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Open weightsthreestudio-project (community)/10 trustVerified

threestudio

Community framework unifying DreamFusion, Magic3D, ProlificDreamer and a dozen more text-to-3D methods in one codebase.

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About

threestudio is an open-source framework for 3D content generation from text prompts, single images, or few-shot captures, built by lifting 2D text-to-image diffusion models into 3D through score distillation. One install gives working implementations of ProlificDreamer, DreamFusion, Magic3D, Zero-1-to-3, Magic123, Fantasia3D, MVDream, and Gaussian splatting pipelines, with a Gradio web UI, a Colab notebook, and Docker support for getting started quickly.

Released in April 2023, it became the reference sandbox the field used to compare text-to-3D methods, collecting over 7,000 GitHub stars and 500 commits through 2024. The code is Apache-2.0 licensed. Output quality depends on the underlying diffusion prior, and the best configs use DeepFloyd IF, which needs 20GB-plus VRAM and a license acceptance on Hugging Face.

Specs

Context window

n/a (image, video, and mesh outputs; config-driven)

Pricing

Free / open source (Apache-2.0)

Free quota

Free — self-hosted; community Hugging Face Spaces demo

API access

No hosted API; Gradio web UI, Colab notebook, and self-hosted service

Weights

Open weights

Released

Not disclosed

Benchmarks

No published benchmarks; results are qualitative galleries in the repo

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

text-to-3dimage-to-3d3d-researchnerfgaussian-splatting

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: 7,070 GitHub stars and 509 commits with Apache-2.0 license confirmed via the repo page; implements the landmark text-to-3D papers with configs, docs, and export tooling. Strengths: the de-facto community standard for text-to-3D experimentation, broad method coverage, Docker/Colab/Gradio access. Docked for: (1) a research sandbox rather than a production service, with maintenance slowing after 2024; (2) output quality hinges on third-party diffusion priors carrying their own licenses. License: Apache-2.0.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.0/10
Maintenance · recency, releases, issue load
7.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · Community framework; created 2023-04-06; 7,070 stars, 509 commits, 553 forks
  • · Unifies ProlificDreamer, DreamFusion, Magic3D, Zero-1-to-3, MVDream, Gaussian splatting + more
  • · Gradio UI, Colab notebook, Docker; textured mesh export
  • · Maintenance slowed after 2024; quality depends on third-party diffusion priors

Sources