# FaceFusion UI - Complete Feature Guide & Tips This comprehensive guide explains every section and option in the FaceFusion UI to help you achieve the best results. --- ## 📋 Table of Contents 1. [Main Workflow](#main-workflow) 2. [Input Section](#input-section) 3. [Processors](#processors) 4. [Face Detection & Selection](#face-detection--selection) 5. [Face Masking](#face-masking) 6. [Output Settings](#output-settings) 7. [Execution Settings](#execution-settings) 8. [Memory Management](#memory-management) 9. [Tips for Best Results](#tips-for-best-results) --- ## Main Workflow ### Basic Steps for Face Swapping 1. **Upload Source** → The face you want to apply 2. **Upload Target** → The image/video to modify 3. **Select Processors** → face_swapper + face_enhancer for best quality 4. **Configure Settings** → Adjust quality and options 5. **Preview** → Check a frame before processing 6. **Start Processing** → Generate final output --- ## Input Section ### SOURCE **Purpose:** Upload the face image or audio file you want to apply to the target. **Supported Files:** - **Images:** For face swapping (JPG, PNG, etc.) - **Audio:** For lip syncing (MP3, WAV, etc.) **Tips:** - Use high-quality, well-lit images for best face swap results - Source face should be frontal or similar angle to target - Clear facial features produce better swaps ### TARGET **Purpose:** Upload the base image or video that will be modified. **Supported Files:** - **Images:** Single image face swap - **Videos:** Video face swap/lip sync **Tips:** - Higher resolution = better quality but slower processing - Good lighting on faces improves detection and swap quality - Videos with stable faces work better than highly dynamic scenes ### OUTPUT PATH **Purpose:** Specify where the processed result will be saved. **Tips:** - Use descriptive filenames to organize your outputs - Default saves to temp directory - specify custom path for permanent storage --- ## Processors ### PROCESSORS SELECTION Select one or more AI processors to apply to your content: #### **face_swapper** ⭐ (Recommended) - Swaps faces from source to target - **Best Models:** `inswapper_128`, `blendswap_256` - **Pixel Boost:** Use `1024x1024` for maximum quality - Higher resolution = better detail but slower processing #### **face_enhancer** ⭐ (Recommended) - Improves face quality and details after swapping - **Best Models:** `gfpgan_1.4`, `restoreformer_plus_plus` - **Blend:** 80-100 for strong enhancement - **Weight:** Adjust for different model variants - Use together with face_swapper for professional results #### **lip_syncer** - Synchronizes lips to audio file - **Requirements:** Source audio file must be uploaded - **Best Model:** `wav2lip_gan_96` for quality - **Weight:** 1.0 for full sync, lower to blend with original #### **age_modifier** - Makes faces younger or older - **Direction:** Negative = younger, Positive = older - Range: -100 (very young) to +100 (very old) #### **expression_restorer** - Restores target's original facial expressions - **Factor:** 100 = full target expression, 0 = source expression - Useful to maintain natural emotions after face swap #### **frame_enhancer** - Upscales entire frame (not just face) - **Models:** `real_esrgan_x4` (4x upscale), `ultra_sharp_x4` (sharper) - Use for low-resolution videos - Very slow - use only when needed #### **frame_colorizer** - Colorizes black & white videos/images - Multiple artistic styles available #### **face_editor** - Manually adjust facial features - Control eyes, mouth, head rotation, expressions - Advanced feature for fine-tuning #### **face_debugger** - Shows detection boxes, landmarks, scores - Useful for troubleshooting detection issues --- ## Face Detection & Selection ### FACE DETECTOR **Purpose:** Detects faces in images/videos for processing. #### Face Detector Model - **yolo_face:** Recommended - best accuracy and speed - **retinaface:** Good alternative #### Face Detector Size - **640x640:** Balanced speed and accuracy (recommended) - **320x320:** Faster but may miss faces - **1280x1280:** Best accuracy but slower #### Face Detector Angles - Enable to detect rotated/tilted faces - More angles = better detection but slower - Use when faces aren't upright #### Face Detector Score - Confidence threshold (0-1) - **0.5:** Standard - good balance - Higher = stricter detection, fewer false positives - Lower = detect more faces but more false positives ### FACE LANDMARKER **Purpose:** Detects facial landmarks (eyes, nose, mouth) for accurate alignment. #### Face Landmarker Model - Detects 5 or 68 facial points - Essential for proper face alignment and swapping #### Face Landmarker Score - Confidence threshold (0-1) - **0.5:** Generally works well - Higher = more accurate landmark detection required ### FACE SELECTOR MODE **Purpose:** Choose which faces to process in the target. #### Modes: - **One:** Process first detected face only - **Many:** Process all detected faces - **Reference:** Track specific face across video frames (best for videos) - **Age/Gender/Race filters:** Target specific demographics #### Reference Face Distance - Similarity threshold for reference tracking - Lower = stricter matching (same person) - Higher = more lenient matching **Tips:** - Use **Reference** mode for videos with multiple people - Use **One** for single-person content - Use filters to target specific faces in multi-person scenes --- ## Face Masking ### PURPOSE Control which parts of the face are swapped and how they blend. ### Face Mask Types #### **Box** - Simple rectangular mask around face - **Blur:** Controls edge softness (0.3-0.5 recommended) - **Padding:** Expand mask in each direction (top, right, bottom, left) - Fast and simple #### **Occlusion** - Avoids occluded areas (glasses, hands, hair) - Uses face occluder model - More natural when face is partially covered #### **Region** - Masks specific facial regions - Uses face parser model - Select regions: eyes, nose, mouth, skin, etc. #### **Area** - Masks by facial areas - Combine multiple for custom masking **Tips:** - Combine mask types for best results - Increase blur for smoother blending - Adjust padding if face edges are visible --- ## Output Settings ### IMAGE OUTPUT #### Output Image Quality (0-100) - JPEG compression quality - **90-95:** Recommended for high quality - **100:** Maximum quality (larger file) - **70-80:** Good quality, smaller file #### Output Image Resolution - Can upscale or downscale from original - Match source resolution for best quality - Upscaling beyond 2x may look artificial ### VIDEO OUTPUT #### Output Video Encoder - **libx264:** Widely compatible, good quality - **libx265/hevc:** Better compression, smaller files - **h264_nvenc:** GPU-accelerated (NVIDIA only) - **copy:** Preserve original encoding #### Output Video Preset - **ultrafast:** Quick but large file - **fast/medium:** Balanced - **slow/slower:** Best quality and compression (recommended) - **veryslow:** Maximum quality, very slow encoding #### Output Video Quality (0-100) - **90-95:** Recommended for professional results - **80-85:** Good quality, reasonable file size - Higher = better visual quality, larger files #### Output Video Resolution - Can upscale or downscale - Higher resolution requires more processing time - Match original for best quality/performance ratio #### Output Video FPS - **24:** Cinematic look - **30:** Standard video - **60:** Smooth motion - Match original video FPS for best results ### AUDIO OUTPUT (for videos) #### Output Audio Encoder - **aac:** Widely compatible, good quality (recommended) - **libmp3lame:** MP3 format - **copy:** Preserve original audio #### Output Audio Quality (0-100) - **80-90:** CD quality - **100:** Lossless - Higher = better sound, larger file #### Output Audio Volume (0-200%) - **100:** Original volume - **<100:** Quieter - **>100:** Louder (may cause distortion) --- ## Execution Settings ### EXECUTION PROVIDERS **Purpose:** Choose hardware acceleration for processing. #### Options: - **CUDAExecutionProvider:** NVIDIA GPU acceleration (fastest) - **CoreMLExecutionProvider:** Apple Silicon acceleration - **CPUExecutionProvider:** CPU only (slowest but always available) **Tips:** - Use GPU providers when available for 10-50x speedup - CPU is very slow but works on any system - Some models require specific providers ### EXECUTION THREAD COUNT **Purpose:** Number of parallel processing threads. **Recommendations:** - Set to your CPU core count for optimal performance - Higher = faster but uses more CPU/GPU - Lower if system becomes unresponsive ### EXECUTION QUEUE COUNT **Purpose:** Frames each thread processes before returning. **Recommendations:** - **1-2:** Recommended for most cases - Higher = better GPU utilization but more VRAM needed - Lower = less memory usage --- ## Memory Management ### VIDEO MEMORY STRATEGY **Purpose:** Balance processing speed vs VRAM usage. #### Options: - **Strict:** Low memory usage, slower processing - **Moderate:** Balanced (recommended) - **Tolerant:** Faster but uses more VRAM **Tips:** - Use Strict if you get out-of-memory errors - Use Tolerant if you have high-end GPU (12GB+ VRAM) ### SYSTEM MEMORY LIMIT **Purpose:** Limit RAM usage during processing. - **0:** No limit - Set value (in GB) to prevent system crashes - Useful for systems with limited RAM --- ## Tips for Best Results ### 🌟 Quality Settings (Best Quality) ``` Processors: face_swapper + face_enhancer Face Swapper Model: inswapper_128 Pixel Boost: 1024x1024 Face Enhancer Model: gfpgan_1.4 Face Enhancer Blend: 80-100 Output Image/Video Quality: 90-95 Video Preset: slow or slower ``` ### ⚡ Speed Settings (Faster Processing) ``` Processors: face_swapper only Face Swapper Model: inswapper_128 Pixel Boost: 512x512 or 768x768 Skip face_enhancer Output Quality: 80-85 Video Preset: medium or fast Execution Threads: Max CPU cores ``` ### 🎯 Troubleshooting #### Face Not Detected - Check face detector score (try lowering to 0.3) - Enable more detector angles - Increase detector size to 1280x1280 - Ensure face is visible and well-lit #### Poor Swap Quality - Increase pixel boost to 1024x1024 - Add face_enhancer processor - Use higher output quality (90-95) - Ensure source and target faces are similar angles #### Out of Memory Error - Lower pixel boost to 512x512 or 768x768 - Set video memory strategy to "strict" - Reduce execution queue count to 1 - Lower output resolution - Process shorter video segments using trim frame #### Slow Processing - Use GPU execution provider (CUDA/CoreML) - Reduce pixel boost - Skip face_enhancer for faster processing - Lower execution thread count - Use faster video preset (medium/fast) #### Unnatural Blending - Increase face mask blur (0.4-0.6) - Adjust face mask padding - Enable occlusion mask type - Lower face enhancer blend --- ## Workflow Examples ### Example 1: High-Quality Photo Face Swap 1. Upload high-resolution source face image 2. Upload target photo 3. Select: face_swapper + face_enhancer 4. Settings: - Face Swapper: inswapper_128, 1024x1024 - Face Enhancer: gfpgan_1.4, blend 90 - Output Quality: 95 5. Preview result 6. Process ### Example 2: Video Face Swap (Multiple People) 1. Upload source face 2. Upload target video 3. Select: face_swapper + face_enhancer 4. Face Selector: Reference mode 5. Click reference face in gallery 6. Settings: - Pixel boost: 1024x1024 - Video quality: 90 - Preset: slow 7. Use trim frame to process test segment first 8. Process full video ### Example 3: Lip Sync Video 1. Upload source audio (speech/song) 2. Upload target video 3. Select: lip_syncer + face_swapper (optional) 4. Settings: - Lip Syncer: wav2lip_gan_96 - Weight: 1.0 5. Process --- ## Summary Table | Feature | Recommended Setting | Purpose | |---------|-------------------|---------| | Face Swapper Model | inswapper_128 | Best quality swapping | | Pixel Boost | 1024x1024 | Maximum detail | | Face Enhancer | gfpgan_1.4, blend 80 | Improve quality | | Output Quality | 90-95 | Near-lossless | | Video Preset | slow/slower | Best compression | | Execution Provider | CUDA/CoreML | GPU acceleration | | Face Selector | Reference (videos) | Track specific person | | Face Mask Blur | 0.3-0.5 | Natural blending | --- **Last Updated:** October 6, 2025 For more information, visit the official FaceFusion documentation.