{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"magnific-ai","slug":"magnific-ai","name":"Magnific AI","type":"product","url":"https://magnific.ai","page_url":"https://unfragile.ai/magnific-ai","categories":["image-generation"],"tags":[],"pricing":{"model":"subscription","free":false,"starting_price":"$39/mo"},"status":"active","verified":false},"capabilities":[{"id":"magnific-ai__cap_0","uri":"capability://image.visual.prompt.guided.image.upscaling.with.detail.hallucination","name":"prompt-guided image upscaling with detail hallucination","description":"Upscales low-resolution images to ultra-high-resolution outputs (up to 10K) by using generative AI to hallucinate new detail and texture guided by natural language prompts. The system encodes user prompts as conditioning signals that steer the upscaling process, allowing creative control over what details are invented during resolution expansion. Processing occurs server-side via SaaS API with no client-side computation required.","intents":["I want to enlarge a low-res image while adding realistic detail that matches a specific style or description","I need to upscale product photos while emphasizing certain visual qualities through text prompts","I want to transform a thumbnail into a high-resolution asset without losing coherence"],"best_for":["creative professionals (designers, photographers, video editors) needing high-quality asset scaling","marketing teams creating campaign assets from limited source material","content creators producing social media or advertising imagery at scale"],"limitations":["Output is non-deterministic — same input + prompt may produce slightly different results across runs","Hallucination-based approach trades pixel-perfect fidelity for creative detail invention; not suitable for archival or forensic use cases","Maximum input resolution and exact output resolution specifications ('10K') are undocumented","Processing latency is unspecified; typical generative upscaling takes 10-60 seconds per image","No batch processing documentation; unclear if multiple images can be upscaled concurrently"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only, no offline capability)","Image file in common format (JPEG, PNG, WebP — exact formats unspecified)","Natural language prompt (optional but recommended for best results)"],"input_types":["image (JPEG, PNG, WebP — formats inferred but not documented)","text (natural language prompt describing desired style, detail, or aesthetic)"],"output_types":["image (high-resolution output, format matching input or configurable)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_1","uri":"capability://image.visual.multi.model.image.generation.with.reference.images","name":"multi-model image generation with reference images","description":"Generates new images from text prompts using a selection of generative models (GPT-2, Flux 2, Veo 3, Seedream 5, Kling 3, Runway Gen 4.5, Wan, Minimax) with support for multi-image references to guide composition and style. Users can provide multiple reference images that condition the generation process, allowing style transfer or composition-based generation. Model selection is user-configurable, enabling trade-offs between speed, quality, and creative style.","intents":["I want to generate product mockups or lifestyle images based on text descriptions and style references","I need to create multiple variations of a concept using different generative models to compare quality","I want to generate images that match the visual style of reference photos I provide"],"best_for":["creative agencies and studios generating campaign assets at scale","product teams creating mockups and prototypes without photography","content creators producing social media imagery with consistent style"],"limitations":["Model selection guidance is absent — no documentation of which model excels at which task (photorealism vs. illustration vs. 3D rendering)","Multi-image reference behavior is undocumented — unclear how many references are supported or how conflicts are resolved","Output quality and consistency vary significantly by model; no quality benchmarks provided","Generation latency is unspecified; likely 15-120 seconds depending on model and complexity","No deterministic seeding documented; reproducibility across generations is uncertain"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Text prompt describing desired image","Optional: reference images (format and count limits unspecified)"],"input_types":["text (natural language prompt)","image (reference images for style/composition guidance — count and format unspecified)"],"output_types":["image (generated output, format and resolution configurable)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_10","uri":"capability://image.visual.3d.scene.generation.and.photorealistic.rendering.from.images","name":"3d scene generation and photorealistic rendering from images","description":"Generates 3D scenes and environments from images or text prompts, enabling 'direct photoshoots with full control'. The system converts 2D images into 3D representations with lighting, materials, and camera control. Implementation suggests image-to-3D conversion with potential for generative 3D synthesis.","intents":["I want to create a 3D product model from a 2D photo for interactive visualization","I need to generate a 3D environment from a reference image for a game or VR experience","I want to render multiple camera angles and lighting conditions from a single 3D scene"],"best_for":["product teams creating interactive 3D product visualizations","game developers generating 3D assets from concept art","VR/AR developers creating 3D environments from reference images"],"limitations":["3D generation approach and output format are completely undocumented","Supported 3D file formats (GLTF, FBX, OBJ, etc.) are unspecified","Geometry quality, texture fidelity, and material accuracy are unspecified","Camera control and rendering parameters are undocumented","Processing latency is likely 60-600 seconds depending on scene complexity","No batch 3D generation or multi-scene generation documented","Compatibility with game engines (Unity, Unreal) and 3D software (Blender, Maya) is unspecified"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Image file or text prompt describing desired 3D scene","Optional: reference images for style guidance (format unspecified)"],"input_types":["image (JPEG, PNG, WebP — formats inferred)","text (optional prompt describing desired 3D scene)"],"output_types":["3D model (format unspecified — likely GLTF, FBX, or OBJ)","image (rendered output from 3D scene)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_11","uri":"capability://automation.workflow.node.based.workflow.automation.with.spaces.canvas","name":"node-based workflow automation with spaces canvas","description":"Provides a node-based visual programming interface ('Spaces') for creating reproducible, automatable workflows combining multiple AI operations (image generation, upscaling, video synthesis, audio generation, etc.). Users connect nodes representing different operations, configure parameters, and execute complex multi-step pipelines. Implementation suggests server-side workflow execution with state management and result caching.","intents":["I want to automate a multi-step creative process (e.g., generate image → upscale → add effects → export)","I need to create reproducible workflows that my team can reuse and modify","I want to batch process hundreds of images through a complex pipeline without manual intervention"],"best_for":["creative agencies and studios automating repetitive asset generation workflows","teams building custom creative pipelines without coding","content creators scaling production through workflow automation"],"limitations":["Node types and available operations are undocumented; unclear which Magnific features are exposed as nodes","Workflow export and portability are unspecified — no documentation of whether workflows can be exported or shared","Workflow format is proprietary; no standard format (JSON, YAML) mentioned, creating vendor lock-in","Batch processing capabilities are undocumented — unclear if workflows can process multiple inputs in parallel","Workflow execution latency and resource limits are unspecified","Error handling and retry logic are undocumented","No version control or workflow history documented"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Access to Magnific's 'Spaces' interface (web-based, no desktop client mentioned)","Understanding of node-based workflow concepts (similar to Nuke, Blender, or Houdini)"],"input_types":["images, text prompts, video files, audio files (depending on nodes used)","workflow configuration (node graph, parameter values)"],"output_types":["images, video, audio, 3D models (depending on nodes used)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_12","uri":"capability://automation.workflow.team.collaboration.and.asset.management.with.on.brand.consistency","name":"team collaboration and asset management with on-brand consistency","description":"Enables team collaboration on creative projects with shared asset libraries, version control, and on-brand consistency enforcement. Teams can collaborate on workflows, share generated assets, and maintain brand guidelines across projects. Implementation suggests centralized asset storage with permission management and brand guideline enforcement through AI.","intents":["I want my team to generate assets that match our brand guidelines without manual review","I need to share workflows and assets with team members and track versions","I want to enforce consistent visual style across all team-generated content"],"best_for":["creative agencies and studios managing multiple projects and team members","marketing teams ensuring brand consistency across campaigns","enterprises with distributed creative teams needing centralized asset management"],"limitations":["Brand consistency enforcement mechanism is undocumented — unclear how brand guidelines are specified or enforced","Permission and access control model is unspecified","Asset versioning and history tracking are undocumented","Collaboration features (real-time editing, comments, approvals) are not described","Asset storage limits and retention policies are unspecified","Integration with external asset management systems (DAM) is not mentioned"],"requires":["Magnific AI account with team/enterprise plan (pricing and plan details unspecified)","Internet connection (SaaS-only)","Team members with Magnific accounts","Brand guidelines or style reference (format unspecified)"],"input_types":["brand guidelines or style reference (format unspecified)","collaborative workflow configurations","asset uploads and management"],"output_types":["shared assets (images, video, audio, 3D models)","version history and audit logs"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_13","uri":"capability://search.retrieval.integrated.stock.content.library.access.with.250m.licensed.assets","name":"integrated stock content library access with 250m+ licensed assets","description":"Provides access to a curated library of 250M+ licensed stock assets including photos, vectors, icons, templates, video, and PSD files. Users can search and integrate stock assets directly into workflows, reducing the need for external stock photo licensing. Implementation suggests full-text and semantic search over a centralized asset database with direct integration into Magnific's creative tools.","intents":["I want to find and use stock photos without leaving the creative platform","I need to access licensed vectors, icons, and templates for my projects","I want to combine stock assets with AI-generated content in a single workflow"],"best_for":["content creators and designers needing quick access to stock assets","agencies and studios reducing external licensing costs","teams building projects that combine stock and AI-generated content"],"limitations":["Stock asset licensing terms are undocumented — unclear if assets are included in subscription or require additional licensing","Search capabilities and filtering options are not described","Asset quality and curation standards are unspecified","Exclusivity and usage rights for stock assets are undocumented","Integration with external stock libraries (Shutterstock, Getty Images) is not mentioned","Asset download and export formats are unspecified"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Search query or asset browsing"],"input_types":["text (search query for stock assets)","filters (category, style, color, etc. — format unspecified)"],"output_types":["stock assets (photos, vectors, icons, templates, video, PSD files — formats inferred)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_14","uri":"capability://tool.use.integration.developer.api.with.pay.as.you.go.pricing.and.multi.endpoint.support","name":"developer api with pay-as-you-go pricing and multi-endpoint support","description":"Provides a REST API for programmatic access to Magnific's AI capabilities including image generation, upscaling, video synthesis, audio generation, and 3D creation. Developers can integrate Magnific's models into custom applications using pay-as-you-go pricing with no long-term commitments. Implementation suggests standard REST endpoints with JSON request/response format and API key authentication.","intents":["I want to integrate Magnific's image upscaling into my SaaS product","I need to build a custom application that generates videos from user prompts","I want to automate asset generation for my platform without building my own models"],"best_for":["developers building AI-powered applications and integrating third-party models","SaaS companies adding generative AI features without model training","startups prototyping AI products with minimal infrastructure investment"],"limitations":["API documentation is not provided in the artifact; endpoint specifications, request/response formats, and authentication method are unknown","Rate limits and quota management are unspecified","Batch processing and asynchronous job support are undocumented","Webhook support for long-running operations is not mentioned","Error handling and retry logic are undocumented","SLA and uptime guarantees are not specified","Pricing per API call or per model is completely undocumented","SDK availability (Python, JavaScript, Go, etc.) is not mentioned"],"requires":["Magnific AI account with API access enabled","API key for authentication","HTTP client library (curl, requests, axios, etc.)","Understanding of REST API concepts","Internet connection (SaaS-only)"],"input_types":["JSON request bodies with images (base64 or URL), text prompts, and parameters","image files (format and size limits unspecified)"],"output_types":["JSON responses with generated assets (images, video, audio, 3D models)","URLs or base64-encoded outputs (format unspecified)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_2","uri":"capability://image.visual.image.enhancement.and.relighting.with.localized.control","name":"image enhancement and relighting with localized control","description":"Enhances image quality through operations including relighting, color correction, and detail enhancement. The system applies AI-driven transformations to improve visual appeal, adjust lighting conditions, and enhance texture detail. Implementation details are sparse, but the feature set suggests selective enhancement (not full-image processing) with potential for localized control via masking or region selection.","intents":["I want to improve the lighting in a product photo without reshooting","I need to enhance image quality and detail for print or high-resolution display","I want to adjust the mood of a photo by changing lighting conditions"],"best_for":["photographers and retouchers improving existing shots without re-shooting","e-commerce teams enhancing product photography at scale","content creators fixing lighting issues in social media or marketing imagery"],"limitations":["Enhancement algorithm and approach are completely undocumented; unclear if it uses generative inpainting, traditional image processing, or hybrid methods","No control parameters documented — users cannot specify lighting direction, intensity, or color temperature","Localized control (masking, region selection) is not mentioned; may only support full-image enhancement","Output quality and artifact generation are unspecified; risk of hallucination or unnatural results","Processing latency is unspecified"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Image file in common format (JPEG, PNG, WebP — formats inferred)"],"input_types":["image (JPEG, PNG, WebP — formats inferred but not documented)"],"output_types":["image (enhanced output, format matching input or configurable)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_3","uri":"capability://image.visual.image.transformation.and.resizing.with.aspect.ratio.control","name":"image transformation and resizing with aspect ratio control","description":"Transforms and resizes images while maintaining or adjusting aspect ratios. The system supports arbitrary dimension changes, likely using generative inpainting or content-aware resizing to fill new canvas areas when expanding. Implementation suggests server-side processing with support for multiple output dimensions and aspect ratios.","intents":["I need to resize an image to fit a specific social media platform's dimensions (Instagram, TikTok, LinkedIn)","I want to expand an image to a new aspect ratio without cropping important content","I need to create multiple versions of an image at different sizes for responsive design"],"best_for":["content creators and social media managers adapting assets for multiple platforms","marketing teams creating responsive image assets for web and mobile","designers needing quick dimension adjustments without manual cropping"],"limitations":["Resizing algorithm is undocumented — unclear if it uses content-aware resizing, generative inpainting, or simple scaling","No control over how new canvas areas are filled when expanding (e.g., extend background, generate new content)","Aspect ratio constraints and supported dimensions are unspecified","Quality degradation at extreme aspect ratio changes is unspecified","Batch resizing capability is not documented"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Image file in common format (JPEG, PNG, WebP — formats inferred)","Target dimensions or aspect ratio"],"input_types":["image (JPEG, PNG, WebP — formats inferred)","numeric parameters (target width, height, or aspect ratio)"],"output_types":["image (resized output, format matching input or configurable)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_4","uri":"capability://image.visual.image.editing.with.generative.inpainting.and.outpainting","name":"image editing with generative inpainting and outpainting","description":"Enables selective image editing through generative inpainting (modifying masked regions) and outpainting (extending image boundaries). Users can mask areas to be regenerated or extended, with the system using generative models to fill masked regions coherently with surrounding content. Implementation suggests mask-based region selection with generative completion.","intents":["I want to remove or replace an object in an image without manual cloning","I need to extend an image beyond its original boundaries to fit a new composition","I want to modify a specific region of an image while preserving the rest"],"best_for":["photographers and retouchers removing unwanted elements from images","designers extending images for banner or poster layouts","content creators fixing composition issues without re-shooting"],"limitations":["Mask creation interface and tools are not documented — unclear if users draw masks manually or use automatic selection","Inpainting quality and artifact generation are unspecified; risk of hallucination or unnatural fills","Outpainting behavior (how boundaries are extended) is undocumented","No control over inpainting style or content guidance (e.g., 'fill with sky' vs. 'fill with texture')","Processing latency is unspecified"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Image file in common format (JPEG, PNG, WebP — formats inferred)","Mask or region selection (manual or automatic)"],"input_types":["image (JPEG, PNG, WebP — formats inferred)","mask or region selection (format and creation method unspecified)"],"output_types":["image (edited output, format matching input or configurable)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_5","uri":"capability://image.visual.static.image.to.dynamic.video.conversion.with.motion.control","name":"static image to dynamic video conversion with motion control","description":"Converts static images into dynamic video sequences by generating motion and temporal coherence across frames. Users can control motion direction, intensity, and style through parameters or prompts. The system uses generative video models (Veo 3, Kling 3, Runway Gen 4.5) to synthesize intermediate frames and create smooth video output from a single image input.","intents":["I want to create a short video clip from a product photo for social media","I need to animate a still image with controlled motion for a presentation or advertisement","I want to generate multiple video variations with different motion styles from a single image"],"best_for":["content creators and social media managers converting static assets to video","marketing teams creating animated product demonstrations from photography","video editors augmenting footage with AI-generated motion sequences"],"limitations":["Motion control parameters are undocumented — unclear what 'motion control' means (direction, speed, type of motion)","Video duration and frame rate are unspecified","Model selection guidance is absent — no documentation of which model produces which motion style","Output quality and temporal coherence issues (flickering, jitter) are unspecified","Processing latency is likely 30-300 seconds depending on video length and model","No batch video generation documented"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Image file in common format (JPEG, PNG, WebP — formats inferred)","Motion parameters or prompt (format and constraints unspecified)"],"input_types":["image (JPEG, PNG, WebP — formats inferred)","text or parameters (motion description or control values — format unspecified)"],"output_types":["video (MP4, WebM, or other format — codec and resolution unspecified)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_6","uri":"capability://image.visual.video.generation.with.shot.and.scene.composition","name":"video generation with shot and scene composition","description":"Generates video sequences from text prompts, supporting both individual shots and full multi-shot scenes. Users can describe complex video compositions, and the system synthesizes coherent video output using generative models (Veo 3, Kling 3, Runway Gen 4.5). Implementation suggests prompt-to-video generation with potential for scene composition and shot sequencing.","intents":["I want to generate a 10-second product demo video from a text description","I need to create a multi-shot scene (e.g., establishing shot + close-up) from a single prompt","I want to generate video variations with different compositions or camera movements"],"best_for":["content creators and video producers generating footage without filming","marketing teams creating video assets for campaigns and advertisements","filmmakers and directors prototyping shots and scenes before production"],"limitations":["Scene composition and shot sequencing behavior is undocumented — unclear how multi-shot scenes are generated or controlled","Video duration limits are unspecified; typical generative video is 4-10 seconds","Model selection guidance is absent — no documentation of which model excels at which shot type","Output quality, temporal coherence, and consistency across shots are unspecified","Processing latency is likely 60-600 seconds depending on video length and complexity","No batch generation or parallel processing documented"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Text prompt describing desired video content and composition","Optional: reference images or style guidance (format unspecified)"],"input_types":["text (natural language prompt describing video content, shots, and composition)","image (optional reference images for style guidance — count and format unspecified)"],"output_types":["video (MP4, WebM, or other format — codec and resolution unspecified, likely 1080p or 4K)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_7","uri":"capability://image.visual.video.editing.with.precise.motion.and.timing.control","name":"video editing with precise motion and timing control","description":"Edits existing video sequences with precise control over motion, timing, and visual effects. Users can modify motion paths, adjust timing of events, and apply visual enhancements to video clips. Implementation suggests frame-level or segment-level editing with generative enhancement capabilities.","intents":["I want to adjust the speed or timing of motion in a video clip","I need to modify motion paths or camera movements in existing footage","I want to enhance video quality or apply visual effects to specific segments"],"best_for":["video editors and producers refining footage without re-shooting","content creators adjusting timing and motion in social media videos","filmmakers fine-tuning motion and visual effects in post-production"],"limitations":["Editing interface and control parameters are completely undocumented","Precision of motion control (frame-level vs. segment-level) is unspecified","Visual effects available and their parameters are undocumented","Processing latency for video editing is unspecified; likely 30-600 seconds depending on video length","No batch editing or multi-clip editing documented","Compatibility with standard video formats and codecs is unspecified"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Video file in common format (MP4, WebM, MOV — formats inferred)","Editing parameters or prompts (format and constraints unspecified)"],"input_types":["video (MP4, WebM, MOV — formats inferred but not documented)","text or parameters (editing instructions or control values — format unspecified)"],"output_types":["video (MP4, WebM, or other format — codec and resolution unspecified)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_8","uri":"capability://image.visual.text.to.speech.and.voice.cloning.with.lip.sync.synthesis","name":"text-to-speech and voice cloning with lip-sync synthesis","description":"Converts text to speech using ElevenLabs integration, with support for voice cloning and automatic lip-sync synthesis for video. Users can provide text and select or clone a voice, and the system generates audio with matching lip movements for video integration. Implementation uses ElevenLabs API for TTS and proprietary or third-party lip-sync generation.","intents":["I want to generate voiceover audio for a video without hiring a voice actor","I need to clone a specific voice and use it for multiple video projects","I want to create video with synchronized audio and lip movements from text"],"best_for":["content creators and video producers generating voiceovers at scale","marketing teams creating multilingual video content with consistent voice","filmmakers and animators adding dialogue to video without re-recording"],"limitations":["Voice cloning requirements are undocumented — unclear how much audio is needed to clone a voice","Lip-sync accuracy and video format compatibility are unspecified","Language support is not documented; ElevenLabs supports 29+ languages, but Magnific's support is unclear","Voice quality and naturalness vary by voice and language; no benchmarks provided","Processing latency is unspecified; likely 5-60 seconds depending on text length","No batch TTS or voice cloning documented"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Text input for speech synthesis","Optional: audio sample for voice cloning (format and duration unspecified)","Optional: video file for lip-sync synthesis (format unspecified)"],"input_types":["text (natural language text to be synthesized)","audio (optional voice sample for cloning — format and duration unspecified)","video (optional video file for lip-sync synthesis — format unspecified)"],"output_types":["audio (MP3, WAV, or other format — codec unspecified)","video (with lip-sync, format and codec unspecified)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__cap_9","uri":"capability://image.visual.sound.generation.and.audio.synthesis.from.prompts","name":"sound generation and audio synthesis from prompts","description":"Generates sound effects and audio from text prompts using generative audio models. Users describe desired sounds (e.g., 'rain on a tin roof', 'crowd cheering'), and the system synthesizes matching audio. Implementation suggests prompt-to-audio generation with potential for style and intensity control.","intents":["I want to generate sound effects for a video without licensing stock audio","I need to create ambient audio or background sounds for a project","I want to generate multiple audio variations to find the best match for a scene"],"best_for":["video creators and producers generating sound effects at scale","game developers creating audio assets for interactive content","content creators adding audio to videos without stock audio licensing"],"limitations":["Sound generation model and approach are undocumented","Audio quality, naturalness, and artifact generation are unspecified","Duration limits for generated audio are unspecified","Style and intensity control parameters are undocumented","Processing latency is unspecified; likely 5-30 seconds per sound","No batch sound generation documented"],"requires":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only)","Text prompt describing desired sound"],"input_types":["text (natural language description of desired sound)"],"output_types":["audio (MP3, WAV, or other format — codec and duration unspecified)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"magnific-ai__headline","uri":"capability://image.visual.ai.image.upscaler.and.enhancer","name":"ai image upscaler and enhancer","description":"Magnific AI is an advanced AI image upscaler and enhancer that transforms low-resolution images into ultra-high-resolution outputs with controllable creativity, guided by natural language prompts.","intents":["best AI image upscaler","AI image enhancer for creative projects","top tools for image resolution enhancement","AI tools for image detail generation","best AI solutions for high-resolution images"],"best_for":["creatives","enterprises","agencies"],"limitations":["may not achieve perfect fidelity for all images"],"requires":["low-resolution images","natural language prompts"],"input_types":["images","text prompts"],"output_types":["high-resolution images","dynamic videos","audio outputs"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"high","permissions":["Magnific AI account with active subscription or pay-as-you-go credits","Internet connection (SaaS-only, no offline capability)","Image file in common format (JPEG, PNG, WebP — exact formats unspecified)","Natural language prompt (optional but recommended for best results)","Internet connection (SaaS-only)","Text prompt describing desired image","Optional: reference images (format and count limits unspecified)","Image file or text prompt describing desired 3D scene","Optional: reference images for style guidance (format unspecified)","Access to Magnific's 'Spaces' interface (web-based, no desktop client mentioned)"],"failure_modes":["Output is non-deterministic — same input + prompt may produce slightly different results across runs","Hallucination-based approach trades pixel-perfect fidelity for creative detail invention; not suitable for archival or forensic use cases","Maximum input resolution and exact output resolution specifications ('10K') are undocumented","Processing latency is unspecified; typical generative upscaling takes 10-60 seconds per image","No batch processing documentation; unclear if multiple images can be upscaled concurrently","Model selection guidance is absent — no documentation of which model excels at which task (photorealism vs. illustration vs. 3D rendering)","Multi-image reference behavior is undocumented — unclear how many references are supported or how conflicts are resolved","Output quality and consistency vary significantly by model; no quality benchmarks provided","Generation latency is unspecified; likely 15-120 seconds depending on model and complexity","No deterministic seeding documented; reproducibility across generations is uncertain","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":"2026-05-24T12:16:23.328Z","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=magnific-ai","compare_url":"https://unfragile.ai/compare?artifact=magnific-ai"}},"signature":"wQEfZOr+I6IyBSU4kSRalG8gexCToiOTB28goFiNfyOI3R+R+vlMNjnvWEymvujSApr1o8ErTgeMSWJZBTQxCA==","signedAt":"2026-06-21T08:53:01.167Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/magnific-ai","artifact":"https://unfragile.ai/magnific-ai","verify":"https://unfragile.ai/api/v1/verify?slug=magnific-ai","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"}}