Create an AI Sticker Generator App Using GPT-4 Vision and DALL·E 3

Table of Contents

1. Introduction
2. Building an AI Sticker Generator App
   1. Using GP4 with Vision and Doll E3
   2. Previous Video Series Tutorial
   3. Building a WhatsApp Sticker M App
   4. Providing Text Prompts to Generate Images
3. Demo of the App in Action
4. Adding Image Input for AI Generation
   1. Using GPT-4 with Vision
   2. Generating Image Descriptions
   3. Generating Images from Text Prompts
5. Setting up the Project
6. Updating the XCA Open AI Client
   1. Supporting GP4 Vision Prom
   2. Specifying Image Details and Token Quota
7. Modifying Helper and U Image Plus Extension
   1. Adding Scale JPG Data Method
   2. Scale and Compress Image Data
8. Creating Enums in the Models.Swift File
   1. GP4 Vision Prom Phase
   2. AI Generate Options
9. Modifying the View Model
   1. Adding Properties and Tasks
   2. Checking Prompt Validity
   3. Prompting GPT-4 Vision
   4. Generating AI Image in Batch
10. Implementing the UI
    1. Adding Segmented Picker for AI Options
    2. Updating Generate Image Section
    3. Displaying GPT-4 Vision UI
11. testing the App

📷 Building an AI Sticker Generator App Using GP4 with Vision and Doll E3

In this article, we will explore how to build an AI sticker generator app using GP4 (GPT-4) with Vision and Doll E3. This project is a continuation of a previous video series tutorial, where we successfully built a WhatsApp sticker app using Apple Vision API and provided text prompts to generate images.

📹 Demo of the App in Action

Before diving into the implementation, let's start with a quick demo of the app. The app allows users to provide either text prompts or images as input for AI generation. In the demo, we will select the GPT-4 with Vision option and generate multiple images in one batch.

💡 Adding Image Input for AI Generation

To enhance the app's functionality, we will add a feature where users can provide images as input for AI generation. We will utilize GPT-4 with Vision to process the image and generate a detailed description as text. This text will then be used to prompt Doll E3 to generate an image based on the description.

🛠 Setting up the Project

To begin, navigate to the project repository and clone or download the starter project. This project includes the necessary files and dependencies for building the AI sticker generator app.

🔄 Updating the XCA Open AI Client

Next, update the XCA Open AI client to support GP4 Vision Prom. This will enable the app to communicate with the GPT-4 model and receive the image description. Update the spm Package to include the necessary methods for image data and details.

✏ Modifying Helper and U Image Plus Extension

In the Helper and U Image Plus extensions, we will add a new method called scaleJpgData to resize and compress image data. This method will be used to prepare the image input for GPT-4 with Vision.

📚 Creating Enums in the Models.Swift File

To manage the different phases and options of AI generation, we will create two enums. The GP4VisionPromPhase enum will represent the current phase of AI generation, while the AIGenerateOptions enum will represent the available options for AI generation.

🖥 Modifying the View Model

In the view model, we will add properties and tasks to handle AI generation. We will check the validity of prompts, determine if GPT-4 Vision is prompting, and implement the generation of AI images in batch.

🎨 Implementing the UI

In the user interface, we will create a segmented picker for selecting the AI generation option. We will update the generate image section to display the appropriate UI based on the selected option. Additionally, we will disable certain UI elements when GPT-4 Vision is prompting to ensure a smooth user experience.

✔ Testing the App

Finally, we will test the app on a physical device with neural engine support to utilize Apple Vision background image removal. We'll generate AI images based on text prompts and GPT-4 Vision input to ensure the app functions correctly and produces high-quality stickers.

By following the steps outlined in this article, you will be able to build an AI sticker generator app that leverages GP4 with Vision and Doll E3. This app will allow users to create custom stickers by providing text prompts or images as input. Have fun experimenting with AI generation and exploring the possibilities of GPT-4!

⭐ Highlights

• Build an AI sticker generator app using GP4 with Vision and Doll E3
• Provide text prompts or images as input for AI generation
• Utilize GPT-4 with Vision to generate detailed descriptions from images
• Use Doll E3 to generate images based on AI-generated text prompts
• Test the app on a physical device with neural engine support for optimal performance

FAQs

Q: Can I use my own images as input for AI generation? A: Yes, with the newly added feature, you can now select images from your device's photo library to generate AI images based on GPT-4 Vision.

Q: Can I generate multiple images in one batch? A: Absolutely! The app allows you to generate multiple images in one batch by selecting the desired quantity.

Q: How long does it take to generate an AI image from a text prompt? A: The generation time depends on various factors, including the complexity of the prompt and the current server load. Generally, it should take a few seconds to generate an AI image.

Q: Can I export the generated images as WhatsApp stickers? A: Yes, just like in the previous video series tutorial, you can export the generated images as a sticker pack and use them in WhatsApp.

Q: Is there a limit to the number of images I can generate in one batch? A: The number of images you can generate in one batch may be limited by factors such as server capacity and API quota. It's best to check the API documentation for any restrictions.

Q: Is the AI-generated image quality affected by the prompt text or source image input? A: Yes, the quality of the AI-generated image can be influenced by the prompt text or source image input. Providing detailed and specific prompts or high-quality images can result in better image generation.

Resources:

• Apple Vision API Documentation
• OpenAI Vision Model Documentation