{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_dreamyrooms","slug":"dreamyrooms","name":"DreamyRooms","type":"webapp","url":"https://dreamyrooms.vercel.app","page_url":"https://unfragile.ai/dreamyrooms","categories":["image-generation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_dreamyrooms__cap_0","uri":"capability://image.visual.theme.based.room.image.transformation","name":"theme-based room image transformation","description":"Accepts user-uploaded room photographs and applies pre-configured design theme styles (modern, minimalist, bohemian, etc.) through a generative image model pipeline. The system likely uses conditional image generation with style embeddings or LoRA fine-tuning to consistently apply aesthetic parameters across furniture, colors, and decor elements while preserving the original room layout and proportions.","intents":["I want to see what my living room would look like in a modern design style without hiring an interior designer","I need to visualize multiple aesthetic directions for a room refresh to decide which direction appeals to me","I want to generate design inspiration quickly before committing budget to actual renovations"],"best_for":["homeowners and renters exploring design aesthetics without professional consultation","non-designers seeking quick visualization of room transformation possibilities","budget-conscious users wanting to preview multiple styles before renovation investment"],"limitations":["Pre-set themes limit customization — users cannot adjust specific colors, materials, or individual design elements beyond theme selection","AI-generated furniture placement sometimes produces unrealistic proportions or spatial arrangements that don't account for actual room dimensions or structural constraints","No parametric control over design variables (e.g., color palette, material types, lighting intensity) — only discrete theme selection available","Output quality varies depending on input image clarity, lighting conditions, and room complexity"],"requires":["Web browser with modern JavaScript support","Image file in JPEG or PNG format (typical max 10-20MB based on webapp constraints)","Active internet connection for cloud-based image processing"],"input_types":["image (JPEG, PNG)"],"output_types":["image (JPEG, PNG)"],"categories":["image-visual","design-visualization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_1","uri":"capability://image.visual.real.time.design.preview.rendering","name":"real-time design preview rendering","description":"Generates and displays transformed room images with minimal latency after theme selection, enabling users to see design changes immediately without page reloads or long processing delays. Likely implements client-side image caching, progressive image loading, and server-side batch processing with result streaming to provide responsive UI feedback.","intents":["I want to quickly compare how different design themes look on my room without waiting between generations","I need to see a preview before committing to purchase or download the design result","I want to iterate through multiple theme options rapidly to find my preferred aesthetic"],"best_for":["users with limited patience for processing delays who want interactive exploration","mobile users on variable network conditions requiring responsive feedback","design decision-makers needing rapid A/B comparison of multiple aesthetic options"],"limitations":["Real-time rendering requires sufficient server capacity — may experience slowdowns during peak usage periods","Preview quality may be reduced resolution to maintain responsiveness, requiring full-resolution download separately","Network latency on slower connections (3G/4G) can degrade perceived real-time experience despite optimizations"],"requires":["Web browser with WebGL or Canvas support for image rendering","Minimum 2Mbps downstream bandwidth for acceptable preview latency","Server-side image processing infrastructure (likely cloud-hosted)"],"input_types":["user interaction (theme selection)"],"output_types":["image (preview resolution, typically 800x600 or similar)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_2","uri":"capability://image.visual.multi.theme.design.comparison.interface","name":"multi-theme design comparison interface","description":"Provides a structured UI for selecting and comparing multiple pre-defined design themes (modern, minimalist, bohemian, etc.) applied to the same room image. The system maintains a theme registry with associated style parameters and generates parallel transformations, enabling side-by-side or carousel-based visual comparison without re-uploading the source image.","intents":["I want to see how 3-4 different design styles would look on my room to compare aesthetics side-by-side","I need to narrow down my design preference from a curated set of professional theme options","I want to understand how different design philosophies transform the same space"],"best_for":["indecisive users who benefit from constrained choice sets rather than open-ended customization","non-designers who lack vocabulary to describe design preferences and benefit from named theme categories","users exploring design trends and wanting to understand how established aesthetics apply to their space"],"limitations":["Fixed theme set limits exploration — users cannot create custom hybrid themes or blend multiple aesthetics","Theme definitions are opaque to users — no visibility into what design parameters constitute each theme","Comparison UI may become cluttered with more than 4-6 simultaneous theme previews, limiting practical comparison scope"],"requires":["Web browser with sufficient viewport size for multi-panel comparison (minimum 1024px width recommended)","Server-side theme registry and generation pipeline"],"input_types":["image (room photograph)","user interaction (theme selection from predefined set)"],"output_types":["image array (multiple transformed versions of same room)"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_3","uri":"capability://data.processing.analysis.image.upload.and.preprocessing.pipeline","name":"image upload and preprocessing pipeline","description":"Handles user image uploads through a web form interface with client-side validation, format conversion, and server-side preprocessing including orientation correction, resolution normalization, and metadata extraction. Likely implements file size limits, format validation, and EXIF data handling to prepare images for downstream generative model processing.","intents":["I want to upload a photo of my room from my phone or computer without technical friction","I need to ensure my image is in the correct format and orientation before processing","I want to upload multiple room photos to compare design options across different spaces"],"best_for":["non-technical users uploading photos from mobile devices or cameras","users with images in various formats and orientations requiring automatic correction","batch users wanting to process multiple room photos sequentially"],"limitations":["File size limits (typically 10-20MB for webapp) restrict ultra-high-resolution images or video input","Supported formats limited to JPEG and PNG — no WEBP, HEIC, or RAW format support","Automatic orientation correction may fail on images with non-standard EXIF data or manually rotated photos","No batch upload capability — users must process rooms one at a time"],"requires":["Web browser with File API support (all modern browsers)","Image file in JPEG or PNG format","File size under service limit (estimated 10-20MB)"],"input_types":["image (JPEG, PNG)"],"output_types":["normalized image (standardized resolution, orientation, format)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_4","uri":"capability://automation.workflow.design.result.download.and.export","name":"design result download and export","description":"Enables users to download transformed room images in high resolution after generation, with options for format selection (JPEG, PNG) and potential metadata embedding. Implements server-side result caching to avoid regeneration on repeated download requests and likely includes watermarking or branding for free-tier results.","intents":["I want to download the generated design image to share with family or contractors","I need a high-resolution version of the design result for printing or presentation purposes","I want to save multiple design variations for comparison and reference"],"best_for":["users wanting to share design results with contractors, family, or on social media","homeowners preparing design boards or renovation proposals","users archiving design explorations for future reference"],"limitations":["Downloaded images may include watermarks or branding, especially on free/trial tier results","High-resolution downloads may be restricted to paid tier or require additional processing time","No batch download capability — users must download results individually","Downloaded images lack metadata about design theme or generation parameters for future reference"],"requires":["Web browser with download capability","Sufficient local storage for image file (typically 2-5MB per high-res image)"],"input_types":["user interaction (download button click)"],"output_types":["image file (JPEG or PNG, high resolution)"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_5","uri":"capability://image.visual.room.image.analysis.and.feature.detection","name":"room image analysis and feature detection","description":"Analyzes uploaded room images to detect structural elements (walls, windows, doors, furniture) and spatial characteristics (room size estimation, lighting conditions, existing color palette) to inform theme application. Uses computer vision techniques (object detection, semantic segmentation) to understand room layout and ensure generated designs respect spatial constraints and maintain realistic proportions.","intents":["I want the AI to understand my room's actual layout so it doesn't place furniture in unrealistic positions","I need the design transformation to account for my room's lighting and existing architectural features","I want the generated design to respect my room's actual dimensions and proportions"],"best_for":["users with complex room layouts (multiple windows, alcoves, irregular shapes) requiring spatial awareness","users wanting realistic furniture placement rather than abstract style transfer","users with specific architectural constraints (low ceilings, narrow spaces) that should influence design"],"limitations":["Feature detection accuracy varies with image quality, lighting conditions, and room complexity","Occluded or partially visible elements (furniture behind doors, items in shadows) may be missed by detection pipeline","Room size estimation from single 2D image is inherently imprecise without depth information or reference objects","Existing furniture detection may confuse generated furniture with real furniture, leading to overlapping or unrealistic placements","No 3D reconstruction — analysis remains 2D, limiting spatial reasoning about depth and volume"],"requires":["Clear, well-lit room photograph with visible architectural features","Minimum image resolution of 800x600 for reliable feature detection","Server-side computer vision model (likely YOLO, Mask R-CNN, or similar)"],"input_types":["image (room photograph)"],"output_types":["structured data (detected features, spatial annotations, layout analysis)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_6","uri":"capability://image.visual.theme.parameter.application.and.style.embedding","name":"theme parameter application and style embedding","description":"Applies selected design theme parameters to the generative image model through style embeddings, LoRA fine-tuning, or conditional generation mechanisms. The system maintains a registry of theme definitions (color palettes, material preferences, furniture styles, lighting characteristics) and injects these as conditioning signals into the image generation pipeline to produce consistent aesthetic outputs.","intents":["I want the AI to apply a cohesive design aesthetic across all room elements, not just change colors","I need the generated design to reflect professional interior design principles for the selected theme","I want consistent style application across multiple room photos using the same theme"],"best_for":["users wanting professional-quality design consistency rather than ad-hoc style transfer","users exploring established design movements (minimalism, bohemian, industrial) with authentic aesthetic application","design professionals wanting to prototype theme variations before client presentation"],"limitations":["Theme definitions are fixed and opaque — users cannot inspect or modify the design parameters that constitute each theme","Inconsistent application across different room types — a theme optimized for living rooms may produce poor results in kitchens or bedrooms","Theme embeddings may encode biases or assumptions about room size, lighting, or existing decor that don't match user's space","No ability to blend themes or create custom hybrid aesthetics combining elements from multiple themes"],"requires":["Pre-trained generative model with style conditioning capability (likely Stable Diffusion with LoRA or similar)","Theme registry with pre-computed embeddings or fine-tuned weights","Server-side inference infrastructure for conditional generation"],"input_types":["theme selection (categorical)","room image (for context)"],"output_types":["image (theme-conditioned generation)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_7","uri":"capability://tool.use.integration.user.authentication.and.session.management","name":"user authentication and session management","description":"Manages user accounts, authentication state, and session persistence to track design history, enable result saving, and enforce usage limits or pricing tiers. Likely implements OAuth or email-based authentication with session tokens stored in browser cookies or local storage, enabling users to access previous transformations and manage account settings.","intents":["I want to save my design results and access them later from any device","I need to track my usage and understand my remaining free or paid credits","I want to manage my account settings and billing information"],"best_for":["users wanting persistent access to design history across sessions and devices","paid users needing to track usage and manage subscription","users wanting to organize and compare multiple design explorations"],"limitations":["No free trial tier — users must commit to paid subscription to test tool, creating friction for casual exploration","Session persistence limited to single device unless user logs in — no cross-device synchronization for anonymous users","Design history may be deleted after account closure or subscription expiration","No collaborative features — users cannot share design projects or invite others to review"],"requires":["User email address or OAuth provider account (Google, Apple, etc.)","Browser cookies enabled for session persistence","Server-side user database and authentication infrastructure"],"input_types":["user credentials (email/password or OAuth token)"],"output_types":["session token, user profile data"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_dreamyrooms__cap_8","uri":"capability://search.retrieval.design.theme.curation.and.discovery","name":"design theme curation and discovery","description":"Presents a curated set of interior design themes (modern, minimalist, bohemian, industrial, etc.) through a browsable interface with visual previews or descriptions. The system likely maintains a theme taxonomy with associated metadata, example images, and design philosophy descriptions to help users understand each aesthetic before selection.","intents":["I want to explore different design styles and understand what each aesthetic entails before applying it to my room","I need help discovering design themes that match my personal taste or home's architectural style","I want to learn about interior design movements and how they translate to my space"],"best_for":["non-designers lacking interior design vocabulary who benefit from named, visual theme categories","users wanting guided exploration rather than open-ended customization","users wanting to understand design trends and established aesthetics"],"limitations":["Fixed theme set limits exploration — users cannot create custom themes or request new aesthetic directions","Theme descriptions may be generic or not account for regional design preferences or cultural aesthetics","No personalization — theme recommendations don't adapt based on user preferences or past selections","Theme preview images may not represent how themes apply to different room types or architectural styles"],"requires":["Web browser with image rendering capability","Server-side theme registry and metadata"],"input_types":["user interaction (theme browsing, selection)"],"output_types":["theme metadata (name, description, preview images)"],"categories":["search-retrieval","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Web browser with modern JavaScript support","Image file in JPEG or PNG format (typical max 10-20MB based on webapp constraints)","Active internet connection for cloud-based image processing","Web browser with WebGL or Canvas support for image rendering","Minimum 2Mbps downstream bandwidth for acceptable preview latency","Server-side image processing infrastructure (likely cloud-hosted)","Web browser with sufficient viewport size for multi-panel comparison (minimum 1024px width recommended)","Server-side theme registry and generation pipeline","Web browser with File API support (all modern browsers)","Image file in JPEG or PNG format"],"failure_modes":["Pre-set themes limit customization — users cannot adjust specific colors, materials, or individual design elements beyond theme selection","AI-generated furniture placement sometimes produces unrealistic proportions or spatial arrangements that don't account for actual room dimensions or structural constraints","No parametric control over design variables (e.g., color palette, material types, lighting intensity) — only discrete theme selection available","Output quality varies depending on input image clarity, lighting conditions, and room complexity","Real-time rendering requires sufficient server capacity — may experience slowdowns during peak usage periods","Preview quality may be reduced resolution to maintain responsiveness, requiring full-resolution download separately","Network latency on slower connections (3G/4G) can degrade perceived real-time experience despite optimizations","Fixed theme set limits exploration — users cannot create custom hybrid themes or blend multiple aesthetics","Theme definitions are opaque to users — no visibility into what design parameters constitute each theme","Comparison UI may become cluttered with more than 4-6 simultaneous theme previews, limiting practical comparison scope","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3333333333333333,"quality":0.6900000000000001,"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":"2026-05-24T12:16:30.283Z","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=dreamyrooms","compare_url":"https://unfragile.ai/compare?artifact=dreamyrooms"}},"signature":"d+0q4xpTE5FnhNiitK2jemF2/aARdFb0DUymrjc2oFFSLI2GHvp4/1k2aIErDKqXJItAGKJDHmQDIyAWCm4WDw==","signedAt":"2026-06-22T01:40:05.014Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/dreamyrooms","artifact":"https://unfragile.ai/dreamyrooms","verify":"https://unfragile.ai/api/v1/verify?slug=dreamyrooms","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"}}