metadata
title: SSD-1B Playground
description: Interactive playground of a lighter and faster version of Stable Diffusion XL
version: EN
Try out this model on VESSL Hub.
This examples runs an inference app for SSD-1B. After launching, you can access a streamlit web app to generate images with your own prompts. The Segmind Stable Diffusion Model (SSD-1B) is a distilled 50% smaller version of the Stable Diffusion XL (SDXL), offering a 60% speedup while maintaining high-quality text-to-image generation capabilities.
Running the model
You can run the model with our quick command.
vessl run create -f ssd-streamlit.yaml
Here's a raundom of the ssd-streamlit.yaml file.
name: SSD-1B-streamlit
description: A template Run for inference of SSD-1B with streamlit app
resources:
cluster: vessl-gcp-oregon
preset: v1.l4-1.mem-42
image: quay.io/vessl-ai/hub:torch2.1.0-cuda12.2-202312070053
import:
/code/:
git:
url: https://github.com/vessl-ai/hub-model
ref: main
/model/: hf://huggingface.co/VESSL/SSD-1B
run:
- command: |-
pip install --upgrade pip
pip install -r requirements.txt
pip install git+https://github.com/huggingface/diffusers
streamlit run ssd_1b_streamlit.py --server.port=80
workdir: /code/SSD-1B
interactive:
max_runtime: 24h
jupyter:
idle_timeout: 120m
ports:
- name: streamlit
type: http
port: 80