Custom character design
Describe the stylized persona — aesthetic, color palette, costume — and generate the portrait.
AI VTuber Avatar Generator
Design a stylized animated persona, then make it talk with native lipsync.
How do I make an AI VTuber avatar that talks?
Generate a stylized character portrait in Canvas using Nano Banana Pro, then image-to-video it on Kling 3.0 Omni with native lipsync enabled. Input a script line and Kling 3.0 Omni animates the avatar mouth to match the audio — giving you a talking VTuber persona in a few steps.
Want to animate a still photo rather than build a persona from scratch? See the AI talking photo guide
A VTuber persona you generate and animate
What building an AI VTuber avatar looks like in Renoise.
Native lipsync
Kling 3.0 Omni animates the avatar mouth to sync with a spoken script line.
Animated clips
3–15s talking-persona clips at 720p or 1080p — suitable for stream overlays and short-form content.
Real face as base? FacePass
Using a real person's likeness as the avatar base requires FacePass consent clearance first.
Build an AI VTuber in 3 steps
From a character concept to a talking animated persona.
Step 1Design the avatar
Describe the VTuber look in Canvas — art style, outfit, hair, expression — and generate the character portrait using Nano Banana Pro.
Step 2Open the video model menu
Switch from image to video mode in Canvas, select Kling 3.0 Omni, and upload the avatar portrait as the reference frame.
Step 3Add a lipsync script and generate
Type the script line for the VTuber to deliver, enable lipsync, and generate. The output is a short animated talking clip.
VTuber avatar styles you can create
Stylized animated character clips made in Renoise — diverse aesthetics, all original fictional personas.
Anime-style persona
Big eyes, expressive hair — classic anime VTuber aesthetic.
Fantasy / game character
Armor, wings, or magical detail for a fantasy-themed streaming persona.
Talking-head stream clip
VTuber avatar delivering a line to camera, lip-synced.
Animated reaction clip
Short emotive gesture clip for use as a stream overlay moment.
VTuber avatar: stylized vs real face
Most VTubers use fictional characters — no clearance needed. If you want to base the avatar on a real likeness, FacePass is required.
| Avatar type | Fictional / generatedRecommended | Real face via FacePass |
|---|---|---|
| Design source | Prompted from scratch | Uploaded likeness, cleared via FacePass |
| Clearance needed | None | FacePass whitelist review |
| Lipsync (Kling 3.0 Omni) | ✓ | ✓ |
| Iteration speed | Instant re-prompt | Resubmit each change |
| Who can use | Anyone | Likeness owner / consent holder |
What makes a VTuber persona different from a generic avatar
A VTuber is a virtual streamer persona: a stylized animated character that stands in for the creator on camera, letting them broadcast or produce short-form content without showing their real face. The character is the brand — consistent look, name, aesthetic — rather than a utility tool.
Renoise approaches this through generation: you describe the persona in a prompt (style, color, costume, expression), generate the character as an image, and then bring it into motion using Kling 3.0 Omni. The native lipsync capability is what makes it work as a VTuber rather than just a still — you type a script line and the character mouth animates to match, giving you short content clips without rigging or motion-capture software.
Because the character is fully fictional and AI-generated, there is no likeness concern. The scenario where FacePass matters is when someone wants to base the avatar on their own real appearance — using a photo of themselves as the reference frame before stylizing. That is a real likeness, so it must clear the FacePass whitelist before entering video generation. For most VTuber use cases — a new character created from a text prompt — the workflow is direct, and the identity is wholly yours.
For a basic talking photo of an existing image without designing a new persona, the talking photo guide covers that differently.
Renoise capabilities used
VTuber avatar creation uses image models, Kling lipsync, and the Canvas in sequence.
Nano Banana Pro
Generate a detailed stylized portrait at up to 4K — the base avatar frame.
Kling 3.0 Omni lipsync
Animate the avatar mouth to a script — native, no post-processing needed.
FacePass
Real-face likeness clearance if the avatar is based on an actual person.
Canvas
Image and video generation in one workspace — generate, animate, stitch.
VTuber rigging software vs Renoise
Traditional VTuber rigging
- Commission a 2D / 3D artist for the model
- Rig it in Live2D or VRM for face tracking
- Requires webcam + face tracking hardware
- Heavy setup before any live content
- Hard to change the design after rigging
Renoise
- Prompt a character and generate it in Canvas
- Native lipsync without rigging or face tracking
- Short clips ready for upload, not live streams
- Iterate the design as fast as a new prompt
- Same canvas for images, video, and timeline editing
Choose your plan
One plan unlocks Nano Banana Pro, Kling 3.0 Omni, and the Canvas for avatar creation.
✓ Current Plan
Starter
$20/mo
Upgrade Plan1,200©/mo
$1.67 / 100©Generate up to 3,000 images or 150 videos every month.✓Watermark-free exports
✓20 FacePass Assets
✓Image Models
✓Video Models
✓ Current Plan
Standard
$60/mo
Upgrade Plan3,600©/mo
$1.67 / 100©Generate up to 9,000 images or 450 videos every month.✓Watermark-free exports
✓50 FacePass Assets
✓Latest Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
✓Latest Video Models
Seedance 2.0 HappyHorse 1.0
◈ Best Value✓ Current Plan
Advance
$200/mo
Upgrade Plan14,000©/mo
$1.43 / 100©Generate up to 35,000 images or 1,750 videos every month.✓Watermark-free exports
✓Unlimited FacePass Assets
✓Latest SOTA Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
✓Latest SOTA Video Models
Seedance 2.0 HappyHorse 1.0
Build your VTuber avatar
Design a stylized persona and animate it with native lipsync — all in Canvas.
Frequently asked questions
1.Can I create a custom AI VTuber character without drawing skills?
Yes. Describe the character in a text prompt — art style, hair, outfit, color palette — and Nano Banana Pro generates the portrait. You do not need to draw, rig, or commission an artist. Then animate it with Kling 3.0 Omni for talking clips.
2.Does AI VTuber lipsync work with my own voice?
Kling 3.0 Omni native lipsync takes a text script as input and animates the avatar mouth to match the spoken delivery. You can record your own voiceover separately and match timing to the clip. The lipsync generation itself is script-to-animation, not live voice-tracking.
3.How is AI VTuber different from AI avatar generation?
AI avatar generation is the broader capability — creating any kind of digital persona image. AI VTuber is a specific use case: a stylized animated character persona intended for streaming or short-form content, where the talking-head animation and lipsync are the central output. The avatar guide covers creation in general; this guide is focused on the VTuber streaming persona with animation.
4.Can I use my own face as the VTuber base?
Yes, but a real face is a likeness that needs consent clearance. Upload it to FacePass for whitelist review. Only after approval can that likeness be used as a reference frame in generation. FacePass is consent-first and the review is not guaranteed to pass.
5.What resolution do VTuber avatar clips export at?
Video clips generate at 720p or 1080p — standard for short-form platforms. The base portrait can be generated at up to 4K (image models), which gives a sharp source frame before animating.
6.Can I iterate the VTuber design quickly?
Yes — because the character is a generated image, you re-prompt and generate a new version any time. Adjust styling, swap the outfit, change the color — each variation is a new Canvas prompt. No rigging rework needed.
By Marvin, RenoiseLast reviewed Models verified: Kling 3.0 Omni, Nano Banana Pro