diffusers license:mit autotrain_compatible endpoints_compatible diffusers:StableDiffusionPipeline region:us
---
license: mit
---
### monero on Stable Diffusion via Dreambooth
#### model by jin4321
This your the Stable Diffusion model fine-tuned the monero concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **a logo of sks**

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://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/0.jpeg)
![image 1](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/7.jpeg)
![image 2](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/3.jpeg)
![image 3](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/9.jpeg)
![image 4](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/4.jpeg)
![image 5](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/5.jpeg)
![image 6](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/1.jpeg)
![image 7](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/6.jpeg)
![image 8](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/2.jpeg)
![image 9](https://huggingface.co/sd-dreambooth-library/monero/resolve/main/concept_images/8.jpeg)

