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---
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](https://vessl.ai/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)](https://www.segmind.com/) 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.
<img
className="rounded-md"
src="/images/ssd-streamlit.png"
/>
## Running the model
You can run the model with our quick command.
```sh
vessl run create -f ssd-streamlit.yaml
```
Here's a raundom of the `ssd-streamlit.yaml` file.
```yaml
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
```
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