# upscale-qt

Small PyQt6 app to upscale an image with an ESRGAN model through `sd-cli` (stable-diffusion.cpp). A local vision model suggests which upscaler fits the image, a slider wipe compares before and after, and the result can be saved as a new file or written over the original.

## Requirements

- Python 3
- PyQt6
- `sd-cli` from stable-diffusion.cpp, plus one or more ESRGAN upscaler models in a folder
- Optional: `llama-mtmd-cli` from llama.cpp and the imajev model with its mmproj, for upscaler suggestions

## Usage

    ./upscale-qt [image]

## License

Copyright (C) 2026 Danilo M. <danix@danix.xyz>

GPLv2 only. See [LICENSE](LICENSE) for the full text.

## Development Approach

This project is developed using AI-assisted tools. Code is generated with the help of AI based on human-provided specifications, design decisions, and iterative feedback.

All contributions are reviewed, tested, and curated by the maintainer before being included in the codebase. AI is used as a productivity and exploration tool, while human oversight remains central to all decisions.

The goal is to combine the flexibility of AI-assisted development with standard open-source practices such as transparency, review, and accountability.