhancing the overall diversity and creativity of the generated images.

ZImage Timestep Noise Input Parameters:

input_x

input_x represents the input data to which the noise perturbation will be applied. It is crucial for the node's operation as it serves as the base upon which the noise is introduced, affecting the final output of the model.

timestep

timestep is a parameter that indicates the current step in the denoising process. The node modifies this value by adding noise, which alters the model's perception of the denoising step and contributes to generating diverse outputs.

c

c is a context or configuration parameter that provides additional settings or conditions required for the model's execution. It ensures that the node operates within the specified parameters and constraints, maintaining the desired output quality.

latent_mask

latent_mask is an optional parameter that, if provided, allows for selective application of noise. It acts as a mask to blend the original and noisy results, offering more control over which parts of the input are affected by the noise perturbation.

mode

mode determines the method of noise application, either by adjusting the sigma value or by using a flow-based approach. This choice impacts how the noise is calculated and applied, influencing the diversity and characteristics of the output.

noise_strength

noise_strength defines the intensity of the noise applied to the timestep. A higher value results in more significant perturbations, leading to greater variability in the model's output, while a lower value maintains closer adherence to the original input.

seed

seed is used to initialize the random number generator, ensuring reproducibility of results. By setting a specific seed, users can achieve consistent outputs across different runs, which is essential for controlled experimentation and comparison.

start_

start_ specifies the starting point of the noise application range. It determines when the noise perturbation begins during the sampling process, allowing for precise control over the timing and extent of the noise effect.

end_percent

end_percent indicates the endpoint of the noise application range. It defines when the noise perturbation should cease, providing users with the ability to fine-tune the duration and impact of the noise on the output.

ZImage Timestep Noise Output Parameters:

result

result is the final output of the node after applying the noise perturbation. It represents the modified input data, reflecting the changes introduced by the noise to the timestep or sigma values. This output is crucial for achieving the desired diversity and uniqueness in the generated images.

ZImage Timestep Noise Usage Tips:

  • Experiment with different noise_strength values to find the optimal level of diversity for your artistic goals. A higher strength can lead to more creative variations, while a lower strength maintains more of the original input's characteristics.
  • Utilize the latent_mask parameter to selectively apply noise to specific areas of your input, allowing for targeted creativity and control over the final output.
  • Adjust the start_ and end_percent parameters to control the timing of noise application, which can be useful for achieving specific artistic effects or transitions in your generated images.

ZImage Timestep Noise Common Errors and Solutions:

"Noise strength must be greater than zero"

  • Explanation: This error occurs when the noise_strength parameter is set to zero or a negative value, which is not allowed as it would result in no noise being applied.
  • Solution: Ensure that the noise_strength parameter is set to a positive value to enable noise perturbation.

"Invalid mode selected"

  • Explanation: This error indicates that an unsupported mode has been chosen for the noise application method.
  • Solution: Verify that the mode parameter is set to a valid option, such as "sigma" or "flow", to ensure proper operation of the node.

"Seed value not set"

  • Explanation: This error suggests that the seed parameter has not been initialized, which is necessary for reproducibility.
  • Solution: Set a specific seed value to ensure consistent results across different runs of the node.

ZImage Timestep Noise Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-LG_SamplingUtils
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