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Load base model from local checkpoint file for InstantID pipeline, seamless integration for AI art generation.
The IDBaseModelLoader_local
node is designed to load a base model for the InstantID pipeline from a local checkpoint file. This node is particularly useful for AI artists who prefer to work with models stored on their local machines rather than downloading them from external sources. By leveraging this node, you can seamlessly integrate your locally stored models into the InstantID pipeline, ensuring a smooth and efficient workflow. The primary function of this node is to load the specified model checkpoint and prepare it for use with the controlnet, enabling you to generate high-quality, personalized AI art with ease.
This parameter specifies the name of the checkpoint file you wish to load. It is crucial as it tells the node which model to load from your local storage. The ckpt_name
should be a valid filename within the "checkpoints" directory. If this parameter is not provided, the node will raise a ValueError. The available options for this parameter are dynamically generated from the filenames in the "checkpoints" directory.
This parameter represents the controlnet model that will be used in conjunction with the loaded base model. The controlnet model helps in refining and controlling the output of the base model, ensuring that the generated art meets your specific requirements. This parameter must be a valid controlnet model.
The output of this node is a pipeline object, referred to as pipe
. This pipeline is an instance of the StableDiffusionXLInstantIDPipeline
class, which has been initialized with the specified base model and controlnet. The pipe
is ready to be used for generating AI art, providing a seamless integration of your local model with the controlnet for high-quality results.
ckpt_name
parameter is correctly specified and that the corresponding checkpoint file exists in the "checkpoints" directory to avoid errors.ckpt_name
parameter is not provided.ckpt_name
parameter with a valid checkpoint filename from the "checkpoints" directory.<ckpt_path>
not found.ckpt_name
parameter is correct and that the corresponding file is present in the "checkpoints" directory. If the file is missing, ensure it is correctly placed in the directory.© Copyright 2024 RunComfy. All Rights Reserved.