Text-to-Image
Diffusers
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("Manwani/godsOnAravalliMountains", dtype=torch.bfloat16, device_map="cuda")
prompt = "a viking north druid lich mermaid king wise old man god of death with thunder in his eyes standing on the Aravalli mountains"
image = pipe(prompt).images[0]DreamBooth model for the godsOnAravalliMountains concept trained by Manwani on the Manwani/AravalliMountains dataset.
This is a Stable Diffusion model fine-tuned on the Gods concept with DreamBooth. It can be used by modifying the instance_prompt: Gods on Aravalli Mountains
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 aravalli mountains of my hometown Ajmer, which is an oldest cities in the Indian state of Rajasthan for the landscape theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Manwani/godsOnAravalliMountains')
image = pipeline().images[0]
image
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