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

개발동생
20 Jan 202415:02

TLDRThe video script outlines a creative process of combining ChatGPT and Stable Diffusion to generate prompts for image creation. The creator shares their experience in using GPT-4 to develop a chatbot that writes prompts for Stable Diffusion, an image-generating AI. They guide viewers through the process of creating the chatbot, including setting up configurations, uploading a guidebook, and utilizing the chatbot to generate prompts. The video also demonstrates how to refine prompts based on user satisfaction with the generated images, emphasizing the ease and productivity of using GPT to streamline the image creation process.

Takeaways

  • 🤖 The video discusses the combination of ChatGPT and Stable Diffusion for image generation, showcasing a new approach to creative tasks.
  • 📝 The presenter creates a chatbot using GPT-4 to generate prompts for Stable Diffusion, simplifying the image creation process.
  • 🚀 GPT-4's capabilities are leveraged to produce prompts in both English and Korean, expanding its usability to a broader audience.
  • 📚 A guidebook on Stable Diffusion prompt engineering is mentioned, which the creator has prepared to share with the audience for learning purposes.
  • 🎨 The video demonstrates the process of creating a GPT app, including setting up the app's name, description, logo, and capabilities.
  • 📌 The importance of the 'Instructions' section in configuring the GPT app is highlighted, as it dictates the quality of the app's responses.
  • 💡 The presenter emphasizes the efficiency of using GPT for prompt generation, reducing the complexity and headache associated with manual prompt creation.
  • 🌐 The GPT app is published and made available for everyone to use, showcasing the ease of sharing and distributing GPT applications.
  • 💼 The potential for GPT apps to become a source of revenue in the future is mentioned, encouraging creators to explore this new market opportunity.
  • 🔍 The video includes a search demonstration within the GPT store to validate the successful publication of the newly created app.
  • 🎥 The presenter's experience and the app creation process serve as an educational example for viewers to follow and inspire their own GPT app development.

Q & A

  • What is the main concept of the video?

    -The main concept of the video is to demonstrate the combination of ChatGPT and Stable Diffusion for generating image creation prompts and using them to create images.

  • How does the presenter plan to use ChatGPT and Stable Diffusion together?

    -The presenter plans to use ChatGPT to create prompts for Stable Diffusion, which will then be used to generate images.

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

    -The guidebook is prepared to help GPT learn about Stable Diffusion and how to write effective prompts for image generation.

  • What capabilities are initially disabled in the GPT app creation process?

    -Web browsing and DALL-E image generation capabilities are initially disabled in the GPT app creation process.

  • How does the presenter upload the guidebook to the GPT app?

    -The presenter uploads the guidebook by clicking the 'Upload Files' button and selecting the PDF file containing the guidebook.

  • What is the role of the 'Instructions' section in the GPT app creation?

    -The 'Instructions' section defines how the GPT app will operate and how it will utilize the uploaded guidebook to learn about Stable Diffusion and prompt creation.

  • What is the purpose of the 'Conversation Starters'?

    -The 'Conversation Starters' provide examples of how users can interact with the GPT app to generate prompts for image creation.

  • How does the presenter demonstrate the effectiveness of the GPT app?

    -The presenter demonstrates the effectiveness of the GPT app by using it to generate prompts for various image creation scenarios and showing the resulting images.

  • What is the final step for the presenter to make the GPT app available to others?

    -The final step is to publish the GPT app to the GPT store by saving the app, setting the category to 'Productivity', and making it accessible to everyone.

  • What potential future benefit does the presenter mention regarding GPT apps?

    -The presenter mentions that in the future, it may be possible to monetize GPT apps, so those with ideas to solve problems could consider creating and publishing their own GPT apps.

  • How does the presenter suggest viewers enhance their understanding of the process?

    -The presenter suggests that viewers enhance their understanding by following along with the guidebook and trying to create their own GPT app for image prompt generation.

Outlines

00:00

🤖 Introducing GPT and Stable Diffusion Integration

The paragraph introduces the concept of combining ChatGPT and Stable Diffusion, two powerful tools, to create a new experience. The speaker explains their plan to use ChatGPT to generate prompts for image creation and then use Stable Diffusion to generate images based on those prompts. They also mention the creation of a chatbot using GPT-4 and the intention to share a guidebook with the audience to facilitate the process. The speaker emphasizes the capabilities of GPT-4 and its training data up to April 2023, highlighting the importance of understanding Stable Diffusion and prompt engineering.

05:01

📚 Guidebook for Stable Diffusion Prompts

This paragraph delves into the guidebook prepared by the speaker to simplify the process of learning GPT for creating Stable Diffusion prompts. The guidebook, spanning about three pages, covers the basics of Stable Diffusion, the engineering of prompts, language choices, and word selection. The speaker offers to share this guidebook with the audience, encouraging them to follow along and create their own prompts using the provided information. The process of creating a GPT app that generates Stable Diffusion prompts is also discussed, including the steps to create and configure the GPT instance.

10:02

🚀 Creating and Publishing a GPT App

The final paragraph focuses on the practical application of the concepts discussed earlier. The speaker demonstrates the creation of a GPT app that generates prompts for Stable Diffusion, walking through the process of uploading files, setting capabilities, and defining the app's functionality. They also show how to create instructions and conversation starters for the app, providing examples of prompts and user interactions. The speaker then proceeds to test the app by generating prompts for various scenarios and adjusting them based on preferences. Finally, they publish the app, making it available for everyone to use, and encourage the audience to explore the potential of GPT apps for productivity and creativity.

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 used to create a chatbot that assists in generating prompts for Stable Diffusion, an image generation model.

💡Stable Diffusion

Stable Diffusion is an AI system used for generating images from textual descriptions. It is a type of deep learning model that can take a prompt and produce a visual representation of it. In the video, Stable Diffusion is the primary tool for creating images based on the prompts written by the ChatGPT-generated chatbot.

💡Prompt Engineering

Prompt engineering refers to the process of crafting effective textual prompts that guide AI models like Stable Diffusion to produce desired outputs. It involves selecting the right words, phrasing, and structure to communicate the intended image or concept to the AI.

💡GPT Store

The GPT Store is a hypothetical marketplace or platform where users can find and use various applications powered by the GPT model. It suggests a space for sharing and utilizing diverse AI-driven tools and services.

💡AI Integration

AI Integration refers to the process of combining different AI technologies or models to enhance their functionalities or achieve new outcomes. In the video, AI integration is demonstrated by using ChatGPT to generate prompts for Stable Diffusion, creating a seamless workflow between two AI systems.

💡Image Generation

Image generation is the process of creating visual content using AI models, like Stable Diffusion, based on textual descriptions or prompts. It involves transforming language into pixels to produce new images.

💡Prompt Guidebook

A prompt guidebook is a resource or manual that provides instructions and guidelines on how to effectively write prompts for AI models, specifically for image generation tasks. It helps users understand the best practices for crafting prompts that yield desired results.

💡Productivity App

A productivity app is a software tool designed to help users complete tasks more efficiently, often by automating certain processes or providing organizational features. In the video, the chatbot created with ChatGPT is considered a productivity app as it streamlines the process of generating image prompts for Stable Diffusion.

💡AI-Generated Content

AI-Generated Content refers to any material, such as text, images, or videos, that is created or produced by artificial intelligence systems without human intervention. The video focuses on AI-generated images, which are created by Stable Diffusion based on prompts from ChatGPT.

💡App Development

App development is the process of creating and programming applications for various platforms, such as mobile devices, computers, or in this case, AI platforms like the GPT Store. It involves designing, coding, and testing the app to ensure it functions as intended.

💡AI Collaboration

AI collaboration refers to the combined effort of multiple AI systems working together to achieve a common goal. In the video, AI collaboration is exemplified by the partnership between ChatGPT and Stable Diffusion, where one generates text prompts and the other creates images based on those prompts.

Highlights

Combining ChatGPT and Stable Diffusion can enhance the creative process by generating prompts for image creation.

The video demonstrates the process of creating a chatbot using GPT-4 that can generate prompts for Stable Diffusion image generation.

GPT-4's knowledge is up-to-date until April 2023, making it a reliable source for information on Stable Diffusion and prompt engineering.

A guidebook is prepared to share with the audience to help them understand Stable Diffusion and how to write effective prompts.

The guidebook covers various aspects of prompt engineering, including language usage, length, and word selection.

A new GPT app is created to generate Stable Diffusion prompts, leveraging the GPTs feature and custom configuration.

The app is named 'SD Prompt Generator' and is designed to produce both English and Korean prompts.

The app's logo is created using DALL-E, showcasing the integration of different AI tools.

Capabilities such as web browsing and DALL-E image generation are disabled to focus on prompt generation.

A PDF guidebook on Stable Diffusion prompt engineering is uploaded to teach the GPT app about prompt creation and Stable Diffusion's workings.

Instructions are carefully crafted in markdown format to guide the GPT app's responses and ensure quality.

Conversation Starters are provided to give users examples of how to interact with the GPT app and generate prompts.

The app is tested by generating prompts for various themes, such as a 1950s-style space poster and a SimCity-style building illustration.

Users can request adjustments to the generated prompts if the resulting images do not meet their expectations.

The app's response template is designed to provide users with clear and actionable prompts for image generation.

The process of creating and publishing the GPT app is simplified, making it accessible for users to develop their own applications.

The GPT app is published for everyone to use, demonstrating the potential for community-driven innovation in AI applications.

The video encourages viewers to create their own GPT apps to solve problems and potentially generate revenue in the emerging market.

The presenter shares their GPT app on the GPT store, allowing others to find and use it for Stable Diffusion image generation.