buhu-art-style / README.md
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---
license: mit
library_name: diffusers
tags:
- textual_inversion
---
# sd-concepts-library-buhu-art-style
This repository contains a training script that fetches the list of artwork 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 Trainer. [![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)