ToModelList¶
Documentation¶
- Class name:
ToModelList - Category:
Bmad/Lists/Make or Intercalate - Output node:
False
The ToModelList node is designed to aggregate multiple model-related inputs into a single list. This functionality is essential for operations that require handling a collection of models simultaneously, such as batch processing or model comparison tasks. It abstracts away the complexity of managing multiple inputs by providing a streamlined way to group them together.
Input types¶
Required¶
inputs_len- Specifies the number of model inputs to be aggregated into the list. This parameter determines the size of the resulting list and plays a crucial role in the node's execution by dictating how many model inputs will be considered.
- Comfy dtype:
INT - Python dtype:
int
Output types¶
model- Comfy dtype:
MODEL - The output is a list containing the aggregated model inputs. This list facilitates operations that need to process multiple models in a unified manner, enhancing flexibility and efficiency in handling model collections.
- Python dtype:
List[torch.nn.Module]
- Comfy dtype:
Usage tips¶
- Infra type:
CPU - Common nodes: unknown