Generate 360° Virtual Try-on Videos for Clothing with Kling API

Target Audience

- E-commerce Platforms: Enhance product listings with immersive virtual try-on experiences.
- Fashion Brands: Showcase clothing on models digitally, increasing customer engagement.
- Content Creators: Generate unique content for social media, attracting more viewers.
- Influencers: Provide followers with interactive fashion experiences, boosting brand collaborations.

Problem Solved

This workflow addresses the challenge of visualizing clothing on models without physical fittings. By generating 360° virtual try-on videos, it allows potential customers to see how garments look in motion, ultimately improving purchase confidence and reducing return rates.

Workflow Steps

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. Preset Parameters: Initial parameters such as API key, model, and clothing inputs are set up.
3. Kling Virtual Try-On Task: A request is sent to the Kling API to initiate the virtual try-on task with the provided inputs.
4. Wait for Image Generation: The workflow pauses to allow the image generation process to complete.
5. Get Kling Virtual Try-On Task: Once the images are ready, the task status is checked.
6. Check Data Status: If the task is completed, the workflow proceeds; if not, it waits and checks again.
7. Generate Kling Video: Upon successful image generation, a video generation task is initiated.
8. Wait for Video Generation: The workflow waits for the video to be generated.
9. Get Kling Video Task: The status of the video generation task is retrieved.
10. Check Video Data Status: Similar to image checks, the workflow verifies if the video is completed.
11. Get Final Video URL: Finally, the workflow extracts the URL of the generated video for further use.

Customization Guide

- API Key: Users must input their own Kling API key in the Preset Parameters node.
- Clothing Inputs: Adjust the dress_input, upper_input, and lower_input parameters to test different outfits.
- Video Prompt: Modify the generate_video_prompt in the Preset Parameters node to change the actions performed in the video (e.g., walking styles).
- Node Adjustments: Users can add or remove nodes based on specific needs, such as adding more checks or additional outputs.