| 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 | |
| ``` | |