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Specialized node for managing and manipulating embeddings within the Primere framework, streamlining embedding workflow.
The PrimereEmbeddingHandler
is a specialized node designed to manage and manipulate embeddings within the Primere framework. This node plays a crucial role in handling the embedding process, ensuring that the embeddings are correctly applied and integrated into the model. By leveraging this node, you can efficiently manage the placement and merging of embeddings, which are essential for enhancing the model's understanding and generation capabilities. The PrimereEmbeddingHandler
simplifies the complex process of embedding management, making it accessible even to those without a deep technical background. Its primary goal is to streamline the embedding workflow, ensuring that embeddings are correctly placed and utilized to improve the model's performance and output quality.
This parameter specifies the positive embedding placement, which determines where the positive embeddings should be applied within the model. The correct placement of positive embeddings is crucial for enhancing the model's ability to generate desired outputs. The parameter accepts a list of positions where the embeddings should be placed.
This parameter specifies the negative embedding placement, which determines where the negative embeddings should be applied within the model. Proper placement of negative embeddings helps in refining the model's output by reducing undesired elements. The parameter accepts a list of positions where the embeddings should be placed.
This parameter defines the version of the stack to be used. It allows you to specify which version of the embedding stack should be applied, providing flexibility in choosing the appropriate stack for your needs. The default value is 'Any', which means any available stack version can be used.
This parameter specifies the version of the model to be used. It allows you to select the appropriate model version that aligns with your embedding requirements. The default value is "BaseModel_1024", which is a standard model version suitable for most embedding tasks.
This output parameter provides the newly created embedding after the specified placements and merges have been applied. The new embedding is a refined version that incorporates the positive and negative embeddings as specified, enhancing the model's performance and output quality.
embedding_placement_pos
and embedding_placement_neg
parameters to achieve the desired embedding effects.stack_version
and model_version
settings to find the optimal configuration for your specific task.embedding_placement_pos
and embedding_placement_neg
are within the valid range for your model. Adjust the positions to ensure they are valid and within the model's expected range.© Copyright 2024 RunComfy. All Rights Reserved.