For people who want a description:

This model — Qwen-Image-Edit-MeiTu — is an improved variant of Qwen/Qwen-Image-Edit, built with DiT-based architecture fine-tuning to enhance visual consistency, aesthetic quality, and structural alignment in complex edits.

✨ Key Improvements

- Enhanced Consistency:
Utilizes DiT (Diffusion Transformer) fine-tuning to ensure structural stability between input and edited regions, maintaining global spatial coherence.

- Aesthetic Optimization:
Trained with aesthetic discriminators and curated aesthetic score datasets, producing more pleasing colors, contrast, and light balance.

- Better Detail Preservation:
Improved low-level reconstruction for fine details such as textures, faces, and typography.

- Broader Scene Adaptability:
Performs well on portraits, environments, product photos, and illustrations, supporting both semantic and appearance-based editing.

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Weight: 1.0–2.0, maintain consistency; recommended value: 1.5+

Also, here's a clearer example of the difference:

https://huggingface.co/valiantcat/Qwen-Image-Edit-MeiTu/resolve/main/preview/result4.png

https://huggingface.co/valiantcat/Qwen-Image-Edit-MeiTu/resolve/main/preview/result3.png

Excuse me, how to extract LoRA from the Qwen model?

有兴趣把小红书的也提取出来吗