Add model card information

README.md

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-Here we provide the FashionDPO models, including the checkpoint fine-tuned on the iFashion and Polyvore datasets, as well as the trained VBPR model.
+---
+pipeline_tag: image-to-image
+library_name: diffusers
+license: mit # Assuming MIT license.  Please verify and update if incorrect.
+---
+
+# FashionDPO: Fashion Image Generation with Direct Preference Optimization
+
+This repository provides FashionDPO models, including checkpoints fine-tuned on the iFashion and Polyvore datasets, and the trained VBPR model.  FashionDPO utilizes a novel approach to fashion image generation by incorporating direct preference optimization.  This allows for the generation of high-quality fashion images that align with user preferences. The model is based on [this paper](https://huggingface.co/papers/2504.12900).
+
+## Usage:
+
+The FashionDPO pipeline can be used to generate fashion images.  Refer to the [Github repository](https://github.com/Yzcreator/FashionDPO) for detailed usage instructions, including how to generate initial recommendations and incorporate feedback from multiple experts.  This includes instructions for running `sample.py` for image generation and `multiple_evaluate.py` for feedback generation.
+
+## Model Checkpoints:
+
+- `checkpoint_ifashion`: Fine-tuned on the iFashion dataset.
+- `checkpoint_polyvore`: Fine-tuned on the Polyvore dataset.
+
+These checkpoints are available in the repository.
+
+
+## Citation:
+
+(Add citation here once the paper is published and available)