Generate 3D Models and Textures from Images with Hunyuan3D AI

This n8n workflow provides a foundational structure for interacting with a 3D model generation API, potentially Hunyuan3D AI, based on image inputs. It allows for manual triggering, setting up API request parameters, and includes a placeholder for processing responses and handling potential delays.

What it does

This workflow outlines the following steps:

1. Manual Trigger: The workflow is initiated manually, allowing for on-demand execution.
2. Edit Fields (Set): This node is intended to prepare or transform data before making the API request. While currently empty, it serves as a placeholder for setting variables, constructing JSON payloads, or manipulating incoming data.
3. HTTP Request: This is the core of the workflow, designed to send a request to an external API. It's configured to make an HTTP request, likely to a 3D model generation service, but its specific parameters (URL, method, headers, body) are not defined in the provided JSON.
4. Wait: After the HTTP request, the workflow pauses for a specified duration. This is useful for waiting for asynchronous API processes to complete or to implement rate limiting.
5. If: This node introduces conditional logic. It's set up to evaluate a condition, allowing the workflow to branch based on the outcome of the previous steps (e.g., checking the API response status).
6. Code: This node provides the flexibility to execute custom JavaScript code. It can be used for advanced data manipulation, error handling, or further processing of the API response.
7. Sticky Note: A simple note to provide context or instructions within the workflow.

Prerequisites/Requirements

• n8n Instance: An active n8n instance to import and run the workflow.
• 3D Model Generation API: Access to a 3D model generation API (e.g., Hunyuan3D AI) and its corresponding API endpoint, authentication details (API keys, tokens), and required request parameters.
• Basic JavaScript Knowledge (Optional): For customizing the 'Code' node.

Setup/Usage

1. Import the Workflow:
   • Download the provided JSON file.
   • In your n8n instance, click on "Workflows" in the left sidebar.
   • Click "New" -> "Import from JSON" and paste the workflow JSON or upload the file.
2. Configure Nodes:
   • Edit Fields (Set) (Node 38): Customize this node to prepare the data you want to send to the 3D generation API. For example, you might set an image URL or other input parameters.
   • HTTP Request (Node 19):
     • Set the URL to your 3D model generation API endpoint.
     • Choose the appropriate Method (e.g., POST).
     • Add any necessary Headers (e.g., Content-Type, Authorization with your API key).
     • Configure the Body with the data required by the API (e.g., an image URL, parameters for model generation).
   • Wait (Node 514): Adjust the Delay time as needed, depending on how long your 3D model generation API typically takes to process requests.
   • If (Node 20): Define the Conditions to check the response from the HTTP Request node. For example, you might check response.status for a successful code (e.g., 200) or response.data.jobStatus for completion.
   • Code (Node 834): Implement custom JavaScript logic to handle the API response, extract generated model URLs, or perform error handling.
3. Save and Activate: Save the workflow and activate it.
4. Execute: Click the "Execute Workflow" button on the "When clicking ‘Execute workflow’" node (Node 838) to manually trigger the workflow.

This workflow provides a robust starting point for automating 3D model and texture generation. Remember to replace placeholder configurations with your specific API details and desired logic.