|
--- |
|
license: creativeml-openrail-m |
|
tags: |
|
- pytorch |
|
- diffusers |
|
- stable-diffusion |
|
- text-to-image |
|
- diffusion-models-class |
|
- dreambooth-hackathon |
|
- wildcard |
|
widget: |
|
- text: a photo of a beautiful anime city in vioeva style |
|
--- |
|
|
|
# DreamBooth model for the vioeva concept trained by Antiraedus on the Antiraedus/Violet-Evergarden dataset. |
|
I FORGOT IT WAS GRAYSCALED |
|
|
|
This is a Stable Diffusion model fine-tuned on the vioeva concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of a girl in vioeva style** |
|
|
|
This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part! |
|
|
|
## Description |
|
Violet Evergarden!!!! |
|
Dataset [is located here](https://huggingface.co/datasets/Antiraedus/Violet-Evergarden) |
|
|
|
|
|
This is a Stable Diffusion model fine-tuned on `style` images for the wildcard theme. |
|
|
|
|
|
## Examples |
|
"a photo of a beautiful anime city in vioeva style" |
|
![](output_imgs.png) |
|
|
|
## Usage |
|
|
|
```python |
|
from diffusers import StableDiffusionPipeline |
|
|
|
pipeline = StableDiffusionPipeline.from_pretrained('Antiraedus/Violet-Evergarden-Style') |
|
image = pipeline().images[0] |
|
image |
|
``` |
|
|