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Enhanced AI art sampling with advanced control and precision for improved output quality.
ClownSamplerAdvanced is a sophisticated node designed to enhance the sampling process in AI art generation. It builds upon the foundational capabilities of the basic ClownSampler, offering advanced features that allow for more nuanced and refined control over the sampling process. This node is particularly beneficial for artists seeking to achieve higher precision and detail in their generated artworks. By leveraging advanced algorithms, ClownSamplerAdvanced aims to improve the quality and consistency of the output, making it an essential tool for those looking to push the boundaries of creativity and technical excellence in AI art.
The SamplingRate parameter determines the frequency at which the node samples data during the generation process. A higher sampling rate can lead to more detailed and accurate results, but may also increase processing time. The minimum value is 1, the maximum value is 100, and the default value is 50. Adjusting this parameter allows you to balance between speed and quality based on your specific needs.
NoiseLevel controls the amount of noise introduced during the sampling process. This can affect the texture and randomness of the generated art. A lower noise level results in smoother outputs, while a higher level introduces more variability and texture. The range is from 0 to 1, with a default value of 0.5. Experimenting with this parameter can help achieve the desired artistic effect.
The SampledImage output is the final artwork generated by the ClownSamplerAdvanced node. It reflects the input parameters' influence, showcasing the level of detail and texture achieved through the sampling process. This output is crucial for evaluating the effectiveness of the chosen settings and making further adjustments to refine the artwork.
SamplingData provides metadata about the sampling process, including information on the sampling rate and noise level used. This output is valuable for understanding the technical aspects of the generation process and for documenting the settings that led to a particular result.
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