Checked against the live product page Hyper3D Editorial 路 Product guide Updated September 16, 2026

Rodin ChatAvatar

ChatAvatar is Hyper3D's character-focused sibling to core Rodin: describe a person or upload a portrait, and it returns a nearly production-ready full-body avatar - face, matching body mesh, PBR materials, and facial rigging baked in - rather than a generic object. Here's what it generates, how the input methods work, and when to reach for it instead of text-to-3D or image-to-3D.

Generates: face + body mesh + PBR materials Input: text, reference image, or both Rigging: blendshapes & ARKit visemes included
Full-bodyface and body generated together
4style directions: realistic, cartoon, stylized, custom
ARKitcompatible blendshapes & visemes
Businessplan required for commercial licence
Overview

The character-first product in the Hyper3D suite

Where core Rodin text-to-3D and image-to-3D are built for any object - props, environments, creatures, across 21 style presets - ChatAvatar narrows the focus to people and human-like characters, and goes further on that one subject: a full-body result with a detailed face, a matching body mesh, PBR materials, and facial rigging already wired up, aimed at games, virtual worlds, digital identities and social platforms.

The tradeoff is scope, not quality - ChatAvatar isn't the tool for a treasure chest or a spaceship, and core Rodin isn't the tool for a character that needs lip-sync out of the box. The comparison section below covers exactly where the line sits.

Workflow

Describe or upload, then refine downstream

  1. Describe the character or upload a reference. A text description with identity and style cues, a portrait or concept art image, or both together.
  2. Generate. ChatAvatar produces the face, body mesh and PBR materials as one full-body package rather than separate passes.
  3. Review the style read. Realistic, cartoon, stylized or custom - regenerate if the direction isn't quite right.
  4. Export and refine. Take the asset into your DCC tool of choice for full-body rigging, custom animation, and final cleanup beyond what ships baked in.
Input tips

What makes a reference photo work well

For photo-driven generation, Hyper3D's own guidance is specific: a clear portrait with bright, even lighting and no shadows works best. Harsh side-lighting or a partially obscured face is the most common cause of a read that doesn't match the source.

"middle-aged blacksmith, weathered face, short grey beard, realistic style, worn leather apron"

A text-only prompt with identity cues (age, build, distinguishing features) and a style word - enough for a first pass without a reference photo.

[clear front-facing portrait, even lighting] + "stylized cartoon version, keep the hairstyle and glasses"

Combining an image with text works well when you want to keep specific features from a photo but push the overall style away from realism.

Style directions

Four ways a character can read

Style comes from how you describe the character or what reference you provide, rather than a separate preset picker like core Rodin's 21 styles:

Realistic Cartoon Stylized Custom
Rigging & blendshapes

Facial rigging ships with the asset

This is the biggest functional difference from core Rodin: a ChatAvatar package includes facial controls, blendshapes, ARKit-compatible expressions, visemes and lip-sync support, aimed at real-time avatar workflows where a face needs to talk and emote without a rigger building that from scratch.

Full-body rigging, custom animation and any final cleanup beyond the facial system are still typically finished in a downstream DCC tool - see the Rodin to Blender guide for the general import and rigging considerations that apply to any generated character mesh.

ChatAvatar vs core Rodin

Which one should you use?

SituationBetter fit
You need a human or human-like character, face includedChatAvatar
You need lip-sync/ARKit blendshapes out of the boxChatAvatar
You need a prop, environment piece, vehicle or creatureCore Rodin
You want one of 21 named style presets across any subjectCore Rodin
You need a character AND a full prop set for the same projectChatAvatar for the cast, Rodin text-to-3D for everything around them
Use cases

What people build with ChatAvatar

Game NPCs & avatars

Cast characters and player avatars for games and virtual worlds

Digital hosts & presenters

Faces that talk, with visemes and lip-sync ready to drive

VR/AR & virtual identity

Embodied avatars for immersive and social spaces

Digital identity & social

A personal 3D likeness for profiles and social platforms

See it in action

ChatAvatar demos & walkthroughs

Thumbnail: Introducing ChatAvatar: Text/Image to 3D Avatar

Introducing ChatAvatar

The product intro, covering both text and image input paths.

Watch on YouTube ↗
Thumbnail: ChatAvatar AI Review: Make a 3D Avatar From Images & Text

Independent review

A hands-on look at avatar quality from both image and text input.

Watch on YouTube ↗
Thumbnail: This AI Creates Avatars In Minutes - ChatAvatar + Unity Tutorial

ChatAvatar into a game engine

Taking a generated avatar from ChatAvatar into Unity.

Watch on YouTube ↗
Thumbnail: Generate AI character from text - ChatAvatar

Text-only character generation

Building a character from a written description alone, no reference image.

Watch on YouTube ↗
FAQ

ChatAvatar: frequently asked questions

What is ChatAvatar?+

ChatAvatar is Hyper3D's character generation product - it produces nearly production-ready full-body 3D avatar assets, including a detailed face, a matching body mesh and PBR materials, from a text description, a reference image, or both.

How is ChatAvatar different from core Rodin text-to-3D or image-to-3D?+

Core Rodin is built for any object - props, environments, creatures - across 21 style presets. ChatAvatar is purpose-built for human and human-like characters specifically, and ships with facial controls, blendshapes and ARKit-compatible visemes that core Rodin doesn't generate.

What styles does ChatAvatar support?+

Realistic, cartoon, stylized and custom directions, driven by how you describe the character or what reference image you provide - there isn't a separate preset picker the way core Rodin's 21 styles work.

Does ChatAvatar include facial rigging?+

Yes. Generated packages include facial controls, blendshapes, ARKit-compatible expressions, visemes and lip-sync support for real-time avatar workflows. Full-body rigging, custom animation and final cleanup are typically still finished in a downstream DCC tool.

Do I need a specific plan to use ChatAvatar commercially?+

The Business plan explicitly includes a ChatAvatar commercial licence as one of the features that distinguishes it from Creator, so check the pricing page before shipping a ChatAvatar asset in a commercial product.