Swap characters, poses, and scenes fast with total creative control.
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 advanced workflow helps you reimagine your videos by swapping characters, adapting poses, and regenerating backgrounds with controlled realism. Built with Wan2.2 Animate, SAM3.1 segmentation, and SDPose, it gives you full creative flexibility for seamless motion transfer. You can adjust poses while maintaining natural dynamics and refresh entire scenes while preserving composition. Its integrated tools ensure consistent motion and lighting across frames. Ideal for designers seeking efficient multi-layer video customization with easy control.
Important nodes:
Key nodes in ComfyUI Character & Pose & Background Replacement V3 workflow
WanVideoAnimateEmbeds (#62, #904)
This is the heart of guidance assembly for Wan2.2 Animate docs . It merges appearance, pose, mask, and optional background into a single image‐embed stream sized to your video. Tune only what matters: increase pose_strength to lock closer to source motion or raise face_strength when identity and lip area should track more tightly. Keep num_frames and the video loader’s frame count aligned to avoid truncation.
SAM3_Detect (#753)
Generates the person matte using SAM 3.1 checkpoints . Use prompt conditioning or point clicks when clothing blends into the background. If the matte is noisy, reduce the selection scope with bounding boxes from the detection tools before refining.
GrowMaskWithBlur (#502) and BlockifyMask (#401)
From KJNodes repo , these prepare masks for clean compositing. Grow and blur will hide edge seams after background replacement, while blockify avoids staircase artifacts on subject outlines. Adjust gently and preview often.
WanVideoLoraSelectMulti (#467) and WanVideoSetLoRAs (#48)
These nodes attach LoRA adapters inside Wan2.2 Animate wrapper . Use them for relight, reward, or motion feel tweaks. Keep total strength balanced with your cfg and sampler steps so LoRAs guide rather than overpower.
WanVideoUni3C_ControlnetLoader (#538) and WanVideoUni3C_embeds (#546)
Provide optional camera and motion retargeting inside the same sampler docs . Use the strength and start or end scheduling to blend the effect. For very tight tracking shots, set strength lower so subject motion remains primary.
VHS_VideoCombine (#312)
From Video Helper Suite repo . It assembles frames into the final video and can mux audio from the source. Match the frame rate here to your loader’s forced rate for 1:1 timing.
Notes
Character & Pose & Background Replacement V3 ComfyUI | Pose, Character, Background Swap - see RunComfy page for the latest node requirements.
