{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vidu","slug":"vidu","name":"Vidu","type":"product","url":"https://www.vidu.com","page_url":"https://unfragile.ai/vidu","categories":["video-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":"$9.99/mo"},"status":"active","verified":false},"capabilities":[{"id":"vidu__cap_0","uri":"capability://image.visual.text.to.video.generation.with.physics.aware.motion.synthesis","name":"text-to-video generation with physics-aware motion synthesis","description":"Converts natural language text prompts into short-form video clips (estimated 10-60 seconds) by processing semantic intent and generating frame sequences with coherent motion dynamics. The system appears to use a latent diffusion or autoregressive approach to synthesize video frames while maintaining physical plausibility of object and character movement, though the exact architecture (transformer-based, diffusion-based, or hybrid) is undocumented. Generation completes in approximately 10 seconds, suggesting optimized inference with potential quantization or distillation techniques.","intents":["I want to generate a short video clip from a text description without manual animation or keyframing","I need to quickly prototype visual ideas for storyboarding or concept validation","I want to create social media content (TikTok, Instagram Reels) from text prompts without video editing skills"],"best_for":["content creators and social media producers seeking rapid video prototyping","non-technical users without animation or video editing experience","teams needing quick visual asset generation for storyboarding workflows"],"limitations":["Prompt length limits are undocumented; complex or multi-clause prompts may degrade coherence","Video duration appears capped at estimated 30-60 seconds based on 10-second generation claims","No iterative refinement or prompt engineering feedback loop; single-pass generation only","Off-peak mode (free tier) likely introduces 2-5x latency or resolution degradation vs. paid peak access","No control over specific camera angles, shot composition, or cinematic parameters beyond text description"],"requires":["Web browser with modern JavaScript support (Chrome, Firefox, Safari, Edge)","Internet connection for cloud-based inference","Free account or paid subscription (pricing structure undocumented)"],"input_types":["text prompt (length limit unknown, estimated 50-500 characters based on typical UI constraints)"],"output_types":["video file (format unknown, likely MP4 or WebM; resolution unknown, claimed 'high-resolution' estimated 1080p-4K)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_1","uri":"capability://image.visual.image.to.video.motion.synthesis.with.directional.control","name":"image-to-video motion synthesis with directional control","description":"Transforms a static image (photograph, illustration, or artwork) into a short video by synthesizing plausible motion and camera movement based on a text prompt. The system infers motion intent from the text description and applies it to the reference image, generating intermediate frames that maintain visual consistency with the source while introducing dynamic elements. This likely uses optical flow prediction or latent space interpolation to avoid full frame regeneration, preserving image fidelity while adding temporal coherence.","intents":["I want to animate a still photograph or illustration with realistic motion without manual keyframing","I need to add camera movement (pan, zoom, push) to a static image based on a text description","I want to create a short video clip from a single artwork or photo for social media"],"best_for":["photographers and digital artists wanting to add motion to static assets","content creators repurposing existing images into video content","non-technical users without motion graphics or animation skills"],"limitations":["Image resolution and file size limits are undocumented; likely capped at 2K-4K to manage inference cost","Motion synthesis is constrained by the static reference; complex or unrealistic motion requests may fail or produce artifacts","No frame-by-frame control or masking; entire image is animated as a unit","Camera movement is inferred from text, not explicitly parameterized (no API for specifying zoom amount, pan direction, etc.)","Temporal consistency degrades with longer output videos (estimated 30-60 second limit)"],"requires":["Web browser with file upload capability","Static image file (format unknown, likely JPEG, PNG, WebP; max file size unknown)","Text prompt describing desired motion or camera movement","Free or paid account"],"input_types":["image file (format and resolution limits unknown)","text prompt (length limit unknown)"],"output_types":["video file (format and resolution unknown)"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_10","uri":"capability://memory.knowledge.project.management.and.reference.library.with.cloud.storage","name":"project management and reference library with cloud storage","description":"Provides a cloud-based project management system where users can save, organize, and reuse reference images in a 'My References' library. This enables users to build a personal asset library of character designs, styles, and visual references that can be applied across multiple video generation projects. The system likely stores references in a proprietary database with tagging, search, and organization features, enabling rapid iteration and consistency across projects.","intents":["I want to save and organize reference images for reuse across multiple video projects","I need to build a personal library of character designs and visual styles","I want to quickly apply consistent styling across multiple videos without re-uploading references"],"best_for":["content creators producing multiple videos with consistent character or style","teams managing shared reference libraries for collaborative projects","users building long-term projects with evolving character designs"],"limitations":["Reference storage is cloud-based and proprietary; no export or backup functionality documented","Reference organization features (tagging, search, folders) are undocumented; likely basic","No collaborative sharing of reference libraries; references are account-specific","Storage limits are undocumented; unclear if there are quotas or costs for large libraries","No version control or history tracking for reference images; no ability to revert to previous versions","Vendor lock-in; references cannot be migrated to other platforms"],"requires":["Free or paid account","Web browser with file upload capability","Internet connection for cloud storage"],"input_types":["image files (format and size limits unknown)"],"output_types":["organized reference library accessible across projects"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_11","uri":"capability://memory.knowledge.generation.history.and.project.tracking","name":"generation history and project tracking","description":"Maintains a cloud-based history of all generated videos and projects, allowing users to review, re-generate, or modify previous outputs. The system tracks generation parameters (prompts, reference images, settings), enabling users to iterate on previous generations or reproduce results. This likely includes metadata storage (generation time, model version, quality settings) and UI features for browsing and filtering history.","intents":["I want to review and iterate on previous video generations","I need to track which prompts and settings produced good results","I want to reproduce or modify a previous generation without re-entering all parameters"],"best_for":["iterative creators refining videos through multiple generations","teams tracking generation parameters for consistency and reproducibility","users learning prompt engineering through historical analysis"],"limitations":["History storage is cloud-based and proprietary; no export or backup functionality documented","History retention period is undocumented; unclear if old generations are deleted after a certain time","No version control or branching; history is linear and immutable","Metadata storage (prompts, settings) is undocumented; unclear what information is retained","No collaborative history sharing; history is account-specific","Storage limits are undocumented; unclear if there are quotas for history retention"],"requires":["Free or paid account","Web browser","Previous generations to track"],"input_types":["generation parameters (prompts, images, settings) from previous generations"],"output_types":["organized history of generated videos with metadata"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_2","uri":"capability://image.visual.multi.reference.character.consistency.across.video.sequences","name":"multi-reference character consistency across video sequences","description":"Maintains visual consistency of characters or objects across multiple video frames by accepting 1-7 reference images that define the target appearance. The system uses these references to constrain the generation process, ensuring that characters retain consistent facial features, clothing, pose variations, and identity across the entire video sequence. This likely employs identity embeddings (similar to face recognition or style transfer techniques) that are injected into the diffusion or autoregressive generation pipeline to enforce consistency without explicit keyframing or manual tracking.","intents":["I want to generate a multi-scene narrative where the same character appears consistently across different shots","I need to create a video where a specific person or character maintains their appearance and identity throughout","I want to generate anime or stylized videos where character design remains consistent across frames"],"best_for":["animators and character designers creating consistent character-driven narratives","content creators producing multi-scene stories or skits with recurring characters","teams building branded content where character consistency is critical"],"limitations":["Limited to 7 reference images maximum; consistency likely degrades with fewer references or if references are too dissimilar","Reference images must clearly show the target character/object; ambiguous or partial views may fail to establish identity","Consistency is frame-level only; no temporal smoothing across shots, so character appearance may shift between scenes if references are not comprehensive","No control over pose, expression, or action variations; system generates these automatically and may not match user intent","Consistency enforcement adds latency; generation time likely increases with number of references (estimated +2-5 seconds per additional reference)"],"requires":["1-7 reference images showing the target character/object from various angles or in different states","Text prompt describing the desired scene or action","Web browser with multi-file upload capability"],"input_types":["image files (1-7 reference images, format and resolution limits unknown)","text prompt (length limit unknown)"],"output_types":["video file with consistent character appearance across frames"],"categories":["image-visual","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_3","uri":"capability://image.visual.first.frame.and.last.frame.interpolation.for.motion.control","name":"first-frame and last-frame interpolation for motion control","description":"Generates a video sequence that begins with a user-provided first frame and ends with a user-provided last frame, synthesizing intermediate frames that smoothly transition between the two states. This approach constrains the generation to respect boundary conditions, enabling users to define the start and end states of motion without specifying intermediate keyframes. The system likely uses bidirectional diffusion or autoregressive generation with frame anchoring, where the first and last frames are encoded as hard constraints in the latent space.","intents":["I want to create a smooth motion transition between two specific poses or compositions","I need to generate a video where a character moves from pose A to pose B without manual keyframing","I want to create a morphing effect between two different scenes or states"],"best_for":["animators and motion designers wanting to define motion endpoints without intermediate keyframes","content creators creating transition effects or morphing sequences","users seeking more control over video generation than text-only prompts allow"],"limitations":["Intermediate frame quality depends on visual similarity between first and last frames; large differences may produce unrealistic or incoherent transitions","No control over motion speed, easing, or trajectory; interpolation is deterministic based on the two frames","Temporal consistency may degrade if first and last frames are too dissimilar or represent physically implausible transitions","No support for multiple simultaneous motion paths (e.g., character moves while camera pans); motion is inferred holistically","Generation time likely increases with visual distance between frames (estimated +5-10 seconds for complex transitions)"],"requires":["First frame image (format and resolution limits unknown)","Last frame image (format and resolution limits unknown)","Optional text prompt describing the desired motion or transition","Web browser with multi-file upload"],"input_types":["image file (first frame)","image file (last frame)","text prompt (optional, length limit unknown)"],"output_types":["video file with interpolated frames between the two boundary conditions"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_4","uri":"capability://image.visual.anime.and.stylized.character.animation.with.lifelike.motion","name":"anime and stylized character animation with lifelike motion","description":"Specializes in generating videos of anime, cartoon, and stylized characters with realistic motion dynamics and natural movement patterns. The system is explicitly optimized for 2D and 3D stylized art styles, applying physics-aware motion synthesis to ensure that character movements (walking, gesturing, facial expressions) appear natural and believable despite the stylized visual aesthetic. This likely involves style-specific training or fine-tuning of the base model, with separate motion synthesis pathways for stylized vs. photorealistic content.","intents":["I want to animate anime or cartoon characters with realistic, natural-looking motion","I need to create stylized character videos for animation projects or social media without manual frame-by-frame animation","I want to generate motion for 2D or 3D stylized art that maintains character design while adding lifelike movement"],"best_for":["anime and animation enthusiasts creating fan content or original animations","game developers needing stylized character animations","content creators producing anime-style social media content"],"limitations":["Motion quality is optimized for stylized characters; photorealistic content may be lower quality","Anime-specific training may limit generalization to other art styles or hybrid aesthetics","Facial animation and expression control are inferred from text; no explicit parameter control for eye movement, mouth shape, etc.","Character consistency across scenes requires reference images (see multi-reference capability); anime-specific consistency may degrade with fewer or lower-quality references","Motion synthesis may produce artifacts or unrealistic movements for complex actions (fighting, dancing) not well-represented in training data"],"requires":["Text prompt describing the desired scene or action","Optional reference images showing the target anime character or art style","Web browser"],"input_types":["text prompt (length limit unknown)","image files (optional, 1-7 reference images for character consistency)"],"output_types":["video file with anime or stylized character animation"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_5","uri":"capability://image.visual.cinematic.camera.movement.synthesis.from.text.descriptions","name":"cinematic camera movement synthesis from text descriptions","description":"Infers and synthesizes camera movements (pan, zoom, push, pull, dolly) from natural language text descriptions, applying them to generated or reference video content. The system parses directional and spatial language in prompts (e.g., 'camera begins behind them, slowly pushing forward') and translates it into parametric camera transformations applied during video generation. This likely uses a combination of natural language understanding (NLU) and learned camera motion priors to map text intent to 3D camera trajectories in the latent space.","intents":["I want to add cinematic camera movement to a video based on a text description","I need to create a dynamic shot with camera push, pan, or zoom without manual camera control","I want to generate videos with professional-looking cinematography without technical camera knowledge"],"best_for":["content creators and filmmakers wanting cinematic motion without manual camera work","non-technical users seeking professional-looking video output","social media creators needing dynamic shots for engagement"],"limitations":["Camera movement is inferred from text; no explicit API for specifying camera parameters (focal length, pan speed, zoom amount)","Complex camera movements (multi-axis rotation, complex dolly paths) may not be reliably inferred from text","Camera movement quality depends on prompt clarity; ambiguous descriptions may produce unexpected or unrealistic camera motion","No support for camera constraints or collision detection; camera may move through objects or off-screen","Camera movement adds computational cost; generation time likely increases with movement complexity"],"requires":["Text prompt with directional or spatial language describing desired camera movement","Web browser"],"input_types":["text prompt (length limit unknown, should include camera direction/movement language)"],"output_types":["video file with synthesized camera movement"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_6","uri":"capability://image.visual.volumetric.and.lighting.effects.synthesis","name":"volumetric and lighting effects synthesis","description":"Generates volumetric visual effects (lens flare, haze, atmospheric fog, bloom) and cinematic lighting within video frames during the generation process. Rather than post-processing, these effects are synthesized as part of the core video generation, ensuring physical plausibility and integration with scene geometry and lighting. This likely involves conditioning the diffusion or autoregressive model on lighting and atmospheric parameters, or using a separate effects synthesis module that operates in the latent space.","intents":["I want to add cinematic lighting effects (lens flare, bloom, haze) to generated videos without post-processing","I need to create atmospheric or moody videos with volumetric fog or light rays","I want to generate videos with professional-looking lighting without manual lighting setup"],"best_for":["content creators and filmmakers wanting cinematic visual effects without post-production","non-technical users seeking professional-looking output","social media creators needing visually striking content"],"limitations":["Effects are inferred from text descriptions; no explicit control over effect intensity, color, or placement","Complex or layered effects may not be reliably synthesized; text descriptions must be clear and specific","Effects quality depends on scene context; effects may not integrate naturally with all types of content","No support for selective effects (e.g., lens flare only on specific objects); effects are applied globally","Effects synthesis adds computational cost; generation time likely increases with effect complexity"],"requires":["Text prompt describing desired lighting or volumetric effects","Web browser"],"input_types":["text prompt (length limit unknown, should include effect descriptions)"],"output_types":["video file with synthesized lighting and volumetric effects"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_7","uri":"capability://automation.workflow.off.peak.mode.generation.with.time.based.throttling","name":"off-peak mode generation with time-based throttling","description":"Provides free video generation during off-peak hours (nights, weekends, or low-traffic periods) with potential latency or quality degradation compared to peak-hour paid access. The system implements time-based resource allocation, prioritizing paid users during peak hours and offering free generation when server capacity is available. This is a freemium monetization strategy that uses temporal demand management rather than credit-based metering, allowing unlimited free generation at the cost of longer wait times or lower output quality.","intents":["I want to generate videos for free without paying for peak-hour access","I need to batch-generate videos during off-peak hours to minimize costs","I want to try the platform before committing to a paid subscription"],"best_for":["budget-conscious creators and hobbyists willing to accept longer generation times","teams batch-processing videos during off-peak hours","users evaluating the platform before purchasing"],"limitations":["Off-peak hours are undefined; likely nights (10 PM - 6 AM) and weekends, but exact times are undocumented","Generation latency during off-peak is likely 2-5x higher than peak-hour paid access (estimated 20-50 seconds vs. 10 seconds)","Output quality may be degraded during off-peak (lower resolution, reduced consistency, fewer effects)","No guaranteed generation time; off-peak mode may be unavailable during high-demand periods","No credit system or usage tracking; unclear if off-peak generation is truly unlimited or subject to undocumented quotas"],"requires":["Free account (no payment required)","Access during off-peak hours (times undocumented)","Web browser"],"input_types":["text prompt, image files, or reference images (same as paid generation)"],"output_types":["video file (potentially lower resolution or quality than peak-hour generation)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_8","uri":"capability://automation.workflow.template.based.video.generation.with.preset.scenarios","name":"template-based video generation with preset scenarios","description":"Provides pre-built video templates for common scenarios (kissing, hugging, blossom effects, etc.) that users can customize with text prompts or reference images. Templates serve as starting points that constrain the generation to specific scene types, reducing the need for detailed prompt engineering and improving consistency. This likely uses template-specific model variants or prompt prefixes that bias generation toward the template scenario while allowing customization through additional text or image inputs.","intents":["I want to quickly generate a video for a common scenario without writing detailed prompts","I need to create consistent videos for a specific use case (e.g., romantic scenes, action sequences)","I want to reduce prompt engineering effort by using pre-built templates"],"best_for":["content creators producing high-volume, scenario-specific content","non-technical users unfamiliar with prompt engineering","teams needing consistent output for specific use cases"],"limitations":["Limited to pre-built scenarios; custom or niche use cases are not supported","Template customization is limited to text and image inputs; no structural or compositional control","Template-specific generation may produce less diverse or creative output compared to free-form text prompts","Template library is undocumented; unclear how many templates are available or how frequently they are updated","No ability to create or share custom templates; templates are platform-controlled"],"requires":["Selection of a pre-built template from the platform","Optional text customization or reference images","Web browser"],"input_types":["template selection (from platform-provided list)","text prompt (optional customization, length limit unknown)","image files (optional reference images)"],"output_types":["video file matching the selected template scenario"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__cap_9","uri":"capability://tool.use.integration.web.based.ui.with.cloud.only.inference","name":"web-based ui with cloud-only inference","description":"Provides a browser-based interface for all video generation capabilities with no local model inference or offline functionality. All computation is performed on cloud servers, with results streamed back to the user's browser. This architecture eliminates the need for local GPU resources and enables rapid iteration, but introduces latency, data transmission overhead, and vendor lock-in. The UI likely includes project management (My References, saved videos), account management, and generation history tracking.","intents":["I want to generate videos without installing software or managing local GPU resources","I need a quick, accessible tool for video generation without technical setup","I want to access my projects and generation history from any device"],"best_for":["non-technical users without GPU resources or technical setup capability","teams needing cloud-based collaboration and project management","users prioritizing accessibility and ease of use over local control"],"limitations":["No local inference; all computation depends on cloud availability and internet connectivity","Latency includes network round-trip time (estimated 100-500ms per request) plus generation time","No offline functionality; internet outage prevents all video generation","Data transmission overhead for large images or videos (estimated 10-100 MB per generation)","No API access documented; programmatic integration is not supported","Vendor lock-in; no model export or local deployment option","Data residency and privacy depend on platform's data handling policies (undocumented)"],"requires":["Web browser with modern JavaScript support (Chrome, Firefox, Safari, Edge)","Stable internet connection (minimum 5 Mbps estimated for video streaming)","Free or paid account"],"input_types":["text prompts, image files, reference images (via browser file upload)"],"output_types":["video files (streamed to browser, downloadable)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vidu__headline","uri":"capability://video.generation.ai.video.generation.platform","name":"ai video generation platform","description":"Vidu is an AI video generation platform that creates high-resolution videos from text and image inputs, enabling users to produce multi-scene narratives with consistent characters and dynamic motion quickly and effortlessly.","intents":["best AI video generation platform","AI video generation for content creators","top tools for fast video creation","AI video generator for marketers","high-resolution video generation software"],"best_for":["content creators","animators","marketers"],"limitations":["limited advanced editing features"],"requires":["text or image inputs"],"input_types":["text descriptions","still images"],"output_types":["high-resolution video files"],"categories":["video-generation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support (Chrome, Firefox, Safari, Edge)","Internet connection for cloud-based inference","Free account or paid subscription (pricing structure undocumented)","Web browser with file upload capability","Static image file (format unknown, likely JPEG, PNG, WebP; max file size unknown)","Text prompt describing desired motion or camera movement","Free or paid account","Internet connection for cloud storage","Web browser","Previous generations to track"],"failure_modes":["Prompt length limits are undocumented; complex or multi-clause prompts may degrade coherence","Video duration appears capped at estimated 30-60 seconds based on 10-second generation claims","No iterative refinement or prompt engineering feedback loop; single-pass generation only","Off-peak mode (free tier) likely introduces 2-5x latency or resolution degradation vs. paid peak access","No control over specific camera angles, shot composition, or cinematic parameters beyond text description","Image resolution and file size limits are undocumented; likely capped at 2K-4K to manage inference cost","Motion synthesis is constrained by the static reference; complex or unrealistic motion requests may fail or produce artifacts","No frame-by-frame control or masking; entire image is animated as a unit","Camera movement is inferred from text, not explicitly parameterized (no API for specifying zoom amount, pan direction, etc.)","Temporal consistency degrades with longer output videos (estimated 30-60 second limit)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"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":"2026-05-24T12:16:34.118Z","last_scraped_at":null,"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=vidu","compare_url":"https://unfragile.ai/compare?artifact=vidu"}},"signature":"Ulkt94//9Wdd1BUGiIGIgWv0jJTv86hn0kG2WHe4ZyrFI5aXwUmNZZ7kaQiIDjuUms7uNxpy4zonm7cIcnDDDw==","signedAt":"2026-06-22T05:26:03.222Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/vidu","artifact":"https://unfragile.ai/vidu","verify":"https://unfragile.ai/api/v1/verify?slug=vidu","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"}}