Quality
Pose Matching Guide for Seamless Composites
Match poses, camera angles, and proportions to reduce distortion in AI undress and deepfake outputs.
Overview
This pose matching guide reduces warped anatomy and unnatural output. It breaks down pose selection, reference handling, and review checks.
Use it when blending images or creating multi-step edits across modes.
Key topics: pose matching guide, ai pose matching, pose alignment tips.
Pose reference selection
Start with a reference that shares the same posture, limb placement, and torso angle. Small deviations are easier to fix than large shifts.
Avoid references with extreme foreshortening unless you plan to adjust the prompt for perspective.
- •Match torso angle and shoulder tilt.
- •Keep limb placement within a similar range.
- •Avoid extreme foreshortening.
Composition alignment
Align the subject center and scale before generation. Consistent framing ensures the model does not stretch anatomy to fit.
If the target has complex backgrounds, simplify the prompt to keep the model focused on the pose.
- •Center the subject before generating.
- •Keep scale consistent across inputs.
- •Simplify prompts for busy scenes.
Distortion fixes
Check hands, knees, and waistline for warping. These areas reveal pose errors quickly.
If distortions persist, re-run with a more accurate reference or adjust the generation strength.
- •Inspect joints for warping.
- •Reduce strength if anatomy stretches.
- •Re-run with a closer reference.
Pose checklist
- ✓Reference pose matches torso angle.
- ✓Subject scale aligned.
- ✓Background complexity reduced.
- ✓Joints reviewed for distortion.
- ✓Iteration completed if needed.
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