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Identifies and categorizes Stable Diffusion model versions for AI artists, ensuring compatibility and streamlining workflows.
The SDBaseVerNumber
node is designed to identify and categorize the version of a given Stable Diffusion (SD) model. This node is particularly useful for AI artists who work with various versions of SD models and need to ensure compatibility and proper functionality across different versions. By determining the specific version of the model, the node helps streamline workflows and avoid potential issues related to version mismatches. The node evaluates the model and returns a set of boolean values indicating whether the model belongs to one of the supported versions: SD1.5, SDXL, Aura, Flux, or Hunyuan. This functionality is essential for maintaining consistency and reliability in AI art generation processes.
The model
parameter is the only input required by the SDBaseVerNumber
node. It represents the Stable Diffusion model that you want to evaluate. The node will analyze this model to determine its version. This parameter is crucial as it directly impacts the node's ability to correctly identify the model version and return the appropriate boolean values. There are no specific minimum, maximum, or default values for this parameter, as it simply needs to be a valid Stable Diffusion model.
The sd1.5
output is a boolean value that indicates whether the provided model is compatible with or belongs to the SD1.5 version. A value of True
means the model is identified as SD1.5, while False
means it is not.
The sdxl
output is a boolean value that signifies whether the model is recognized as an SDXL version. If the output is True
, the model is an SDXL version; if False
, it is not.
The aura
output is a boolean value that determines if the model is an AuraFlow version. A True
value indicates the model is AuraFlow, whereas False
indicates it is not.
The flux
output is a boolean value that shows whether the model is a Flux version. If the output is True
, the model is identified as Flux; if False
, it is not.
The hunyuan
output is a boolean value that indicates if the model is a HunyuanDiT version. A True
value means the model is HunyuanDiT, while False
means it is not.
model
parameter is a valid and supported Stable Diffusion model to get accurate version identification.© Copyright 2024 RunComfy. All Rights Reserved.