Community Space by alexnasa

Wan2.2 Animate ZEROGPU

A free browser-based workflow for character animation and subject replacement. Upload a source video and a reference image, then render a new performance with controllable masks and frame-by-frame consistency tools.

ZeroGPU RuntimeFree to TryNo Sign-up RequiredDual Direction Replace Modes

Direction Control

Switch between video-driven and reference-driven replacement paths depending on whether you prioritize motion fidelity or identity fidelity.

Advanced Masking

Refine face and subject regions before propagation to reduce spill and keep edges cleaner around hair, jawline, and fast motion.

Intermediate Outputs

Check pose, mask, background, and face tracks to quickly diagnose issues and rerun with better settings.

Web-Native Workflow

No local install required. Launch, test, and iterate directly in browser with lightweight setup and fast feedback loops.

This embedded app mirrors alexnasa/Wan2.2-Animate-ZEROGPU on Hugging Face Spaces.

Recommended Input Pairing

Use a source clip with clear frontal-to-3/4 face visibility and a reference image with similar lighting direction for more stable replacement quality.

Best Clip Length

Short clips (2-6 seconds) generally converge faster and make troubleshooting easier before running longer sequences.

Production-Oriented Workflow Guide

Plan your run like a mini pipeline: clean inputs, correct mode selection, mask refinement, then quality inspection using intermediate streams.

1. Choose the Right Direction

Supports both Video -> Ref Image and Video <- Ref Image style replacement. Test both with the same assets and keep the one that better preserves the feature you care about most.

2. Refine Masks Early

Activate advanced mask editing for complex backgrounds, overlapping hands, or fast motion. Better masks usually reduce ghosting and edge artifacts in the final render.

3. Inspect Intermediate Streams

Review pose, background, mask, and face previews to locate the exact stage where drift appears. This lets you adjust only what matters instead of changing everything blindly.

Input Quality Checklist

  • Use stable camera clips when possible.
  • Avoid extreme motion blur in key face frames.
  • Pick a reference image with similar angle and lighting.
  • Crop out unnecessary empty background before upload.

When Results Look Off

  • Try a shorter duration first, then extend.
  • Switch direction mode and compare identity retention.
  • Rebuild mask around jawline and hair boundary.
  • Use cleaner reference images with less compression.

Practical Output Strategy

  • Run a fast low-risk draft for validation.
  • Lock assets and mode once quality is acceptable.
  • Only then render longer clips for final usage.
  • Archive winning setting combinations for reuse.

Quick Start and FAQ

Follow this process for your first successful run, then use the FAQ to solve common issues fast.

1. Upload Source Video

Start with a short clip to validate quality quickly. Pick a duration that matches your test goal and keeps queue time manageable.

2. Upload Reference Image

Choose an image with similar camera angle and light direction. Then select the replacement mode that best preserves either motion or identity.

3. Generate, Inspect, Iterate

Review final and intermediate streams. If boundaries flicker, refine masks first before changing all other settings.

FAQ: Why does the face drift over time?

Drift usually comes from weak reference quality or hard pose mismatch. Use a clearer reference, shorten clip length, and compare both direction modes.

FAQ: How to reduce edge artifacts?

Rebuild masks around hair and contour boundaries, and avoid highly compressed source videos where edge detail is already lost.

FAQ: Which duration should I use first?

Start at 2-4 seconds for iteration speed, then render longer once your mode and mask setup are validated.