Fire V Sekai.mediapipe Labeler Image Generator

Description

Mediapipe Blendshape Labeler - Predicts the blend shapes of an image.

Overview

This n8n workflow integrates with the Replicate API to use the fire/v-sekai.mediapipe-labeler model. This powerful AI model can generate high-quality image content based on your inputs.

Features

• Easy integration with Replicate API
• Automated status checking and result retrieval
• Support for all model parameters
• Error handling and retry logic
• Clean output formatting

Parameters

Required Parameters

• media_path (string): Input image, video, or training zip file

Optional Parameters

• test_mode (boolean, default: False): Enable test mode for quick verification
• max_people (integer, default: 100): Maximum number of people to detect (1-100)
• export_train (boolean, default: True): Export training zip containing json annotations and frame pngs
• aligned_media (string, default: None): Optional video that is aligned with the input video's annotations
• frame_sample_rate (integer, default: 1): Process every nth frame for video input

How to Use

1. Set up your Replicate API key in the workflow
2. Configure the required parameters for your use case
3. Run the workflow to generate image content
4. Access the generated output from the final node

API Reference

• Model: fire/v-sekai.mediapipe-labeler
• API Endpoint: https://api.replicate.com/v1/predictions

Requirements

• Replicate API key
• n8n instance
• Basic understanding of image generation parameters