Improve model card: Add pipeline tag and prominent paper/code links
#1
by
nielsr
HF Staff
- opened
README.md
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license: apache-2.0
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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tags:
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- stable-diffusion-xl
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- stable-diffusion
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- diffusers
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- text-to-image
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- inversion
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- dpo
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- fine-tuned
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library_name: diffusers
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---
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# Inversion-DPO
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Official Inversion-DPO weights fine-tuned from Stable Diffusion XL. Only the trained UNet module is provided.
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## Model Description
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This repository contains the fine-tuned UNet weights from the Inversion-DPO method, built upon Stable Diffusion XL. The model has been trained using Direct Preference Optimization (DPO) techniques combined with inversion methods to improve generation quality and alignment.
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**Code Repository:** https://github.com/MIGHTYEZ/Inversion-DPO
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## Quick Start
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```python
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image.save("output.png")
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```
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## Citation
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If you use this model in your research, please cite our work:
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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library_name: diffusers
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license: apache-2.0
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pipeline_tag: text-to-image
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tags:
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- stable-diffusion-xl
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- stable-diffusion
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- diffusers
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- inversion
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- dpo
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- fine-tuned
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---
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# Inversion-DPO
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Official Inversion-DPO weights fine-tuned from Stable Diffusion XL. Only the trained UNet module is provided.
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**Paper**: [Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models](https://huggingface.co/papers/2507.11554)
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**Code Repository**: https://github.com/MIGHTYEZ/Inversion-DPO
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## Model Description
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This repository contains the fine-tuned UNet weights from the Inversion-DPO method, built upon Stable Diffusion XL. The model has been trained using Direct Preference Optimization (DPO) techniques combined with inversion methods to improve generation quality and alignment.
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## Quick Start
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```python
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image.save("output.png")
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```
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## Citation
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If you use this model in your research, please cite our work:
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