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Node generating descriptive text from images using visual language models via Qwen-VL API for AI artists.
QWenVL_API_S_Zho is a node designed to generate descriptive text based on an input image using advanced visual language models. This node leverages the capabilities of the Qwen-VL API to interpret and describe visual content, making it a powerful tool for AI artists who want to add meaningful descriptions to their visual creations. By providing an image and a prompt, you can generate detailed and contextually relevant text that enhances the storytelling aspect of your artwork. This node is particularly useful for creating captions, generating alt text for accessibility, or simply adding a narrative layer to your visual projects.
The image
parameter is the primary input for the node, where you provide the visual content that you want to be described. This parameter accepts an image tensor, which is then processed and converted into a format suitable for the Qwen-VL API. The quality and content of the image directly impact the generated description, so ensure that the image is clear and relevant to the prompt.
The prompt
parameter is a string input that guides the description generation process. By default, it is set to "Describe this image" and supports multiline text. This allows you to customize the type of description you want, whether it's a simple caption, a detailed narrative, or specific information about the image. The prompt helps the model focus on particular aspects of the image, making the output more relevant to your needs.
The model_name
parameter allows you to select the specific model variant to use for generating the description. The available options are "qwen-vl-plus" and "qwen-vl-max". Each model has its own strengths, with "qwen-vl-plus" being suitable for general purposes and "qwen-vl-max" offering more advanced capabilities for complex descriptions. Choose the model that best fits your requirements.
The seed
parameter is an integer that sets the random seed for the generation process. This allows you to control the randomness of the output, ensuring reproducibility of the results. The default value is 0, and it can range from 0 to 0xffffffffffffffff. By setting a specific seed, you can generate consistent descriptions for the same input image and prompt.
The text
parameter is the output of the node, providing the generated description as a string. This text is the result of processing the input image and prompt through the selected model. The output can be used directly in your projects, whether it's for adding captions, creating alt text, or any other application where descriptive text is needed. The quality and relevance of the text depend on the input parameters and the model used.
seed
parameter to control the randomness of the output, ensuring consistent results for the same input.qwen-vl-plus
or qwen-vl-max
) based on the complexity and detail required in the description.© Copyright 2024 RunComfy. All Rights Reserved.