(Not published) Three-View Orthographic Projection to Dynamic Video Conversion

For n8n, this automated workflow converts three-view orthographic projections into dynamic videos, streamlining the video generation process. By integrating multiple API calls, it efficiently generates and retrieves videos based on user-defined images, ensuring quick turnaround times. With a manual trigger and built-in wait functionality, users can easily initiate and monitor the video creation, enhancing productivity and creativity in visual content development.

7/8/2025
13 nodes
Complex
manualcomplexwaitadvancedapiintegrationlogicconditional
Categories:
Complex WorkflowManual Triggered
Integrations:
Wait

Target Audience

Target Audience


- Developers who want to automate video generation processes.
- Content Creators looking for efficient ways to produce dynamic videos from static images.
- Digital Artists who need a quick method to visualize their concepts in motion.
- Businesses that require promotional videos generated from images for marketing purposes.
- Educators seeking to create engaging instructional materials through animated visuals.

Problem Solved

Problem Solved


This workflow automates the process of converting static three-view orthographic projections into dynamic videos. It eliminates the need for manual video editing by integrating various API calls to generate, verify, and retrieve video content, thus saving time and resources while ensuring a smooth workflow.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow begins when the user clicks the ‘Test workflow’ button.
2. Set Basic Parameters: Initial parameters like x-api-key and image_url are set for API calls.
3. Generate Front View: An API request is made to generate the front view image from the original image.
4. Get Image URL of Front View: The workflow processes the response to extract the URL of the generated front view image.
5. Check Front View Status: It verifies if the front view image was successfully generated. If not, it retries the generation.
6. Generate Side View: Similar to the front view, an API request is made to generate the side view image.
7. Get Image URL of Side View: The URL of the generated side view image is extracted from the response.
8. Check Side View Status: The workflow checks if the side view image was generated successfully. If not, it retries.
9. Generate Kling Video: Once both views are ready, a request is made to generate a video using the Kling model based on the images.
10. Get Kling Video: The workflow retrieves the video generation task status.
11. Verify Task Status: It checks if the video generation is completed. If not, it waits for a specified period before checking again.
12. Get Final Video: Once completed, it retrieves the final video URL and a watermark-free version.

Customization Guide

Customization Guide


- API Keys: Replace the x-api-key with your own API key for authentication.
- Image URLs: Update the image_url in the Basic Params to point to your desired images.
- Video Generation Parameters: Modify the duration and prompt in the Generate Kling Video step to customize the video output.
- Retry Logic: Adjust the conditions in the verification steps to change how many times the workflow retries generating images if they are not found.
- Wait Time: Change the wait duration in the Wait for Video Generation step to suit your needs for checking video status.