Model overview
Quantized GGUF versions of **task-arithmetic merged** ACE-Step v1.5 XL DiT models, ready for use with C++ inference engines. These are **DiT (Diffusion Transformer)** models created by merging the official ACE-Step v1.5 XL checkpoints using task arithmetic. Task arithmetic blends the learned "task vectors" of two fine-tuned models at a controlled interpolation ratio, producing models that inherit qualities from both parents. - **SFT × Turbo** blends combine SFT's strong lyric adherence and musical structure with Turbo's faster convergence and energy - **Base × Turbo** blends bring Base's raw generative range together with Turbo's efficiency - Different ratios let you dial the trade-off to taste — lower λ for more structure, higher λ for more speed
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。