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Uses deep learning models (likely DeepFaceLab or similar face-swap architecture) to extract facial embeddings from a source face, then applies morphing and blending operations to target video frames. The Gradio interface handles video upload, frame extraction, model inference batching, and video reconstruction with audio preservation.","intents":["Replace a person's face in a video with another person's face while keeping the video natural-looking","Create deepfake content for entertainment, education, or creative projects","Batch process multiple video files with consistent face replacement across all frames","Preview face-swap results before downloading the final video output"],"best_for":["Content creators and filmmakers experimenting with face-swap effects","Researchers prototyping deepfake detection or face-swap quality improvements","Non-technical users wanting to try face-swap without local GPU setup"],"limitations":["Processing time scales linearly with video length and resolution; 1-minute 1080p video may take 5-15 minutes depending on HF Spaces GPU allocation","No multi-face replacement in single pass — requires separate runs for each target face","Audio track is preserved but not synchronized if video frame rate changes during processing","Quality degrades significantly for videos with extreme head angles, occlusions, or poor lighting","No fine-grained control over blending parameters, color correction, or face detection confidence thresholds"],"requires":["Video file in MP4, AVI, or MOV format (typically <500MB for reasonable processing time)","Source image containing clear frontal face (JPEG or PNG, minimum 256x256 pixels)","Web browser with JavaScript enabled to interact with Gradio interface","Stable internet connection for upload/download (bandwidth depends on video size)"],"input_types":["video (MP4, AVI, MOV, WebM)","image (JPEG, PNG for source face)"],"output_types":["video (MP4 with H.264 codec, original audio track preserved)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--video-face-swap__cap_1","uri":"capability://image.visual.source.target.face.alignment.and.embedding.extraction","name":"source-target face alignment and embedding extraction","description":"Detects facial landmarks in both source and target video frames using a face detection model (likely MTCNN, RetinaFace, or similar), extracts facial embeddings via a pre-trained encoder (e.g., FaceNet, ArcFace), and computes geometric alignment matrices to warp the source face to match target head pose and scale. This alignment step ensures the swapped face fits naturally into the target frame's spatial context.","intents":["Ensure swapped faces are geometrically aligned to target head position and rotation","Handle videos where the target person's head moves or rotates significantly","Preserve natural facial proportions and prevent distortion artifacts"],"best_for":["Videos with moderate head movement (up to ~45° rotation)","Content where face alignment quality is critical (close-ups, interviews)"],"limitations":["Fails or produces artifacts for extreme head angles (>60° yaw/pitch) or profile shots","Landmark detection is sensitive to occlusions (glasses, masks, hair covering face)","No explicit handling of multiple faces in frame — may swap wrong face if multiple people present","Alignment assumes rigid head motion; doesn't account for facial expressions or micro-movements"],"requires":["Clear, visible face in both source image and target video frames","Minimum face size of ~50x50 pixels in video for reliable detection"],"input_types":["video frames (extracted from input video)","source image (face to be swapped in)"],"output_types":["alignment matrices (internal)","facial embeddings (internal)","warped source face (intermediate)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--video-face-swap__cap_2","uri":"capability://image.visual.frame.by.frame.face.blending.and.color.correction","name":"frame-by-frame face blending and color correction","description":"After face alignment, applies pixel-level blending operations (e.g., Poisson blending, alpha blending with feathered masks) to seamlessly merge the warped source face into the target frame. Includes color histogram matching or adaptive color correction to reduce visible seams and ensure the swapped face matches the target frame's lighting, skin tone, and color temperature. Operates on each frame independently to avoid temporal flickering.","intents":["Blend swapped face smoothly into target frame without visible seams or color mismatches","Correct lighting and color differences between source and target faces","Reduce artifacts at face boundaries (edges, hairline)"],"best_for":["Videos with consistent lighting across frames","Content where blending quality is visible (close-ups, well-lit scenes)"],"limitations":["Blending quality degrades with extreme lighting differences (e.g., source in daylight, target in shadow)","No temporal smoothing — color correction can flicker between frames if lighting varies","Hairline and ear blending often produces visible artifacts, especially with different hair colors","Feathering radius is fixed; no per-frame adjustment based on face size or lighting"],"requires":["Aligned source and target faces from prior step","Face segmentation mask (generated from face detection landmarks)"],"input_types":["aligned face image (warped source)","target frame (video frame)","face mask (binary or soft mask)"],"output_types":["blended frame (RGB image, same resolution as target)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--video-face-swap__cap_3","uri":"capability://automation.workflow.batch.video.frame.extraction.and.reconstruction","name":"batch video frame extraction and reconstruction","description":"Automatically extracts all frames from input video at the original frame rate using FFmpeg, processes them through the face-swap pipeline in batches (leveraging GPU parallelism), and reconstructs the output video by encoding processed frames back to MP4 with H.264 codec while preserving the original audio track. Handles variable frame rates and resolutions transparently.","intents":["Process entire videos without manual frame extraction or reconstruction","Preserve video metadata (frame rate, resolution, audio) in output","Handle videos of varying lengths and formats without user intervention"],"best_for":["Users who want end-to-end video processing without intermediate steps","Batch processing of multiple videos (via repeated uploads)"],"limitations":["No support for variable frame rate (VFR) videos — assumes constant frame rate","Audio is copied without re-encoding; if video codec is incompatible, audio may be lost","Output resolution is fixed to input resolution; no upscaling or downscaling options","Batch processing is sequential (one video at a time on HF Spaces), not parallel across multiple uploads","No progress indication during frame extraction or reconstruction phases"],"requires":["FFmpeg installed on HF Spaces backend (standard in most Gradio deployments)","Video file with valid codec and audio track"],"input_types":["video file (MP4, AVI, MOV, WebM)"],"output_types":["video file (MP4 with H.264 codec)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"hf-space-tonyassi--video-face-swap__cap_4","uri":"capability://tool.use.integration.web.based.inference.orchestration.via.gradio","name":"web-based inference orchestration via gradio","description":"Provides a Gradio interface that handles file uploads, manages inference queue, displays progress, and serves downloadable results. Gradio abstracts away model loading, GPU memory management, and HTTP request handling, allowing the face-swap pipeline to be exposed as a simple web form with file inputs and a download button. Runs on HuggingFace Spaces infrastructure with ephemeral GPU allocation.","intents":["Access face-swap functionality without installing software or configuring GPU drivers","Upload video and source image through a web browser","Download processed video after inference completes","Share the tool via a public URL without authentication"],"best_for":["Non-technical users and researchers wanting quick prototyping","Teams without local GPU infrastructure","Public demos and educational use cases"],"limitations":["Inference latency is high (5-15 minutes for 1-minute video) due to CPU-GPU transfer overhead and HF Spaces resource constraints","No persistent storage — results are deleted after download or session timeout","Queue management is FIFO with no priority or scheduling — long wait times during peak usage","No API endpoint — only web UI available, limiting programmatic access","GPU allocation is ephemeral and may be throttled or revoked if Spaces quota is exceeded"],"requires":["Web browser with file upload support","Internet connection with sufficient bandwidth for video upload/download","HuggingFace Spaces account (free tier available)"],"input_types":["video file (via web form)","image file (via web form)"],"output_types":["video file (downloadable from browser)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"low","permissions":["Video file in MP4, AVI, or MOV format (typically <500MB for reasonable processing time)","Source image containing clear frontal face (JPEG or PNG, minimum 256x256 pixels)","Web browser with JavaScript enabled to interact with Gradio interface","Stable internet connection for upload/download (bandwidth depends on video size)","Clear, visible face in both source image and target video frames","Minimum face size of ~50x50 pixels in video for reliable detection","Aligned source and target faces from prior step","Face segmentation mask (generated from face detection landmarks)","FFmpeg installed on HF Spaces backend (standard in most Gradio deployments)","Video file with valid codec and audio track"],"failure_modes":["Processing time scales linearly with video length and resolution; 1-minute 1080p video may take 5-15 minutes depending on HF Spaces GPU allocation","No multi-face replacement in single pass — requires separate runs for each target face","Audio track is preserved but not synchronized if video frame rate changes during processing","Quality degrades significantly for videos with extreme head angles, occlusions, or poor lighting","No fine-grained control over blending parameters, color correction, or face detection confidence thresholds","Fails or produces artifacts for extreme head angles (>60° yaw/pitch) or profile shots","Landmark detection is sensitive to occlusions (glasses, masks, hair covering face)","No explicit handling of multiple faces in frame — may swap wrong face if multiple people present","Alignment assumes rigid head motion; doesn't account for facial expressions or micro-movements","Blending quality degrades with extreme lighting differences (e.g., source in daylight, target in shadow)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.36,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.325Z","last_scraped_at":"2026-05-03T14:22:48.012Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=tonyassi--video-face-swap","compare_url":"https://unfragile.ai/compare?artifact=tonyassi--video-face-swap"}},"signature":"FUE+8WHYJ1nEtFMQGDK5VUd1kQHjPwBp0hVYvY5ZnjNuCxLmu/8sWOSG7HVLQMN5xvpYJzABJ7GGbhJrvw0YDw==","signedAt":"2026-06-22T23:24:05.843Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/tonyassi--video-face-swap","artifact":"https://unfragile.ai/tonyassi--video-face-swap","verify":"https://unfragile.ai/api/v1/verify?slug=tonyassi--video-face-swap","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}