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  ### buhu-art-style on Stable Diffusion
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  This is the `<buhu>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb).
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- Here is the new concept you will be able to use as a `style`:
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- add `<buhu>` in the prompt to generate digital illustration in the style of [buhu](https://www.artstation.com/buhu)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### buhu-art-style on Stable Diffusion
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  This is the `<buhu>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb).
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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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+
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+ - [![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) Open Stable Diffusion usage pipe in Colab. Modify your prompt at the end of the file.
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+ - [![Hugging Face Model](https://img.shields.io/badge/Hugging%20Face-ModelHub-orange)](https://huggingface.co/sd-concepts-library/buhu-art-style) Load pre-trainned model.
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+ - [![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) (Optional) if you want to train the model by yourself, use the Model Trainner.
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+
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+ ## Example
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+ generated image
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+ <img src="img/f1.png" width="250" height="250">
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+ <img src="img/f2.png" width="250" height="250">\
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+ human painted image
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+ <img src="img/h1.jpg" width="300" height="250">
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+ <img src="img/h2.jpg" width="250" height="250">
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