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Powerful node for AI art generation, offering precise control over sampling process with customizable options for creating unique artworks.
KSampler __Inspire is a powerful node designed to facilitate the sampling process in AI art generation. It leverages advanced algorithms to generate high-quality latent images based on the provided model and conditioning inputs. This node is particularly beneficial for artists looking to fine-tune their creative outputs by adjusting various parameters such as seed, steps, and configuration settings. By offering a range of customizable options, KSampler __Inspire allows for precise control over the sampling process, enabling the creation of unique and visually appealing artworks. Its primary goal is to enhance the creative workflow by providing a robust and flexible tool for generating and refining AI-generated images.
This parameter specifies the AI model to be used for sampling. It is a required input and determines the underlying architecture and capabilities of the sampling process.
The seed parameter is an integer value that initializes the random number generator used in the sampling process. It ensures reproducibility of results. The default value is 0, with a minimum of 0 and a maximum of 0xffffffffffffffff.
This parameter defines the number of steps to be taken during the sampling process. More steps generally lead to higher quality images but increase computation time. The default value is 20, with a minimum of 1 and a maximum of 10000.
The cfg (Classifier-Free Guidance) parameter is a float value that controls the strength of the guidance applied during sampling. Higher values result in stronger guidance, which can lead to more coherent images. The default value is 8.0, with a range from 0.0 to 100.0, adjustable in steps of 0.1.
This parameter allows you to select the specific sampling algorithm to be used. The available options are defined in comfy.samplers.KSampler.SAMPLERS
.
The scheduler parameter specifies the scheduling strategy for the sampling process. The available options are defined in comfy.samplers.KSampler.SCHEDULERS
.
This parameter provides the positive conditioning input, which influences the desired features in the generated image.
The negative parameter provides the negative conditioning input, which helps to suppress undesired features in the generated image.
This parameter accepts a latent image input, which serves as the starting point for the sampling process.
The denoise parameter is a float value that controls the amount of noise reduction applied during sampling. A value of 1.0 applies full denoising, while lower values retain more noise. The default value is 1.0, with a range from 0.0 to 1.0, adjustable in steps of 0.01.
The output of the KSampler __Inspire node is a latent image, which represents the generated visual content in a compressed form. This latent image can be further processed or decoded to produce the final artwork. The output is crucial for understanding the intermediate representations and refining the creative process.
comfy.samplers.KSampler.SAMPLERS
and comfy.samplers.KSampler.SCHEDULERS
, respectively.© Copyright 2024 RunComfy. All Rights Reserved.