AfterJourney00

An automated workflow for composing, rendering, and retargeting MMD assets

11
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69% credibility
Found Feb 25, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Automated Blender workflow to compose MMD characters with animations in scenes, render toon/sketch videos, and retarget to SMPL body parameters.

How It Works

1
🔍 Discover MMD to SMPL

You find a handy tool that turns fun MikuMikuDance characters and dances into realistic human body models for your 3D projects.

2
📁 Gather Your Files

Collect your favorite MMD character models, dance animations, and Blender scenes to mix and match.

3
🚀 Launch the Workflow

Run one simple command to automatically combine characters, animations, and scenes with physics and special effects.

4
Watch Magic Happen

Sit back as it bakes realistic movements, renders cute toon or sketch videos, and fits everything to a lifelike human shape.

5
🎥 Enjoy Your Videos

Get polished animation videos in manga or cartoon styles, ready to share or use anywhere.

6
👤 Unlock Human Models

Extract precise body poses and shapes in standard human format for advanced 3D apps or research.

Your Creations Live On

Now your MMD dances are immortalized as videos and versatile human models, perfect for any creative adventure.

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AI-Generated Review

What is mmd_to_smpl?

This Python workflow automates loading MMD characters (.pmx) and animations (.vmd) into any Blender scene (.blend), with optional physics baking and toon/sketch rendering via Cycles or EEVEE. It outputs videos at custom resolutions and retargets poses/shapes to SMPL(-H) parameters for standard body models. Perfect for batch-converting anime assets without manual Blender tweaks—run via CLI with flags like --render --retarget --style toon.

Why is it gaining traction?

Full pipeline from composition to SMPL export skips tedious marker annotation and alignment, delivering ready-to-use assets and videos. Automated workflows handle physics, camera tracking, and GPU rendering out-of-box, making it a drop-in for GitHub automated pipelines processing MMD assets. Low-effort CLI rivals manual tools, with examples for custom scenes and batch jobs.

Who should use this?

MMD modelers exporting animations to SMPL for mocap datasets or Unity/Unreal. Blender scripters automating asset pipelines for toon videos. Pose estimation researchers converting MMD dances to standardized body params without custom retargeting code.

Verdict

Grab it if MMD-to-SMPL is your jam—CLI shines for automated workflows and GitHub actions. At 10 stars and 0.7% credibility, it's early-stage with solid README examples; fork and test thoroughly before production.

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