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Leverages OpenAI GPT-4 Vision for image analysis and interpretation, providing detailed textual descriptions and insights for image understanding.
The NegiTools_OpenAiGpt4v node is designed to leverage the capabilities of OpenAI's GPT-4 Vision model to analyze and interpret images. This node allows you to input an image and receive a detailed textual description or analysis based on the model's understanding. It is particularly useful for tasks that require image recognition, content description, or any application where understanding the content of an image is crucial. By utilizing advanced AI, this node can provide insights and detailed descriptions that can enhance your projects, making it a powerful tool for AI artists and developers looking to integrate sophisticated image analysis into their workflows.
This parameter accepts an image file that you want to analyze. The image serves as the primary input for the GPT-4 Vision model to process and generate a description or analysis.
The seed parameter is an integer value used to initialize the random number generator, ensuring reproducibility of results. It ranges from 0 to 0xffffffffffffffff, with a default value of 0. Adjusting the seed can help in generating consistent outputs for the same input image.
This parameter specifies the version of the GPT-4 Vision model to use. Available options include "gpt-4o", "gpt-4o-mini", "gpt-4-turbo", and "gpt-4-vision-preview", with "gpt-4o" set as the default. Choosing different models can affect the detail and accuracy of the image analysis.
The detail parameter determines the level of detail in the generated description. Options include "auto", "low", and "high". Selecting a higher detail level can provide more comprehensive and nuanced descriptions, while lower levels may offer more general insights.
This integer parameter sets the maximum number of tokens (words or word pieces) in the generated output. It ranges from 16 to 4096, with a default value of 512. Increasing the max_tokens value allows for longer and more detailed descriptions, while a lower value restricts the output length.
The prompt parameter is a string that sets the initial context or question for the model to answer about the image. It supports multiline input and defaults to "Whatβs in this image?". Customizing the prompt can guide the model to focus on specific aspects of the image or provide answers to particular questions.
The output is a string that contains the textual description or analysis of the input image generated by the GPT-4 Vision model. This output provides detailed insights into the content of the image, which can be used for various applications such as content creation, image tagging, or enhancing user interfaces with descriptive text.
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