license: creativeml-openrail-m | |
tags: | |
- pytorch | |
- diffusers | |
- stable-diffusion | |
- text-to-image | |
- diffusion-models-class | |
- dreambooth-hackathon | |
- food | |
datasets: morgan/tortas | |
widget: | |
- text: a photo of a field of tortas | |
# DreamBooth model for the torta concept trained by morgan on the morgan/tortas dataset. | |
This is a Stable Diffusion model fine-tuned on the torta concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of a torta sandwich** | |
See the ongoing experiments here in this [Weights & Biases training journal](https://wandb.ai/morgan/hf-dreambooth/reports/Training-Journal-DreamBooth-fine-tuning--VmlldzozMjA4MzE4#jan-1,-11:50---try-add-%22sandwich%22-class-to-the-training-prompt---success!) | |
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! | |
Note that commit `8f89857b2b2a6f75c443eac298f022483ef23a3f` uses the concept name `zztortazz` instead of `torta`, to see if this more unique concept name works better (spoiler, it doesn't) | |
## Description | |
This is a Stable Diffusion model fine-tuned on images of tortas. | |
## Usage | |
```python | |
from diffusers import StableDiffusionPipeline | |
pipeline = StableDiffusionPipeline.from_pretrained('morgan/torta') | |
image = pipeline().images[0] | |
image | |
``` | |