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Transform images into descriptive text prompts for AI artists using advanced AI models, enhancing artistic workflows.
The IF_ImagePrompt node is designed to transform an image into a descriptive text prompt, making it an invaluable tool for AI artists who want to generate creative and detailed textual descriptions from visual inputs. This node leverages advanced AI models to analyze the content of an image and produce a coherent and contextually relevant prompt that can be used for various artistic and creative applications. By converting images into text, it allows for a seamless integration of visual and textual creativity, enhancing the overall artistic workflow. The node is particularly useful for generating prompts that can be further used in text-to-image models, storytelling, or any other creative process that benefits from a detailed description of visual content.
This parameter accepts the image that you want to convert into a text prompt. The image can be provided as a torch.Tensor, a PIL.Image, or a file path to an image file. The type of the image will be automatically detected and processed accordingly. The quality and content of the image will directly impact the generated text prompt.
Specifies the AI engine to be used for generating the text prompt. This parameter determines the underlying model and processing capabilities. The available options depend on the specific implementation and configuration of the node.
Indicates the specific model to be used within the chosen engine. The model selection can affect the style and accuracy of the generated text prompt. Ensure that the selected model is compatible with the chosen engine.
The IP address of the server where the AI engine is hosted. This parameter is necessary for establishing a connection to the server and sending the image data for processing.
The port number on the server where the AI engine is accessible. This works in conjunction with the base_ip to establish a network connection.
A textual prompt that provides initial context or guidance for the AI model. If left empty, a default prompt will be used. This can help steer the generated description in a desired direction.
An optional parameter that allows you to add extra descriptive elements to the generated text. This can enhance the richness and detail of the output.
An optional parameter that specifies the style in which the text prompt should be generated. This can be used to match the description to a particular artistic or narrative style.
An optional parameter that specifies elements to be excluded from the generated text prompt. This helps in refining the output by avoiding unwanted descriptions.
Controls the randomness of the text generation process. A lower value makes the output more deterministic, while a higher value introduces more creativity and variation. Typical values range from 0.5 to 1.5.
Specifies the maximum number of tokens (words or word pieces) in the generated text prompt. This limits the length of the output to ensure it is concise and relevant.
A seed value for random number generation, which ensures reproducibility of the results. Using the same seed will produce the same output for the same input.
A boolean parameter that, when set to true, introduces randomness into the text generation process. This can be useful for generating varied descriptions from the same image.
A boolean parameter that keeps the connection to the AI engine alive for multiple requests. This can improve performance when processing multiple images in succession.
Specifies a profile that contains predefined settings and preferences for the text generation process. This can simplify the configuration by applying a set of predefined parameters.
The initial image prompt or question that was used to generate the description. This helps in understanding the context and basis of the generated text.
The detailed text description generated from the image. This is the main output of the node and can be used for various creative and artistic purposes.
Any negative elements or exclusions specified in the neg_prompt parameter. This helps in understanding what was intentionally left out of the generated description.
<type>
<selected_model>
for engine <engine>
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