Low VRAM. No longer waiting. Kijai wrapper included.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

Wan 2.2 Low VRAM is a memory-efficient ComfyUI workflow based on Kijai's wrapper implementation of the Wan 2.2 video generation model. It features an OpenAI-powered prompt refinement node and a two-stage sampling system (4 steps each for high and low noise). This approach balances quality with performance, enabling smooth video interpolation between frames even on VRAM-constrained setups. Perfect for creators who need efficient video generation without sacrificing quality.

Notes

Wan 2.2 Low Vram Kijai Wrapper | ComfyUI Video Generation — see RunComfy page for the latest node requirements.