From 2 images to stunning videos with smooth, controllable transitions.

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 lets you turn two images into smooth, prompt-controlled video clips with fine detail or fast previews—ideal for designers seeking cinematic control.

Important nodes:

Key nodes in Comfyui Wan2.2 Fun Inp workflow

WanFunInpaintToVideo (#111 and #148)

The core engine that blends your start_image and end_image into a continuous latent trajectory. It accepts width, height, and length to set video size and duration, then emits a latent sequence plus updated positive/negative conditioning. Start here when tuning continuity, pacing, or composition across the shot.

UNETLoader (#101, #102)

Chooses the Wan 2.2 Fun Inpaint model variant. Use high noise for bolder motion and more transformative interpolations. Use low noise when preserving the start and end frame identity and texture is the priority. Pair either with or without the 4-step LoRA depending on speed needs.

ModelSamplingSD3 (#93)

Configures the sampler schedule used downstream. Keep it aligned with the chosen LoRA or fp8 path. If you see temporal flicker, modest adjustments to the sampler mode or steps can smooth transitions without over-sharpening details.

KSamplerAdvanced (#150)

Applies a refinement pass to the latent sequence. Increase steps slightly if you need crisper micro-detail on faces, hands, or thin structures; reduce steps for softer, dreamier motion. Avoid extreme CFG or step counts that can destabilize temporal consistency.

VHS_VideoCombine (#159)

Merges rendered frames to MP4. Adjust frame_rate for motion feel and playback speed, and keep the default pix_fmt for broad player compatibility. Lower CRF yields larger files with finer gradients; higher CRF compresses more aggressively.

Notes

ComfyUI Wan2.2 Fun Inp Workflow | First-to-Last Frame Interpolation — see RunComfy page for the latest node requirements.