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Enhance AI art with specific style prompts for conditioning prompts, supporting reproducibility and base/refiner conditioning.
The Style Conditioner node is designed to enhance your AI-generated art by applying specific styles to your conditioning prompts. This node allows you to seamlessly integrate predefined or custom styles into your positive and negative conditioning prompts, thereby influencing the final output of your AI model. By leveraging the power of style prompts, you can achieve a more refined and targeted artistic expression. The node supports the use of seeds to ensure reproducibility and can handle both base and refiner conditioning, making it a versatile tool for AI artists looking to add a unique touch to their creations.
This parameter specifies the style to be applied to the conditioning prompts. It can be a predefined style from the styles.json file or a custom style added by the user. The style influences the positive and negative prompts, thereby affecting the final output of the AI model.
The strength parameter determines how strongly the selected style will influence the conditioning prompts. A higher strength value means a stronger influence of the style on the final output. The value can range from 0 to 1, with 1 being the maximum strength.
This parameter represents the base positive conditioning prompt before the style is applied. It serves as the initial input that will be modified by the selected style.
This parameter represents the base negative conditioning prompt before the style is applied. It serves as the initial input that will be modified by the selected style.
This parameter represents the refiner positive conditioning prompt before the style is applied. It is used for more detailed and refined conditioning.
This parameter represents the refiner negative conditioning prompt before the style is applied. It is used for more detailed and refined conditioning.
The base_clip parameter is used to encode the base conditioning prompts. It is essential for the initial encoding process before the style is applied.
The refiner_clip parameter is used to encode the refiner conditioning prompts. It is essential for the detailed encoding process before the style is applied.
This boolean parameter determines whether a seed should be used for reproducibility. If set to 'true', the seed will influence the selection of the style.
The seed parameter is used to ensure reproducibility when applying styles. It affects the selection of the style when use_seed is set to 'true'.
This output parameter represents the modified base positive conditioning prompt after the style has been applied. It is used as an input for further processing in the AI model.
This output parameter represents the modified base negative conditioning prompt after the style has been applied. It is used as an input for further processing in the AI model.
This output parameter represents the modified refiner positive conditioning prompt after the style has been applied. It is used for more detailed and refined conditioning in the AI model.
This output parameter represents the modified refiner negative conditioning prompt after the style has been applied. It is used for more detailed and refined conditioning in the AI model.
This output parameter returns the style that was applied to the conditioning prompts. It can be useful for tracking and debugging purposes.
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