You can efficiently utilize GPT-4 Vision (GPT4V) to annotate images by filling in the necessary API key and URL. This tool is a personal adaptation of the GPT4V-Image-Captioner project, enhancing its functionality within the ComfyUI environment.
- Enables seamless integration with GPT4V for image recognition and labeling.
- Automates image processing to streamline workflows without manual adjustments.
- Offers customizable labeling options, including seed values and exclusion of specific terms.
Context
This tool serves as an extension for ComfyUI, designed to facilitate the integration of the GPT4V model for automatic image annotation. It allows users to quickly and efficiently generate descriptive labels for images, enhancing the overall functionality of AI-driven art workflows.
Key Features & Benefits
The primary feature of this tool is its ability to automate image processing, which removes the need for users to manually scale images. Additionally, it provides a straightforward method to connect with the GPT4V API by entering the required key and URL, making it accessible for users to annotate images effortlessly. The tool also supports different prompt types and weighted labels, allowing for tailored outputs that meet specific user needs.
Advanced Functionalities
This extension includes advanced options such as seed value management, which helps maintain consistency in labeling results. Users can modify the seed to generate varied outputs if the initial results are unsatisfactory. Furthermore, the tool allows for the exclusion of unwanted words from labels, providing greater control over the annotation process.
Practical Benefits
By integrating this tool into their workflows, ComfyUI users can significantly enhance their image annotation efficiency, gaining better control over the labeling process and improving the quality of outputs. The automation of image processing and the customizable labeling options contribute to a more streamlined and effective workflow, ultimately saving time and effort.
Credits/Acknowledgments
This project is based on the original work of the authors of the GPT4V-Image-Captioner repository, with acknowledgments to their contributions and efforts.