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Facilitates embedding integration for AI art projects, enhancing text semantic richness and control over output generation.
The EmbeddingPicker node is designed to facilitate the integration of embeddings into your text-based AI art projects. This node allows you to select from a list of available embeddings and incorporate them into your text with customizable emphasis. By using this node, you can enhance the semantic richness of your text inputs, which can be particularly useful for generating more nuanced and contextually aware AI art. The main function of the EmbeddingPicker is to concatenate the selected embedding with your text, either appending it to the end or prepending it to the beginning, based on your preference. This flexibility allows you to control how the embedding influences the generated output, making it a powerful tool for fine-tuning your AI art projects.
This parameter allows you to select an embedding from a list of available embeddings. The embeddings are typically pre-trained vectors that capture semantic information about words or phrases. By selecting an appropriate embedding, you can enhance the contextual understanding of your text input. The list of embeddings is dynamically generated from the "embeddings" directory.
This parameter controls the emphasis or weight given to the selected embedding when it is concatenated with the text. It is a floating-point value that ranges from 0.0 to 3.0, with a default value of 1.0. A higher emphasis value increases the influence of the embedding on the final output, while a lower value reduces its impact. The emphasis value is formatted to three decimal places for precision.
This boolean parameter determines whether the embedding should be appended to the end of the text or prepended to the beginning. The default value is false
, meaning the embedding will be prepended. If set to true
, the embedding will be appended. This option allows you to control the position of the embedding relative to the text, which can affect the generated output.
This parameter is a multiline string input that represents the text to which the embedding will be concatenated. You can enter any text here, and the node will combine it with the selected embedding based on the specified emphasis and append settings.
The output parameter is a string that contains the concatenated result of the input text and the selected embedding. The format of the output depends on the emphasis value and whether the embedding is appended or prepended. This output can be used as input for subsequent nodes in your AI art project, allowing you to leverage the enhanced semantic information provided by the embedding.
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