Model overview
Native GGUF package of Wan-AI/Wan2.2-S2V-14B with the official Quark-Vision/Live-Avatar LoRA merged for audio.cpp. LiveAvatar generates an audio-driven avatar video from a reference image, speech audio, and a text description. LiveAvatar can keep the denoiser transformer blocks in pinned host memory and stage one layer group at a time. This makes 720p generation possible near a 16 GiB VRAM limit, at the cost of additional host-to-device transfers. The validated 1280x720 run generated 93 frames at 16 FPS (5.81 seconds of video) in **276 seconds wall time** (4 minutes 36 seconds) and peaked at **15,993 MiB VRAM** on an RTX 5090.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。