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genai_image_analysis's Introduction

README.md

Overview

This repository contains a collection of Streamlit applications demonstrating various image manipulation tasks using Amazon Titan Image Generator. Each application showcases different capabilities such as background replacement, image extension, object insertion, image masking, image generation, image replacement, image search, image understanding, and image variation.

Setup

  1. Install necessary libraries:
    pip install -r requirements.txt

Applications

1. Image Background

This application allows users to change the background of an image using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_background_app.py
```

2. Image Extension

This application allows users to extend an image by generating additional content around the original image using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_extension_app.py
```

3. Image Insertion

This application allows users to insert new objects into an image using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_insertion_app.py
```

4. Image Masking

This application allows users to mask parts of an image and generate new content either by inpainting or outpainting using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_masking_app.py
```

5. Image Generation

This application allows users to generate images based on text prompts using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_generation_app.py
```

6. Image Replacement

This application allows users to remove or replace objects in an image using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_replacement_app.py
```

7. Image Search

This application allows users to search for images based on a search term or find similar images using Amazon Titan Embed Image model and FAISS for indexing and searching.

Run the application:

```bash
streamlit run image_search_app.py
```

8. Image Understanding

This application allows users to understand the content of an image through various prompt options using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_understanding_app.py
```

9. Image Variation

This application allows users to create variations of an image using Amazon Titan Image Generator.

Run the application:

```bash
streamlit run image_variation_app.py
```

Each application is designed to demonstrate the potential of Amazon Titan Image Generator in handling different image manipulation tasks, providing an interactive user interface for diverse use cases. Feel free to explore each application and see how they can be applied to your specific needs.

genai_image_analysis's People

Contributors

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