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MultiTalk

Audio-driven model that generates conversational video of several people from multi-stream audio and a reference image.

Multi-person talking video from audio

Generate a conversation between several people, each lip-synced to their own audio.

Free forever · open source · Apache-2.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
5.9
ZEKAI
Multi-speaker talking video
Free & open source · Video
Ease of setup3
Usefulness6
Maintenance7
Community7.5
★ 3,036
GITHUB
May 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

MultiTalk is a framework from MeiGen-AI for audio-driven multi-person conversational video. Given separate audio streams, a reference image and a prompt, it renders people interacting with matching lip motion. It suits developers with a strong GPU.

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

What it is

The README describes multi-stream audio input plus a prompt, with multi-GPU inference, TeaCache, APG and a low-VRAM mode that runs 480P on one RTX 4090. The current code supports 480P only on a single GPU, and 720P needs multiple GPUs.

Who it's for

Suits researchers and developers building multi-speaker clips such as interviews. It does not suit users wanting a studio, templates or built-in voices.

Key features

Multi-stream audio

Separate audio tracks drive each person.

Prompt-guided interaction

A text prompt describes how the people interact.

Low-VRAM mode

480P on a single RTX 4090.

Multi-GPU inference

torchrun scripts spread work across GPUs.

TeaCache and APG

Acceleration and artifact-reduction options.

ComfyUI and Wan2GP

Community integrations reach 8 GB VRAM.

How to start

Up and running in 3 steps

1
Install PyTorch 2.4.1 (CUDA 12.1), xformers, flash-attn and requirements.txt.
2
Download the base model and MultiTalk weights from Hugging Face as listed.
3
Run the generation script with a JSON input listing the image, prompt and audio streams, adding the low-VRAM flag if needed.
Real talk

Our honest verdict

What's great

  • Apache-2.0 licence on the code.
  • Handles two or more speakers in one scene.
  • Documented low-VRAM and multi-GPU paths.
  • Community integrations for ComfyUI and 8 GB cards.

Where it falls short

  • Needs an NVIDIA GPU, PyTorch 2.4.1 with CUDA 12.1 and flash-attn.
  • The current code only does 480P; 720P needs multiple GPUs.
  • No voices, editor or text-to-speech.
  • Base model weights must be downloaded separately and are large.
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.

Paid work

Open remote AI-training roles

768 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Alternatives

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📄 Free PDF: MultiTalk for Video
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Questions

FAQ

Can MultiTalk make more than one person speak?

Yes. It takes a multi-stream audio input and drives each person with their own audio.

Does it run on one GPU?

Yes at 480P: the README says low-VRAM mode enables 480P on a single RTX 4090. 720P needs several GPUs.

Is MultiTalk free for commercial use?

The code is Apache-2.0; check the licence of the base model weights it downloads.

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