Generate 360° Virtual Try-On Videos with Kling AI
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This n8n workflow automates the creation of stunning 360° virtual try-on videos for clothing using the Kling AI API. Simply provide a model image and garment details, and the workflow handles the entire process from AI try-on image generation to dynamic video creation, perfect for enhancing your online store or marketing campaigns.
About This Workflow
Revolutionize your e-commerce product showcases with this powerful n8n workflow, leveraging the Kling AI API to produce captivating 360° virtual try-on videos. Designed for fashion brands and online retailers, this automation takes the hassle out of creating high-quality visual content. It orchestrates a multi-step process: first, it digitally drapes clothing onto a model to generate a virtual try-on image. Subsequently, it transforms this static image into a dynamic, rotatable video, allowing customers to visualize garments from every angle. This workflow is ideal for significantly boosting engagement and conversion rates by offering an immersive shopping experience without costly photoshoots.
Key Features
- Automated AI Virtual Try-On: Seamlessly integrate with Kling AI to generate realistic try-on images from model and garment inputs.
- Dynamic 360° Video Generation: Transform static try-on images into engaging, rotatable videos, showcasing products from all angles.
- Customizable Video Prompts: Define specific actions or poses for the virtual model within the video (e.g., "Walk on the catwalk, turn around").
- Asynchronous Task Handling: Intelligently waits for AI image and video generation tasks to complete, ensuring robust and reliable execution.
- API Key Security: Manages API key securely within workflow parameters for easy configuration.
How To Use
- Input Preset Parameters: Locate the 'Preset Parameters' node and configure the following:
x-api-key: Enter your Kling API key.model_input: Provide a URL for the image of your model.dress_input,upper_input,lower_input: Provide URLs for the images of the clothing items you wish to try on (use relevant fields for your item type).generate_video_prompt: Customize the text prompt that instructs the AI on the model's actions in the video (e.g., "Walk on the catwalk, turn around, and finally stand still and pose").
- Initiate Virtual Try-On: The workflow will first call the Kling API to generate a virtual try-on image based on your inputs.
- Wait for Image & Video Completion: The workflow includes wait nodes that intelligently pause until both the virtual try-on image and the subsequent video generation tasks are reported as 'completed' by the Kling API.
- Retrieve Video Output: Once completed, the final video URL will be available in the output of the 'Get Kling Video Task' node, ready for use.
- Test the Workflow: Click the 'Test workflow' button to run it manually and verify your settings and inputs.
Apps Used
Workflow JSON
{
"id": "43457a57-d97a-41b6-8f60-fcdaab0c9adf",
"name": "Generate 360° Virtual Try-On Videos with Kling AI",
"nodes": 21,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 43457a57-d97a...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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