Free tutorial: build a Stable Diffusion XL image generator with Bubble (no-code tool)
TLDRThis tutorial demonstrates how to build an AI image generator using Stable Diffusion XL and Bubble, a no-code tool. It guides viewers through setting up an account, connecting to the API, and creating a simple app that generates images from text prompts. The focus is on functionality, allowing users to integrate this into their own applications.
Takeaways
- 😀 Learn to build an AI image generator using Stable Diffusion XL, Excel, and Bubble, a no-code tool.
- 🔍 Start by creating a developer account on the Stability platform and accessing your API keys.
- 🔑 Generate an API key for connecting your Bubble app to Stable Diffusion XL.
- 📚 Visit the documentation to understand how to connect to the Stable Diffusion XL API.
- 💡 Install the API connector plugin in Bubble to connect to external services like the Stable Diffusion API.
- 🔗 Set up the API connection in Bubble using the 'Authorization' key name and your API key.
- 🖼️ Use the 'text to image' function from the Stable Diffusion XL API to generate images based on prompts.
- 📝 Create a user interface in Bubble with a prompt input and a button to generate the image.
- 🖌️ Design a responsive layout using column containers to ensure the app works on all screen sizes.
- 🔍 Debug any issues by checking the API call setup and ensuring the image URL is correctly formatted.
- 🎓 For more in-depth learning, consider taking a course on building apps with AI and no-code tools like Bubble.
Q & A
What is the main topic of the video?
-The main topic of the video is how to build an AI image generator using Stable Diffusion XL and Bubble, a no-code tool for building web apps.
What is Bubble and how is it used in the video?
-Bubble is a no-code tool that allows users to build web apps without knowing how to code. In the video, it is used to connect to the Stability API and build an app that generates images based on text prompts.
What is Stable Diffusion XL and how does it differ from previous versions of Stable Diffusion?
-Stable Diffusion XL is a newer version of Stable Diffusion, which is more powerful and provides better results than previous versions. It is used in the video to generate high-quality images from text prompts.
How does one connect to the Stability API in the video?
-To connect to the Stability API, one needs to create a developer account on the Stability platform, access API keys from the account page, and then use these keys to authenticate the connection in 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 Stability API, allowing the app to interact with these services and perform tasks like image generation.
How does the video guide the user to build a simple app with a prompt and an image result?
-The video guides the user through the process of setting up an API connection in Bubble, creating a user interface with input fields and buttons, and configuring a workflow to generate an image based on the user's text prompt.
What is the significance of the 'text to image' function in the Stability API?
-The 'text to image' function in the Stability API is used to generate images based on text descriptions provided by the user. This is the core functionality demonstrated in the video for creating AI-generated images.
How does the video handle the authentication process for the Stability API?
-The video demonstrates creating an API key on the Stability platform and then configuring the API connector in Bubble to use this key for authentication, typically in the format 'Bearer
'. What is the role of the 'generated image' custom state in the Bubble app?
-The 'generated image' custom state in the Bubble app is used to store the URL of the generated image. This allows the app to display the image to the user and manage its visibility based on the app's workflow.
How does the video address potential issues with the image not displaying in the app?
-The video suggests checking the visibility settings of the image element and ensuring that the custom state storing the image URL is correctly set and retrieved. It also highlights the importance of debugging by inspecting elements and checking the workflow steps.
Outlines
🤖 Building AI Image Generator with Stable Diffusion XL
This paragraph introduces the video's focus on teaching viewers how to create an AI image generator using Stable Diffusion XL, Excel, and Bubble, a no-code tool for building web apps. The tutorial will guide from a blank app to a functional one, connecting to the Stability API for Stable Diffusion XL, which is a more powerful version of Stable Diffusion. The emphasis is on functionality rather than design, allowing viewers to integrate this into their own apps and learn the process of building an app with AI.
🔑 Accessing the Stability API and Setting Up Bubble
The speaker explains the process of creating a developer account on the Stability platform and accessing API keys, which are crucial for connecting the Bubble app to Stable Diffusion. They guide through the steps of navigating the Stability documentation, creating an API key, and setting up the API connector plugin in Bubble. The paragraph also covers the initial setup of an API call in Bubble, including authentication using the Bearer token and preparing the API call body with dynamic values for user input.
🖼️ Generating Images with Stable Diffusion XL in Bubble
This section delves into the specifics of generating images using the Stable Diffusion XL API within the Bubble app. The speaker demonstrates how to use the 'text to image' function of the API, copying the CURL sample from the documentation to create an API call in Bubble. They also discuss the importance of maintaining valid JSON syntax and dynamically inserting user prompts into the API call. The paragraph concludes with the successful initialization of the API call, generating a test image.
📝 Designing the User Interface for Image Generation
The focus shifts to building the user interface in Bubble, starting with a new page dedicated to Stable Diffusion XL. The speaker guides through setting up a column layout, adding a container for inputs and outputs, and creating a text element for user prompts. They also detail the process of adding an input field and a button for generating images, emphasizing the importance of responsive design and proper layout settings in Bubble.
🔍 Implementing Dynamic Image Display and Workflow
This paragraph covers the implementation of dynamic image display in the Bubble app. The speaker explains how to create a custom state to store the generated image URL and how to display this image dynamically on the app's interface. They also detail the workflow for the 'Generate Image' button, including setting up the API call action, dynamically inputting the user's prompt, and handling the image URL response. The paragraph concludes with a discussion on the importance of modifying the URL format for proper display.
⚙️ Adding Loading Elements and Debugging the Workflow
The speaker introduces the addition of a loading element to indicate image generation progress in the app. They guide through setting up a spinner icon that shows when the image is being loaded and hides once the image URL is set. The paragraph also covers debugging the workflow, identifying issues with the visibility of elements and ensuring the image displays correctly after generation. The speaker demonstrates how to inspect elements and troubleshoot common issues in the Bubble app.
🚀 Finalizing the App and Encouraging Further Learning
In the final paragraph, the speaker wraps up the tutorial by testing the app with different prompts and showcasing the generated images. They highlight the improved quality of images from Stable Diffusion XL compared to earlier models and encourage viewers to experiment with more detailed prompts. The speaker also promotes further learning through a course on building apps with AI, offering resources for those interested in integrating AI APIs into their projects.
Mindmap
Keywords
💡Stable Diffusion XL
💡Bubble
💡API Key
💡Text to Image
💡API Connector
💡Authentication
💡Prompt
💡Custom State
💡Workflow
💡Spinner
Highlights
This video teaches how to build an AI image generator using Stable Diffusion XL, Excel, and Bubble.
Stable Diffusion XL is a more powerful version of Stable Diffusion, providing better image generation results.
Bubble is a no-code tool that enables the creation of web apps without coding knowledge.
The tutorial covers connecting to the Stability API to access Stable Diffusion XL.
Creating an account on the Stability platform and accessing API keys is the first step.
The API key is crucial for connecting the Bubble app to Stable Diffusion and should be kept secret.
Installing the API connector plugin in Bubble is necessary for connecting to external services like the Stability API.
The tutorial demonstrates setting up an API connection in Bubble using the 'stability AI demo' API.
Authentication for the API is set up using a 'Bearer' token with the API key.
The 'text to image' function of the Stability API is used to generate images from text prompts.
Dynamic values in Bubble can be used to input the text prompt for the image generation.
The generated image is handled as an image data type in Bubble.
The tutorial shows how to build a user interface in Bubble for inputting prompts and displaying image results.
Creating a custom state in Bubble to store the generated image URL is demonstrated.
The workflow for the 'generate image' button includes an API call to Stability AI and setting the custom state with the image URL.
Debugging steps are provided in case the generated image does not display correctly in the app.
The tutorial concludes with a discussion on the quality of images generated by Stable Diffusion XL compared to earlier models.
Further learning resources on building AI apps with Bubble and other APIs are mentioned.