---
title: StyleShot
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/StyleShot"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/StyleShot.md"
repository: AI-ModelScope/StyleShot
last_updated: 2026-06-09
license: mit
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
library_name:
  - lora
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 2
stars: 1
tags:
  - text-to-image
  - style-transfer
  - stable-diffusion
---

# StyleShot

> StyleShot - AI-ModelScope 在 ModelScope 开源的模型。StyleShot Model Card

AI-ModelScope/StyleShot 是 ModelScope 魔搭社区上的text-to-image-synthesis模型，采用 mit 许可。

- **Repository**: AI-ModelScope/StyleShot
- **License**: mit
- **Tasks**: text-to-image-synthesis
- **Tags**: text-to-image, style-transfer, stable-diffusion
- **Downloads**: 2
- **Stars**: 1
- **Last updated**: 2026-06-09

Source: https://www.modelscope.cn/models/AI-ModelScope/StyleShot

---

# StyleShot Model Card


<div align="center">

[**Project Page**](https://styleshot.github.io) **|** [**Paper (ArXiv)**](https://arxiv.org/abs/2407.01414) **|** [**Code**](https://github.com/open-mmlab/StyleShot)
</div>

---


## Introduction

we present StyleShot, a generalized plug-to-play style transfer method, capable of generating the high-quality stylized images that match the desired style from any reference image without test-time style-tuning. To the best of our knowledge, To the best of our knowledge, StyleShot is the first work to designate a style-aware encoder based on Stable Diffusion and a content-fusion encoder for better style and content integration, achieving the state-of-the-art text and image-driven style transfer performance compared to existing methods.

![arch](./framework.png)

## Models

### StyleShot for SD 1.5
- [ip.bin](https://huggingface.co/Gaojunyao/StyleShot/blob/main/pretrained_weight/ip.bin): weights for ip-adapter and our content-retention encoder.
- [style_aware_encoder.bin](https://huggingface.co/Gaojunyao/StyleShot/blob/main/pretrained_weight/style_aware_encoder.bin): weights for style-aware encoder.

## Disclaimer
We develop this repository for RESEARCH purposes, so it can only be used for personal/research/non-commercial purposes.