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license: mit
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### kaltsit_v2 on Stable Diffusion via Dreambooth
This your the Stable Diffusion model fine-tuned the kaltsit_v2 concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **kaltsit**
v2 update: 1. increase sample size. more stable results. 2. prompt update: kaltsit. 3. prior update: cat girl
Use the model in Google Colab:
[](https://colab.research.google.com/drive/11yzVX9rNEkzMBq6rj1HyQxkDjllI4P1-)
Here is an example output:
prompt = "detailed wallpaper of kaltsit on beach, green animal ears, white hair, green eyes, cleavage breasts and thigh, by ilya kuvshinov and alphonse mucha, strong rim light, splash particles, intense shadows, by Canon EOS, SIGMA Art Lens"
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) |