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ComfyUI vs Forge

Forge runs locally. It’s an open-source fork of the Stable Diffusion Web UI—not a cloud product. If you read otherwise in an old database row, that was wrong. Now the real comparison: Gradio tabs (Forge) versus ComfyUI’s node graph—prove the claim that fits your hands, not forum hype.

Feature Comparison

Feature Forge ComfyUI
Runs Locally Yes Yes
Open Source Yes Yes
NSFW Allowed Yes Yes
Type Local / Offline Local / Offline

Quick Verdict — March 2026

Forge = familiar A1111-style UI with a forked backend tuned for many SDXL-era pains. ComfyUI = maximum flexibility and workflow files—at the cost of learning graph logic.

Pick Forge if you want tabs + extensions without nodes. Pick ComfyUI if you’ll save graphs as code and accept setup overhead.

Side-by-side spec table

Forge (SD Web UI fork) ComfyUI
UI type Browser tabs, prompts, img2img—A1111-shaped Node graph—wires between operations
Runs locally Yes Yes
Open source Yes Yes
Extension model Large A1111 ecosystemnot 100% parity Custom nodes—different packaging, huge variety
Strength Fast mental switch from A1111/Forge muscle memory Composable automation and shared JSON
Best for Prompt → image with classic controls Pipelines, video, multi-stage graphs

Where Forge wins—actually test this

  • Same vocabulary as half the internet’s tutorials: txt2img, hires fix, ControlNet tabs—if the fork’s merge kept your pet feature.
  • Less graph bookkeeping when you just need one more seed variant.
  • VRAM story for SDXL-class work is a documented fork goalverify on your card, don’t trust my sentence alone.

Where ComfyUI wins—claims I’ll stand behind

  • Workflow portability: Export/import JSON beats screenshots for reproducibility.
  • Bleeding-edge nodes: New techniques often land as node packs before they’re “one click” anywhere else.
  • When tabs lie: If you need branching logic or multi-model graphs, nodes expose what tabs hide.

Setup compared

Forge: Same clone → launcher culture as A1111. Point model dirs, read the fork’s current README—Forge’s ecosystem forked again (reForge, Neo, etc.) for some users. Stability varies by branch—that’s not FUD, that’s git.

ComfyUI: You will fight missing custom nodes at least once. Manager + pinned workflows reduce thrash.

Hardware & performance

  • Neither app “invents VRAM.” Big models, big images, big VRAMquantization and tile tricks buy room, not miracles.
  • Forge vs Comfy speed threads are noisy: people mix different samplers, resolutions, and extensions. Benchmark honestly or ignore the flex posts.
  • Apples-to-apples: Same checkpoint, same resolution, lock VAE and scheduler—still expect small engine deltas.

Who should use what

Forge if you… ComfyUI if you…
Want A1111 ergonomics without learning nodes Want graphs you can diff like code
Rely on specific Web UI extensions Need workflows people share as files
Refuse to maintain a node zoo Accept dependency churn as the price of power

LocalForge AI is listed last on purpose: one option for less manual wiring—not a magic “best UI.”

About Forge

Performance-optimized fork of AUTOMATIC1111 with better VRAM handling. Runs models on 8GB cards that crash in A1111.

Visit Forge →

Full Forge profile →

About ComfyUI

Node-based Stable Diffusion frontend for power users. Visual workflow editor with full pipeline control and native Flux support.

Visit ComfyUI →

Full ComfyUI profile →

Frequently Asked Questions

Is Forge cloud-only? +
No. It’s a local Web UI fork. Run it on your machine like A1111.
Is ComfyUI always faster? +
No. Speed depends on graph complexity, model, and GPU. Compare with matched settings or don’t trust the result.
Can Forge use ComfyUI workflows? +
Not directly—they’re different engines. Some goals overlap; file formats don’t.
Which has better extension support? +
Forge inherits much of the A1111 extension world; ComfyUI uses custom nodes instead. “Better” = whichever hosts your must-have tool.
Why do people disagree online? +
Different GPUs, branches, and extension sets. Skepticism is warranted—test locally.