ComfyUI Node: Ollama Vision

Ollama Vision:

OllamaVision is a powerful node designed to integrate image processing with AI-driven query generation. This node allows you to input a batch of images and a textual query, which it then processes to generate a response based on the provided model. The primary goal of OllamaVision is to facilitate the seamless interaction between visual data and AI models, enabling you to extract meaningful insights or generate creative outputs from your images. By converting images to a base64 format and sending them along with a query to a specified model, OllamaVision leverages advanced AI capabilities to produce relevant and context-aware responses. This node is particularly beneficial for AI artists looking to enhance their creative workflows by combining visual and textual elements in a cohesive manner.

Ollama Vision Input Parameters:

images

This parameter accepts a batch of images that you want to process. The images are converted to base64 format before being sent to the AI model. The quality and content of these images directly impact the generated response, so ensure that the images are clear and relevant to your query.

query

The textual query you provide here will be used by the AI model to generate a response based on the input images. This query should be concise and relevant to the images to get the most accurate and meaningful output.

debug

This parameter enables or disables debug mode. When set to "enable," it prints detailed information about the request and response, which can be useful for troubleshooting. The default value is "disable."

url

The URL of the server hosting the AI model. This is where the images and query will be sent for processing. Ensure that the URL is correct and accessible to avoid connection issues.

model

Specifies the AI model to be used for generating the response. Different models may produce different types of responses, so choose one that best fits your needs.

keep_alive

This parameter sets the duration for which the connection to the server should be kept alive, specified in minutes. This can help in maintaining a persistent connection for multiple requests. The default value is typically set to a reasonable duration to balance performance and resource usage.

Ollama Vision Output Parameters:

response

The response parameter contains the output generated by the AI model based on the input images and query. This output is usually a string that provides insights, descriptions, or creative content related to the input data. The quality and relevance of the response depend on the input parameters and the chosen model.

Ollama Vision Usage Tips:

• Ensure that your images are clear and relevant to the query to get the most accurate and meaningful responses.
• Use the debug mode to troubleshoot any issues by setting the debug parameter to "enable."
• Choose the AI model that best fits your needs, as different models may produce different types of responses.
• Set an appropriate keep_alive duration to maintain a persistent connection for multiple requests without overloading the server.

Ollama Vision Common Errors and Solutions:

ConnectionError

• Explanation: This error occurs when the node is unable to connect to the specified URL.
• Solution: Verify that the URL is correct and that the server is accessible. Check your internet connection and firewall settings.

InvalidImageFormat

• Explanation: This error occurs when the input images are not in a supported format.
• Solution: Ensure that the images are in a valid format such as PNG or JPEG before inputting them into the node.

ModelNotFoundError

• Explanation: This error occurs when the specified model is not found on the server.
• Solution: Verify that the model name is correct and that it is available on the server. Check for any typos in the model parameter.

TimeoutError

• Explanation: This error occurs when the request to the server times out.
• Solution: Increase the keep_alive duration or check the server's performance and load. Ensure that the server is not overloaded and is capable of handling the request in a timely manner.