README.md

metadata

title: Text2Autochrome demo
emoji: 🖼
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.0.2
app_file: app.py
pinned: false
short_description: A tool to generate authentic autochrome images from text.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Digitized autochrome restoration using synthetic data only

Given a green-tinted autochrome image, the algorithm identifies the damaged areas and fixes them while preserving the underlying image features.

Setup

• Tested with Windows 11 -> WSL2 -> Docker
• Host: GPU 4090 RTX | Driver Version: 566.24| CUDA Version: 12.7
• Docker version 27.2.1, build 9e34c9b

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. This will start the interactive Hugging Face demo but in a container.

How to install and run

1. Build the docker image with sh build_docker.sh
2. Start the container by sh start_docker.sh
3. To test the demo connect to the container
4. Go to cd /workspace
5. Run the interactive demo python3 demo.py