In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Prodia and TextMagic workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Create generation
Create a generation for SD 1.
Transform existing image
Transform an existing image in SD 1.
Inpaint existing image
Inpaint an existing image in SD 1.
Create Controlnet generation
Create a Controlnet generation in SD 1.
Create SDXL generation
Create a generation for SDXL image generation.
Transform existing SDXL image
Transform an existing image in SDXL generation.
Inpaint existing SDXL image
Inpaint an existing image in SDXL generation.
Upscale an image
Upscale an image using the Image Upscaling endpoint.
Face Swap
Perform a face swap using the utility endpoint.
Face Restore
Restore a face using the utility endpoint.
Photo Maker
Create a photo using the photo maker utility endpoint.
Retrieve SD 1.X models
Retrieve a list of available SD 1.
Retrieve SDXL models
Retrieve a list of available SDXL models.
Retrieve SD 1.X loras
Retrieve a list of available SD 1.
Retrieve SDXL loras
Retrieve a list of available SDXL loras.
Retrieve generation
Retrieve a generation by job ID.
Retrieve list of available SDXL embeddings
Retrieve a list of available SDXL embeddings.
To set up Prodia integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Prodia to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Prodia official documentation to get a full list of all API endpoints and verify the scraped ones!
Send message
Send an SMS using the Textmagic API.
Receive messages
Receive SMS through the API.
Schedule message
Schedule an SMS to be sent at a later time.
Send 2FA message
Send a two-factor authentication message via SMS.
Manage chats
Access and manage SMS chats through the API.
Manage sessions
Manage SMS sessions through the API.
Manage templates
Access and manage SMS templates via the API.
Receive message
This endpoint allows you to receive SMS messages.
List contacts
Retrieve a list of contacts in your account.
Manage custom fields
Access and manage custom fields for contacts.
Manage lists
This endpoint allows you to manage contact lists.
Get account details
Retrieve details about your account.
Manage sub-accounts
This endpoint allows you to manage sub-accounts.
Get statistics
Retrieve statistics related to your account usage.
Manage invoices
Access and manage your account invoices.
Get sender settings overview
Access overview of sender settings.
List sender numbers
Retrieve a list of sender numbers associated with your account.
List sender IDs
Retrieve a list of sender IDs associated with your account.
Fetch response codes
This endpoint provides a list of response codes used by the API.
List distribution lists
Retrieve all distribution lists from the account.
To set up TextMagic integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to TextMagic to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the TextMagic official documentation to get a full list of all API endpoints and verify the scraped ones!
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