Block 1 - When clicking ‘Test workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
What's the workflow used for? Leverage this Kling API (unofficial) provided by PiAPI workflow to streamline virtual try on video creation. This tool is designed for e commerce...
n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.switch, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.wait, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by PiAPI.
Original n8n.io sourceLeverage this Kling API (unofficial) provided by PiAPI workflow to streamline virtual try-on video creation. This tool is designed for e-commerce platforms, fashion brands, content creators and content influencers. By uploading model and clothing images and linking PiAPI account, users can swiftly generate a realistic video of the model sporting the outfit with a 360° turn, offering an immersive viewing experience.
For basic settings of virtual try-on, check API doc to get best practice.
model_input URL and the dress_input URL in the parameters.model_input URL, upper_input URL and lower_input URL in Preset Parameters.
Input images:
Output Video The output demonstrates that the model is wearing the clothing from the specified image and showcases a rotating runway-style view.
This workflow enables you to efficiently test garment-on-model presentation effects while reducing business model validation costs to a certain extent.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate 360° virtual try-on videos for clothing with Kling API (unofficial) |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Content Creation, Multimodal AI |
| Author | PiAPI |
| Published | 03 Apr 2025 |
Use the JSON export at /data/workflows/3411/3411.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
What's the workflow used for? Leverage this Kling API (unofficial) provided by PiAPI workflow to streamline virtual try on video creation. This tool is designed for e commerce...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.