En3D

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En3D is an open-source generative model for sculpting 3D humans from 2D synthetic data. It enables 3D avatar generation, animation, and integration into modern graphics workflows.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is En3D?

En3D is an open-source PyTorch implementation of an enhanced generative model designed for sculpting 3D human avatars. Trained on millions of synthetic 2D data, it operates independently of pre-existing 3D or 2D assets. This tool provides a comprehensive solution for producing realistic 3D avatars from various inputs, including seeds, text prompts, or images. Beyond generation, En3D supports automatic character animation and FBX production, ensuring compatibility with modern graphics workflows. It also offers a Rigged & Animated 3D Human library (3DHuman-Syn) for quick experience and integration into AR applications.

Best used for

Ideal for developers and 3D artists who need to generate realistic 3D human avatars from text or images, animate characters for various applications, and integrate them into modern graphics workflows. Especially valuable for creating custom 3D content for games, virtual reality, and augmented reality experiences.

Common actions

generate 3D avatars

animate characters

sculpt 3D humans

synthesize 3D models

"AI Agents"github copilotface swappingautomated workflowopen-sourcecollaborationlow-code/no-codeworkflowsdeepfake

Capabilities

Key features

3D human avatar generation
Text-guided synthesis
Image-guided synthesis
Automatic character animation
FBX production
AR application support
Rigged 3D human library

Target Audience

developer3d artistanimator

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running En3D?

En3D recommends Linux for optimal performance and compatibility. It requires 1-8 high-end NVIDIA GPUs (V100, RTX3090, or A100), 64-bit Python 3.8, PyTorch 1.11.0 or later, and CUDA toolkit 11.3 or later. Specific Python libraries are listed in the requirements.txt file.

Can En3D generate avatars from both text and images?

Yes, En3D supports both text-guided synthesis and image-guided synthesis for generating 3D avatars. For image-guided synthesis, it is recommended to repose the human image to a canonical A-pose first to achieve the best results.

How can I use En3D for AR applications?

You can convert the generated animation file (.glb) to .usdz format using tools like Sketchfab or other converters. The .usdz file can then be inserted into web pages using a model-viewer component, enabling AR experiences, particularly on iPhone devices.

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