rotejin

rotejin / EasyPNGTuber

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AI表情差分からPNGTuber用4パターン画像を自動生成 / Auto-generate 4-pattern PNGTuber images from AI expression sheets

ai-art expression-sheet image-processing opencv pngtuber
26
1
100% credibility
Found Feb 01, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of user-friendly graphical apps for tiling, aligning, masking, and mixing image parts to produce expression variations for PNGTuber avatars.

How It Works

1
🖼️ Pick your character picture

Start with a single image of the avatar you want to bring to life with expressions.

2
🔳 Create a 4-panel layout

Use the simple tiler to copy your picture into a neat 2x2 grid ready for variations.

3
🎨 Generate expression variations

Make copies with different eyes and mouths open or closed using your favorite image editor.

4
✨ Load and line up the panels

Drop the grid into the mixer, and it automatically splits and perfectly aligns all four pictures.

5
🖌️ Paint the moving parts

Gently brush over the eyes and mouth areas on separate canvases to mark what changes.

6
👀 Preview all combinations

Watch in real-time as it blends eyes on/off and mouth open/closed into four lively versions.

✅ Save your avatar set

Download the complete set of expression images ready for your animated PNGTuber adventures.

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AI-Generated Review

What is EasyPNGTuber?

EasyPNGTuber is a Python GUI toolkit that auto-generates 4-pattern PNGTuber images from AI expression sheets. Drop in a 2x2 grid of facial variations, align expressions precisely, paint masks for eyes and mouth, and output standard sprites: eyes off/on crossed with mouth off/on. Built with OpenCV for alignment and PySide6 for interactive previews, it streamlines turning AI art into ready-to-use PNGTuber assets.

Why is it gaining traction?

It nails the pain of AI-generated sheets—misaligned expressions and inconsistent parts—via smart feature matching, onion-skin overlays for diff checks, and one-click 4-pattern compositing. No command-line hassle; drag-and-drop GUIs with undoable mask brushes and auto-trim borders make iteration fast. At 25 stars, it's niche but hooks AI tinkerers tired of manual Photoshop fixes.

Who should use this?

VTubers and streamers prototyping PNGTubers from Stable Diffusion or Gemini outputs. Indie game devs needing quick expression sprites for 2D avatars. Python hobbyists blending AI art with OpenCV for character animation pipelines.

Verdict

Grab it if you're making easy PNGTubers—solid for rapid 4-pattern auto-generation from sheets, with intuitive masks and previews. 1.0% credibility and low stars signal early maturity (basic docs, no tests), so expect tweaks for production; fine for experiments.

(187 words)

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