Wiro - 3D
AI-generatedOverview
This node integrates with the Wiro API to transform a 2D image into a 3D object. It is useful for scenarios where users want to generate 3D representations from 2D images, such as in design, gaming, or visualization projects. The node sends parameters like the input image URL, view angle, diffusion steps, distance, guidance scale, and seed to the API, then polls for the task completion to retrieve the 3D model URL.
Use Case Examples
- Convert a 2D product image into a 3D model for an e-commerce site.
- Generate 3D assets from 2D concept art for game development.
Properties
| Name | Meaning |
|---|---|
| Input Image URL | The URL of the 2D image to be transformed into 3D. |
| View | The view angle or perspective for the 3D transformation. |
| Diffusionsteps | The number of diffusion steps to control the transformation process. |
| Distance | The distance parameter affecting the 3D effect depth. |
| Guidancescale | The guidance scale to influence the transformation guidance. |
| Seed | A seed value for randomization control in the transformation process. |
Output
JSON
taskid- The unique identifier of the transformation task.url- The URL to the resulting 3D model or output.status- The status of the transformation task, e.g., 'completed' or 'failed'.
Dependencies
- Wiro API with API key and secret credentials
Troubleshooting
- If the node throws an error about missing task ID or socket access token, verify that the Wiro API credentials are correct and the API is responding properly.
- If the task status is 'failed', check the input parameters and image URL for correctness and retry.