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Facilitates dynamic switching between up to four models for streamlined workflow and enhanced flexibility in model management.
The DD-ModelSwitcher node is designed to facilitate the selection of a specific model from multiple model inputs, allowing you to dynamically switch between up to four different models. This node is particularly useful in scenarios where you need to compare or utilize different models for various tasks without manually changing the model each time. By using a selector, you can specify which model to output, streamlining workflows and enhancing flexibility in model management. This capability is essential for AI artists who work with multiple models and need a seamless way to switch between them based on specific requirements or conditions.
This parameter represents the first model input. It is a required parameter and serves as one of the potential models you can select for output. The function of this parameter is to provide a model option for the switcher to choose from.
This parameter represents the second model input. Like 模型1, it is required and offers another model choice for the switcher. It allows you to have multiple models ready for selection, enhancing the node's versatility.
This integer parameter determines which model will be selected for output. It is required and has a default value of 1, with a minimum value of 1 and a maximum value of 4. The parameter's function is to specify the index of the model you wish to output, making it a crucial part of the node's operation.
This is an optional parameter that represents the third model input. It provides an additional model option for the switcher, allowing for greater flexibility in model selection.
This optional parameter represents the fourth model input. It further extends the node's capability by offering another model choice, enabling you to manage up to four models simultaneously.
The output parameter is the selected model based on the input from the 选择输出 parameter. This output is crucial as it determines which model will be used in subsequent processes or tasks. The ability to dynamically switch and output the desired model enhances workflow efficiency and adaptability.
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不存在,默认使用模型1RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.