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Flexible sampler selection and configuration for AI art generation with predefined options and parameter fine-tuning.
The CFGPPSamplerSelect
node is designed to provide a flexible and efficient way to select and configure various samplers for AI art generation. This node allows you to choose from a range of predefined samplers, each with unique characteristics and capabilities, to best suit your creative needs. By offering a selection of samplers and the ability to fine-tune parameters such as eta
, this node empowers you to achieve the desired artistic effects and optimize the sampling process. The primary goal of this node is to streamline the selection and configuration of samplers, making it easier for you to experiment with different techniques and achieve high-quality results in your AI art projects.
The sampler_name
parameter allows you to select the specific sampler you want to use from a predefined list of options. Each sampler has unique characteristics that can influence the final output of your AI art. The available options include euler_cfg_pp
, euler_ancestral_cfg_pp
, dpmpp_2m_cfg_pp
, dpmpp_2m_sde_cfg_pp
, dpmpp_2m_sde_gpu_cfg_pp
, dpmpp_3m_sde_cfg_pp
, dpmpp_3m_sde_gpu_cfg_pp
, euler_dy_cfg_pp
, and euler_smea_dy_cfg_pp
. Choosing the right sampler can significantly impact the style and quality of your generated images.
The eta
parameter is a floating-point value that controls the amount of noise added during the sampling process. It allows you to fine-tune the balance between randomness and determinism in the generated images. The eta
parameter has a default value of 1.0, with a minimum value of 0.0 and a maximum value of 100.0. Adjusting this parameter can help you achieve different artistic effects, from more structured and predictable outputs to more varied and creative results.
The SAMPLER
output parameter represents the configured sampler object that will be used in the AI art generation process. This output is crucial as it encapsulates the selected sampler and its configuration, ready to be utilized in subsequent nodes or processes. The SAMPLER
output ensures that the chosen sampling technique and parameters are correctly applied, enabling you to generate images with the desired characteristics and quality.
sampler_name
options to find the one that best suits your artistic vision and project requirements.eta
parameter to control the level of noise and randomness in your generated images, which can help you achieve a variety of artistic effects.sampler_name
provided is not recognized or is not in the list of available samplers.sampler_name
is one of the predefined options: euler_cfg_pp
, euler_ancestral_cfg_pp
, dpmpp_2m_cfg_pp
, dpmpp_2m_sde_cfg_pp
, dpmpp_2m_sde_gpu_cfg_pp
, dpmpp_3m_sde_cfg_pp
, dpmpp_3m_sde_gpu_cfg_pp
, euler_dy_cfg_pp
, or euler_smea_dy_cfg_pp
.eta
value provided is outside the acceptable range (0.0 to 100.0).eta
value to be within the specified range. The default value is 1.0, and you can set it anywhere between 0.0 and 100.0.<sampler_name>
'sampler_name
does not correspond to a valid sampling function in the k_diffusion_sampling
module.sampler_name
is correctly spelled and matches one of the available samplers. If the error persists, check if the necessary modules and functions are correctly imported and available in your environment.© Copyright 2024 RunComfy. All Rights Reserved.