Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Antiraedus/LeDude-dog", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of LeDude dog in the Acropolis"
image = pipe(prompt).images[0]DreamBooth model for the LeDude concept trained by Antiraedus on the Antiraedus/Dude dataset.
This is a Stable Diffusion model fine-tuned on the LeDude concept with DreamBooth, which is my 10 year old Australian Silky terrier.
It can be used by modifying the instance_prompt: a photo of LeDude 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 animal theme.
Original
Example
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Antiraedus/LeDude-dog')
image = pipeline().images[0]
image
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