Run Stable Diffusion Locally: ComfyUI vs Fooocus vs A1111

Run Stable Diffusion Locally: ComfyUI vs Fooocus vs A1111

TThumper Team2026-03-10T08:00:00Z11 min read
stable-diffusioncomfyuifooocusimage-generation

Compare the three most popular Stable Diffusion interfaces for local image generation on your hardware.

The Three Frontrunners

If you want to run Stable Diffusion on your own machine, you have three main options: ComfyUI, Fooocus, and Automatic1111 (A1111). Each takes a different approach to the same underlying models. All three are available in the Thumper-Run catalog.

ComfyUI: The Power User's Choice

ComfyUI presents a node-based graph editor where you wire together individual operations—load checkpoint, encode prompt, sample, decode, save. This gives you full control over every step of the pipeline.

Strengths:

  • Build any pipeline: inpainting, ControlNet, IP-Adapter, LoRA stacking, regional prompting
  • Visual debugging—you can inspect the output of any node
  • Workflow sharing via JSON files
  • Active custom node ecosystem (1,500+ nodes)

Weaknesses:

  • Steep learning curve for beginners
  • Node graph can become unwieldy for complex workflows
  • No built-in prompt history or gallery

Read our ComfyUI getting started guide for a step-by-step walkthrough.

Fooocus: The Simplest Option

Fooocus is designed to feel like Midjourney but running locally. You type a prompt, pick a style, and click generate. There are no nodes, no graphs, and minimal settings.

Strengths:

  • Fastest path to your first image—install, type, generate
  • Built-in style presets (cinematic, anime, photographic, etc.)
  • Inpainting and outpainting with a simple brush tool
  • Automatic quality enhancements (prompt expansion, negative prompt defaults)

Weaknesses:

  • Limited customization—you cannot build novel pipelines
  • Fewer model format options (primarily SDXL checkpoints)
  • Smaller plugin ecosystem compared to ComfyUI

A1111: The Original

Automatic1111's Web UI was the first widely-used Stable Diffusion interface. It offers a tab-based UI with text-to-image, image-to-image, inpainting, and extras tabs.

Strengths:

  • Mature and well-documented
  • Huge extension library
  • Built-in prompt history, X/Y/Z plot, and image gallery
  • Familiar to most SD users

Weaknesses:

  • Slower development pace than ComfyUI
  • Performance overhead compared to ComfyUI (Python-heavy pipeline)
  • Extension conflicts are common

Performance Comparison

On an RTX 4060 Ti (8 GB VRAM) generating a 1024×1024 SDXL image at 30 steps:

  • ComfyUI: ~18 seconds
  • Fooocus: ~22 seconds (includes prompt enhancement overhead)
  • A1111: ~25 seconds

ComfyUI is fastest because it compiles an optimized execution graph and reuses cached intermediate results.

VRAM Requirements

All three run the same underlying models, so VRAM requirements are similar:

  • SD 1.5: 4 GB minimum, 6 GB comfortable
  • SDXL: 6 GB minimum, 8 GB comfortable
  • FLUX: 10 GB minimum, 12 GB comfortable

See our VRAM guide for a complete breakdown by model and resolution.

Which Should You Pick?

  • New to AI art? Start with Fooocus. You will be generating images in under five minutes.
  • Want full control? Use ComfyUI. The learning curve pays off with unlimited flexibility.
  • Already using A1111? Keep using it if your workflows depend on specific extensions. Otherwise, consider migrating to ComfyUI for better performance.

All three install in one click through Thumper-Run. The GPU detection system configures each one automatically for your hardware.

Ready to try it? Download Thumper-Run free →

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Thumper Team

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