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("mathpn/dreambooth-friendly-otter", dtype=torch.bfloat16, device_map="cuda")
prompt = "an ött3r otter flying over a city at night, neon lights, highly detailed, digital painting, artstation, concept art, sharp focus, illustration, art by artgerm and greg rutkowski and alphonse mucha, cinematic lighting"
image = pipe(prompt).images[0]DreamBooth model for the ött3r concept trained by mathpn on the mathpn/LeonardTheOtter dataset.
This is a Stable Diffusion model fine-tuned on the ött3r concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of ött3r otter
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 otter images for the animal theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('mathpn/dreambooth-friendly-otter')
image = pipeline().images[0]
image
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