Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("neuronaut/vasyalozhkin2-style", dtype=torch.bfloat16, device_map="cuda")
prompt = "vasyalozhkin style, painting of a dog flying in the sky"
image = pipe(prompt).images[0]DreamBooth model for the vasyalozhkin concept trained by neuronaut on the neuronaut/vasyalozhkin2 dataset.
This is a Stable Diffusion model v1.5 fine-tuned on Vasya Lozhkin paintings with DreamBooth. Used 8000 steps. It can be used by modifying the instance_prompt: vasyalozhkin style or vasyalozhkin
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 style images for the wildcard theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('neuronaut/vasyalozhkin2-style')
image = pipeline().images[0]
image
- Downloads last month
- 1