PartCrafter

At a glance

• Editor score
  6.7 / 10
• Pricing
  Free plan
• Best for
  Researchers generating decomposable 3D parts
• Free plan
  Yes
• Paid from
  Free
• Text-to-3D
  No
• Facts checked
  20 Sep 2026

• Where it wins

  • Generates multiple semantically distinct 3D parts from one RGB image
  • Creates multi-object 3D scenes with local-global attention for coherence
  • Includes local inference, training scripts, pretrained weights, and configurations

• Where it doesn't

  • Requires a CUDA-enabled GPU with at least 8GB of VRAM
  • Supports image-to-3D generation, but not text-to-3D generation
  • Focused on local implementation rather than a conventional hosted SaaS product

Our verdict on PartCrafter

PartCrafter is an open-source AI model and implementation for developers and researchers generating structured 3D content from images. Its core capability is image-to-3D generation: one RGB image can produce multiple semantically meaningful mesh parts, decomposable objects, or multi-object scenes. The project uses a compositional latent space with part identity embeddings, and it supports VLM-based automatic part-count suggestion and image style transfer for real-world photos. It runs locally on Windows and Linux.

Its standout feature is part-level generation rather than general-purpose 3D creation. Local-global denoising attention is designed to support both part detail and global coherence, while the compositional representation preserves distinct part identities. That makes PartCrafter a focused option for research workflows involving decomposable objects, structured assets, and scene generation from images. The project also provides pretrained weights, inference scripts, training configurations, and a Hugging Face model repository, giving technical users materials for local inference and further training.

The main trade-off is the implementation's technical setup and narrow scope. Local use requires a CUDA-enabled GPU with at least 8GB of VRAM, so it suits teams with compatible hardware and development capacity more than users seeking a browser-first workflow. Google Gemini is listed as an integration, while text-to-3D generation is not part of the stated capability set. Choose PartCrafter for local, research-oriented image-to-3D work where semantically distinct parts matter; choose another tool if you need hosted SaaS delivery or text-driven generation.

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PartCrafter pricing

PartCrafter fact sheet

PartCrafter integrations

PartCrafter lists 1 integrations on its own site.

• Google Gemini

Alternatives to PartCrafter

• MeshyA broad AI 3D workspace spanning asset creation, editing, export, and printing.9.3
• Tripo AIA broad 3D creation suite for teams that need generation, processing, and animation.9.1
• Hyper3D RodinA broad 3D generation platform with strong integrations, exports, and API workflows.8.9

See all PartCrafter alternatives →

Featured on iTechGuides

PartCrafter is listed in our AI 3D Model Generators directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update