|
--- |
|
license: creativeml-openrail-m |
|
tags: |
|
- pytorch |
|
- diffusers |
|
- stable-diffusion |
|
- text-to-image |
|
- diffusion-models-class |
|
- dreambooth-hackathon |
|
- animal |
|
widget: |
|
- text: a photo of fluffalpaca llama in front of the Colosseum in Rome |
|
--- |
|
|
|
# DreamBooth model for the fluffalpaca concept trained on the CCMat/db-aplaca dataset. |
|
|
|
This is a Stable Diffusion model fine-tuned on the fluffalpaca concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of fluffalpaca llama** |
|
|
|
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 |
|
|
|
|
|
This is a Stable Diffusion model fine-tuned on `llama` images for the animal theme.<br> |
|
|
|
### Training Hyperparemeters |
|
|
|
Pretrained Model: [stabilityai/stable-diffusion-2](https://huggingface.co/stabilityai/stable-diffusion-2)<br> |
|
Learning rate: 1e-6<br> |
|
Steps:1078<br> |
|
|
|
|
|
|
|
## Usage |
|
|
|
```python |
|
from diffusers import StableDiffusionPipeline |
|
|
|
pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fluffalpaca-llama-1078') |
|
image = pipeline().images[0] |
|
image |
|
``` |
|
|
