license: creativeml-openrail-m
tags:
- keras
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- nature
inference: true
widget:
- text: a photo of puggieace dog on the beach, sunset in background
KerasCV Stable Diffusion in Diffusers 🧨🤗
DreamBooth model for the puggieace concept trained by nielsgl on the nielsgl/dreambooth-ace dataset.
It can be used by modifying the instance_prompt: a photo of puggieace dog
Description
The pipeline contained in this repository was created using a modified version of this Space for StableDiffusionV2 from KerasCV. The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with Diffusers. This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like schedulers, fast attention, etc.). This model was created as part of the Keras DreamBooth Sprint 🔥. Visit the organisation page for instructions on how to take part!
Examples
Portrait painting of a cute puggieace dog as a samurai
Photo of cute puggieace dog as an astronaut, space and planet in background
A photo of a cute puggieace dog getting a haircut in a barbershop
Portrait photo of puggieace dog in New York
Portrait of puggieace dog as a Roman Emperor, city in background
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('nielsgl/dreambooth-keras-pug-ace-sd2.1')
image = pipeline().images[0]
image