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Bingeljell
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Bingeljell/image-to-3dlab

Local image or text → game-ready 3D on your own machine. Retopology, repaint, rigging and animation helpers, in a web viewer and a CLI. Runs Pixal3D, TRELLIS.2, Hunyuan3D and SF3D. Apple Silicon and NVIDIA. Every result carries its licence.

Python ◇ 3d-generation Apache-2.0
★135STARS
⑂11FORKS
!4ISSUES
🏆#6,075GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Bingeljell/image-to-3dlab
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#686

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

image-to-3dlab gained 10 stars in the last 30 days, about 1 a day, and now has 135. It is about 1 year old and has averaged roughly 135 stars a year. It ranks #686 among Python repositories and #6,075 across all languages on GitHubRepo.

Trending Record

image-to-3dlab has maintained a continuous presence across global trending indexes, peaking at #4293. Below is the 30-day activity profile:

💡 Overview

image-to-3dlab is an open-source project written in Python: Local image or text → game-ready 3D on your own machine. Retopology, repaint, rigging and animation helpers, in a web viewer and a CLI. Runs Pixal3D, TRELLIS.2, Hunyuan3D and SF3D. Apple Silicon and NVIDIA. Every result carries its licence.

Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d-generation, 3d-models, apple-silicon. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install image-to-3dlab

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

image-to-3dlab coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with image-to-3dlab.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install image-to-3dlab using your package manager: `pip install image-to-3dlab`

2

Initialize your project workspace or configuration file for image-to-3dlab.

3

Import image-to-3dlab into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `image-to-3dlab --help` to verify successful setup.

👍 Strengths

Active community backing with 135 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Bingeljell/image-to-3dlab is currently ranked #6,075 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,063 pytdbot/client Python ★ 136 Compare ↗
#6,063 Alia5/steaminputdb.com Go ★ 136 Compare ↗
#6,063 heygen-com/heygen-cli Go ★ 136 Compare ↗
#6,063 zioder/TaskbarQuota C# ★ 136 Compare ↗
#6,063 armanmaurya/InternetRadio Kotlin ★ 136 Compare ↗
#6,075 Bingeljell/image-to-3dlab This Project Python ★ 135
#6,075 abhay/calais Ruby ★ 135 Compare ↗
#6,075 apache/cordova-electron JavaScript ★ 135 Compare ↗
#6,075 apache/datasketches-memory Java ★ 135 Compare ↗
#6,075 ThirteenAG/XboxRainDroplets C++ ★ 135 Compare ↗
#6,075 rfprod/nx-ng-starter TypeScript ★ 135 Compare ↗

Frequently Asked Questions

What does image-to-3dlab do? +

Local image or text → game-ready 3D on your own machine. Retopology, repaint, rigging and animation helpers, in a web viewer and a CLI. Runs Pixal3D, TRELLIS.2, Hunyuan3D and SF3D. Apple Silicon and NVIDIA. Every result carries its licence.

What language is image-to-3dlab written in? +

The primary language is Python. Topics include: 3d-generation, 3d-models, apple-silicon, blender, cuda.

Is image-to-3dlab actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 4 open issues being tracked.

How many stars does image-to-3dlab have? +

image-to-3dlab has 135 stars and 11 forks on GitHub.

How does image-to-3dlab rank among GitHub repositories? +

With 135 stars, Bingeljell/image-to-3dlab is ranked #6,075 globally across all repositories tracked on GitHubRepo and #686 among Python projects.

What license is image-to-3dlab distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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