A specialized node for ComfyUI, ComfyUI_UploadToWebHook enables users to transmit generated images or videos directly to an HTTP webhook, allowing for the inclusion of optional metadata like prompt_id and other relevant data. This tool streamlines the process of sending media outputs, making it easier to integrate with other applications or services.
- Allows for the upload of single images or video clips to a specified webhook URL.
- Supports the inclusion of metadata such as
prompt_idand customizable JSON data. - Offers a toggle feature to control whether files are saved permanently or temporarily.
Context
ComfyUI_UploadToWebHook is a custom node designed for the ComfyUI framework, facilitating the direct transfer of visual media to an HTTP webhook. Its primary purpose is to enhance the workflow for users who need to send generated content along with relevant contextual information to external services.
Key Features & Benefits
This tool provides practical functionalities that are essential for efficient media handling. Users can easily upload images or videos, ensuring that they can send both the media and associated metadata seamlessly. The ability to include prompt_id and other JSON data enhances the usability of the tool, allowing for more organized data management and integration with other systems.
Advanced Functionalities
ComfyUI_UploadToWebHook accepts image tensor inputs directly from ComfyUI's image nodes, making it highly compatible with existing workflows. The optional save toggle allows users to choose whether to keep the uploaded files permanently or discard them after sending, offering flexibility based on project needs.
Practical Benefits
By incorporating this tool into their workflow, users can significantly enhance their control over media outputs and associated data. The direct upload capability reduces the steps required to share generated content, improving efficiency and enabling smoother integration with web services or applications that utilize webhooks.
Credits/Acknowledgments
This project is developed by jerrywap and is available under the MIT License, allowing for collaborative contributions and modifications. Users are encouraged to participate by submitting pull requests or sharing feature ideas.