AUTOMATIC1111 Stable Diffusion WebUI vs text-generation-webui

TaglineThe most widely used web interface for running Stable Diffusion image generation locallyFeature-rich web UI for running large language models locally with multiple backends
CategoryAI & LLM ToolsAI & LLM Tools
ReplacesOpenAI APIChatGPT, OpenAI API
GitHub stars145k41k
LanguagePythonPython
LicenseAGPL-3.0AGPL-3.0
Self-host difficulty
2/5
Easy
2/5
Easy
Deploy options
Docker
Manual
Docker
Manual
Managed hosting
Last updated1 month ago1 month ago
View repoView repo

Where each falls short

The honest trade-offs — what you give up with each, versus the proprietary tools they replace.

AUTOMATIC1111 Stable Diffusion WebUI
  • Development pace has slowed; Forge fork is now more actively maintained
  • Requires a capable GPU (8 GB VRAM minimum for most modern models)
  • No built-in user accounts or API key auth for multi-user deployments
text-generation-webui
  • No built-in team/multi-user auth; single-user by default
  • Model management UI is less polished than commercial offerings
  • No native document RAG pipeline (requires extensions)

Bottom line

Both are a similar lift to self-host; choose AUTOMATIC1111 Stable Diffusion WebUI for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.

AUTOMATIC1111 Stable Diffusion WebUI

The most widely used web interface for running Stable Diffusion image generation locally

text-generation-webui

Feature-rich web UI for running large language models locally with multiple backends