Upscale Machine: High-quality model-based image upscaling with aspect-ratio preserving rescale.
Prompt Machine: Easy prompt selection from a CSV for positive/negative prompt workflows.
Touchpad Pan & Zoom: Seamless navigation for large images in the ComfyUI preview panel.

🧩 Node Features

Model-based Upscaling: Uses custom or pre-trained models from the upscale_models folder.
Aspect Ratio Preserving Rescale: Output size is always original size × rescale factor.
CPU-based Rescaling: Efficient resizing using OpenCV.
Supersampling: Optional detail preservation for downscaling/fractional resizing.
Rounding Modulus: Ensures output dimensions align with model/UI constraints.
Dual Output: Returns both the processed image and a help/documentation link.

CSV-based Prompt Selection: Select prompt sets from a CSV file (prompts.csv).
Positive/Negative Output: Outputs both positive and negative prompts as strings.
Easy Integration: Designed for use in prompt-driven workflows.

Preview Navigation: Enables smooth pan and zoom for large images in the ComfyUI preview panel.
User Experience: Makes inspecting high-res outputs fast and intuitive.

📦 Installation

Clone or download this repository into your ComfyUI custom_nodes directory:
```
git clone https://github.com/SatadalAI/SATA_UtilityNode.git
```
(Optional) Install dependencies if not already present:
```
pip install -r requirements.txt
```
Restart ComfyUI.

Name	Type	Description
`image`	IMAGE	Input image tensor
`upscale_model`	STRING	Model filename from `upscale_models` folder
`rescale_factor`	FLOAT	Scaling factor (aspect ratio preserved)
`supersample`	STRING	`"true"` or `"false"`
`rounding_modulus`	INT	Ensures dimensions are divisible by this value

Outputs:

Name	Type	Description
`IMAGE`	IMAGE	The upscaled and resized image
`show_help`	STRING	Link to documentation/help

Name	Type	Description
`selection`	STRING	Prompt set name from CSV

Outputs:

Name	Type	Description
`positive`	STRING	Positive prompt
`negative`	STRING	Negative prompt