Update README.md

README.md

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 license: apache-2.0
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-RunningHub Example Workflow:
+Hey everyone, I am xiaozhijason aka lrzjason! 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!
 
-https://www.runninghub.ai/post/1988649905554112513/?inviteCode=rh-v1279
+🎯 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.
 
-This lora is still in development.
-The lora is trained on qwen edit 2509
+⚙️ How to Use
+Base Model: Qwen Edit 2509
 
-The current version of this lora trained on very limited dataset.
+Recommended Strength: 0.75-0.9
 
-This project aims to provide a robust lora to change any style to realistic photograph.
+Prompt Template:
 
-Prompt:
+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!)
 
-change the picture 1 to realistic photograph, {description of image}
+📌 Important Notes
+This is an alpha version still in active development
 
-add more description to the prompt helps the model to identify the content of image and it might provide better transformation.
+Current release was trained on a limited dataset
 
-Recommended strength:
+The ultimate goal is to create a robust, generalized solution for style-to-photo conversion
 
-0.75-0.9
+Your feedback and examples would be incredibly valuable for future improvements!
 
-该lora仍在开发中
-
-目前的版本只在相当有限的训练集中训练
-
-该项目意在提供一个足够泛化的lora，将任意风格图像转换成真实照片
-
-提示词：
-
-change the picture 1 to realistic photograph 附加描述
-
-添加额外的“附加描述”能让模型更准确转换图像，不过不加也可以。
-
-推荐强度:
-
-0.75-0.9
+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.