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license: mit |
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# sd-concepts-library-buhu-art-style |
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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). |
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## Usage |
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- 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) |
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- 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) |
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- (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) |
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## Example |
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human painted image |
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![alt text](img/h2.jpg) |
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![alt text](img/h1.jpg) |
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generated image |
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![alt text](img/f1.png) |
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![alt text](img/f2.png) |
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