Model overview
> 🆕 **New: a 3-step LoRA** takes Krea 2 Turbo from 8 steps down to 3, one step more than this LoRA, with more fine detail than both this and the 4-step LoRA (fine texture 1.13× the 8-step teacher's on its 22 test prompts). This 2-step LoRA stays the fastest of the three. **A quarter of the steps · 4× faster denoising (text encoding and VAE decode excluded) · fine detail at 0.92–1.02× the teacher's across all 12 trained resolutions, the grid bands at its level · colour close to the teacher's · 1 point missing of 352 on a blind prompt-adherence rubric · teacher preferred on 12 of 66 judged renders · 51,195 training samples on recorded teacher trajectories · 32 days on one RTX 3090 · released from settled weights; the project's final checkpoint.** A LoRA for **Krea 2 Turbo** that takes the model from **8 steps down to 2** — Turbo's own weights and sigmas, guidance 0.0, a quarter of the denoising passes — aiming at the best quality two steps can give. It is for **fast previews and drafts**; the **4-step LoRA** remains the recommendation for quality renders.
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
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Estimate monthly base token costs
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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。
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Sources & traceability
许可证：other。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。