ComfyUI vs AUTOMATIC1111 vs Forge: Which NSFW UI?
ComfyUI vs AUTOMATIC1111 vs Forge (and Fooocus): maintenance, models, VRAM, and which UI for local NSFW.
Pick in 10 seconds (local, no cloud filter)
| You want… | Use | Why |
|---|---|---|
| Fastest path to uncensored SDXL | Forge Neo | Web UI, huge CivitAI library, no filter by default |
| Graph control + Flux / video | ComfyUI | Nodes, lowest VRAM overhead when tuned |
| Midjourney-simple free UI | Fooocus | Minimal knobs; SDXL-first |
| Zero terminal / one bill | LocalForge AI | Forge + models bundled; fully offline after install |
Key Takeaway - August 2026
ComfyUI v0.31.0 with Desktop v1.0.37 is the actively developed default for new image and video architectures. Forge Neo v2.28.1 is the maintained traditional WebUI; the original Forge repository has been inactive since 2025. Fooocus is now an SDXL-focused LTS option, and AUTOMATIC1111 is a legacy install. Local inference avoids a mandatory cloud filter; extensions can still use the network.
ComfyUI vs A1111 for NSFW (2026)
Searchers comparing ComfyUI vs AUTOMATIC1111 for NSFW usually need one of three answers — not a fifth generator list:
- Traditional NSFW SDXL path: Forge Neo + a compatible CivitAI checkpoint. It keeps the A1111 mental model, while performance depends on the model, backend, and extensions.
- Flux / node workflows / video: ComfyUI. New architectures and LoRA graphs land here first.
- Already on A1111: test Forge Neo in a separate install before migrating; extension compatibility is not universal.
Looking for which models to load once the UI is chosen? Use best NSFW models for ComfyUI (list intent) — not this UI comparison. For LoRA stacking, use best NSFW LoRA models.
NSFW Decision Matrix
| Scenario | Pick | Why |
|---|---|---|
| SDXL NSFW + CivitAI LoRAs, form UI | Forge Neo | Familiar A1111 mental model; maintained release line; extension compatibility varies |
| Flux NSFW + custom LoRA graphs | ComfyUI | GGUF loaders, node LoRA stacks, earliest architecture support |
| Prompt-box only, no knobs | Fooocus | Fastest learning curve; limited Flux/custom LoRA depth |
| Zero Python / one purchase | LocalForge AI | Bundled Forge path; first launch sets up engine, then offline generation |
| Brand-new A1111 install | Don’t | Use ComfyUI for current architectures or Forge Neo for a traditional UI |
The Quick Answer
- Use ComfyUI for active development, current image/video architectures, reusable graphs, and the Desktop installer.
- Use Forge Neo for a maintained browser form UI and established SDXL workflows. Do not confuse it with the inactive original Forge repository.
- Use Fooocus only when a simple, stable SDXL workflow is enough; it is in limited LTS.
- Keep AUTOMATIC1111 only for an existing mature setup; do not choose it for new architecture support.
- Use LocalForge AI if you want Forge pre-configured with zero setup.
Full Comparison
| Fooocus | AUTOMATIC1111 | Forge Neo | ComfyUI | |
|---|---|---|---|---|
| Ease of use | Easiest | Easy | Easy | Steep learning curve |
| Speed | Good | Baseline | Often faster/lower-VRAM; varies by workflow | Fastest (optimized graph) |
| VRAM usage | Low (optimized) | High | Lower (optimized) | Lowest |
| SDXL support | Yes (default) | Yes | Yes (optimized) | Yes (native) |
| Flux support | No | Limited | Yes | Yes (first to support) |
| Video gen (Wan 2.1) | No | No | No | Yes |
| Extensions | Minimal | Huge library | Same library (compatible) | Custom nodes (different ecosystem) |
| Content filter | None (local) | None (local) | None (local) | None (local) |
| Customization | Very limited | High | High | Unlimited |
| Maintained | Limited LTS | Effectively static | Forge Neo actively maintained | Actively developed |
Forge Neo: The Maintained Traditional UI
Original Forge began as a performance-focused AUTOMATIC1111 fork by the developer behind ControlNet, but its last code push was July 31, 2025. Forge Neo is the maintained traditional path; v2.28.1 was current on August 8, 2026:
- VRAM optimization: models that crashed on 8 GB cards now run fine
- Established SDXL path: familiar checkpoints, LoRAs, samplers, and form controls
- Memory optimizations: useful on lower-VRAM cards, with results depending on model and backend
- Extension compatibility: broad but not universal; test each extension against the exact fork
If you are currently on AUTOMATIC1111, a Forge-family UI has a familiar learning curve, but migration is not automatically zero-risk because extensions and model loaders differ. Our local Stable Diffusion setup guide explains the current choices.
VRAM & NSFW Workflow Notes
- SDXL NSFW + 1–2 LoRAs: 8 GB can be workable in Forge Neo with memory optimizations; 12 GB is a more comfortable target.
- Flux NSFW: plan 12 GB+ (or GGUF quants in ComfyUI on 8 GB). Pair unlock LoRAs like aidmaNSFWunlock with a Flux base — do not confuse brand LoRA pages with this UI guide.
- Batch / ControlNet / Adetailer: many A1111-family extensions work in Forge Neo, but compatibility is not universal; ComfyUI uses custom nodes instead.
- Setup walkthrough: NSFW Stable Diffusion setup guide 2026.
ComfyUI: Maximum Power
ComfyUI core v0.31.0 and Desktop v1.0.37 were current on August 8, 2026. The visual node editor wires the pipeline - loader → sampler → VAE → save - and provides:
- Full pipeline control: chain multiple models, add custom processing steps
- Current model support: official Flux and CHROMA workflows, with architecture-specific loaders rather than assuming every graph is interchangeable
- Strict offline controls: set Manager to
network_mode = offlineand launch with--disable-api-nodeswhen Partner Nodes must not contact cloud providers - Workflow sharing: download and import complete workflows as JSON files
- Batch automation: build complex multi-step generation pipelines
The tradeoff: the learning curve is real. Plan for a few hours of tutorials before you're productive. Once you've chosen a UI, pair it with the right checkpoint - our top 15 uncensored models on CivitAI covers the best options for each architecture.
Fooocus: The Beginner Option
Fooocus is designed by the same developer behind Forge/ControlNet. It keeps the opposite philosophy from ComfyUI: minimal settings, maximum simplicity, but now operates in limited LTS rather than active architecture development.
- Simplest UI: just a prompt box and a generate button - like a local Midjourney
- Auto-optimized: handles sampling, CFG, and quality settings internally
- No content filter: completely uncensored, same as the others
- Limitations: SDXL-focused, limited customization, no Flux support, and bug-fix-only LTS
Fooocus remains useful when you want a stable SDXL prompt box without learning nodes. Choose a different project when you need new models, samplers, video, or active feature development.
Who Should Use What
Fooocus
You're a complete beginner who only needs SDXL. Fooocus is in limited LTS, so move to Forge Neo or ComfyUI when you need newer architectures or more control.
Forge Neo
You want a maintained traditional browser UI with familiar SDXL controls. Check each A1111-family extension against the Neo release before migrating it.
ComfyUI
You want to build custom workflows. You want the latest models immediately. You want to do video generation. You enjoy tinkering.
LocalForge AI
You want Forge but without the Python/Git installation headache. One-click install, everything pre-configured.
Bottom Line
ComfyUI is the August 2026 default for active development and current architectures. Forge Neo is the maintained traditional SDXL interface; original Forge is inactive. Fooocus is an SDXL LTS choice, and AUTOMATIC1111 is best treated as legacy.
All four can perform core inference locally without a hosted prompt filter. That does not guarantee zero network traffic from managers, API nodes, update checks, or third-party extensions. For a broader look at uncensored generation options beyond Stable Diffusion UIs, see our best NSFW AI image generators ranking.