Model overview
The `fl2va` half of the comfy-native set. If you want `ref2va`, it is over here — same formats, same method, different job. **Stock ComfyUI 0.32+ loads these directly.** No ComfyUI-GGUF, no custom loader node, no dequantise-on-the-fly. ComfyUI carries its own quantisation system (`comfy/quant_ops.py` plus the `comfy_kitchen` kernels) and these files use it, so the kernels run in the quantised domain instead of unpacking to bf16 first. `fl2va` is the first/last-frame variant. It has **no reference rows**, so voice anchoring, the identity bank and reference images do nothing on it. In exchange it does the one thing `ref2va` cannot:
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。