{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_facevary","slug":"facevary","name":"FaceVary","type":"product","url":"https://remaker.ai","page_url":"https://unfragile.ai/facevary","categories":["image-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_facevary__cap_0","uri":"capability://image.visual.single.image.face.detection.and.localization","name":"single-image face detection and localization","description":"Detects and localizes human faces within a single uploaded image using deep learning-based face detection (likely MTCNN, RetinaFace, or similar CNN architecture). The system identifies face bounding boxes and facial landmarks to establish precise regions for subsequent swapping operations. This foundational capability enables the tool to isolate target faces before applying transformation pipelines.","intents":["I want to identify all faces in a photo before swapping one or more of them","I need the system to automatically find face boundaries so I don't have to manually select regions","I want to ensure the tool recognizes faces at different angles and scales in a single image"],"best_for":["casual users who want automatic face detection without manual annotation","social media creators processing batches of portrait and group photos"],"limitations":["Detection accuracy degrades with extreme angles (>45° yaw), heavy occlusion, or very small faces (<50px)","Landmark detection may fail on heavily stylized or artistic faces","No explicit handling of masked or partially obscured faces"],"requires":["JPEG or PNG image file","minimum image resolution ~200x200px","face occupying at least 5% of image area for reliable detection"],"input_types":["image (JPEG, PNG)"],"output_types":["face bounding boxes (x, y, width, height)","facial landmarks (68-point or similar keypoint array)"],"categories":["image-visual","computer-vision"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_1","uri":"capability://image.visual.multi.face.identity.swapping.with.blending","name":"multi-face identity swapping with blending","description":"Performs face-swapping by extracting facial embeddings from source and target faces, then using generative models (likely StyleGAN-based or diffusion-based inpainting) to synthesize a new face that matches the target identity while preserving the source image's pose, lighting, and background. The system applies learned blending masks and color correction to feather edges and reduce visible artifacts at face boundaries. This is the core capability that produces the face-swapped output.","intents":["I want to swap my face with someone else's in a photo while keeping the original pose and lighting","I need the swapped face to blend naturally with the background and surrounding skin tones","I want to swap multiple faces in a group photo in a single operation"],"best_for":["social media creators producing entertainment content (memes, funny videos, TikTok clips)","casual users experimenting with face-swap effects for personal use"],"limitations":["Output quality is inconsistent — visible artifacts and unnatural skin tones are common, especially with extreme lighting or pose differences","Blending artifacts increase with larger pose differences between source and target faces (>30° rotation)","Free tier enforces 20-second processing delays and adds watermarks, degrading perceived quality","No explicit handling of expressions — swapped faces may not match source expression naturally"],"requires":["two input images (source face and target image)","faces must be clearly visible and front-facing (±45° yaw tolerance)","minimum 256x256px resolution per face region"],"input_types":["image (JPEG, PNG) — source face","image (JPEG, PNG) — target image with destination face"],"output_types":["image (JPEG, PNG) — face-swapped result with watermark on free tier"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_2","uri":"capability://image.visual.batch.face.swapping.across.multiple.subjects","name":"batch face-swapping across multiple subjects","description":"Extends single face-swap capability to handle images with multiple faces by applying the swapping pipeline sequentially or in parallel to each detected face pair. The system maintains spatial awareness to avoid swapping the same face twice and manages blending boundaries when faces are adjacent or overlapping. This enables group photo face-swaps where multiple people's faces are exchanged simultaneously.","intents":["I want to swap faces between multiple people in a group photo in one operation","I need to ensure each face is swapped with the correct target without manual per-face selection","I want to create funny group photos where everyone's faces are rearranged"],"best_for":["social media creators producing group-based entertainment content","casual users swapping faces in family or friend group photos"],"limitations":["Processing time scales linearly with number of faces — 5-face swap takes ~5x longer than single-face swap","Blending artifacts compound when faces are close together or overlapping","No explicit face-to-face correspondence — system may produce unexpected pairings if faces are ambiguously positioned","Free tier may timeout or reject requests with >4-5 faces due to processing limits"],"requires":["image with 2-5 clearly visible faces (free tier limit likely ~4 faces)","faces must be spatially separated enough for independent detection","minimum 256x256px per face region"],"input_types":["image (JPEG, PNG) with multiple faces"],"output_types":["image (JPEG, PNG) with multiple faces swapped"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_3","uri":"capability://automation.workflow.freemium.credit.based.processing.with.tiered.rate.limiting","name":"freemium credit-based processing with tiered rate limiting","description":"Implements a freemium business model where users receive monthly free credits (sufficient for ~10-20 face-swaps) and can purchase additional credits for premium processing. Free tier includes enforced 20-second delays and watermark injection to create friction toward paid upgrades. The system tracks per-user credit consumption and enforces rate limits (e.g., max 3 swaps/hour on free tier) to manage server load and encourage monetization.","intents":["I want to try face-swapping without paying upfront to see if I like the results","I need to process a few face-swaps per month without spending money","I'm willing to pay for faster processing and watermark removal when I need production-quality outputs"],"best_for":["casual users experimenting with face-swap technology","budget-conscious creators who don't need daily processing","freemium-model users who convert to paid after initial experimentation"],"limitations":["Free tier includes 20-second artificial delays, making it unsuitable for time-sensitive workflows","Watermarks on free outputs reduce shareability and perceived quality","Monthly credit reset may not align with user workflows — no credit rollover or banking","Rate limiting (likely 3-5 swaps/hour free) prevents bulk processing without paid tier","No transparent pricing or credit-to-cost mapping — users must estimate cost before processing"],"requires":["user account with email verification","monthly credit allocation (automatic or manual claim)","payment method on file for paid tier (optional for free tier)"],"input_types":["user account state","credit balance query"],"output_types":["credit balance","processing queue status","rate limit headers"],"categories":["automation-workflow","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_4","uri":"capability://image.visual.real.time.face.swap.preview.with.latency.optimization","name":"real-time face-swap preview with latency optimization","description":"Provides near-instant visual feedback as users select source and target faces, likely using lightweight preview models or cached intermediate representations to reduce latency to <5 seconds. The system may use progressive rendering (low-resolution preview first, then refinement) or client-side preview rendering to give users confidence before committing to full processing. This capability bridges the gap between detection and final output.","intents":["I want to see a preview of the face-swap result before committing to processing","I need quick feedback to iterate on face selection without waiting for full processing","I want to verify the swap looks reasonable before sharing it"],"best_for":["casual users who want interactive experimentation","creators iterating on multiple face-swap variations quickly"],"limitations":["Preview quality is lower than final output — may not accurately represent final blending or color correction","Preview latency still ~3-5 seconds on free tier, not truly real-time","No undo/redo for preview iterations — users must re-upload to try different faces","Preview may not account for lighting or pose differences that affect final quality"],"requires":["browser with WebGL or server-side preview rendering capability","face detection already completed"],"input_types":["detected face regions","source and target face selections"],"output_types":["low-resolution preview image (JPEG, PNG)","preview quality metrics (confidence score)"],"categories":["image-visual","user-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_5","uri":"capability://image.visual.watermark.injection.and.removal.tier.differentiation","name":"watermark injection and removal tier differentiation","description":"Automatically embeds a visible watermark into free-tier outputs as a branding and monetization mechanism. The watermark is applied post-processing and is non-removable on free tier, forcing users to upgrade to paid tier for watermark-free outputs. This capability is implemented as a conditional post-processing step based on user tier, not as a core image manipulation feature.","intents":["I want to share face-swap results without watermarks on social media","I need production-quality outputs without branding for client work","I'm willing to pay to remove watermarks from my free-tier results"],"best_for":["paid-tier users who need shareable, professional-looking outputs","creators monetizing content who can't have watermarks"],"limitations":["Watermark placement may obscure important details in the swapped face region","No watermark customization — users cannot choose placement or opacity","Watermark removal requires paid tier upgrade — no per-image watermark removal option","Watermark may reduce perceived quality and discourage social sharing, limiting organic growth"],"requires":["paid tier subscription or credit purchase","user account with tier information"],"input_types":["processed face-swap image","user tier/subscription status"],"output_types":["image with or without watermark (JPEG, PNG)"],"categories":["image-visual","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_6","uri":"capability://image.visual.pose.and.lighting.preservation.during.face.transfer","name":"pose and lighting preservation during face transfer","description":"Maintains the source image's pose, lighting, and background context when transferring the target face identity. The system uses facial landmark alignment and pose estimation to ensure the swapped face matches the original pose, and applies lighting correction to blend the transferred face with the source image's illumination. This is achieved through intermediate representation learning (e.g., 3D face model fitting or pose-aware embeddings) rather than naive pixel-level blending.","intents":["I want the swapped face to match the original pose and angle, not look rotated or misaligned","I need the lighting on the swapped face to match the original image's lighting conditions","I want the background and surrounding context to remain unchanged"],"best_for":["users creating realistic-looking face-swaps for entertainment or social media","creators who want swaps that don't immediately look obviously fake"],"limitations":["Pose preservation fails with extreme angles (>45° yaw) — swapped face may appear misaligned","Lighting correction is approximate — visible color/tone mismatches remain common, especially with different skin tones","No explicit 3D face model fitting — uses 2D landmark-based alignment which is less robust","Background preservation is implicit (not explicitly masked) — may cause artifacts at face boundaries"],"requires":["facial landmarks from both source and target faces","pose estimation (implicit in landmark detection)","lighting estimation from source image"],"input_types":["source face with pose and lighting context","target face identity"],"output_types":["face-swapped image with preserved pose and lighting"],"categories":["image-visual","computer-vision"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_facevary__cap_7","uri":"capability://tool.use.integration.web.based.ui.with.drag.and.drop.image.upload","name":"web-based ui with drag-and-drop image upload","description":"Provides a browser-based interface where users upload images via drag-and-drop or file picker, select faces interactively, and initiate processing with a single click. The UI manages state (selected faces, processing status) and provides visual feedback (loading spinners, progress indicators). This is a thin client-side layer that orchestrates the backend face-swap pipeline without requiring desktop software installation.","intents":["I want to use face-swapping without installing software or learning a complex interface","I need to upload images and get results quickly from any device with a browser","I want a simple, intuitive interface that doesn't require technical skills"],"best_for":["non-technical users and casual creators","users on mobile devices or shared computers who can't install software"],"limitations":["Browser-based UI limits file size handling — large images may timeout or fail","No offline capability — requires internet connection and active session","Mobile UI may be cramped or difficult to use for face selection on small screens","No batch upload or API access — requires manual per-image processing through UI"],"requires":["modern web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled","internet connection with sufficient bandwidth for image upload"],"input_types":["image files (JPEG, PNG) via drag-and-drop or file picker","user interactions (face selection, button clicks)"],"output_types":["rendered HTML UI with preview and download links"],"categories":["tool-use-integration","user-experience"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["JPEG or PNG image file","minimum image resolution ~200x200px","face occupying at least 5% of image area for reliable detection","two input images (source face and target image)","faces must be clearly visible and front-facing (±45° yaw tolerance)","minimum 256x256px resolution per face region","image with 2-5 clearly visible faces (free tier limit likely ~4 faces)","faces must be spatially separated enough for independent detection","minimum 256x256px per face region","user account with email verification"],"failure_modes":["Detection accuracy degrades with extreme angles (>45° yaw), heavy occlusion, or very small faces (<50px)","Landmark detection may fail on heavily stylized or artistic faces","No explicit handling of masked or partially obscured faces","Output quality is inconsistent — visible artifacts and unnatural skin tones are common, especially with extreme lighting or pose differences","Blending artifacts increase with larger pose differences between source and target faces (>30° rotation)","Free tier enforces 20-second processing delays and adds watermarks, degrading perceived quality","No explicit handling of expressions — swapped faces may not match source expression naturally","Processing time scales linearly with number of faces — 5-face swap takes ~5x longer than single-face swap","Blending artifacts compound when faces are close together or overlapping","No explicit face-to-face correspondence — system may produce unexpected pairings if faces are ambiguously positioned","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:30.892Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=facevary","compare_url":"https://unfragile.ai/compare?artifact=facevary"}},"signature":"HN/r3GpdWkly0pRIZIaO/xmMSO2jPGYqoMLM6WVZVdAJ0trSWkOgs8tWfE4L16tsAsdPeZFKMzNMwPsj6JPODA==","signedAt":"2026-06-21T07:15:57.463Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/facevary","artifact":"https://unfragile.ai/facevary","verify":"https://unfragile.ai/api/v1/verify?slug=facevary","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"}}