(2024) ChatGPT+Stable Diffusion: 프롬프트 작성 너무 쉽습니다. 미친 조합이에요!

개발동생
20 Jan 202415:02

TLDRThe video script introduces a novel approach to leveraging the power of ChatGPT and Stable Diffusion for image generation. The creator demonstrates how to use ChatGPT to craft prompts for Stable Diffusion, simplifying the process of image creation. A step-by-step guide is provided, including the creation of a GPT app that generates prompts, the uploading of a guidebook for Stable Diffusion, and the utilization of GPT's capabilities to refine prompts based on user feedback. The video culminates in the successful creation and deployment of a GPT app, showcasing the potential of combining AI tools to enhance productivity and creativity.

Takeaways

  • 🤖 The video discusses the combination of ChatGPT and Stable Diffusion to create a chatbot that generates prompts for image creation.
  • 📝 The process involves using GPT-4 to create a chatbot that understands Stable Diffusion and can write prompts based on provided guidelines.
  • 📚 A guidebook with three pages was prepared to teach GPT about Stable Diffusion, prompt engineering, and best practices.
  • 🖼️ The chatbot can generate both English and Korean prompts for Stable Diffusion, making it versatile for different users.
  • 🎨 The video demonstrates the creation of a GPT app using the 'Explore GPTs' feature and the 'Configure' option to customize the chatbot.
  • 🌐 The chatbot was trained by uploading a PDF file containing information about Stable Diffusion and prompt guidelines.
  • 📝 The chatbot's functionality was tested by creating prompts for various image concepts, such as a 1950s-style space poster and a SimCity-style building illustration.
  • 🔄 The process of refining prompts and generating images was shown, highlighting the iterative nature of working with Stable Diffusion.
  • 🚀 The video concludes with the chatbot being published on the GPT store for everyone to use, emphasizing the ease of creating and sharing GPT apps.
  • 💡 The presenter suggests that with the growing market for GPT apps, there is potential for monetization in the near future.
  • 🌟 The video encourages viewers to explore creating their own GPT apps to solve problems and capitalize on the emerging market opportunity.

Q & A

  • What is the main concept discussed in the script?

    -The script discusses the combination of ChatGPT and Stable Diffusion to create an application that generates prompts for image creation using Stable Diffusion.

  • How does the speaker plan to utilize ChatGPT for image generation?

    -The speaker plans to use ChatGPT to write prompts for image generation that will be used as a basis by Stable Diffusion to create images.

  • What is the purpose of the guidebook prepared by the speaker?

    -The guidebook is prepared to help GPT understand Stable Diffusion and learn how to write effective prompts for image generation, including tips on language use, prompt length, and word selection.

  • What is the role of the 'GPTs' feature in the creation process?

    -The 'GPTs' feature allows the user to create a custom GPT application by configuring it with specific settings, capabilities, and instructions tailored to the task of generating Stable Diffusion prompts.

  • How does the speaker plan to share the guidebook with the audience?

    -The speaker plans to share the guidebook by uploading it as a PDF file, allowing the GPT application to read and learn from it, thus understanding how Stable Diffusion works and how to craft effective prompts.

  • What are the capabilities that the speaker decides to disable for the GPT application?

    -The speaker decides to disable web browsing and DALL-E image generation capabilities for the GPT application, focusing solely on prompt generation for Stable Diffusion.

  • How does the speaker enhance the GPT application's functionality with the uploaded guidebook?

    -By uploading the guidebook, the GPT application learns about Stable Diffusion and prompt engineering, enabling it to generate more accurate and effective prompts for image creation.

  • What is the significance of the 'Instructions' section in the GPT application creation process?

    -The 'Instructions' section is crucial as it outlines how the GPT application should operate and interact with users, directly influencing the quality and relevance of the responses it provides.

  • How does the speaker demonstrate the application of the GPT application?

    -The speaker demonstrates the application by using it to generate prompts for various image concepts, such as a 1950s-style poster of space and a SimCity-style building illustration, and then using those prompts to create actual images with Stable Diffusion.

  • What is the final step the speaker takes to make the GPT application accessible to others?

    -The final step is publishing the GPT application to the GPT store by saving it, setting the visibility to 'Everyone', and categorizing it under 'Productivity', making it available for anyone to use.

  • What potential future benefit does the speaker mention regarding GPT applications?

    -The speaker mentions that in the near future, it may be possible to monetize GPT applications, suggesting that those with ideas that can solve problems in the market should consider creating and publishing their own GPT applications.

Outlines

00:00

🤖 Combining AI Tools for Image Generation

The paragraph discusses the innovative idea of combining two AI tools, ChatGPT and Stable Diffusion, to create a new application. The speaker explains that they will use ChatGPT to generate prompts for image creation and then use Stable Diffusion to produce the images based on those prompts. They introduce a guidebook prepared to teach GPT about Stable Diffusion and prompt engineering, emphasizing the potential of this combination to streamline the image generation process.

05:01

📚 Guidebook for Prompt Engineering

This section delves into the guidebook created for teaching GPT about Stable Diffusion and prompt engineering. The speaker describes the guidebook's content, which includes explanations of Stable Diffusion, the language to use for prompt engineering, and how to select words and determine the length of prompts. The guidebook is intended to help users understand how to write effective prompts and improve the quality of AI-generated responses.

10:02

🛠️ Creating and Publishing a GPT Application

The speaker demonstrates the process of creating a GPT application that generates Stable Diffusion prompts. They walk through the steps of configuring the GPT application, uploading the guidebook, and setting up the application's capabilities. The paragraph also covers the process of testing the application by creating prompts for various image ideas and adjusting them based on user feedback. Finally, the speaker publishes the GPT application, making it available for everyone to use, and encourages others to create their own GPT applications to solve problems and potentially generate revenue in the future.

Mindmap

Keywords

💡ChatGPT

ChatGPT is an AI language model developed by OpenAI, known for its ability to generate human-like text based on the prompts given to it. In the context of the video, ChatGPT is utilized to create a chatbot that assists in generating prompts for Stable Diffusion, an image generation AI model.

💡Stable Diffusion

Stable Diffusion is an AI system capable of generating images from textual descriptions, known as prompts. It is used in the video to create visual content based on the prompts crafted with the help of ChatGPT.

💡Prompt Engineering

Prompt engineering refers to the process of crafting effective textual prompts that guide AI models like Stable Diffusion to generate desired outputs. It involves selecting appropriate language, length, and specific terms to achieve the best results.

💡GPT Store

The GPT Store is a marketplace or platform where users can find and use various applications powered by the GPT model. In the video, the creator plans to upload their chatbot application to the GPT Store for others to use.

💡AI Integration

AI Integration refers to the process of combining different AI systems or models to enhance their capabilities or achieve new functionalities. In the video, AI Integration is demonstrated by using ChatGPT to generate prompts for Stable Diffusion.

💡Image Generation

Image generation is the process of creating visual content using AI models, like Stable Diffusion, based on textual descriptions or prompts. It is a key aspect of the video, where the integration of ChatGPT and Stable Diffusion leads to the generation of images.

💡Guidebook

A guidebook is a resource that provides instructions or information on a particular subject. In the video, the guidebook prepared for ChatGPT contains information on Stable Diffusion, prompt engineering, and the process of creating effective image generation prompts.

💡App Creation

App creation refers to the process of designing and developing a software application. In the video, the creator discusses the steps involved in creating an app that uses ChatGPT to generate prompts for Stable Diffusion.

💡Productivity

Productivity refers to the efficiency and effectiveness with which tasks are completed or goals are achieved. In the video, the app created is categorized under productivity, as it aims to streamline the process of image generation and prompt creation.

💡Publishing

Publishing involves making content or creations available to the public. In the video, the creator discusses the steps to publish their AI-powered app on the GPT Store, allowing others to access and use it.

Highlights

Introduction to combining ChatGPT and Stable Diffusion for creative image generation.

The concept of using ChatGPT to write prompts for Stable Diffusion, enhancing the creative process.

Announcement of a new GPT 4 based chatbot for generating Stable Diffusion prompts.

Mention of GPT 4's knowledge cut-off date, emphasizing the model's current knowledge limitations.

Introduction of a guidebook prepared for training GPT in prompt engineering for Stable Diffusion.

Exploration of GPTs feature on the platform to create specialized applications.

The process of creating a new GPT application for Stable Diffusion prompt generation.

Using DALL-E to generate a logo for the new GPT application.

Adjustments to the application's capabilities and settings, highlighting customization options.

The role of uploaded files in enhancing GPT's understanding and functionality.

The importance of writing clear instructions to improve the quality of GPT's output.

Introduction of conversation starters to guide users on how to interact with the application.

The application process to deploy the GPT app, making it accessible to everyone.

Real-world example of generating an image prompt for a 1950s space-themed poster.

The iterative process of refining image prompts based on generated image feedback.

Highlighting the ease of creating personalized GPT apps and their potential for monetization.

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