MODEL PROFILE

qwen-edit-skin

tlennon-ie · qwen-edit-skin

EDIT- Version 1.1 uploaded with better convergence, less artifacts and more room in strengths to play with. See "Full comparision" examples in the image folder here. Finetuned LoRA for Enhanced Skin Realism in Qwen-Image-Edit-2509 You can find a deeper dive article into my approach for this LORA here on LinkedIn: This repository contains a finetuned Low-Rank Adaptation (LoRA) model designed to enhance the realism and detail of human skin in images. The LoRA has been trained on top of the powerful Qwen/Qwen-Image-Edit-2509 model, leveraging its advanced image editing capabilities to focus specifically on generating more natural and detailed skin textures. This model was trained for 5000 steps on a local RTX 5090 using the AI-Toolkit. The resulting LoRA is ideal for photographers, digital artists, and anyone looking to improve the quality of human subjects in their generated or edited images.

Image editinglicense:apache-2.0
Context windowNot disclosed
Input → OutputImage → Image
Model weightsNot verified
Profile updated2026/10/30 03:44:19
OVERVIEW

Model overview

EDIT- Version 1.1 uploaded with better convergence, less artifacts and more room in strengths to play with. See "Full comparision" examples in the image folder here. Finetuned LoRA for Enhanced Skin Realism in Qwen-Image-Edit-2509 You can find a deeper dive article into my approach for this LORA here on LinkedIn: This repository contains a finetuned Low-Rank Adaptation (LoRA) model designed to enhance the realism and detail of human skin in images. The LoRA has been trained on top of the powerful Qwen/Qwen-Image-Edit-2509 model, leveraging its advanced image editing capabilities to focus specifically on generating more natural and detailed skin textures. This model was trained for 5000 steps on a local RTX 5090 using the AI-Toolkit. The resulting LoRA is ideal for photographers, digital artists, and anyone looking to improve the quality of human subjects in their generated or edited images.

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.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

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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Frequently asked questions

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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。