Upload the concept xmasv1 embeds and token

README.md

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+---
+license: creativeml-openrail-m
+tags:
+- text-to-image
+---
+### xmasv1 on Stable Diffusion via Dreambooth
+#### model by datasciencetony
+This your the Stable Diffusion model fine-tuned the xmasv1 concept taught to Stable Diffusion with Dreambooth.
+It can be used by modifying the `instance_prompt`: **house with xmas lights**
+
+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/datasciencetony/xmasv1/resolve/main/concept_images/0.jpeg)
+![image 1](https://huggingface.co/datasciencetony/xmasv1/resolve/main/concept_images/3.jpeg)
+![image 2](https://huggingface.co/datasciencetony/xmasv1/resolve/main/concept_images/2.jpeg)
+![image 3](https://huggingface.co/datasciencetony/xmasv1/resolve/main/concept_images/5.jpeg)
+![image 4](https://huggingface.co/datasciencetony/xmasv1/resolve/main/concept_images/1.jpeg)
+![image 5](https://huggingface.co/datasciencetony/xmasv1/resolve/main/concept_images/4.jpeg)
+

token_identifier.txt

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+house with xmas lights