Model overview
> ⚡ **Demo:** MOSS-Image 4-Step Turbo Space > 🆕 **v2.0 (2026-10-18) — major update, usage changed.** The model is now > **Euler-native**: a single `lora.safetensors` that runs on the **stock > flow-matching Euler sampler** (any LoRA loader, 4 steps, CFG 1) — the custom > data-space sampler and the `time_embedding.safetensors` / > `dataspace.safetensors` files are **no longer needed and were removed from > the repo root**. If you used v1.x adapters, grab the old data-space variant > from `checkpoint-update-400/` (it keeps its own sampler), or switch to the > new one-line loader below. New users: just follow the Quickstart. The fastest high-fidelity MOSS-Image-SFT: **4 steps, no CFG, one LoRA file, stock sampler.** No custom loop, no auxiliary safetensors, no pipeline patches — it drops into any standard LoRA loader.
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。