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Facilitates creative interpolation of latent sample batches for dynamic blending and morphing in AI-generated art.
The BatchCreativeInterpolationNodeDynamicSettings
is designed to facilitate the creative interpolation of batches of latent samples, allowing you to blend and morph between different sets of latent representations dynamically. This node is particularly useful for generating smooth transitions and creative variations in AI-generated art by interpolating between different latent vectors. By leveraging this node, you can achieve more nuanced and artistically rich outputs, enhancing the creative potential of your AI models. The primary goal of this node is to provide a flexible and dynamic way to interpolate between batches, enabling more complex and varied artistic expressions.
samples1
represents the first set of latent samples that you want to interpolate from. This parameter is crucial as it serves as one of the two endpoints for the interpolation process. The latent samples should be in the format expected by the node, typically a tensor or array of latent vectors.
samples2
is the second set of latent samples that you want to interpolate to. Similar to samples1
, this parameter is essential as it defines the other endpoint for the interpolation. The latent samples should match the format and dimensions of samples1
to ensure a smooth interpolation.
ratio
is a floating-point value that determines the interpolation weight between samples1
and samples2
. A ratio
of 0.0 means the output will be entirely samples1
, while a ratio
of 1.0 means the output will be entirely samples2
. Values between 0.0 and 1.0 will produce a blend of the two sets of samples. The default value is 1.0, with a minimum of 0.0 and a maximum of 1.0, allowing for fine-grained control over the interpolation process.
samples
is the output parameter that contains the interpolated latent samples. This output represents a blend of samples1
and samples2
based on the specified ratio
. The resulting latent samples can then be used for further processing or decoding to generate images or other forms of AI-generated art. The output is crucial for achieving the desired creative effects and transitions in your work.
ratio
values to find the optimal blend between samples1
and samples2
for your artistic goals.samples1
and samples2
have matching dimensions and formats to avoid errors and achieve smooth interpolations.LatentUpscale
or VAEDecode
, to enhance the final output and add more complexity to your creations.samples1
and samples2
have different dimensions or formats.ratio
value is outside the allowed range of 0.0 to 1.0.ratio
value to be within the range of 0.0 to 1.0. The default value is 1.0, but you can set it anywhere between 0.0 and 1.0 for different interpolation effects.samples1
or samples2
is not provided.samples1
and samples2
are supplied to the node to perform the interpolation.© Copyright 2024 RunComfy. All Rights Reserved.