Analyze Images with Mediapipe Blendshape Labeler via Replicate API

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 Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate image content 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