Fire Part Crafter Image Generator

Description

PartCrafter is a structured 3D mesh generation model that creates multiple parts and objects from a single RGB image.

Overview

This n8n workflow integrates with the Replicate API to use the fire/part-crafter 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

• image (string): Input image for 3D mesh generation

Optional Parameters

• seed (integer, default: 0): Random seed for reproducibility. Use 0 for random seed
• num_parts (integer, default: 16): Number of parts to generate
• num_tokens (string, default: 2048): Number of tokens for generation
• guidance_scale (number, default: 7): Guidance scale for generation
• remove_background (boolean, default: False): Remove background from input image
• use_flash_decoder (boolean, default: False): Use flash decoder for faster inference (Tempermental?)
• num_inference_steps (integer, default: 50): Number of inference steps

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/part-crafter
• API Endpoint: https://api.replicate.com/v1/predictions

Requirements

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