AUTOMATIC1111 Stable Diffusion WebUI vs ComfyUI
| Tagline | The most widely used web interface for running Stable Diffusion image generation locally | Node-based workflow engine for Stable Diffusion and modern image/video generation models |
| Category | AI & LLM Tools | AI & LLM Tools |
| Replaces | OpenAI API | OpenAI API |
| GitHub stars | 164k | 126k |
| Language | Python | Python |
| License | AGPL-3.0 | GPL-3.0 |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | Docker Manual | Docker Manual |
| Managed hosting | ||
| Last updated | 5 months ago | yesterday |
| View repo | View 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
ComfyUI
- Steep learning curve; node graphs become complex quickly
- No user management or auth out of the box
- Community custom nodes can conflict and break workflows
Bottom line
Both are a similar lift to self-host; choose AUTOMATIC1111 Stable Diffusion WebUI for the larger community and ecosystem. ComfyUI has seen more recent development. 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
ComfyUI
Node-based workflow engine for Stable Diffusion and modern image/video generation models