ComfyUI > Nodes > ComfyUI_Fill-Nodes > FL Ksampler Settings

ComfyUI Node: FL Ksampler Settings

Class Name

FL_KsamplerSettings

Category
🏵️Fill Nodes
Author
filliptm (Account age: 1737days)
Extension
ComfyUI_Fill-Nodes
Latest Updated
2024-06-23
Github Stars
0.12K

How to Install ComfyUI_Fill-Nodes

Install this extension via the ComfyUI Manager by searching for ComfyUI_Fill-Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI_Fill-Nodes 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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FL Ksampler Settings Description

Node for advanced configuration of KSampler, enhancing control over image generation parameters.

FL Ksampler Settings:

FL_KsamplerSettings is a node designed to provide advanced configuration options for the KSampler, a key component in AI art generation workflows. This node allows you to fine-tune various parameters that control the sampling process, enabling more precise and customized outputs. By adjusting settings such as the number of steps, configuration values (CFG), and denoising levels, you can achieve a higher degree of control over the generated images. The primary goal of FL_KsamplerSettings is to enhance the flexibility and effectiveness of the sampling process, making it easier to produce high-quality, tailored results.

FL Ksampler Settings Input Parameters:

batch

This parameter specifies the number of images to generate in a single batch. Increasing the batch size can speed up the generation process when multiple images are needed, but it also requires more computational resources. The default value is 1, with a minimum of 1 and a maximum of 10000.

Pass_1_steps

This parameter sets the number of steps for the first pass of the sampling process. More steps generally lead to higher quality images but also increase the computation time. The default value is 25, with a minimum of 1 and a maximum of 10000.

Pass_2_steps

This parameter sets the number of steps for the second pass of the sampling process. Similar to Pass_1_steps, more steps can improve image quality at the cost of longer processing times. The default value is 25, with a minimum of 1 and a maximum of 10000.

Pass_1_CFG

This parameter controls the configuration value (CFG) for the first pass. CFG influences the adherence to the conditioning inputs, with higher values leading to more faithful representations. The default value is 6.0, with a range from -10.0 to 100.0, adjustable in steps of 0.1.

Pass_2_CFG

This parameter controls the configuration value (CFG) for the second pass. Like Pass_1_CFG, it affects how closely the output matches the conditioning inputs. The default value is 6.0, with a range from -10.0 to 100.0, adjustable in steps of 0.1.

Pass_2_denoise

This parameter sets the denoising level for the second pass. Denoising helps to reduce noise in the generated images, leading to cleaner results. The default value is 0.500, with a range from -10.000 to 100.000, adjustable in steps of 0.001.

scale_factor

This parameter determines the scaling factor applied during the sampling process. It can be used to adjust the size of the generated images. The default value is 1.5, with a range from 1.0 to 10.0, adjustable in steps of 0.1.

FL Ksampler Settings Output Parameters:

LATENT

The output of the FL_KsamplerSettings node is a latent representation of the generated image. This latent output can be further processed or decoded into a final image. The latent representation is crucial for subsequent steps in the AI art generation pipeline, as it contains the compressed information needed to produce the final visual output.

FL Ksampler Settings Usage Tips:

  • Adjust the batch parameter to generate multiple images simultaneously, which can save time when you need several outputs.
  • Experiment with different Pass_1_steps and Pass_2_steps values to find the optimal balance between image quality and processing time.
  • Use the Pass_1_CFG and Pass_2_CFG parameters to control how closely the generated images adhere to the conditioning inputs, which can be useful for achieving specific artistic effects.
  • Fine-tune the Pass_2_denoise parameter to reduce noise in the final images, leading to cleaner and more polished results.
  • Modify the scale_factor to adjust the size of the generated images, which can be useful for creating outputs at different resolutions.

FL Ksampler Settings Common Errors and Solutions:

"Invalid batch size"

  • Explanation: The batch parameter value is outside the allowed range.
  • Solution: Ensure that the batch value is between 1 and 10000.

"Pass_1_steps out of range"

  • Explanation: The Pass_1_steps parameter value is outside the allowed range.
  • Solution: Set the Pass_1_steps value between 1 and 10000.

"Pass_2_steps out of range"

  • Explanation: The Pass_2_steps parameter value is outside the allowed range.
  • Solution: Set the Pass_2_steps value between 1 and 10000.

"Invalid Pass_1_CFG value"

  • Explanation: The Pass_1_CFG parameter value is outside the allowed range.
  • Solution: Ensure that the Pass_1_CFG value is between -10.0 and 100.0.

"Invalid Pass_2_CFG value"

  • Explanation: The Pass_2_CFG parameter value is outside the allowed range.
  • Solution: Ensure that the Pass_2_CFG value is between -10.0 and 100.0.

"Pass_2_denoise out of range"

  • Explanation: The Pass_2_denoise parameter value is outside the allowed range.
  • Solution: Set the Pass_2_denoise value between -10.000 and 100.000.

"Invalid scale_factor value"

  • Explanation: The scale_factor parameter value is outside the allowed range.
  • Solution: Ensure that the scale_factor value is between 1.0 and 10.0.

FL Ksampler Settings Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI_Fill-Nodes
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