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---
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.
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