Forge - Cloud AI Image Generation Platform
Forge is AUTOMATIC1111 with the bottlenecks removed. Same UI, same extensions, 30-75% faster, up to 1.3 GB less VRAM. Free, local, open-source.
Verified Facts
Platform
A local installation is available. Verify the currently supported operating systems in the upstream documentation.
Network
Installation, models, extensions, and updates may require network access. Verify the tool's offline behavior for your exact workflow.
Privacy
Local processing can avoid a cloud-generation upload, but extensions, telemetry, synced folders, and remote services require separate review.
Updates
Open-source project: updates arrive through the upstream repository and community releases.
Verified against public product documentation and observable behavior. Re-check upstream terms before high-stakes work.
A1111 fork that trades nothing for speed and memory.
At a Glance
| Detail | Info |
|---|---|
| Type | Local image generator |
| Price | Free, open-source |
| Base | AUTOMATIC1111 (SD-WebUI 1.10.1) |
| Platform | Windows, Linux |
| Min VRAM | 4 GB (NVIDIA) |
| Models | SD 1.5, SDXL, Flux, SD3, Lumina, Sana |
| UI Style | Form-based (same as A1111) |
| Difficulty | Easy - identical to A1111 |
TL;DR - Is It Worth It?
If you're on A1111, switch. It's the same thing but faster with lower VRAM. Drop-in replacement - same extensions, same models folder, just swap the launcher. If you're starting fresh, Forge is the default pick for form-based local generation in 2026.
Top 5 Features
- VRAM Optimization - Cuts peak GPU memory by 700 MB-1.3 GB. SDXL runs on 4 GB cards that crash in A1111.
- Speed Gains - 30-75% faster depending on your GPU. Biggest gains on 6-8 GB cards.
- Multi-Model Support - SD 1.5, SDXL, Flux (NF4/GGUF quantized), SD3, Lumina, Sana. Native LoRA support across all.
- UNet Patcher - Implements Self-Attention Guidance, Kohya High Res Fix, and similar methods in ~100 lines. No extension conflicts.
- Extended Samplers & Schedulers - DDPM, DPM++ 2M Turbo, DDIM CFG++, Align Your Steps, KL Optimal, and more.
Requirements & Setup
| Spec | Minimum | Recommended |
|---|---|---|
| GPU | NVIDIA 4 GB VRAM | NVIDIA 8 GB+ VRAM |
| GPU (Flux) | 12 GB VRAM | 24 GB VRAM |
| RAM | 8 GB | 16 GB |
| Disk | 20 GB | 30 GB+ (SSD) |
| OS | Windows 10/11, Linux | Windows 10/11 |
One-click installer available. Download, extract, run. No Python setup needed.
Migrating from A1111? Point Forge at your existing models folder. Extensions carry over.
Limitations
- Update cadence is uneven. Syncs with upstream A1111 every ~90 days. Community forks (reForge, Forge Neo) fill gaps but fragment the ecosystem.
- ComfyUI is still faster. On SDXL at 1024×1024: ComfyUI ~22s, Forge ~24s, A1111 ~28s. The gap narrows on high-end GPUs.
- Flux needs serious VRAM. 12 GB minimum, 24 GB for full speed. Quantized models (NF4/GGUF) help but quality drops.
- Known bugs on new backends. Soft inpaint and Python 3.12 compatibility have open issues on Forge2/new Forge backend. Gradio legacy backend still works.
How It Compares
| Feature | Forge | A1111 | ComfyUI | Fooocus |
|---|---|---|---|---|
| Speed (SDXL 1024×1024) | ~24s | ~28s | ~22s | ~26s |
| Min VRAM | 4 GB | 8 GB | 4 GB | 4 GB |
| VRAM Savings vs A1111 | 700 MB-1.3 GB | Baseline | Similar to Forge | Moderate |
| Model Support | SD 1.5, SDXL, Flux, SD3 | SD 1.5, SDXL | SD 1.5, SDXL, Flux, SD3, video | SDXL only |
| UI | Form-based | Form-based | Node-based | Prompt-only |
| Extension Compat | Full A1111 ecosystem | Full | Own ecosystem | Minimal |
| Learning Curve | None (if you know A1111) | Low | High | None |
Forge beats A1111 in every metric. ComfyUI beats Forge on raw speed and model breadth - if you'll learn nodes. Fooocus is simpler but stuck on SDXL.
Fork Landscape
| Fork | Status | Notes |
|---|---|---|
| Forge (original) | Active | Main project by lllyasviel. 12,300+ GitHub stars. |
| reForge | Dead (April 2025) | Added extra samplers and multi-checkpoint loading. No longer maintained. |
| Forge Neo | Active | Continues Forge2 backend. Adds Wan 2.2, Nunchaku support. |
| Forge Classic | Active | Original backend with community optimizations. |
Stick with the original Forge unless you need a specific feature from Neo or Classic.
Bottom Line
- Use if you're on A1111 - free speed upgrade, zero migration cost.
- Use if you want form-based local gen without learning nodes.
- Use if you have 6-8 GB VRAM - this is where Forge shines most.
- Skip if you need maximum speed - ComfyUI is faster.
- Skip if you need video generation - ComfyUI has broader pipeline support.
- Skip if you want zero config - Fooocus is simpler.
If you'd rather skip manual setup entirely, LocalForge AI comes with Forge pre-configured - one option alongside installing it yourself.
Frequently Asked Questions
Is Forge free? +
What GPU do I need for Forge? +
Can I use my AUTOMATIC1111 extensions in Forge? +
How much faster is Forge than AUTOMATIC1111? +
What happened to reForge? +
Forge vs ComfyUI - which should I pick? +
Details
| Website | https://github.com/lllyasviel/stable-diffusion-webui-forge |
| Runs Locally | Yes |
| Open Source | Yes |
| NSFW Allowed | Yes |