ComfyUI vs SD WebUI Forge
Forge modernizes the Gradio tab interface with ComfyUI's backend memory management, while ComfyUI gives full modular control over every latent step.
Updated Oct 17, 2026 · 1 min read
- Compared Against
- SD WebUI Forge
- ComfyUI Edge
- Lower VRAM, Flux/Video support, node graph
- Shared Models
- Yes via extra_model_paths.yaml
- Windows Build
- Free download at /download
How ComfyUI compares to SD WebUI Forge
Forge modernizes the Gradio tab interface with ComfyUI's backend memory management, while ComfyUI gives full modular control over every latent step.
**Where ComfyUI pulls ahead:** Multi-stage pipelines, custom video graphs, regional conditioning, and direct API export for production.
**Where SD WebUI Forge fits:** Form-based sliders for users who prefer not to connect node wires.
Running both tools on the same Windows PC without duplicating checkpoints
You do not need to delete SD WebUI Forge or duplicate 100 GB of `.safetensors` files to switch to ComfyUI. Configure extra_model_paths.yaml so ComfyUI reads your existing checkpoints, LoRAs, VAEs, and ControlNets directly from disk.
Install the Windows desktop or portable build from /download and point it at your existing model library in under two minutes.
ComfyUI vs SD WebUI Forge Feature Matrix
| Capability | ComfyUI (Windows) | SD WebUI Forge |
|---|---|---|
| Memory backend | Native Comfy memory manager | Ported Comfy memory manager |
| Complex multi-pass workflows | Single connected graph | Manual tab-to-tab send |
| New model day-zero support | Immediate upstream commits | Waits for WebUI wrapper |
| API automation | Save as API JSON directly | Gradio REST endpoint |
FAQs
Can ComfyUI and SD WebUI Forge share the same models folder on Windows?
Yes. Edit `extra_model_paths.yaml` in your ComfyUI root folder to point `base_path` at your existing models directory so both apps load the exact same files.
Does ComfyUI use less VRAM than SD WebUI Forge?
ComfyUI only keeps the active node's sub-model (CLIP, UNet, or VAE) in VRAM at each step and supports native FP8 and GGUF quantization, making it significantly lighter on 8 GB and 12 GB GPUs.
Run on your hardware. Free forever.
The full ComfyUI engine: open source, fast, extensible, and yours to run however you want. Download the desktop app and open this workflow on your own machine.
