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Facilitates dynamic selection of conditioning inputs for AI art generation, enhancing flexibility and control.
The DD-ConditionSwitcher node is designed to facilitate the selection of a specific conditioning input from multiple available options. This node is particularly useful in scenarios where you have multiple conditioning inputs and need to dynamically choose one based on certain criteria or preferences. By providing a simple mechanism to switch between up to four conditioning inputs, the DD-ConditionSwitcher enhances flexibility and control in your workflow. This node is part of the DD series, which is known for its intuitive and user-friendly design, making it accessible even to those with limited technical expertise. The primary function of this node is to streamline the process of selecting the desired conditioning input, thereby optimizing the overall efficiency and effectiveness of your AI art generation process.
This parameter represents the first conditioning input. It is a required parameter and serves as one of the potential inputs that can be selected for output. The conditioning input is crucial as it influences the behavior and characteristics of the output generated by the node.
Similar to 条件1, this parameter is the second conditioning input and is also required. It provides an alternative option for the conditioning input, allowing for greater flexibility in determining the final output.
This integer parameter determines which conditioning input will be selected as the output. It is required and has a default value of 1, with a minimum value of 1 and a maximum value of 4. The value of this parameter directly impacts which conditioning input is chosen, making it a critical component in the node's operation.
This is an optional conditioning input, providing an additional option for selection. If not provided, the node will function with the available inputs. This parameter allows for more complex configurations and greater adaptability in various scenarios.
Similar to 条件3, this is another optional conditioning input. It further extends the flexibility of the node by offering yet another potential input for selection, accommodating more complex workflows.
The output parameter represents the selected conditioning input based on the value of the 选择输出 parameter. This output is crucial as it determines the conditioning that will be applied in subsequent processes. The ability to dynamically select and output a specific conditioning input enhances the adaptability and precision of your AI art generation tasks.
{选择索引+1}
不存在,默认使用条件1None
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. Adjust the 选择输出 parameter to select an available input.RunComfy 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.