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Node for advanced configuration of KSampler, enhancing control over image generation parameters.
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.
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.
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.
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.
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.
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.
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.
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.
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.
batch
parameter to generate multiple images simultaneously, which can save time when you need several outputs.Pass_1_steps
and Pass_2_steps
values to find the optimal balance between image quality and processing time.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.Pass_2_denoise
parameter to reduce noise in the final images, leading to cleaner and more polished results.scale_factor
to adjust the size of the generated images, which can be useful for creating outputs at different resolutions.batch
parameter value is outside the allowed range.batch
value is between 1 and 10000.Pass_1_steps
parameter value is outside the allowed range.Pass_1_steps
value between 1 and 10000.Pass_2_steps
parameter value is outside the allowed range.Pass_2_steps
value between 1 and 10000.Pass_1_CFG
parameter value is outside the allowed range.Pass_1_CFG
value is between -10.0 and 100.0.Pass_2_CFG
parameter value is outside the allowed range.Pass_2_CFG
value is between -10.0 and 100.0.Pass_2_denoise
parameter value is outside the allowed range.Pass_2_denoise
value between -10.000 and 100.000.scale_factor
parameter value is outside the allowed range.scale_factor
value is between 1.0 and 10.0.© Copyright 2024 RunComfy. All Rights Reserved.