--- license: apache-2.0 language: - en - zh library_name: diffusers pipeline_tag: text-to-image tasks: - text-to-image-synthesis base_model: - Qwen/Qwen-Image-2512 frameworks: PyTorch base_model_relation: finetune --- ## Real-Qwen-Image-V2(2512) 本模型为 Qwen-Image-2512 的微调模型,比官方模型具有更好的锐度和真实感,以及对亚洲人脸美学进行了优化。具体效果参见如下示例图片,本模型易于使用、参数适配性和LoRA兼容性良好,文字和出图品质俱佳,真正的开源生产力工具。 This model is a fine-tuned version of Qwen-Image-2512, have better sharpness and realism than the official model, and it has been optimized for the aesthetics of Asian faces. For specific effects, see the sample images below. This model is easy to use, has good parameter adaptability and LoRA compatibility, with excellent text and image quality, making it a truly open-source productivity tool. ### 使用方法: basic workflow pls refer to: [V2-example-workflow.json](https://www.modelscope.cn/models/wikeeyang/Real-Qwen-Image-V2/file/view/master/V2-example-workflow.json) or [V2-example-workflow-image](https://huggingface.co/wikeeyang/Real-Qwen-Image-V2/blob/main/V2-example-workflow-image.png) model shift: 1.0 - 8.0; inference cfg: 1.0 -4.0; inference steps: 10 -50; sampler / scheduler: euler / simple ,or any other。 Also on: [Modelscope](https://www.modelscope.cn/models/wikeeyang/Real-Qwen-Image-V2), [Civitai](https://civitai.com/models/1898752) ### 致谢: 感谢 [kanttouchthis](https://github.com/kanttouchthis) 提供量化脚本,sdnq_uint4_r128 量化版本模型,出图品质能达到 Q6 以上,接近 Q8,欢迎大家试用,需要安装 [ComfyUI-SDNQ](https://github.com/kanttouchthis/ComfyUI-SDNQ) 插件。 Much thanks to [kanttouchthis](https://github.com/kanttouchthis) for providing the quantization script and the sdnq_uint4_r128 quantized model. The image quality can reach above Q6, nearly Q8. Everyone is welcome to try it; the [ComfyUI-SDNQ](https://github.com/kanttouchthis/ComfyUI-SDNQ) plugin needs to be installed. ### 模型许可: Qwen-Image is licensed under Apache 2.0.
