File size: 3,012 Bytes
f9bc209 884f8cb f9bc209 884f8cb 3602d02 884f8cb f334806 884f8cb f334806 884f8cb 366b9bf 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb 7ffbee7 884f8cb d7ec3fc 884f8cb d7ec3fc 884f8cb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
---
license: apache-2.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
---
# PhotoMaker Model Card
<div align="center">
[**Project Page**](https://photo-maker.github.io/) **|** [**Paper (ArXiv)**](https://arxiv.org/abs/2312.04461) **|** [**Code**](https://github.com/TencentARC/PhotoMaker)
[🤗 **Gradio demo (Realistic)**](https://huggingface.co/spaces/TencentARC/PhotoMaker) **|** [🤗 **Gradio demo (Stylization)**](https://huggingface.co/spaces/TencentARC/PhotoMaker-Style)
</div>
## Introduction
<!-- Provide a quick summary of what the model is/does. -->
Users can input one or a few face photos, along with a text prompt, to receive a customized photo or painting within seconds (no training required!). Additionally, this model can be adapted to any base model based on SDXL or used in conjunction with other LoRA modules.
### Realistic results
### Stylization results
More results can be found in our [project page](https://photo-maker.github.io/)
## Model Details
It mainly contains two parts corresponding to two keys in loaded state dict:
1. `id_encoder` includes finetuned OpenCLIP-ViT-H-14 and a few fuse layers.
2. `lora_weights` applies to all attention layers in the UNet, and the rank is set to 64.
## Usage
You can directly download the model in this repository.
You also can download the model in python script:
```python
from huggingface_hub import hf_hub_download
photomaker_ckpt = hf_hub_download(repo_id="TencentARC/PhotoMaker", filename="photomaker-v1.bin", repo_type="model")
```
Then, please follow the instructions in our [GitHub repository](https://github.com/TencentARC/PhotoMaker).
## Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
- The model's customization performance degrades on Asian male faces.
- The model still struggles with accurately rendering human hands.
## Bias
While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
## Citation
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```bibtex
@inproceedings{li2023photomaker,
title={PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding},
author={Li, Zhen and Cao, Mingdeng and Wang, Xintao and Qi, Zhongang and Cheng, Ming-Ming and Shan, Ying},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2024}
}
``` |