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("palsd/yum_vada_pav", dtype=torch.bfloat16, device_map="cuda")
prompt = "Eating yum_vada_pav vada pav with glass of chai while sitting at the bench in Antarctica in midst of glaciers"
image = pipe(prompt).images[0]DreamBooth model for the yum_vada_pav concept trained by palsd on the palsd/dreambooth_hackathon_vada_pav dataset.
This is a Stable Diffusion model fine-tuned on the yum_vada_pav concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of yum_vada_pav vada pav
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 vada pav images for the food theme. Being foodie and Indian street foods lover, thought to play with stable diffusion model for Vada pav (Indian burger) images so I can enjoy dream of eating it in the midst of glaciers :)
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('palsd/yum_vada_pav')
image = pipeline().images[0]
image
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