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Load specific AI art model checkpoint with switch control for conditional loading based on criteria or user input.
The CheckpointLoaderSimpleWithSwitch node is designed to load a specific checkpoint (model) for use in your AI art projects, with an added feature to enable or disable the loading process through a switch. This node is particularly useful when you want to conditionally load models based on certain criteria or user input, providing flexibility and control over the model loading process. By incorporating a switch, it allows you to streamline workflows and manage resources efficiently, ensuring that models are only loaded when necessary.
This parameter specifies the name of the checkpoint (model) you wish to load. It is a required parameter and must be selected from the list of available checkpoints in your system. The checkpoint name determines which model will be loaded and used in subsequent processes.
This optional parameter is a boolean switch that controls whether the model should be loaded or not. When set to True
, the model specified by ckpt_name
will be loaded. When set to False
, the loading process will be skipped. This switch is useful for conditionally loading models based on specific conditions or user preferences. The default value is True
.
This output represents the loaded model, which is used for denoising latents in your AI art projects. The model is essential for generating high-quality images from latent representations.
This output is the CLIP model used for encoding text prompts. It plays a crucial role in understanding and processing textual descriptions, enabling the generation of images that match the given prompts.
This output is the VAE (Variational Autoencoder) model used for encoding and decoding images to and from latent space. It is vital for transforming images into a format that can be processed by the model and vice versa.
load_model
switch to conditionally load models based on specific criteria, such as user input or workflow requirements, to optimize resource usage.ckpt_name
parameter is correctly set to the desired checkpoint to avoid loading the wrong model.ckpt_name
parameter is correctly set to an existing checkpoint. Check the list of available checkpoints and select the correct one.load_model
parameter is set to an invalid value.load_model
parameter is set to either True
or False
. Check for any typos or incorrect values in the parameter settings.© Copyright 2024 RunComfy. All Rights Reserved.