NEWGPT Image 2.5 is here — make focused edits with less rework.

Try GPT Image 2.5

Prepare Character Art for a VTuber Avatar

Separate a flat character illustration into visible layers so you can start rigging a streaming avatar without manually cutting every part by hand.

Character preparation

Separate faces, eyes, hair, clothing, and other supported character parts into editable layers.

Choose Character Art

PNG, JPG or WebP

No image? Test with sample
17-Layer Character Assembly
┌ RIG.01Z-AXIS ┐
└ 1024×102417 LAYERS ┘
Back Hair
Handwear
Legwear & Stockings
Shoes & Footwear
Neck & Collar
Pleated Skirt
Uniform Blazer & Bow
Ears
Face Base
Nose
Mouth & Smile
Eyebrows
Eyewhites (Sclera)
Irides & Pupils
Eyelashes
Eyewear Glasses
Front Bangs & Hair
#17Front Bangs & HairZ:16
Separated Layer Cutouts17 Alpha PNGs

Ready to test with your own or this sample character

Use a clear front-facing or slightly angled illustration with visible facial features and limited cropping. The tool creates new layers from visible pixels; it does not create tracking, meshes, or deformers.

Your source artwork stays private

Uses 30 credits per image

Processing time varies with image complexity. Detailed characters and complex poses may take longer.

AI layer splitter

Get a faster starting point for your avatar

VTuber rigging usually starts with manually separating hair, face, and body regions. This workflow creates an initial layer split you can refine before rigging setup.

Character-first layers

Separate the main character from the background and supporting elements so visible regions can be moved, hidden, or refined independently.

A faster first separation pass

Let AI handle an initial cut around major visible regions, then refine only the parts your rig actually needs.

Ready for manual rigging setup

Use the separated layers as your starting point for tracking, meshes, and deformers in your rigging application of choice.

Upload, separate, and continue rigging

01

Upload your character art

Start with a front-facing or slightly angled character illustration with visible facial features.

02

Let AI separate visible layers

The model creates image layers from the visible character, supporting details, and background.

03

Review and export

Inspect the layers in the shared result workspace, then download PNG or PSD output to continue avatar rigging setup.

Where this helps VTuber creators

Streaming avatar prep

Get an initial layer split before adding tracking, meshes, deformers, and physics in a rigging application.

Expression prep

Start from separated facial regions when preparing expression-based rigging work.

Outfit variations

Keep clothing and accessories available as separate layers for future outfit variants.

Model iteration

Prepare a reusable layer starting point when refreshing or revising an existing avatar design.

Best for clear character illustrations

Use it with front-facing or slightly angled character art where the face, hair, and body are visibly distinct.

It does not create a finished avatar rig

This workflow prepares raster layers only. It does not create face or body tracking, meshes, deformers, physics, or a finished VTuber model — those steps still happen in your rigging application.

Focused on a faster starting point

The generated layers are most useful for reducing manual masking time before you begin rigging setup, not as a finished production asset.

VTuber Character Prep FAQ

What does this VTuber character prep workflow create?

It separates a flat character illustration into visible image layers — such as the character, supporting details, and background — that you can review before rigging.

Does this create a finished VTuber model?

No. It prepares visual layers only. Tracking, meshes, deformers, physics, and expressions still need to be set up in a compatible rigging application.

Can it separate facial features like eyes and mouth?

Results depend on the image. Clear, large, unobstructed facial features are more likely to separate cleanly; small or heavily stylized features may need manual correction.

Will it reconstruct areas hidden behind hair or clothing?

The workflow may generate a plausible fill for covered areas from visible pixels, but this is an estimate, not the artist's original design.

What character images work best?

Clear, high-resolution illustrations with visible facial features, defined boundaries, and limited overlap usually produce the most useful layers.

Can I download transparent PNG layers?

Yes. Separated layers can be exported as transparent PNG files.

Can I export a layered PSD?

Yes. You can download a layered PSD. It contains raster layers only — no tracking, meshes, or rigging data.

Is this the same as the general Character to Layers workflow?

Yes, it uses the same layer-separation workflow. This page is focused on VTuber-specific positioning and guidance.

Related image tools

Live2D Character Prep

Prepare character art for Live2D Cubism rigging.

Open tool

Spine Character Prep

Prepare 2D game character art for Spine animation setup.

Open tool

Character to Layers

Use the broader character workflow for avatars, game characters, and general character production.

Open tool
    AI Layer Splitter for VTuber Character Prep | Image to Layers