agm-style-nao / README.md
John Smith
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---
license: mit
---
### agm-style on Stable Diffusion
This is the `<agm-style>` 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).
Here is the new concept you will be able to use as a `style`:
![<agm-style> 0](https://huggingface.co/sd-concepts-library/agm-style/resolve/main/concept_images/0.jpeg)
![<agm-style> 1](https://huggingface.co/sd-concepts-library/agm-style/resolve/main/concept_images/3.jpeg)
![<agm-style> 2](https://huggingface.co/sd-concepts-library/agm-style/resolve/main/concept_images/5.jpeg)
![<agm-style> 3](https://huggingface.co/sd-concepts-library/agm-style/resolve/main/concept_images/1.jpeg)
![<agm-style> 4](https://huggingface.co/sd-concepts-library/agm-style/resolve/main/concept_images/2.jpeg)
![<agm-style> 5](https://huggingface.co/sd-concepts-library/agm-style/resolve/main/concept_images/4.jpeg)