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Generates descriptive text from image URL and prompt using Gemini generative model for AI artists.
The Gemini_API_S_Vsion_ImgURL_Zho
node is designed to generate descriptive content based on an image URL and a given prompt. This node leverages the capabilities of the Gemini generative model to interpret and describe images, making it a powerful tool for AI artists who want to create detailed narratives or descriptions from visual inputs. By providing an image URL and a prompt, you can obtain a coherent and contextually relevant text output that describes the image or responds to the prompt in relation to the image. This node is particularly useful for tasks that require a combination of visual and textual data processing, such as creating detailed image captions, generating story elements from visual cues, or enhancing the descriptive content of visual art.
The prompt
parameter is a string input that serves as the initial text or question you want the model to respond to in relation to the provided image. This prompt guides the generative model in creating a relevant and contextually appropriate description or narrative. There is no strict minimum or maximum length for the prompt, but it should be clear and concise to ensure the model can generate accurate content.
The image_url
parameter is a string input that specifies the URL of the image you want to analyze. The node will fetch the image from this URL and use it in conjunction with the prompt to generate the content. It is crucial that the URL is accessible and points to a valid image file. If the URL is incorrect or the image cannot be loaded, the node will not function properly.
The model_name
parameter allows you to select the specific generative model to use for content generation. The available options are gemini-pro-vision
and gemini-1.5-pro-latest
. Each model may have different capabilities and performance characteristics, so you can choose the one that best fits your needs. This parameter does not have a default value and must be explicitly set.
The stream
parameter is a boolean input that determines whether the content generation should be streamed. If set to True
, the model will generate content in chunks and stream it, which can be useful for longer or more complex descriptions. If set to False
, the model will generate the content in a single response. The default value for this parameter is False
.
The text
output parameter is a string that contains the generated content based on the provided prompt and image. This output is the result of the generative model's interpretation of the image and the prompt, and it can be used for various purposes such as creating image captions, generating descriptive narratives, or enhancing visual art with textual elements. The text output is designed to be coherent and contextually relevant to the input parameters.
image_url
is correct and points to a valid image file to avoid errors in content generation.model_name
options to find the one that best suits your specific needs and provides the most satisfactory results.stream
parameter for longer or more complex descriptions to receive content in manageable chunks.image_url
is correct and accessible. Check your network connection and ensure the URL points to a valid image file.model_name
parameter is set to one of the supported options: gemini-pro-vision
or gemini-1.5-pro-latest
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