{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-stability-ai--stablestudio","slug":"stability-ai--stablestudio","name":"StableStudio","type":"repo","url":"https://github.com/Stability-AI/StableStudio","page_url":"https://unfragile.ai/stability-ai--stablestudio","categories":["image-generation"],"tags":["frontend","ml","stability-ai","stable-diffusion"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-stability-ai--stablestudio__cap_0","uri":"capability://tool.use.integration.plugin.based.backend.abstraction.for.image.generation","name":"plugin-based backend abstraction for image generation","description":"StableStudio implements a standardized plugin interface (defined in Plugin.ts) that decouples the React-based UI from heterogeneous backend services, allowing seamless switching between Stability AI cloud APIs, local stable-diffusion-webui instances, or custom backends without UI changes. Each plugin implements methods for image creation, model/sampler retrieval, and authentication, enabling a provider-agnostic generation pipeline that routes requests through a unified interface layer.","intents":["I want to support multiple image generation backends without rewriting the UI","I need to switch between local and cloud-based generation without changing the application","I want to add a custom image generation service without modifying core application code","I need to abstract away backend-specific authentication and configuration details"],"best_for":["teams building multi-backend AI applications","developers extending StableStudio with custom generation services","organizations needing on-premise + cloud generation flexibility"],"limitations":["Plugin interface is TypeScript-only; non-JS backends require HTTP wrapper layer","No built-in plugin discovery or dynamic loading from package registries","Plugin state management is application-level; no standardized persistence across plugins","Synchronous plugin interface may bottleneck with high-latency backends"],"requires":["TypeScript 4.5+","Node.js 16+","Implementation of Plugin interface from stablestudio-plugin package"],"input_types":["plugin configuration object","generation request with prompt/image/parameters"],"output_types":["image buffer/blob","model metadata array","sampler configuration array"],"categories":["tool-use-integration","plugin-architecture"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_1","uri":"capability://image.visual.text.to.image.generation.with.prompt.based.control","name":"text-to-image generation with prompt-based control","description":"Implements a text-to-image pipeline that accepts natural language prompts and routes them through the selected plugin backend (Stability AI API or local stable-diffusion-webui) with configurable generation parameters including model selection, sampler type, guidance scale, and seed. The Generation Module marshals the prompt into a backend-specific request format, handles async image streaming/polling, and returns rendered image buffers to the canvas component.","intents":["I want to generate images from text descriptions with fine-grained control over generation parameters","I need to experiment with different models and samplers without leaving the UI","I want to reproduce results by controlling seed and guidance parameters","I need to generate multiple variations of the same prompt efficiently"],"best_for":["creative professionals iterating on image concepts","researchers experimenting with model behavior and sampler effects","developers building image generation workflows"],"limitations":["No built-in prompt optimization or semantic understanding; raw prompts sent to backend","Generation latency depends entirely on backend service; UI has no timeout/cancellation mechanism","No prompt history or version control; each generation is stateless","Batch generation requires sequential API calls; no parallel request queuing"],"requires":["Active plugin with text-to-image capability","Valid API credentials for selected backend","Model and sampler supported by active backend"],"input_types":["text prompt (string)","model identifier (string)","sampler name (string)","numeric parameters (guidance_scale, steps, seed)"],"output_types":["image buffer (PNG/JPEG)","generation metadata (model, sampler, parameters used)"],"categories":["image-visual","generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_10","uri":"capability://image.visual.theme.management.and.visual.customization.system","name":"theme management and visual customization system","description":"Provides a theming system that allows users to customize the application's visual appearance (colors, fonts, layout) through a centralized theme configuration, enabling light/dark mode support and custom branding. The Theme Module abstracts visual styling from component logic, enabling consistent theming across all UI components without duplicating style definitions.","intents":["I want to switch between light and dark mode based on user preference","I need to customize the application's colors and fonts for branding","I want to provide a consistent visual experience across all UI components","I need to support user-defined themes without modifying component code"],"best_for":["teams customizing StableStudio for branded deployments","developers adding light/dark mode support","organizations with strict visual identity requirements"],"limitations":["Theme changes require application restart; no hot-reload of theme updates","No theme preview or live editing; users must restart to see changes","Theme configuration is global; no per-user theme preferences stored","Limited to CSS-based theming; no support for component-level visual customization"],"requires":["Theme configuration object (JSON or JavaScript)","CSS support in the browser"],"input_types":["theme configuration object with color, font, layout properties"],"output_types":["CSS variables or styled-components theme object","applied visual styling across all components"],"categories":["image-visual","customization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_11","uri":"capability://data.processing.analysis.generation.request.marshaling.with.backend.specific.format.translation","name":"generation request marshaling with backend-specific format translation","description":"Implements a request translation layer that converts UI parameters (prompt, model, sampler, guidance scale) into backend-specific API request formats, handling differences in parameter naming, value ranges, and request structure across Stability AI and stable-diffusion-webui APIs. This abstraction enables the UI to use consistent parameter names while supporting heterogeneous backends with different API contracts.","intents":["I want to use the same UI parameters across different backends","I need to translate UI parameters into backend-specific API formats","I want to handle differences in parameter naming and value ranges across backends","I need to validate parameters before sending to the backend"],"best_for":["developers building multi-backend image generation applications","teams supporting multiple generation services with different APIs","researchers comparing behavior across different backends"],"limitations":["Parameter translation is backend-specific; adding new backends requires new translation logic","No automatic parameter validation; invalid parameters are caught by backend API","Parameter semantics may differ across backends (e.g., guidance scale interpretation)","No parameter normalization; value ranges vary by backend"],"requires":["UI parameter object with standard field names","Backend-specific translation function for each supported backend"],"input_types":["UI parameter object (prompt, model, sampler, guidance_scale, steps, seed)"],"output_types":["backend-specific API request object","parameter validation errors (if applicable)"],"categories":["data-processing-analysis","transformation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_2","uri":"capability://image.visual.image.to.image.editing.with.inpainting.and.masking","name":"image-to-image editing with inpainting and masking","description":"Provides an image editing pipeline that accepts an existing image and optional mask, applies AI-guided modifications through the selected backend's image-to-image capability, and renders the edited result back to the canvas. The Editor Module integrates with the canvas rendering system to support mask drawing, strength/guidance parameter adjustment, and real-time preview of inpainting results, enabling non-destructive iterative editing workflows.","intents":["I want to modify specific regions of an image using AI without affecting the rest","I need to extend or regenerate parts of an image with consistent style","I want to experiment with different inpainting strengths to control edit intensity","I need to iterate on image edits without regenerating from scratch"],"best_for":["digital artists refining generated images","content creators doing localized image modifications","designers prototyping variations of existing artwork"],"limitations":["Mask drawing is canvas-based; no automatic object detection or semantic segmentation","Inpainting quality depends entirely on backend model; no local enhancement algorithms","No undo/redo for edit history; each inpainting operation overwrites previous state","Strength parameter behavior varies by backend; no normalization across providers"],"requires":["Active plugin with image-to-image capability","Source image in supported format (PNG, JPEG)","Canvas rendering system with mask layer support"],"input_types":["source image (buffer/blob)","mask image (grayscale, same dimensions as source)","text prompt (string)","strength parameter (0.0-1.0)","model and sampler identifiers"],"output_types":["edited image buffer (PNG/JPEG)","generation metadata (strength, prompt, model used)"],"categories":["image-visual","editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_3","uri":"capability://data.processing.analysis.dynamic.model.and.sampler.enumeration.with.backend.discovery","name":"dynamic model and sampler enumeration with backend discovery","description":"Implements a capability discovery system where each plugin exposes available models and samplers through standardized methods (getModels(), getSamplers()), which the UI queries at initialization and caches for dropdown/selection components. This enables the UI to dynamically adapt to backend capabilities without hardcoding model lists, supporting backends with different model inventories and sampler implementations while maintaining a consistent selection interface.","intents":["I want the UI to automatically show available models for the selected backend","I need to switch backends and have the model list update without restarting","I want to know which samplers are compatible with the current model","I need to support new models added to a backend without updating the application"],"best_for":["multi-backend applications with heterogeneous model inventories","teams deploying StableStudio against evolving backend services","developers building extensible image generation platforms"],"limitations":["Model/sampler discovery is synchronous; no streaming or pagination for large inventories","No caching invalidation strategy; stale model lists persist until manual refresh","Model metadata (resolution, training data, license) not standardized across plugins","No filtering or search; UI must display full model list regardless of size"],"requires":["Plugin implementation of getModels() and getSamplers() methods","Backend service that exposes model/sampler metadata via API or configuration"],"input_types":["plugin instance","optional filter parameters (model type, sampler family)"],"output_types":["model array with id, name, description fields","sampler array with id, name, description fields"],"categories":["data-processing-analysis","discovery"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_4","uri":"capability://image.visual.advanced.generation.parameter.configuration.with.sampler.specific.settings","name":"advanced generation parameter configuration with sampler-specific settings","description":"Provides a configuration system for fine-grained generation control including guidance scale (classifier-free guidance strength), step count, seed, and sampler-specific parameters (e.g., scheduler type, noise schedule). The Advanced Settings component dynamically exposes sampler-specific controls based on the selected sampler type, marshaling these parameters into backend-specific request formats while maintaining a consistent parameter naming convention across providers.","intents":["I want to control guidance scale to balance prompt adherence vs image quality","I need to set a seed to reproduce specific generation results","I want to experiment with different step counts to trade quality for speed","I need access to sampler-specific parameters like scheduler type or noise schedule"],"best_for":["researchers studying model behavior and sampler effects","power users optimizing generation quality/speed tradeoffs","developers building reproducible image generation pipelines"],"limitations":["Parameter ranges and defaults vary by backend; no normalization or validation","Sampler-specific parameters are backend-dependent; UI must hardcode sampler-to-parameter mappings","No parameter presets or saved configurations; each generation requires manual parameter entry","Parameter effects are non-linear and backend-specific; UI provides no guidance on optimal values"],"requires":["Active plugin with parameter configuration support","Sampler selected from available sampler list","Knowledge of valid parameter ranges for selected backend"],"input_types":["guidance_scale (float, typically 7.5-20.0)","num_inference_steps (integer, typically 20-100)","seed (integer or null for random)","sampler-specific parameters (object, varies by sampler)"],"output_types":["normalized parameter object for backend request","parameter validation errors (if out of range)"],"categories":["image-visual","configuration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_5","uri":"capability://image.visual.canvas.based.image.rendering.and.composition.with.layer.management","name":"canvas-based image rendering and composition with layer management","description":"Implements a canvas rendering system (likely using HTML5 Canvas or WebGL) that displays generated/edited images, manages layer composition for mask overlays and inpainting previews, handles zoom/pan interactions, and provides real-time feedback during generation. The Canvas component integrates with the Generation and Editor modules to display results, supports mask drawing for inpainting workflows, and manages the visual state of the application.","intents":["I want to view generated images at full resolution with zoom/pan controls","I need to draw masks on the canvas for inpainting without external tools","I want to see a preview of the mask before applying inpainting","I need to compose multiple generated images or layers in a single view"],"best_for":["digital artists and designers working with generated images","users performing iterative inpainting and editing workflows","developers building image composition tools"],"limitations":["Canvas rendering performance degrades with very large images (>4K resolution)","No built-in layer blending modes or advanced composition tools","Mask drawing is freehand only; no geometric shape tools or selection algorithms","No export to standard image formats beyond PNG/JPEG; no PSD or layered format support"],"requires":["Modern browser with HTML5 Canvas or WebGL support","Image data in buffer/blob format","Mouse/touch input for mask drawing and pan/zoom"],"input_types":["image buffer (PNG/JPEG)","mask buffer (grayscale)","mouse/touch events for drawing and interaction","zoom/pan parameters"],"output_types":["rendered canvas display","mask buffer from drawing operations","exported image file (PNG/JPEG)"],"categories":["image-visual","rendering"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_6","uri":"capability://tool.use.integration.stability.ai.cloud.api.plugin.with.oauth.authentication","name":"stability ai cloud api plugin with oauth authentication","description":"Provides a pre-built plugin that connects StableStudio to Stability AI's cloud image generation APIs, handling OAuth authentication flow, API credential management, and request/response marshaling. The plugin implements the standard Plugin interface, exposing Stability AI's available models and samplers, translating UI parameters into Stability AI API request formats, and handling rate limiting and error responses from the cloud service.","intents":["I want to use Stability AI's models without managing API credentials directly","I need to switch between local and cloud generation seamlessly","I want to leverage Stability AI's latest models without updating the application","I need to handle authentication securely without exposing API keys in the UI"],"best_for":["users without local GPU resources who want cloud-based generation","teams using Stability AI as their primary generation backend","developers building multi-backend applications with Stability AI support"],"limitations":["Requires valid Stability AI API key; no free tier or trial integration","API rate limits apply; no built-in queuing or backoff strategy","Cloud latency adds 2-10 seconds per generation; no local caching of results","Model availability depends on Stability AI's service; no fallback if service is down"],"requires":["Stability AI API key (from stability.ai account)","Network connectivity to Stability AI API endpoints","Valid Stability AI account with active subscription"],"input_types":["OAuth credentials or API key","generation request with prompt, model, sampler, parameters"],"output_types":["image buffer from Stability AI API","generation metadata (model, sampler, cost in credits)"],"categories":["tool-use-integration","plugin"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_7","uri":"capability://tool.use.integration.local.stable.diffusion.webui.plugin.with.http.bridge","name":"local stable-diffusion-webui plugin with http bridge","description":"Provides a pre-built plugin that connects StableStudio to a local stable-diffusion-webui instance via HTTP API, enabling on-premise image generation without cloud dependencies. The plugin translates UI parameters into stable-diffusion-webui API request formats, handles long-polling for generation completion, and exposes the local instance's available models and samplers dynamically, supporting custom LoRA models and fine-tuned checkpoints.","intents":["I want to generate images locally without sending data to the cloud","I need to use custom fine-tuned models or LoRA adapters","I want to avoid API costs and rate limits of cloud services","I need to integrate StableStudio with an existing stable-diffusion-webui deployment"],"best_for":["teams with on-premise GPU infrastructure","researchers using custom fine-tuned models","organizations with data privacy requirements preventing cloud generation","developers building self-hosted image generation platforms"],"limitations":["Requires local GPU with sufficient VRAM (8GB+ recommended); CPU generation is prohibitively slow","stable-diffusion-webui must be running and accessible; no automatic startup/shutdown","Network latency between StableStudio and webui instance adds overhead","Custom models must be manually added to webui; no automatic model discovery from HuggingFace"],"requires":["stable-diffusion-webui instance running locally or on accessible network","HTTP API enabled in webui (--api flag)","GPU with sufficient VRAM for model inference","Network connectivity between StableStudio and webui instance"],"input_types":["webui HTTP endpoint URL","generation request with prompt, model, sampler, parameters"],"output_types":["image buffer from webui API","generation metadata (model, sampler, inference time)"],"categories":["tool-use-integration","plugin"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_8","uri":"capability://automation.workflow.environment.based.plugin.configuration.and.credential.management","name":"environment-based plugin configuration and credential management","description":"Implements an environment configuration system that reads plugin settings (API keys, endpoints, model paths) from environment variables or configuration files, enabling secure credential management without hardcoding secrets in the application. The Environment Module abstracts backend-specific configuration details, allowing users to switch plugins by changing environment variables without modifying code or rebuilding the application.","intents":["I want to manage API credentials securely without exposing them in code","I need to switch between multiple backends by changing environment variables","I want to deploy StableStudio in different environments (dev, staging, prod) with different backends","I need to support multiple users with different API keys or local instances"],"best_for":["DevOps teams deploying StableStudio in containerized environments","organizations with strict credential management policies","developers managing multiple deployment environments"],"limitations":["Environment variables are process-wide; no per-user credential isolation","No built-in secret rotation or credential expiration handling","Configuration is static at startup; changes require application restart","No validation of environment variables at startup; misconfiguration detected only at runtime"],"requires":["Environment variables set before application startup","Configuration file (if using file-based configuration) in supported format (JSON, YAML, .env)"],"input_types":["environment variables (STABILITY_API_KEY, WEBUI_ENDPOINT, etc.)","configuration file path"],"output_types":["parsed configuration object","selected plugin instance with credentials loaded"],"categories":["automation-workflow","configuration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-stability-ai--stablestudio__cap_9","uri":"capability://image.visual.react.based.responsive.ui.with.component.composition","name":"react-based responsive ui with component composition","description":"Implements a React-based web interface that composes generation, editing, and configuration components into a cohesive application, managing application state through React hooks or context, and providing responsive layout that adapts to different screen sizes. The UI layer is decoupled from backend logic through the plugin system, enabling the same interface to work with different generation backends while maintaining consistent UX across providers.","intents":["I want a responsive web interface that works on desktop and tablet","I need to compose generation, editing, and configuration controls into a single application","I want to manage application state (current image, parameters, plugin selection) efficiently","I need to provide real-time feedback during generation (progress, errors)"],"best_for":["web developers building image generation interfaces","teams deploying StableStudio as a web application","developers extending StableStudio with custom UI components"],"limitations":["React state management can become complex with multiple generation/editing workflows","No built-in state persistence; application state is lost on page reload","Responsive design requires careful CSS media queries; no built-in responsive component library","Real-time progress updates require WebSocket or polling; HTTP-only backends have latency"],"requires":["React 16.8+ (for hooks support)","Node.js 16+ for development","Modern browser with ES6 support"],"input_types":["React component props","user interactions (click, input, drag)"],"output_types":["rendered HTML/CSS","application state updates"],"categories":["image-visual","frontend"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["TypeScript 4.5+","Node.js 16+","Implementation of Plugin interface from stablestudio-plugin package","Active plugin with text-to-image capability","Valid API credentials for selected backend","Model and sampler supported by active backend","Theme configuration object (JSON or JavaScript)","CSS support in the browser","UI parameter object with standard field names","Backend-specific translation function for each supported backend"],"failure_modes":["Plugin interface is TypeScript-only; non-JS backends require HTTP wrapper layer","No built-in plugin discovery or dynamic loading from package registries","Plugin state management is application-level; no standardized persistence across plugins","Synchronous plugin interface may bottleneck with high-latency backends","No built-in prompt optimization or semantic understanding; raw prompts sent to backend","Generation latency depends entirely on backend service; UI has no timeout/cancellation mechanism","No prompt history or version control; each generation is stateless","Batch generation requires sequential API calls; no parallel request queuing","Theme changes require application restart; no hot-reload of theme updates","No theme preview or live editing; users must restart to see changes","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.6513077229645488,"quality":0.34,"ecosystem":0.52,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T13:58:42.318Z","last_commit":"2024-04-30T20:05:06Z"},"community":{"stars":9041,"forks":929,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=stability-ai--stablestudio","compare_url":"https://unfragile.ai/compare?artifact=stability-ai--stablestudio"}},"signature":"NvZOoUlxOvI8oM5ZJso2ZKP3sKbAcHPXYTttlK21VeTcVCxcldqA7+6uy7q+zHp9F98wGxTSv/w8P6nX0NRZDg==","signedAt":"2026-06-22T06:51:55.849Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stability-ai--stablestudio","artifact":"https://unfragile.ai/stability-ai--stablestudio","verify":"https://unfragile.ai/api/v1/verify?slug=stability-ai--stablestudio","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"}}