How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("prajwal13/pintu_dreambooth", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Model Card for Dreambooth model trained on My pet Pintu's images

This model is a diffusion model for unconditional image generation of my cute pet dog Pintu trained using Dreambooth concept. The token to use is sks .

Usage

from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('prajwal13/pintu_dreambooth')
image = pipeline('a photo of sks dog').images[0]
image

These are the images on which the dreambooth model is trained on

sks 0sks 1sks 2sks 3sks 4sks 5

Downloads last month
14
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support