Generate images with stable-diffusion-webui, a tool for founders. 163k+ GitHub stars.
intermediateโฑ 30 minutes๐ต Free + optional LLM API costs
163,946 stars30,374 forksPythonQuality 8/10Updated 3/2/2026100% free ยท open source
What it is
Use a web interface to generate images with text prompts.
What you can make with it
Create realistic art, edited photos, and manipulated images.
How it helps
Access to image generation through a simple web interface makes it easier to experiment and explore the possibilities of AI-powered art.
Real use case example
"A digital artist can use this skill to generate concept art for a new game. They can open the web UI, select a starting image, and input a text description. With just a few clicks, they can have a unique, AI-generated image that sparks their creativity. They can then refine and edit the image to refine the outcome."
If you're new
Beginners can pick this up when they want to try AI-generated art without a steep learning curve.
If you're senior
Experienced artists and designers can reach for this when they need quick concept images for their projects.
Common confusion cleared up
This skill is based on an existing web interface, not a script that needs to be written or deployed.
Best inside these AI tools
GPT (ChatGPT)GeminiAntigravitySelf-hosted
Pairs with
Text data from a databaseA Notion page with description textA list of keywords for a product
Why we list it on WorkflowStacks: This skill is included because it can be used in its free and open-source form, making image generation more accessible.
What it does
Stable Diffusion web UI is a tool that allows you to generate images from text prompts using the Stable Diffusion model, with a user-friendly web interface
โขWhen you need to quickly generate images for marketing materials or social media posts
โขWhen you want to create concept art or prototypes for your product or service
โขWhen you need to generate images for data augmentation or machine learning model training
Quick start
1Run the web UI using the command `python webui-user.py`
2Open a web browser and navigate to `http://localhost:7860` to access the interface
3Configure the model settings in the `config.json` file to use a specific model or adjust other parameters
4Use the `--medvram` flag when running the web UI to optimize memory usage, e.g. `python webui-user.py --medvram`
5Load a pre-trained model using the `--load` flag, e.g. `python webui-user.py --load stable-diffusion-1.4`
Ready-to-paste prompt
To generate an image of a futuristic cityscape, use the prompt `A futuristic cityscape with sleek skyscrapers and flying cars, in the style of Syd Mead, 1024x512, ar 2:1, stable diffusion 1.4`
Heads up: Make sure you have a compatible version of Python (at least 3.8) and the necessary dependencies, including PyTorch and numpy, or you may encounter errors or compatibility issues
Saves to your device
Topics
ai
ai-art
deep-learning
diffusion
gradio
image-generation
image2image
img2img
pytorch
stable-diffusion
text2image
torch
txt2img
unstable
upscaling
web
What's inside โ free to inspect
No purchase needed
Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.