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("Prgckwb/jiro-style-diffusion", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of jirostyle ramen noodles in the park"
image = pipe(prompt).images[0]DreamBooth model for the jirostyle concept trained by Prgckwb on the Prgckwb/jiro-style-ramen dataset.
This is a Stable Diffusion model fine-tuned on the jirostyle concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of jirostyle ramen noodles
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 ramen noodles images for the food theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Prgckwb/JiroStyle-ramen')
prompt = "a photo of jirostyle ramen noodles"
image = pipeline(prompt).images[0]
Generated Images
a watercolor painting of jirostyle ramen noodles
a photo of a dog eating jirostyle ramen noodles in the park
a photo of jirostyle ramen noodles on the table
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