Text-to-Image
Diffusers
PyTorch
English
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("malysheva42/spaeti_store_2", dtype=torch.bfloat16, device_map="cuda")
prompt = "a picture of spaeti store in the forest"
image = pipe(prompt).images[0]DreamBooth model for the spaeti concept trained by malysheva42 on the malysheva42/spaeti_store dataset.
This is a Stable Diffusion model fine-tuned on the spaeti (späti) concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of spaeti store
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 store images for the wildcard theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('malysheva42/spaeti_store_2')
image = pipeline().images[0]
image
Examples
a picture of spaeti store in the forest
a picture of spaeti store on the beach near the sea, best quality
a picture of spaeti store in the snow
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