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Configure agents with Google AI models for prompt and image tasks, enhancing creativity and functionality.
The Griptape Agent Config: Google node is designed to configure agents using Google's models for prompt and image query tasks. This node allows you to leverage Google's advanced AI models to generate prompts and images, providing a robust and flexible configuration for various creative and functional applications. By utilizing this node, you can customize the behavior of your agent to suit specific needs, such as adjusting the temperature for more creative or deterministic outputs. This node is particularly beneficial for AI artists and developers looking to integrate Google's powerful AI capabilities into their workflows seamlessly.
This parameter specifies the Google model to be used for generating prompts. The model you choose will significantly impact the quality and style of the generated prompts. The available options are predefined Google models, and the default model is the first one in the list. Selecting the appropriate model can enhance the relevance and creativity of the prompts generated by the agent.
The temperature parameter controls the randomness of the model's output. A lower temperature will make the output more deterministic and focused, while a higher temperature will introduce more randomness and creativity. This parameter allows you to fine-tune the balance between creativity and coherence in the generated prompts. The typical range for temperature is between 0.0 and 1.0, with a default value that ensures a balanced output.
The seed parameter is used to initialize the random number generator, ensuring reproducibility of the results. By setting a specific seed value, you can generate the same output consistently, which is useful for debugging and fine-tuning your configurations. If not specified, the seed will be randomly generated, leading to different outputs on each run.
This optional parameter allows you to specify a driver for image generation tasks. By default, a dummy image generation driver is used, but you can replace it with a more sophisticated driver to enhance the quality and relevance of the generated images. This parameter is particularly useful for tasks that require both text and image outputs, ensuring a cohesive and integrated result.
The custom_config output parameter provides the configured Google structure, which includes the prompt driver and the image generation driver. This configuration is essential for the agent to function correctly, as it defines the models and settings used for generating prompts and images. The custom_config ensures that the agent operates with the specified parameters, delivering consistent and expected results.
prompt_model
options to find the one that best suits your creative needs. Each model has unique characteristics that can influence the style and quality of the generated prompts.temperature
parameter to control the balance between creativity and coherence. For more structured outputs, use a lower temperature, and for more creative outputs, increase the temperature.seed
parameter to ensure reproducibility of your results. This is particularly useful when you need to generate consistent outputs for testing or production purposes.image_generation_driver
to improve the quality and relevance of the generated images.© Copyright 2024 RunComfy. All Rights Reserved.