Text to Image
Text to Image - User Guide
Description: This tool generates AI-powered images from text. Based on the provided text inputs, the AI produces appropriate visuals and delivers the corresponding output.
Usage Steps:
Text Input:
In the "Text 1" field, enter the description, request, or concept for the image you wish to create.
Initiate the Process:
The text you entered is sent to the AI model in the background, initiating the image creation process.
Retrieve the Output:
Once processing is complete, the generated images will be accessible via the "output_list" state.
You can use this output list to view the created images or incorporate them into other workflows.
Note:
Filling out the input fields correctly is essential for ensuring the quality of the resulting images.
If you encounter errors during the process, verify that your input data is accurate and that your internet connection is stable.
Detailed Setup
Follow the detailed configuration steps provided in the documentation to integrate and configure the Text to Image functionality properly in your application.
Detailed installation
At this stage, two different tokens are required for the plugin to function correctly. The first token is the Aicado Access Token. You can obtain your Aicado Access Token by following these steps:
Log in to the Aicado AI website.
Navigate to the Profile or Settings section.
Copy the “Aicado Access Token” that appears.
After completing these steps, you can move on to acquiring the second token.
At this stage, two different tokens are required for the plugin to function correctly. The first token is the Aicado Access Token. You can obtain your Aicado Access Token by following these steps:
Log in to the Aicado AI website.
Navigate to the Profile or Settings section.
Copy the “Aicado Access Token” that appears.
After completing these steps, you can move on to acquiring the second token.
Then, paste the copied Aicado Access Token into the corresponding Access Token section within your application and save it. This step is necessary to authorize the plugin.
In the next step, you need to fill in the "your_api_token" field. Follow these instructions:
In your application editor, go to the Settings section.
Enter the API tab.
You will see an option or button labeled “Generate a new API Token.”
Click this button, then copy the generated API Token.
Finally, paste the copied value into the "your_api_token" field within the plugin.
This will complete all the required tokens for the plugin.
Then we add a button and create a workflow for this button.
Properties Area and Usage
This section contains the essential information required for the application to operate. You can select the "Text to Image" AI model from the AI Model tab and enter the appropriate data. For this model, use the text1 field.
Webhook (Callback) Settings
To process responses from the AI model, you need to define a “webhook response.” This setup requires the root URL of the Workflow API. Follow these steps to obtain the URL:
Navigate to Settings > API.
On the API page, take the displayed root URL and append the event name you created previously in Backend Workflows.
For instance, if your event name is “get-response”, the resulting URL might look like:
With this configuration, the data from the AI model is transmitted via the defined webhook to your backend workflow, allowing your application to execute the necessary operations.
Adding “Aicado AI Connector” to the Button Workflow
Adding an Action to the Workflow
Open the workflow screen for the button you previously created.
Click the “Click here to add an action” link and select the Aicado AI Connector action from the list.
Defining the Model and Mandatory Fields
AI Model:
Choose the AI model you wish to use from the dropdown list. For this case, select Text to Image.
Response Webhook URL:
This must be in the format:
This URL points to the get-response workflow you set up in your backend.
Model Customization Fields for Text to Image:
Fill in the following field:
text1
Save and Test
Once all fields are properly filled, save the workflow.
Run your application in Preview mode, click the button, and verify that the response returned from the AI model is processed into your database via the get-response backend workflow.
When you complete these steps, your button will trigger the chosen Text to Image AI model, and the incoming response will be stored in the backend according to the parameters you defined.
Saving the Output and Adding Run ID
Creating a New Record (Create New Thing):
In your button’s workflow, add the “Create a new thing” action.
For the Type field, select the AI Output data type.
Populating the Fields:
In the run_id field, assign the Run ID returned from Step 1 (Aicado AI Connector). For example:
Save and Test:
Save the workflow.
In your application, choose the desired AI model and click the button.
The model will run, and its response will be stored in the AI Output record in the database, including the run_id.
Your system is now fully set up: once you select your AI model and click the button, the process will execute automatically, and the output will be saved with the corresponding Run ID.
Defining “Data Types”
For your application to operate smoothly, you need to create the following fields in the Data Types section with exactly the names (in quotes) and types specified:
Data Types Definition:
expense — number
output — text
output_list — text (list)
run_id — text
Important Notes:
Write the field names exactly as shown above; do not add any uppercase/lowercase variations, spaces, or underscores.
Ensure that you select the correct types (Number or Text).
Mismatched names or types may cause errors during data recording by the backend workflows.
For the plugin to function, you need to define a "backend event." Follow these steps to complete this process:
Go to the Backend Workflows section.
Click the New API Workflow button to create a new API workflow.
This step is essential for the plugin to process the required data appropriately.
Creating a New Backend Workflow and Configuring Parameters
Workflow Name:
In the opened window, assign a name for the workflow. For example, you can use “get-response.”
API Workflow Settings:
Check the “Expose as a public API workflow” option. This setting makes your workflow accessible as an API endpoint.
Adding Parameters:
Click on the “Add a new parameter” button.
Configure the workflow with the following parameters:
output (text)
output_list (list of text)
run_id (text)
expense (number)
For each of these fields, ensure that the Optional checkbox is activated. Also, verify that the object type remains as JSON Object.
These parameters are critical for the correct operation of the system, so please make sure to add all of them without any omissions.
Adding a New Action
Click on the “Click here to add an action” link. From the menu that appears, select the Make changes to a thing option.
Setting the Thing to Change
In the Thing to change section, perform a search for “All Outputs”.
Use a constraint by matching the run_id field with the run_id parameter received from the event.
Then, append the expression :first item to select the first entry. This will update the first record among the existing “All Outputs”.
Updating the Fields
Select the Change another field option to update the following data:
expense = expense
output = output
output_list = output_list
run_id = run_id
After completing all these settings correctly, the corresponding fields in the “All Outputs” record will be updated.
Now it's time to test the project using the button you created. For the Text to Image model, make sure once again that the text1 field is filled in with the necessary value before testing.
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