Free tutorial: build a Stable Diffusion XL image generator with Bubble (no-code tool)
TLDRThis tutorial guides viewers on creating an AI image generator using Stable Diffusion XL, Excel, and Bubble—a no-code platform for web app development. It covers setting up an API key, connecting to the Stable Diffusion XL API, and building an app interface for input prompts and image results. The focus is on functionality, allowing users to integrate this into their apps and customize for their use cases. The video also touches on Bubble's API connector plugin and handling API calls within workflows, concluding with a live demo of generating images from prompts.
Takeaways
- 😀 This tutorial teaches you to build an AI image generator using Stable Diffusion XL, Excel, and Bubble, a no-code tool for web app development.
- 🔍 You start by creating a developer account on Stability AI to access the API keys necessary for connecting to Stable Diffusion XL.
- 🔑 The API key acts as a password to your account, so it's crucial to keep it confidential and secure.
- 🛠️ The tutorial focuses on the functionality of the app rather than the design, aiming to help you integrate the AI image generator into your own apps.
- 📚 You learn to navigate Stability AI's documentation to understand how to connect to the Stable Diffusion XL API and use it effectively.
- 🔗 The API Connector plugin in Bubble is essential for connecting your app to external services like the Stable Diffusion API.
- 📝 The process involves setting up an API call within Bubble, using the correct headers, body type, and authorization method.
- 🖼️ The 'text to image' function of the Stable Diffusion XL API is utilized to generate images based on user input prompts.
- 💻 The video demonstrates creating a user interface in Bubble for inputting prompts and displaying the generated image.
- 🔄 A custom state is used to store the generated image URL temporarily in the user's browser for display purposes.
- 🔍 Debugging tips are provided to ensure the generated image displays correctly within the app and to handle potential issues.
Q & A
What is the main topic of the video tutorial?
-The main topic of the video tutorial is teaching viewers how to build their own AI image generator using Stable Diffusion XL, Excel, and Bubble, a no-code tool for web app development.
What is Bubble and why is it used in this tutorial?
-Bubble is a no-code tool that allows users to build web apps without knowing how to code. It is used in this tutorial to demonstrate how to create a web app that interfaces with the Stable Diffusion XL API.
What is Stable Diffusion XL and how does it differ from previous versions of Stable Diffusion?
-Stable Diffusion XL is a newer version of the Stable Diffusion AI model. It is more powerful and provides better image generation results than previous versions.
How does one connect to the Stable Diffusion XL API?
-To connect to the Stable Diffusion XL API, one needs to create a developer account on the Stability platform, access API keys from the account page, and use these keys to authenticate API requests within the Bubble app.
What is the purpose of the API connector plugin in Bubble?
-The API connector plugin in Bubble is used to connect the Bubble app to external services, such as the Stable Diffusion API, enabling the app to send and receive data from these services.
What kind of authentication method is used in the tutorial for connecting to the Stable Diffusion XL API?
-The tutorial uses a private key in the header method for authentication, specifically with a Bearer token, which is similar to a password and must be kept secret.
What is the process for generating an image using the Stable Diffusion XL API within the Bubble app?
-The process involves creating an API call within Bubble using the 'text to image' function of the Stable Diffusion XL API, passing a prompt as a parameter, and handling the image data received from the API call.
How does the tutorial handle the display of the generated image in the Bubble app?
-The tutorial uses a custom state to store the URL of the generated image and dynamically displays it in an image element on the app's interface.
What is the role of the 'generate image' button in the app created in the tutorial?
-The 'generate image' button is used to trigger the workflow that sends a prompt to the Stable Diffusion XL API and receives the generated image, which is then displayed in the app.
What additional resources are mentioned for learning more about building AI apps with no-code tools like Bubble?
-The tutorial mentions a course on noodemba.com called 'Building Apps with AI,' which provides more content on how to build AI apps using Bubble and AI APIs.
Outlines
🤖 Building AI Image Generators with Stable Diffusion XL
This paragraph introduces a tutorial on constructing an AI image generator using Stable Diffusion XL, Excel, and Bubble—a no-code tool for web app development. The video will guide viewers from creating a blank app to integrating the Stable Diffusion XL API, a powerful image generation tool. The focus is on functionality rather than design, allowing viewers to adapt the app to their needs. The tutorial also mentions a course on building AI apps for those interested in learning more about integrating AI APIs with no-code platforms.
🔑 API Key Management and Bubble App Setup
The speaker explains the process of obtaining an API key from the Stability platform, emphasizing its importance and the need to keep it secure. They demonstrate how to install the API Connector plugin in Bubble, which is essential for connecting the app to external services like the Stable Diffusion API. The tutorial covers setting up the API connection with correct authentication methods and correcting a mistake regarding the key name from 'authentication' to 'authorization'.
🖼️ Generating Images with Stable Diffusion XL API in Bubble
The paragraph details the steps to generate images using the Stable Diffusion XL API within the Bubble app. It covers selecting the 'text to image' function, copying the CURL sample, and pasting it into Bubble to create an API call. The video shows how to dynamically insert the prompt into the API call using Bubble's interface, ensuring the JSON syntax is correct, and setting the data type to 'image' to receive the generated image.
🛠️ Building the User Interface for Image Generation
This section focuses on creating a user interface in Bubble for inputting prompts and displaying generated images. The tutorial outlines adding elements like text fields, input fields, and buttons within a responsive design using column layouts. It also discusses the importance of setting elements to be visible on page load and using gap spacing for design aesthetics.
🔄 Workflow for Generating and Displaying Images
The paragraph explains the workflow for generating images using the Stable Diffusion XL API. It involves setting up a dynamic prompt input, creating a custom state to store the generated image URL, and using the API call within a workflow. The video demonstrates how to dynamically input the prompt's value, retrieve the image URL, and update the custom state with the image URL. It also addresses a mistake in the URL format and how to correct it for proper display.
🔍 Debugging and Finalizing the Image Display
The final paragraph discusses debugging the image display issue in the Bubble app. The speaker uses the inspector tool to identify that the image element's visibility is not set correctly, causing the image not to display. After correcting the visibility settings, the tutorial shows a successful image generation with a prompt example. It also addresses a lingering spinner issue and adds steps to hide the spinner once the image is loaded, ensuring a smooth user experience.
🎓 Conclusion and Further Learning Opportunities
In conclusion, the video demonstrates the successful integration of the Stable Diffusion XL API with a Bubble app, generating high-quality images based on user prompts. The speaker encourages viewers to explore more about building AI apps with no-code tools by checking out a specific course or following their channel for future content on no-code and AI integration.
Mindmap
Keywords
💡Stable Diffusion XL
💡Bubble
💡API Connector
💡API Key
💡Text to Image
💡Prompt
💡Custom State
💡Workflow
💡Dynamic Values
💡JSON
💡Loading Element
Highlights
Learn how to build an AI image generator using Stable Diffusion XL, Excel, and Bubble, a no-code tool for web app development.
Stable Diffusion XL is a powerful upgrade from previous versions, offering better image generation results.
Connect to the Stability API to leverage Stable Diffusion XL's capabilities without coding expertise.
Create an account on Stability's developer platform to access and manage API keys securely.
Bubble's API Connector plugin is essential for connecting external services like the Stable Diffusion API.
Authentication for the API is set up using a private key method within Bubble's plugin configuration.
Explore the process of generating an image through the API using a text prompt and JSON format.
Dynamic values can be inserted into the API call body using Bubble's interface components.
The API call's data type should be set to 'image' to correctly handle the response from the Stable Diffusion API.
Initialize the API call within Bubble to test and ensure there are no errors in the setup.
Debugging an API call involves checking for errors and ensuring the authorization headers are correctly set.
Building the user interface in Bubble focuses on functionality over styling for a responsive design.
Create a custom state in Bubble to store the generated image URL for display in the app.
Add a loading element to indicate to users that the image generation process is in progress.
Use conditional visibility to control the display of elements based on the state of the generated image.
Workflow actions in Bubble allow you to set the state of elements and show or hide them dynamically.
Debugging in Bubble involves inspecting elements and checking for visibility and data flow issues.
Successfully integrating the Stable Diffusion XL API allows for high-quality image generation with less detailed prompts.
Explore further AI app development with no-code tools and AI APIs through online courses and resources.