IP Adapter Art：

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Introduction

IP Adapter Art is a specialized version that uses a professional style encoder. Its goal is to achieve style control through reference images in the text-to-image diffusion model and solve the problems of instability and incomplete stylization of existing methods. This is a preprint version, and more models and training data coming soon.

How to use

can be used to conduct experiments directly.

For local experiments, please refer to a demo.

Local experiments require a basic torch environment and dependencies:

pip install diffusers
pip install transformers
pip install git+https://github.com/openai/CLIP.git
pip install git+https://github.com/aihao2000/IP-Adapter-Art.git

More Examples

Citation

@misc{ipadapterart,
  author = {Hao Ai, Xiaosai Zhang},
  title = {IP Adapter Art},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/aihao2000/IP-Adapter-Art}}
}