When to consider MuseTalk
Consider MuseTalk for a controlled lip-sync experiment or a self-hosted starting point. Evaluate the edited face region at the size your users will see.
Pricing by mode
A practical open-source starting point for audio-driven lip synchronization. The project reports real-time throughput on a V100 after avatar preparation.
Code and weights available. Review dependency and model licenses.
| Detail | MuseTalk |
|---|---|
| Model | MuseTalk 1.5 |
| Full avatar usage rate | Your compute |
| Full billing basis | Your compute + conversation stack |
| Video-only usage rate | Your compute |
| Video billing basis | Your GPU costs |
| Full response timing | Your pipeline · Full response depends on your stack |
| Video timing | 30+ FPS · Throughput on NVIDIA Tesla V100 |
| Output resolution | 256 × 256 face · Edited face region, not the full output video |
| FPS | 30+ FPS · Inference throughput on Tesla V100 after avatar preparation |
| Custom motions | Lip sync only · Edits an existing face region; signature controls not verified |
| Moderation control | App controlled · Your app sets filters; model and license restrictions still apply |
| Deployment | Self-hosted |
Usage rates are one component of cost. Use the monthly calculator for supported plan allowances and session assumptions.
Monthly cost examples
A monthly total needs a verified plan quote or measured compute budget. Use the provider or project sources to establish billable units, preparation, and delivery costs before estimating.
Plan the integration
Prepare the avatar, run inference on your chosen GPU, and measure encoding and transport in addition to model execution. Include preprocessing and idle compute in your cost estimate.
Read the latency correctly
The project's 30+ FPS report uses a Tesla V100 after avatar preparation. It is neither a hosted API response time nor a universal hardware result.
It edits the face region. Throughput depends on GPU, preprocessing, and output handling; it is not a hosted conversational API.
Questions to verify before launch
- What is sustained end-to-end FPS on your actual GPU?
- How does the edited face region look in the full output video?
- What code and model licenses apply to the intended deployment?
Official sources
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