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This tutorial explains two ways to generate 3D models through ComfyUI with a custom bridge to Hunyuan3D 2.1. The bridge sends an image to an external script running in its own Python environment and returns a model. The creator says the entire process runs locally.
The basic workflow starts with a manually selected image. It provides a way to test the node, convert existing images, or check the Hunyuan3D installation. The automated workflow uses Qwen 3.5 to turn an object idea or category into a detailed prompt, then Qwen Image generates the image. A second Qwen step creates a filename before Hunyuan3D converts the image into a textured asset.
The creator designed this local AI workflow for procedural game assets, including props, furniture and vintage electronics. The images target simplified game geometry.
Memory is a practical limitation: ComfyUI, Qwen Image and Hunyuan3D can consume GPU memory and system RAM simultaneously. The speaker recommends separate environments to avoid dependency conflicts and suggests increasing swap when memory pressure causes Linux to kill a process.
