IP-Adapter/README.md

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Project Page | Paper (ArXiv)

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Introduction

we present IP-Adapter, an effective and lightweight adapter to achieve image prompt capability for the pretrained text-to-image diffusion models. An IP-Adapter with only 22M parameters can achieve comparable or even better performance to a fine-tuned image prompt model. IP-Adapter can be generalized not only to other custom models fine-tuned from the same base model, but also to controllable generation using existing controllable tools. Moreover, the image prompt can also work well with the text prompt to accomplish multimodal image generation.

Release

• [2023/8/18] 🔥 Add code and models for SDXL 1.0. Demo is here.
• [2023/8/16] 🔥 We release the code and models.

Dependencies

• diffusers >= 0.19.3

Download Models

you can download models from here. To run the demo, you should also download the following models:

• runwayml/stable-diffusion-v1-5
• stabilityai/sd-vae-ft-mse
• SG161222/Realistic_Vision_V4.0_noVAE
• ControlNet models

How to Use

• ip_adapter_demo: image variations, image-to-image, and inpainting with image prompt.

• ip_adapter_controlnet_demo: structural generation with image prompt.

• ip_adapter_multimodal_prompts_demo: generation with multimodal prompts.

Citation

If you find IP-Adapter useful for your your research and applications, please cite using this BibTeX:

@article{ye2023ip-adapter,
  title={IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models},
  author={Ye, Hu and Zhang, Jun and Liu, Sibo and Han, Xiao and Yang, Wei},
  booktitle={arXiv preprint arxiv:2308.06721},
  year={2023}
}