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Sophisticated sampling tool for AI artists to control image sharpness and enhance output quality.
The Fooocus_KSamplerAdvanced node is a sophisticated sampling tool designed for AI artists who want to generate high-quality images with enhanced control over the sharpness of the output. This node builds upon the capabilities of the standard KSamplerAdvanced by introducing an additional parameter for sharpness, allowing you to fine-tune the clarity and detail of your generated images. By leveraging this node, you can achieve more precise and visually appealing results, making it an essential tool for advanced image synthesis tasks.
This parameter specifies the model to be used for sampling. It is a required input and determines the underlying AI model that will generate the images.
The seed parameter is an integer value that initializes the random number generator. It ensures reproducibility of results. The default value is 0, with a minimum of 0 and a maximum of 0xffffffffffffffff.
This integer parameter defines the number of sampling steps to be performed. 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. Higher values result in images that more closely follow the provided conditioning. The default value is 8.0, with a minimum of 0.0 and a maximum of 100.0, adjustable in steps of 0.1.
This parameter allows you to select the sampling algorithm to be used. It is a required input and offers various options from the comfy.samplers.KSampler.SAMPLERS list.
The scheduler parameter specifies the scheduling strategy for the sampling process. It is a required input and offers various options from the comfy.samplers.KSampler.SCHEDULERS list.
This parameter provides the positive conditioning for the sampling process. It is a required input and significantly influences the generated image's features.
The negative parameter provides the negative conditioning, which helps in steering the sampling process away from undesired features. It is a required input.
This parameter represents the latent image to be used as the starting point for the sampling process. It is a required input and serves as the initial state for image generation.
The denoise parameter is a float value that controls the amount of noise reduction applied during sampling. The default value is 1.0, with a minimum of 0.0 and a maximum of 1.0, adjustable in steps of 0.01.
This optional float parameter allows you to adjust the sharpness of the generated image. The default value is 2.0, with a minimum of 0.0 and a maximum of 100.0, adjustable in steps of 0.01. Increasing the sharpness value enhances the clarity and detail of the output image.
The output of the Fooocus_KSamplerAdvanced node is a latent representation of the generated image. This latent output can be further processed or decoded into a final image. It encapsulates the detailed features and characteristics defined by the input parameters, including the sharpness adjustment.
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