File size: 1,848 Bytes
7d1ac1e 3b29453 7d1ac1e 6e5b02d 7d1ac1e f0c0b46 daf7b81 7d1ac1e 340705c ac4ab04 340705c ac4ab04 340705c 47726ec 340705c ac4ab04 340705c 47726ec 340705c ac4ab04 340705c 47726ec 340705c ac4ab04 340705c 47726ec 340705c ac4ab04 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
datasets: CCMat/db-aplaca
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.
### Training Hyperparemeters
Pretrained Model: [stabilityai/stable-diffusion-2](https://huggingface.co/stabilityai/stable-diffusion-2)<br>
Learning rate: 1e-6<br>
Steps:1100<br>
## Usage
```python
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fluffalpaca-llama-1100')
image = pipeline().images[0]
image
```
## Samples
Prompt: "fluffalpaca llama in space by Enki Bilal"
Prompt: "fluffalpaca llama in front of the Eiffel Tower"
Prompt: "a photo of fluffalpaca llama swimming in the river"
Prompt: "a photo of fluffalpaca llama in front of the Colosseum in Rome, professional photograph"
Prompt: "USSR propoganda poster. Long live the fluffalpaca llama"
|