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Ostris Nodes ComfyUI

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Last updated
2025-04-16

This repository offers a set of custom nodes designed to enhance the ComfyUI experience by improving quality of life (QOL) for users. The collection aims to simplify workflows and provide advanced functionalities as the author becomes more familiar with the ComfyUI API.

  • Custom nodes include a versatile seed generator and a basic text input option.
  • An experimental LLM prompt upsampling feature enhances prompt complexity and detail.
  • Future updates are planned to introduce additional advanced nodes.

Context

This tool consists of a variety of custom nodes specifically created for ComfyUI, a user-friendly interface for Stable Diffusion. Its main goal is to enhance user experience and streamline workflows by providing nodes that cater to specific needs within the ComfyUI environment.

Key Features & Benefits

The primary features include a "One Seed" node that generates seeds in multiple formats, allowing for more flexible input handling. Additionally, the "Text Box" node provides a straightforward way for users to input text, which can be beneficial for various applications within ComfyUI. The LLM prompt upsampling capability takes user prompts and enriches them with additional detail, potentially resulting in more nuanced outputs.

Advanced Functionalities

The LLM prompt upsampling feature is particularly noteworthy as it utilizes a language model to expand prompts into more elaborate versions. Although still in beta and marked as experimental, it shows promise in enhancing the descriptive quality of prompts, making it a valuable tool for users looking to elevate their creative outputs.

Practical Benefits

By integrating these custom nodes, users can significantly enhance their control over the input parameters and the complexity of their prompts. This leads to improved output quality and efficiency in workflows, allowing for a more tailored and effective use of ComfyUI.

Credits/Acknowledgments

The repository is authored by Ostris and builds upon existing work, such as the prompt upsampling techniques from sayakpaul. The project is open source, encouraging contributions and further development from the community.