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license: mit
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### ale on Stable Diffusion via Dreambooth
#### model by okale
This your the Stable Diffusion model fine-tuned the ale concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **sdk ipop**

You can also train your own concepts and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb).
And you can run your new concept via `diffusers`: [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts)

Here are the images used for training this concept:
![image 0](https://s3.amazonaws.com/moonup/production/uploads/1665197525948-630fa786dd31b2a8dbe4fd57.jpeg)
![image 1](https://s3.amazonaws.com/moonup/production/uploads/1665197526072-630fa786dd31b2a8dbe4fd57.jpeg)
![image 2](https://s3.amazonaws.com/moonup/production/uploads/1665197526041-630fa786dd31b2a8dbe4fd57.jpeg)
![image 3](https://s3.amazonaws.com/moonup/production/uploads/1665197526071-630fa786dd31b2a8dbe4fd57.jpeg)


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