lrzjason/QwenEdit-Anything2Real_Alpha

# [RELEASE] Anything2Real LoRA - Transform Any Art Style to Photorealistic Images with Qwen Edit 2509

Hey Stable Diffusion community! 👋

I'm excited to share my latest project - Anything2Real, a specialized LoRA built on the powerful Qwen Edit 2509 (mmdit editing model) that transforms ANY art style into photorealistic images!

🔗 Download: https://civitai.com/models/2121900?modelVersionId=2400325

🎯 What It Does

This LoRA is designed to convert illustrations, anime, cartoons, paintings, and other non-photorealistic images into convincing photographs while preserving the original composition and content.

⚙️ How to Use

• Base Model: Qwen Edit 2509 (mmdit editing model)
• Recommended Strength: 0.75-0.9
• Prompt Template:

change the picture 1 to realistic photograph, [description of your image]

• Adding detailed descriptions helps the model better understand content and produces superior transformations (though it works even without detailed prompts!)

📺 Example Workflow

Check out this practical implementation example on RunningHub: https://www.runninghub.ai/post/1988649905554112513/?inviteCode=rh-v1279

Node Information:

• 21 nodes including CLIPLoader, ConditioningZeroOut, ImageScaleBy, KSampler, LoadImage, LoraLoaderModelOnly, and specialized Qwen Edit nodes
• Powered by RTX 4090 Series

📌 Important Notes

• This is an alpha version still in active development
• Current release was trained on a limited dataset
• The ultimate goal is to create a robust, generalized solution for style-to-photo conversion
• Your feedback and examples would be incredibly valuable for future improvements!

💡 Why I Created This

I wanted to bridge the gap between artistic creations and photorealistic results without having to start from scratch. Whether you're an artist wanting to see your characters in realistic form, or just curious about transforming your favorite art styles into photographs, this tool is for you!

I'd love to see what you create with Anything2Real! Please share your results and suggestions in the comments. Every test case helps improve the next version.

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Note: For best results, follow the workflow demonstrated in the RunningHub example. Feel free to reach out with questions or collaboration ideas!

Contact

Feel free to reach out via any of the following channels:
Twitter: @Lrzjason
Email: [email protected]
QQ Group: 866612947
WeChat ID: fkdeai
CivitAI: xiaozhijason