InstantMesh vs Meshy

InstantMesh is a free, Apache-licensed framework that generates a 3D mesh from one image using the LRM/Instant3D architecture. It runs on Linux in a local or self-hosted setup. A Gradio demo starts with `python app.py`, while `run.py` offers command-line generation. The default export is an OBJ mesh with vertex colors; an alternative adds a texture map and takes longer. rembg can segment the foreground object, or that step can be skipped when the source already has an alpha mask. Four sparse-view reconstruction model variants and a customized Zero123++ UNet for white-background image generation are included. Docker deployment is documented. The recommended environment uses Python 3.10 or later, PyTorch 2.1.0 or later and CUDA 12.1 or later; two GPUs can reduce demo memory use. Training code is included, but the training dataset is unavailable because of its size. Community implementations are noted for ComfyUI, Replicate and Google Colab.

Meshy creates 3D assets from text, images, or creative concepts for users to preview, edit, and export. Text-to-3D generates textured models from written descriptions, while Image-to-3D works from photos, sketches, or concept art. It can auto-rig humanoid and quadruped characters and offers more than 600 motion presets. For 3D printing, Meshy says its models are watertight and manifold; its printability check scans exports and can repair some edge cases. Integrations include Blender, Unity, Unreal Engine, Godot, Roblox Studio, Bambu Studio, OrcaSlicer, and Creality Print, along with a REST API and MCP server. The Android and iOS app syncs with the web app and exports formats including STL, GLB, FBX, OBJ, USDZ, and 3MF. The web app has a 100 MB upload limit for AI texturing and accepts one model at a time. Meshy has a free plan; Pro starts at $20 a month. Free-plan assets use CC BY 4.0 and require attribution for commercial use.