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README.md

@@ -12,7 +12,7 @@ library_name: transformers
 * Apr 25, 2025: 👋 We release the inference code and model weights of Step1X-Edit. [inference code](https://github.com/stepfun-ai/Step1X-Edit)
 * Apr 25, 2025: 🎉 We have made our technical report available as open source. [Read](https://arxiv.org/abs/2504.17761)
 
-## Image Edit Demos
+<!-- ## Image Edit Demos -->
 
 <div align="center">
 <img width="720" alt="demo" src="assets/image_edit_demo.gif">
@@ -31,8 +31,7 @@ images using a DiT-based network.More details please refer to our [technical rep
 
 
 ## Benchmark
-We release [GEdit-Bench](https://huggingface.co/datasets/stepfun-ai/GEdit-Bench) as a new benchmark, grounded in real-world usages is developed to support more authentic and comprehensive evaluation. This benchmark, which is carefully curated to reflect actual user editing needs and a wide range of editing scenarios, enables more authentic and comprehensive evaluations of image editing models.
-The evaluation process and related code can be found in [GEdit-Bench/EVAL.md](GEdit-Bench/EVAL.md). Part results of the benchmark are shown below:
+We release [GEdit-Bench](https://huggingface.co/datasets/stepfun-ai/GEdit-Bench) as a new benchmark, grounded in real-world usages is developed to support more authentic and comprehensive evaluation. This benchmark, which is carefully curated to reflect actual user editing needs and a wide range of editing scenarios, enables more authentic and comprehensive evaluations of image editing models. Part results of the benchmark are shown below:
 <div align="center">
 <img width="1080" alt="results" src="assets/eval_res_en.png">
 </div>