Model overview
This LoRA is in pre-alpha stage. It will be a good flux/hidream/chroma LoRA but i need time to do my best. Many checkpoints there are overtrained/broken. I will try to fix that. I am currently experimenting on how to deal with distillation and other hyperparameters. It looks very problematic, even dev2pro is not a solution here. For now it seem that I need to use far bigger rank than 16 or 32. You can find dataset for this lora here: https://huggingface.co/datasets/GeorgyGUF/adidas-tracksuit-with-three-stripes-part1 I will improve this dataset too. You can follow me for updates, I will update this repo everyday and I think it will be renamed too.
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：来源未披露，须进一步核验。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。