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("DeadBeast/random-animals-birds", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of lion in new york"
image = pipe(prompt).images[0]DreamBooth model for the animal concept trained by DeadBeast on the DeadBeast/dreambooth-images dataset.
This is a Stable Diffusion model fine-tuned on the animal concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of animal dog
Description
This is a Stable Diffusion model fine-tuned on random animal,birds unsplash images for the animals theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('DeadBeast/random-animals-birds')
image = pipeline().images[0]
image
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