Visit ComfyUI Online for ready-to-use ComfyUI environment
Node for post-processing images with Florence2 model, refining output quality and providing additional data for analysis.
Florence2Postprocess is a node designed to handle the post-processing of images using the Florence2 model. This node takes an image and processes it according to a specified task and optional text input, leveraging the capabilities of the Florence2 model and its processor. The primary goal of this node is to refine and enhance the output image, ensuring it meets the desired specifications and quality. It also provides additional information such as bounding boxes or polygons and labels, which can be useful for further analysis or processing. This node is essential for AI artists looking to fine-tune their generated images and extract meaningful data from them.
This parameter expects a dictionary containing the Florence2 model, processor, version, and device information. It is crucial for the node to function correctly as it provides the necessary components for image processing. The model and processor are used to apply the specified task to the image, while the version and device ensure compatibility and optimal performance.
This parameter takes an image that you want to process. The image should be in a format compatible with the Florence2 model, typically a tensor. The quality and resolution of the input image can significantly impact the results, so it is advisable to use high-quality images for better outcomes.
This parameter specifies the task to be performed on the image. It can be one of several predefined options, each corresponding to a different type of image processing or analysis. The task determines how the model and processor will handle the image, affecting the final output. The default value is the first option in the TASK_OPTIONS list.
This optional parameter allows you to provide additional text input that can influence the processing of the image. Depending on the task, this text input can be used to guide the model in generating more accurate or contextually relevant results. If not needed, this parameter can be left empty.
This output parameter provides the processed image. The image is returned as a tensor, which can be further used or displayed. The processed image reflects the enhancements and modifications applied by the Florence2 model based on the specified task and optional text input.
This output parameter returns a string representation of the results. It typically includes information about the processing task, such as bounding boxes, labels, or other relevant data. This string can be useful for logging, debugging, or further analysis.
This output parameter provides detailed results in a structured format, such as bounding boxes or polygons along with their labels. This information is crucial for tasks that involve object detection, segmentation, or other forms of image analysis. The results include the dimensions of the original image to ensure accurate interpretation.
© Copyright 2024 RunComfy. All Rights Reserved.