README.md

---
license: mit
---

# sd-concepts-library-buhu-art-style

This repository contains a trainning script that fetch the list of art work produced by [![ArtStation](https://img.shields.io/badge/ArtStation-Profile-blue)](https://www.artstation.com/buhu)[Bruce](https://bruceelysium.com) and a Stable Diffusion pipe that generates images using the model, under the instruction of [Stable Diffusion concepts library](https://huggingface.co/sd-concepts-library). 

## Usage

- Open Stable Diffusion usage pipe in Colab. Edit your prompt with tag \<buhu\> at the end of the file.  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/bsyh/sd-concepts-library-buhu-art-style/blob/main/stable_conceptualizer_inference.ipynb)
- Load pre-trainned model. [![Hugging Face Model](https://img.shields.io/badge/Hugging%20Face-ModelHub-orange)](https://huggingface.co/sd-concepts-library/buhu-art-style)
- (Optional) if you want to train the model by yourself, use the Model Trainner. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/bsyh/sd-concepts-library-buhu-art-style/blob/main/sd_textual_inversion_training.ipynb)

## Example
human painted  image
![alt text](img/h2.jpg)
![alt text](img/h1.jpg)
generated image
![alt text](img/f1.png)
![alt text](img/f2.png)