A custom node designed for ComfyUI, this tool enables users to select a foundational resolution and apply a precise scaling factor, accommodating up to ten decimal places. It also allows the addition of an integer value, providing outputs in both integer and floating-point formats for enhanced flexibility.
- Facilitates the selection of base resolutions tailored to specific project needs.
- Supports custom scaling values with high precision, allowing for detailed adjustments.
- Generates outputs in both integer and floating-point formats, enhancing versatility in usage.
Context
This tool serves as a specialized node within ComfyUI, aimed at improving the resolution management process during image generation. Its primary purpose is to provide users with the ability to finely tune the resolution settings, making it a valuable asset for artists and developers working with AI-generated visuals.
Key Features & Benefits
The tool's key feature is its ability to set a base resolution while allowing users to apply a custom scaling factor with high precision, which is crucial for projects requiring specific detail levels. Additionally, by providing outputs in both integer and floating-point formats, it offers flexibility that can cater to various project requirements, enhancing the overall creative process.
Advanced Functionalities
One of the advanced capabilities of this node is its support for scaling values that can extend to ten decimal places. This level of precision is particularly beneficial for users who need to make subtle adjustments to their image resolutions, allowing for an unprecedented level of control over the final output.
Practical Benefits
By integrating this tool into their workflow, users can significantly enhance their control over resolution settings, which can lead to improved image quality and efficiency in the creative process. The ability to manipulate both integer and floating-point resolutions allows artists to experiment more freely, resulting in a more streamlined workflow and better overall outcomes in their projects.
Credits/Acknowledgments
This tool is developed by the DiffusionWave team, and it is shared under an open-source license, allowing for community contributions and enhancements.