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Facilitates high-quality sample generation with controlled randomness for AI art creation in MochiEdit suite.
The MochiUnsampler node is designed to facilitate the process of generating samples from a given model by utilizing a specific sampling function. This node is part of the MochiEdit suite, which aims to provide advanced sampling capabilities for AI art generation. The primary purpose of the MochiUnsampler is to create a sampler that can be used to produce high-quality outputs by leveraging a forward sampling function. This function is tailored to work with a specified seed and gamma value, allowing for controlled randomness and influence over the sampling process. By integrating this node into your workflow, you can achieve more refined and consistent results, making it an essential tool for artists looking to explore the creative possibilities of AI-generated art.
The seed
parameter is an integer that serves as the starting point for the random number generator used in the sampling process. It allows for reproducibility of results, meaning that using the same seed will yield the same output each time the node is executed. The seed value can range from 0 to 0xffffffffffffffff, with a default value of 0. By adjusting the seed, you can explore different variations of the generated output while maintaining control over the randomness involved in the sampling process.
The gamma
parameter is a floating-point value that influences the behavior of the sampling function. It acts as a control mechanism for the intensity or strength of the sampling process, affecting how the samples are generated. The gamma value can range from 0.0 to 30.0, with a default value of 0.0 and a step increment of 0.01. By fine-tuning the gamma parameter, you can adjust the level of detail or abstraction in the generated samples, allowing for a wide range of artistic expressions.
The output of the MochiUnsampler node is a SAMPLER
, which is a specialized object that encapsulates the sampling function configured with the provided seed and gamma values. This sampler can be used in subsequent nodes or processes to generate samples from a model, providing a consistent and controlled approach to AI art generation. The SAMPLER output is crucial for ensuring that the sampling process is aligned with the artist's creative vision, enabling the production of high-quality and reproducible results.
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