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. The video demonstrates setting up an API key from Stability API, constructing an app interface, and implementing functionality to generate images from text prompts. It also covers debugging tips and emphasizes the importance of responsive design, providing a practical approach to integrating AI APIs into web applications.
Takeaways
- ๐ Learn to build an AI image generator using Stable Diffusion XL, Excel, and Bubble, a no-code tool for web app creation.
- ๐ Create a developer account on Stability AI to access and manage API keys, which are crucial for connecting to the Stable Diffusion XL API.
- ๐ Go through the documentation to understand how to authenticate and connect to the Stable Diffusion XL API using the API key.
- ๐ ๏ธ Install the API Connector plugin in Bubble to connect your app to external services like the Stable Diffusion API.
- ๐ Set up the API connection in Bubble with the correct authentication method and key values for successful integration.
- ๐ผ๏ธ Understand the process of generating an image through the API by sending a prompt and receiving an image in return.
- ๐ป Build a simple user interface in Bubble with input for prompts and displaying the resulting image from Stable Diffusion XL.
- ๐ Focus on functionality over design when creating the app to ensure ease of use and integration with the AI API.
- ๐ Know the importance of setting the correct data type for the API response, such as 'image', to handle the output correctly in Bubble.
- ๐ Implement a workflow in Bubble that includes initializing the API call, handling the dynamic input of prompts, and setting the state with the generated image URL.
- ๐ Debugging is an essential part of the process; use Bubble's tools to inspect elements and troubleshoot issues in the app.
Q & A
What is the main topic of the video tutorial?
-The main topic of the video tutorial is how to build your own AI image generator using Stable Diffusion XL, Excel, and Bubble, which is a no-code tool for building web apps.
What is Bubble and how does it relate to the tutorial?
-Bubble is a no-code tool that allows users to build web apps without knowing how to code. The tutorial uses Bubble to demonstrate how to connect and build an app with the Stable Diffusion XL API.
What is Stable Diffusion XL and how does it differ from previous versions?
-Stable Diffusion XL is a newer and more powerful version of Stable Diffusion that provides better results than its predecessors. It is used in the tutorial for generating AI images.
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 in the Bubble app to authenticate the connection.
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 interact with and utilize these services.
What is the significance of the 'text to image' function in the context of the tutorial?
-The 'text to image' function is significant as it is the method used to generate images from text prompts within the Stable Diffusion XL API, which is the core functionality demonstrated in the tutorial.
How does the tutorial handle the dynamic input of the user's prompt into the app?
-The tutorial uses dynamic values in Bubble to input the user's prompt into the API call. This allows the app to change the text prompt dynamically as users interact with the app.
What is the role of the 'generate image' button in the app created in the tutorial?
-The 'generate image' button in the app initiates the workflow to send the user's prompt to the Stable Diffusion XL API and retrieve the generated image, which is then displayed in the app.
How does the tutorial address the storage of the generated image?
-The tutorial creates a custom state within the Bubble app to store the URL of the generated image. This approach allows the image to be displayed in the user's browser without saving it to a database.
What is the importance of the loading element in the app during the image generation process?
-The loading element, such as a spinner, is important as it provides user feedback that the image is being generated, indicating that the process is underway and enhancing the user experience.
What additional resources are offered for learning more about building AI apps with no-code tools?
-For those interested in learning more, the tutorial suggests checking out the 'Building Apps with AI' course on nocode.mba, which offers more content on how to build AI apps using Bubble and AI APIs.
Outlines
๐ Building an AI Image Generator with Stable Diffusion XL
This paragraph introduces the video's aim to teach viewers how to create an AI image generator using Stable Diffusion XL, Excel, and Bubbleโa no-code tool for web app development. The tutorial will guide from setting up a blank app to connecting with the Stable Diffusion XL API, which is a more powerful version of Stable Diffusion offering superior results. The focus is on functionality rather than design, allowing viewers to adapt the app to their needs. It also mentions the 'Building Apps with AI' course for further learning on integrating AI APIs with Bubble.
๐ API Key Setup and Bubble App Initialization
The speaker details the process of obtaining an API key from the Stability platform, emphasizing its importance akin to a password. They demonstrate how to install the API Connector plugin in Bubble, which is essential for connecting to external services like the Stable Diffusion API. The tutorial covers setting up an API call within Bubble, including authentication with the 'Authorization' header and the use of placeholders for dynamic values such as the image prompt.
๐ผ๏ธ Generating Images with Stable Diffusion XL API
This section explains how to use the Stable Diffusion XL API to generate images from text prompts. The video script includes instructions on navigating the API documentation to find the correct URL and parameters for the API call. It also discusses the importance of maintaining the correct JSON syntax for the API body and how to dynamically input the user's prompt into the API call within Bubble.
๐ Designing the User Interface for Image Generation
The focus shifts to designing a user interface in Bubble, starting with a blank page and adding elements such as text prompts, input fields, and buttons. The tutorial explains how to create a responsive column layout and how to use group elements to organize the interface. It also covers setting properties for elements like width, height, and alignment to ensure the design adapts to different screen sizes.
๐ Workflow for Image Generation and Display
The paragraph outlines the workflow for generating an image when the user clicks the 'Generate Image' button. It details how to set up a workflow in Bubble that triggers the Stable Diffusion XL API call, dynamically inputs the user's prompt, and handles the API response. The workflow includes initializing the API call, capturing the generated image URL, and updating the custom state of the page to display the image.
๐ Debugging and Finalizing the Image Display
The speaker encounters an issue where the generated image does not display as expected. They use the Bubble inspector to troubleshoot, discovering that the image's height is set to zero, causing it to be invisible. After correcting the visibility settings for the group output element, the image becomes visible. The paragraph also addresses a lingering spinner issue, which is resolved by adding a workflow action to hide the spinner once the image URL is set.
๐ Conclusion and Further Learning Opportunities
The video concludes with a successful demonstration of the AI image generator's functionality. The speaker reflects on the improved quality of images produced by Stable Diffusion XL compared to previous models and encourages viewers to experiment with different prompts. They also promote a course on no-code MBA for those interested in learning more about building AI apps with no-code tools and APIs.
Mindmap
Keywords
๐กStable Diffusion XL
๐กBubble
๐กAPI Connector
๐กAuthentication
๐กText to Image
๐กCustom State
๐กWorkflow
๐กDynamic Data
๐กPrompt
๐กNo-code
Highlights
Learn to build an AI image generator using Stable Diffusion, Excel, and Bubble, a no-code tool for web app creation.
Connect to the Stability API to leverage the power of Stable Diffusion XL for better image generation results.
Discover how to create a simple app with a prompt and image result focusing on functionality rather than design.
Explore the process of building an app from scratch and extending it for various use cases.
Get started with creating a developer account on Stability and accessing API keys for app integration.
Understand the importance of keeping API keys secure as they act as passwords to your account.
Learn to install the API Connector plugin in Bubble to connect external services like Stable Diffusion API.
Follow the steps to set up API authentication using the 'Authorization' key and your API key.
Create an API call in Bubble using the 'text to image' function of the Stable Diffusion XL API.
Ensure the API call body is in valid JSON format to successfully receive an image response.
Use dynamic values in Bubble to input prompts and generate images based on user input.
Debug API connection issues by checking the authorization header and other setup details.
Build the user interface for entering prompts and displaying image results in the Bubble app.
Create a custom state in Bubble to store the generated image without saving it to a database.
Design the front-end layout with responsiveness in mind, using column layouts and dynamic elements.
Implement a workflow in Bubble that triggers the Stable Diffusion XL API call and handles the image response.
Add a loading element to provide user feedback during the image generation process.
Debug issues with image display by inspecting element visibility and URL formatting in Bubble.
Finalize the app by ensuring the spinner disappears once the image is successfully loaded and displayed.
Explore advanced uses of Stable Diffusion XL with less detailed prompts for potentially better results.
Interested in learning more about building AI apps? Check out the Building Apps with AI course for in-depth knowledge.