Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
food
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("dacquaviva/focacciabarese-pizza", dtype=torch.bfloat16, device_map="cuda")
prompt = "focacciabarese pizza with a nice sea view."
image = pipe(prompt).images[0]DreamBooth model for the focacciabarese concept trained by dacquaviva on the dacquaviva/focacciabarese dataset.
This is a Stable Diffusion model fine-tuned on the focacciabarese concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of facacciabarese pizza
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on my pizza images for the food theme. In Bari (Puglia south of Italy), the focaccia is a kind of bread, seasoned with tomatoes, olives, virgin olive oil, and oregano. It is made with poor, very simple, and local ingredients. :).
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('dacquaviva/focacciabarese-pizza')
image = pipeline().images[0]
image
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