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Introduce controlled noise into latent representations for AI art generation tasks, enhancing creativity and realism.
The NoisyLatentLike node is designed to introduce controlled noise into latent representations, which can be particularly useful in various AI art generation tasks. This node leverages a model and sigma values to scale and apply noise, ensuring that the noise is consistent with the latent space's characteristics. By doing so, it helps in creating more diverse and realistic outputs, enhancing the creative possibilities for AI artists. The node's primary function is to add noise in a way that respects the underlying structure of the latent space, making it a valuable tool for generating variations and exploring different artistic styles.
This parameter represents the model used to guide the noise application process. It is essential when sigma values are provided, as it ensures that the noise is scaled appropriately according to the latent space's characteristics. If no model is provided when sigmas are connected, the node will raise an error. This parameter does not have a default value and must be specified if sigmas are used.
The sigmas parameter is a list of sigma values that determine the amount of noise to be applied. These values are crucial for scaling the noise correctly. If sigmas are provided, the model parameter must also be specified. The sigmas help in defining the noise's intensity and distribution, ensuring that it aligns with the latent space's structure. There is no default value for this parameter, and it must be provided if noise scaling is required.
This parameter represents the latent samples to which the noise will be applied. It is a dictionary containing the latent tensor that will be modified by the noise. The latent samples are the core data that the node operates on, and they must be provided for the node to function correctly.
The output parameter is the modified latent samples with the applied noise. This output retains the structure of the input latent samples but with added noise, making it suitable for further processing or direct use in generating AI art. The noise application aims to enhance the diversity and realism of the generated outputs, providing artists with more creative possibilities.
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