Generate 3D Mesh Models from Images with Part Crafter AI on Replicate

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

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