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EchoMimicV3

1.3B-parameter human animation model from Ant Group that fits a 12 GB GPU through its Gradio UI.

Human animation on a 12 GB GPU

A 1.3B model from Ant Group that animates people from audio and other inputs.

Free forever · open source · Apache-2.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
5.3
ZEKAI
Light human animation model
Free & open source · Video
Ease of setup3
Usefulness6
Maintenance5.5
Community6.5
★ 1,122
GITHUB
Mar 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

EchoMimicV3 is Ant Group's unified multi-modal, multi-task human animation model with 1.3 billion parameters. It suits developers who want talking-person video on a single consumer GPU.

Runs on
Cross-platform
Hosting
Self-host
Languages
Python
License
Apache-2.0

What it is

The README says one model covers several animation tasks, and documents a 12 GB VRAM route through a Gradio UI and a 16 GB route through ComfyUI. It ships quick-inference scripts for the flash and preview variants.

Who it's for

Suits technical users and researchers running human animation locally. It does not suit non-technical presenters: there are no voices, templates or editor, and installation needs CUDA 12.1+ and manual weight downloads.

Key features

Unified animation model

One set of weights handles several human-animation tasks.

12 GB VRAM route

A Gradio UI documents running in 12 GB of VRAM.

ComfyUI support

A community ComfyUI node runs it in 16 GB.

Flash and preview variants

Separate quick-inference scripts for each variant.

Windows install guide

The README has a Windows installation section.

Apache-2.0 models

The README grants use of the models under Apache-2.0.

How to start

Up and running in 3 steps

1
Create a Python 3.10 or 3.11 environment with CUDA 12.1+ and run pip install -r requirements.txt.
2
Download the EchoMimicV3 weights and the base model files listed in the README into the expected folders.
3
Run run_flash.sh or infer_preview.py, or launch app_mm.py for the 12 GB Gradio UI.
Real talk

Our honest verdict

What's great

  • Apache-2.0 for the models, with the README claiming no rights over generated content.
  • Smaller 1.3B model with a documented 12 GB VRAM path.
  • Offers both Gradio and ComfyUI routes.
  • Earlier EchoMimic and EchoMimicV2 repos from the same team show sustained work.

Where it falls short

  • The README lists A100, RTX 4090D and V100 GPUs; consumer cards below 12 GB are not covered.
  • Needs CUDA 12.1+, Python 3.10 or 3.11 and several multi-gigabyte weight downloads.
  • No speech synthesis, editor or hosted service; you supply audio.
  • A research release, so expect rough edges and thin documentation.
Cost

Pricing & license

Free under Apache-2.0. The README lists no hosted or paid plan, so the only cost is your own or rented GPU time.

Paid work

Open remote AI-training roles

870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

How much VRAM does EchoMimicV3 need?

The README says a Gradio UI route works in 12 GB of VRAM and a ComfyUI route in 16 GB.

Is EchoMimicV3 free for commercial use?

The README states the models are under Apache-2.0 and that you keep freedom over generated content, within that licence.

Is it better than EchoMimicV2?

The README does not benchmark it against V2; check the paper on the project page before choosing.

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