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("Someman/food-momos", dtype=torch.bfloat16, device_map="cuda")
prompt = "dog eating food momos"
image = pipe(prompt).images[0]DreamBooth model for the food concept trained by Someman on the Someman/momo dataset.
This is a Stable Diffusion model fine-tuned on the food concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of food momos
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 momos images for the food theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Someman/food-momos')
image = pipeline().images[0]
image
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