Qwen-Image-Edit-MeiTu

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🌈 Qwen-Image-Edit-MeiTu

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.

Developed by Valiant Cat AI Lab, this version aims to further close the gap between high-fidelity semantic editing and coherent artistic rendering, achieving a more natural and professional output across a wide range of prompts and subjects.

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✨ 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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🖼️ Showcase

Below are examples of consistency and aesthetic improvement in complex editing scenarios:

💬 Recommended Prompts

Try these prompts to explore the model’s strengths:

• “make the lighting soft and cinematic with better balance”
• “enhance the photo’s composition and maintain realism”
• “refine skin tone and texture consistency”
• “improve the global color tone and aesthetic harmony”
• “increase photo realism and clarity without changing content”

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🧩 Integration with ComfyUI

This model works seamlessly with a modified ComfyUI Qwen-Image-Edit workflow.
Just use this model in the Unet node to workflow for edit image.

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📥 Download Model

Weights available in Safetensors format:

👉 Download Qwen-Image-Edit-MeiTu

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🧠 Training

This model was trained and optimized by the
AI Laboratory of Chongqing Valiant Cat Technology Co., LTD.
Visit https://vvicat.com/ for business collaborations or research partnerships.

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📄 Related Paper

This model is part of the Qwen-Edit+ research line and is associated with the following preprint:

Fan Tang, Siyuan Li
Qwen-Edit+: Scaling Image Editing with VLM-Guided Consistency and Aesthetic Preference Distillation.
Research Square, Version 1, 08 April 2026.
DOI: 10.21203/rs.3.rs-9352857/v1

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📚 Citation

If you use this model, please cite:

@article{tang2026qweneditplus,
  author  = {Fan Tang and Siyuan Li},
  title   = {Qwen-Edit+: Scaling Image Editing with VLM-Guided Consistency and Aesthetic Preference Distillation},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-9352857/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-9352857/v1}
}

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📜 License

Licensed under Apache 2.0.

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💼 Join Us

We are hiring research engineers and creative ML practitioners at
Chongqing Valiant Cat Technology Co., LTD — reach out via
📧 [email protected]