Text-to-Image
Diffusers
Safetensors
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("AndrewNY/ccorgi-dog", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of ccorgi dog in the Acropolis"
image = pipe(prompt).images[0]DreamBooth model for the ccorgi concept trained by AndrewNY on the lewtun/corgi dataset.
This is a Stable Diffusion model fine-tuned on the ccorgi concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of ccorgi dog
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 dog images for the food theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('AndrewNY/ccorgi-dog')
image = pipeline().images[0]
image
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