Wan2.2 VACE Fun in ComfyUI | Image Animation Workflow

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モデル説明

Turn still photos into lifelike animated videos with custom prompts.

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

This workflow helps you turn any still image into an animated video guided by written prompts. It allows you to maintain subject identity while adding expressive actions or motions. You can easily bring reference photos to life and control how your subject moves. Designed for storytelling, it makes concept visualization faster and more engaging. It is perfect for creating unique animations for social content, presentations, or creative projects. By combining efficiency with precision, it delivers reliable results even for complex ideas.

Important nodes:

Key nodes in Comfyui Wan2.2 VACE Fun workflow

WanVaceToVideo (#43)
The heart of Wan2.2 VACE Fun: it binds prompt semantics to your reference image and produces the initial video latents. Adjust width, height, and length here via the shared settings to match your creative target and VRAM budget. Keep the reference subject centered and well-lit for best identity retention. If motion feels off, revise the positive prompt to emphasize actions, camera moves, and timing words.

KSamplerAdvanced (#108, #107, #109)
A staged sampler chain that progressively improves composition, detail, and motion smoothness. Increase steps when you need more detail or temporal stability, and reuse the same seed to compare changes fairly. The final pass on the LOW variant often cleans subtle artifacts; if results look too soft, shift some steps to the earlier passes. sampling_shift is exposed to nudge the schedule toward either motion emphasis or finer texture.

RMBG (#73)
Automatic background removal improves subject adherence for Wan2.2 VACE Fun, especially with busy or low-contrast scenes. Use high-quality, non-blurry references to minimize cutout errors. If you want natural backgrounds, replace them later in post or composite a plate behind the decoded frames.

TrimVideoLatent (#65)
Keeps the latent sequence aligned to the requested length. If you extend or shorten a clip, let this node handle the bookkeeping; it prevents subtle frame drift across the sampler stages.

VHS_VideoCombine (#69)
Encodes the final frames to MP4. Tune frame_rate to control clip duration relative to length (duration equals frames divided by fps). Raise quality for final delivery or lower it for rapid previews; higher quality increases file size and encode time.

Notes

Wan2.2 VACE Fun in ComfyUI | Image Animation Workflow — see RunComfy page for the latest node requirements.

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