ComfyUI  >  Nodes  >  Bmad Nodes >  ExtendModelList

ComfyUI Node: ExtendModelList

Class Name

ExtendModelList

Category
Bmad/Lists/Extend
Author
bmad4ever (Account age: 3591 days)
Extension
Bmad Nodes
Latest Updated
8/2/2024
Github Stars
0.1K

How to Install Bmad Nodes

Install this extension via the ComfyUI Manager by searching for  Bmad Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Bmad Nodes in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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ExtendModelList Description

Efficiently manage and extend model lists in AI art projects for streamlined workflow and organization.

ExtendModelList:

The ExtendModelList node is designed to help you efficiently manage and extend lists of models within your AI art projects. This node allows you to combine multiple model inputs into a single, cohesive list, making it easier to handle and manipulate large sets of models. By using this node, you can streamline your workflow, ensuring that all your models are organized and accessible in one place. This is particularly useful when working with complex projects that require multiple models, as it simplifies the process of managing and extending your model lists.

ExtendModelList Input Parameters:

inputs_len

This parameter specifies the number of input models you want to include in the list. It determines how many models will be processed and combined into a single list. The value should be an integer representing the count of input models. For example, if you have three models to combine, you would set inputs_len to 3. This parameter is crucial as it directly impacts the size and content of the resulting model list.

model_0, model_1, ..., model_n

These parameters represent the individual models that you want to include in the list. Each model parameter corresponds to a specific model input, where model_0 is the first model, model_1 is the second, and so on. The number of these parameters should match the value specified in inputs_len. Each model input should be of the type MODEL. These parameters are essential as they provide the actual model data that will be combined into the final list.

ExtendModelList Output Parameters:

list

The output parameter list is a single, cohesive list that contains all the models specified in the input parameters. This list is the result of combining the individual model inputs into one unified collection. The output list is of the type MODEL, and it simplifies the management and manipulation of multiple models by consolidating them into a single entity. This output is particularly useful for further processing or analysis within your AI art projects.

ExtendModelList Usage Tips:

  • Ensure that the inputs_len parameter accurately reflects the number of model inputs you are providing. This will prevent any mismatches or errors during the list creation process.
  • Use descriptive names for your model inputs (e.g., model_0, model_1, etc.) to keep track of which models are being combined, especially when working with a large number of models.
  • Utilize the output list for batch processing or analysis tasks that require multiple models to be handled simultaneously, streamlining your workflow and improving efficiency.

ExtendModelList Common Errors and Solutions:

"Input length mismatch"

  • Explanation: This error occurs when the number of model inputs provided does not match the value specified in the inputs_len parameter.
  • Solution: Double-check the inputs_len parameter and ensure it matches the actual number of model inputs you are providing. Adjust the parameter or the inputs accordingly.

"Invalid model type"

  • Explanation: This error occurs when one or more of the model inputs are not of the type MODEL.
  • Solution: Verify that all model inputs are correctly specified and are of the type MODEL. Replace any invalid inputs with the correct model type.

"Missing model input"

  • Explanation: This error occurs when one or more expected model inputs are missing.
  • Solution: Ensure that all model inputs specified by the inputs_len parameter are provided. Add any missing model inputs to match the expected count.

ExtendModelList Related Nodes

Go back to the extension to check out more related nodes.
Bmad Nodes
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