Improve model card

This PR improves the model card for VeraRetouch by adding the relevant pipeline tag, linking to the paper, project page, and GitHub repository, and providing detailed sample usage instructions for the various retouching modes (Auto, Style, and Param).

README.md

@@ -1,3 +1,66 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+pipeline_tag: image-to-image
+---
+
+# VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching
+
+VeraRetouch is a lightweight and fully differentiable framework for multi-task photo retouching. It employs a 0.5B Vision-Language Model (VLM) as the central intelligence to formulate retouching plans based on instructions and scene semantics, combined with a fully differentiable Retouch Renderer for direct end-to-end pixel-level training.
+
+[**Paper**](https://huggingface.co/papers/2604.27375) | [**Project Page**](https://apollo-yi.github.io/VeraRetouch/) | [**GitHub**](https://github.com/OpenVeraTeam/VeraRetouch)
+
+## 🚀 Quick Start
+
+### ⚙️ Environment Setup
+```bash
+# Clone the repository
+git clone https://github.com/OpenVeraTeam/VeraRetouch.git
+cd VeraRetouch
+
+# Create and activate conda environment
+conda create -n vera-retouch python=3.10
+conda activate vera-retouch
+pip install -r requirements.txt
+```
+
+### 🎨 Inference Modes
+VeraRetouch supports three primary inference modes via `inference.py`. Ensure you have downloaded the weights and placed them in the `./checkpoints` directory.
+
+#### Auto Retouch
+Automatically enhances an image based on scene analysis.
+```bash
+python inference.py --mode auto \
+                    --model-path ./checkpoints/VeraRetouch \
+                    --img_paths ./data_samples/input/sample_flower.jpg \
+                    --save_dir ./data_samples/output/
+```
+
+#### Style Retouch
+Retouches an image based on a specific user prompt.
+```bash
+python inference.py --mode style \
+                    --prompt "I want a dreamy bright pink style." \
+                    --model-path ./checkpoints/VeraRetouch \
+                    --img_paths ./data_samples/input/sample_flower.jpg \
+                    --save_dir ./data_samples/output/
+```
+
+#### Param Retouch
+Applies retouching based on specific operator parameters.
+```bash
+python inference.py --mode style \
+                    --instruction_path ./data_samples/param.json \
+                    --model-path ./checkpoints/VeraRetouch \
+                    --img_paths ./data_samples/input/sample_flower.jpg \
+                    --save_dir ./data_samples/output/
+```
+
+## Citation
+```bibtex
+@article{guo2026veraretouch,
+  title={VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching},
+  author={Guo, Yihong and Lyu, Youwei and Tang, Jiajun and Zhou, Yizhuo and Wang, Hongliang and Chen, Jinwei and Zou, Changqing and Fan, Qingnan},
+  journal={arXiv preprint arXiv:2604.27375},
+  year={2026}
+}
+```