DeepFX Studio

Welcome to DeepFX Studio! This AI-powered toolkit provides a suite of advanced image editing features powered by cutting-edge deep learning techniques. From enhancing image quality to creative transformations, DeepFX Studio is designed to be a comprehensive solution for all your image processing needs.

🚀 Features

DeepFX Studio offers the following capabilities:

1. Neural Style Transfer

   • Apply artistic styles to your images, transforming them into visually stunning artwork inspired by famous artists and styles.

2. Colorization of Black-and-White Images

   • Bring old photos to life by adding realistic color to black-and-white images.

3. Background Removal

   • Easily separate the subject from the background for further editing or creative purposes.

4. Image Super-Resolution (Enhance Image Quality)

   • Upscale low-resolution images to high-definition, preserving important details and clarity.

5. Cartoonization

   • Turn photos into cartoon-like images, giving a fun and artistic twist to your pictures.

6. Image Inpainting (Object Removal)

   • Effortlessly remove unwanted objects and reconstruct missing areas in images.

7. Age Progression and Regression

   • Simulate aging effects to see younger or older versions of the person in the image.

8. Image Denoising

   • Reduce noise in images, enhancing clarity and making them appear cleaner.

9. Auto-Background Blur (Portrait Mode)

   • Create a soft bokeh effect on the background, enhancing the subject's focus.

10. Photo Restoration (Black & White to Color)

    • Restore old or damaged photos, adding color and clarity for a refreshed look.

11. HDR Effect (High Dynamic Range)

    • Enhance images with a high dynamic range for more vivid colors and rich details.

12. AI-Powered Image Captioning

    • Automatically generate descriptive captions for images, adding context and meaning.

📅 Project Status

Development Start Date: October 26, 2024
Stay tuned for progress updates as we work on implementing and refining each feature!

💻Local development

To run the example project:

1. create a virtual enviroment and activate it

2. Install dependencies via pip:

   pip install -r requirements.txt

3. Run development server:

   python manage.py runserver

4. using which npm or `where npm' to local your npm (it is different for windows and linux)

5. Open two separate terminal and run python manage.py tailwind start in one teminal and python manage.py runserver in other terminal

. Open http://localhost:8000 in a browser. You should see the main page.

Docker setup

1. Build containers via docker-compose:

   docker compose build

2. Start containers:

   docker compose up

3. Open http://localhost:8000 in a browser. You should see the login page and sign up only

📬 Contact

For questions or support, please reach out to us via GitHub Issues.