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Facilitates loading TinyBreaker checkpoints for AI artists, simplifying workflow integration and enhancing creative projects.
The LoadTinyBreakerCkpt
node is designed to facilitate the loading of TinyBreaker checkpoints, which are essential for leveraging the capabilities of the TinyBreaker model. This model is a hybrid that combines the strengths of PixArt and SD, making it a powerful tool for AI artists looking to experiment with and enhance their creative projects. The node's primary function is to seamlessly integrate these checkpoints into your workflow, allowing you to utilize the model's advanced features without needing extensive technical knowledge. By using this node, you can ensure that your creative process is both efficient and effective, as it simplifies the complex task of managing model checkpoints.
The VAE Type parameter allows you to select the type of Variational Autoencoder (VAE) to be used with the TinyBreaker model. This choice impacts the quality and speed of the model's output. The available options are auto
, fast
, and high_quality
. Selecting auto
lets the system decide the best VAE type based on the context, fast
prioritizes speed over quality, and high_quality
focuses on delivering the best possible output quality, albeit at a slower processing speed. This parameter is crucial for balancing performance and output quality according to your specific needs.
The Model output parameter provides the loaded TinyBreaker model, ready for use in your creative projects. This output is essential as it represents the core functionality of the node, enabling you to apply the model's capabilities to generate or enhance artistic content. The Model output is the result of successfully loading the checkpoint, and it serves as the foundation for any subsequent operations or transformations you wish to perform.
fast
VAE Type when working on projects where speed is more critical than output quality.high_quality
VAE Type, but be prepared for longer processing times.TINYBREAKER_CHECKPOINTS_DIR
and that the file name is spelled correctly.auto
, fast
, or high_quality
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