Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
Landscape
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Sadik-Sikder/Itakhola_model", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of Heritage_of_comilla landscape in the Earth"
image = pipe(prompt).images[0]DreamBooth model for the Heritage_of_comilla concept trained by Sadik-Sikder on the Sadik-Sikder/itakhola dataset.
This is a Stable Diffusion model fine-tuned on the Heritage_of_comilla concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of Heritage_of_comilla landscape
Description
This is a Stable Diffusion model specialized on landscape images for the Landscape theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Sadik-Sikder/Itakhola_model')
image = pipeline().images[0]
image
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