Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
science
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("dreambooth-hackathon/glxy-galaxy", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of glxy galaxy"
image = pipe(prompt).images[0]DreamBooth model for glxy trained by lewtun on the lewtun/galaxies dataset.
This your the Stable Diffusion model fine-tuned the glxy concept taught to Stable Diffusion with DreamBooth.
It can be used by modifying the instance_prompt: a photo of glxy galaxy
This model was created as part of the DreamBooth Hackathon. Visit the organisation page for instructions on how to take part!
Description
Describe your model and concept here.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('dreambooth-hackathon/glxy-galaxy')
image = pipeline().images[0]
image
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