{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"stability-api","slug":"stability-api","name":"Stability API","type":"api","url":"https://platform.stability.ai","page_url":"https://unfragile.ai/stability-api","categories":["image-generation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"stability-api__cap_0","uri":"capability://image.visual.text.to.image.generation.with.diffusion.model.control","name":"text-to-image generation with diffusion model control","description":"Converts text prompts into images using Stable Diffusion models with fine-grained control over generation parameters including sampling steps, guidance scale, seed, and model selection. The API accepts text descriptions and returns generated images in PNG or JPEG format, with support for negative prompts to exclude unwanted elements. Generation is performed server-side on GPU infrastructure with configurable inference parameters affecting quality, speed, and determinism.","intents":["Generate product mockups from text descriptions for rapid prototyping","Create concept art and visual assets from natural language prompts","Build automated image generation pipelines for content creation workflows","Experiment with different prompt variations and sampling parameters to refine outputs"],"best_for":["Product teams building generative AI features into applications","Content creators automating asset generation at scale","Developers prototyping image generation workflows before fine-tuning models"],"limitations":["Generation latency typically 5-30 seconds depending on step count and model size","Output quality varies significantly with prompt engineering; requires iteration","No guarantee of reproducibility across API versions or model updates","Rate limiting applies based on subscription tier; batch processing requires queuing"],"requires":["API key from Stability AI platform","HTTP client library (REST API)","Valid text prompt (1-1000 characters recommended)","Optional: image format preference (PNG/JPEG), seed for reproducibility"],"input_types":["text (prompt string)","text (negative prompt)","integer (seed)","float (guidance_scale: 0-35)","integer (steps: 10-150)"],"output_types":["image (PNG/JPEG)","base64-encoded image data","image metadata (seed used, model version)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_1","uri":"capability://image.visual.image.to.image.transformation.with.structural.preservation","name":"image-to-image transformation with structural preservation","description":"Transforms an existing image based on a text prompt while preserving structural elements and composition. The API accepts an input image and text prompt, applies diffusion-based editing with a configurable strength parameter (0-1) controlling how much the original image influences the output, and returns a modified image. This enables style transfer, content modification, and guided image evolution while maintaining spatial relationships.","intents":["Apply artistic styles to photographs while preserving composition and subject","Modify product images for different contexts or variations without reshooting","Iterate on design mockups by describing desired changes in natural language","Generate variations of existing images for A/B testing or exploration"],"best_for":["E-commerce platforms automating product image variations","Design teams iterating on visual concepts without manual editing","Content creators producing multiple style variants from single source images"],"limitations":["Strength parameter (0-1) controls fidelity to original; values >0.8 may ignore prompt entirely","Semantic understanding of prompt relative to image content is imperfect; may produce unexpected results","Input image resolution affects output quality and latency; recommended max 1024x1024","Cannot reliably preserve fine details like text or small objects in original image"],"requires":["API key from Stability AI platform","Input image file (PNG/JPEG, max 5MB recommended)","Text prompt describing desired transformation","HTTP multipart form-data support for image upload"],"input_types":["image (PNG/JPEG)","text (prompt string)","float (strength: 0.0-1.0, controls influence of original image)"],"output_types":["image (PNG/JPEG)","base64-encoded image data"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_10","uri":"capability://image.visual.error.handling.with.detailed.failure.diagnostics","name":"error handling with detailed failure diagnostics","description":"Returns structured error responses with specific error codes, messages, and diagnostic information for failed requests. The API distinguishes between client errors (invalid parameters, authentication failures), rate limiting, and server errors, providing actionable feedback for debugging. Error responses include error codes, human-readable messages, and sometimes suggestions for remediation (e.g., 'reduce steps' for timeout errors).","intents":["Debug failed image generation requests with specific error information","Implement retry logic based on error type (transient vs permanent)","Provide meaningful error messages to end users","Monitor and alert on API failures with structured error data"],"best_for":["Developers building production image generation features","Teams implementing robust error handling and retry logic","Operations teams monitoring API health and failures"],"limitations":["Error messages sometimes vague; 'generation failed' without specific reason","No standardized error codes across all endpoints; error formats vary","Limited guidance on remediation; developers must infer solutions from error messages","Some errors (e.g., timeout) may not be retryable; no explicit indication"],"requires":["API key from Stability AI platform","Error handling code to parse and respond to error responses","Understanding of HTTP status codes and error response format"],"input_types":["failed API request (any generation parameters)"],"output_types":["JSON error response with error code and message","HTTP status code (400, 401, 429, 500, etc.)","optional: diagnostic information or remediation suggestions"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_11","uri":"capability://image.visual.style.and.aesthetic.control.through.model.variants","name":"style and aesthetic control through model variants","description":"Provides specialized model variants trained on specific visual domains (photography, illustration, 3D rendering, anime, etc.) that can be selected to influence generation style without explicit style prompting. The API routes requests to domain-specific models based on selection, enabling consistent aesthetic output aligned with training data characteristics.","intents":["Generate photorealistic product images using photography-optimized models","Create illustrated or stylized content using illustration-specific models","Produce 3D-rendered or CGI-style images using specialized rendering models","Maintain consistent visual style across generated images by using same model variant"],"best_for":["E-commerce platforms requiring photorealistic product images","Content platforms offering multiple visual styles to users","Design teams maintaining consistent brand aesthetics","Applications targeting specific visual genres (anime, illustration, photography)"],"limitations":["Model variant availability may be limited; not all styles may be available","Specialized models may have different parameter ranges or capabilities than base models","Style is influenced but not guaranteed; prompts still significantly affect output","Switching between model variants may require prompt re-tuning for consistent results","Specialized models may have different pricing or rate limits"],"requires":["Stability API key","Knowledge of available model variants and their characteristics","Model variant identifier in API request"],"input_types":["text (model variant identifier: 'photography', 'illustration', '3d-render', etc.)","text (prompt optimized for selected style)"],"output_types":["image (in style of selected model variant)","JSON metadata (model variant used)"],"categories":["image-visual","api-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_12","uri":"capability://tool.use.integration.rest.api.with.standardized.request.response.format","name":"rest api with standardized request/response format","description":"Exposes generation capabilities through RESTful HTTP endpoints with standardized JSON request/response payloads, authentication via API keys, and consistent error handling. The implementation follows REST conventions with POST endpoints for generation requests, GET endpoints for status/results, and structured error responses with detailed error codes and messages.","intents":["Integrate image generation into web applications using standard HTTP clients","Build backend services that call Stability API from any programming language","Implement webhooks and callbacks for asynchronous result delivery","Monitor API usage and implement rate limiting in client applications"],"best_for":["Web application developers integrating image generation into existing stacks","Backend engineers building microservices that call Stability API","Teams using multiple programming languages requiring language-agnostic integration","Developers implementing custom orchestration or workflow automation"],"limitations":["HTTP request/response overhead adds latency compared to direct library calls","API rate limits apply; high-volume applications must implement request queuing and backoff","Authentication via API keys requires secure key management; keys must not be exposed in client-side code","Large image uploads/downloads may be bandwidth-intensive; consider caching or CDN for frequently accessed images","No built-in request signing or verification; applications must implement their own security measures"],"requires":["Stability API key (stored securely, not in client-side code)","HTTP client library (curl, requests, axios, fetch, etc.)","HTTPS support (all requests must use TLS)","Error handling for network failures and API errors"],"input_types":["JSON (request payload with generation parameters)","multipart/form-data (for image uploads in image-to-image, inpainting)"],"output_types":["JSON (response with image data, metadata, status)","image/png or image/jpeg (binary image data)","JSON (error responses with error codes and messages)"],"categories":["tool-use-integration","api-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_2","uri":"capability://image.visual.inpainting.with.mask.guided.content.generation","name":"inpainting with mask-guided content generation","description":"Generates new content within masked regions of an image while preserving unmasked areas. The API accepts an image, a binary mask (or alpha channel), and a text prompt, then applies diffusion-based inpainting to fill masked regions with content matching the prompt. The mask defines which pixels can be modified (white) vs preserved (black), enabling targeted content replacement, object removal, or insertion without affecting surrounding areas.","intents":["Remove unwanted objects from images by masking and regenerating background","Insert new objects into specific regions of images while maintaining context","Fix or modify specific parts of images without full regeneration","Automate content editing workflows for product photography or design"],"best_for":["Photo editing applications adding AI-powered object removal/insertion","E-commerce platforms automating product image cleanup and variation","Content creation tools enabling non-destructive editing workflows"],"limitations":["Mask quality directly impacts output; soft edges or anti-aliasing can cause artifacts","Inpainting quality degrades with large masked regions (>50% of image); small targeted edits work best","Generated content may not seamlessly blend with surrounding image if lighting/texture context is ambiguous","Requires separate mask image or alpha channel; no built-in mask generation from text"],"requires":["API key from Stability AI platform","Input image file (PNG/JPEG)","Mask image (PNG with alpha channel, or separate binary mask)","Text prompt describing desired content for masked region","HTTP multipart form-data support for multi-file upload"],"input_types":["image (PNG/JPEG, base image)","image (PNG with alpha channel or binary mask)","text (prompt string describing content to generate in masked region)"],"output_types":["image (PNG/JPEG with inpainted region)","base64-encoded image data"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_3","uri":"capability://image.visual.outpainting.with.context.aware.expansion","name":"outpainting with context-aware expansion","description":"Extends images beyond their original boundaries by generating new content that matches the style and context of the existing image. The API accepts an image and optional prompt, then expands the canvas in specified directions (up, down, left, right) with AI-generated content that maintains visual coherence. This enables expanding compositions, adding background context, or creating panoramic variations without manual editing.","intents":["Expand product images to show more context or background","Create panoramic or wide-format variations of existing images","Add compositional elements around existing subjects","Extend images for different aspect ratios or layout requirements"],"best_for":["Content creators expanding images for different platform requirements","E-commerce platforms generating multiple aspect ratio variants","Design teams extending compositions without reshooting or manual work"],"limitations":["Generated content quality depends on how much context the original image provides; ambiguous edges produce inconsistent results","Expansion distance is limited; extreme expansions (>2x original dimensions) may produce incoherent content","No control over which directions to expand; API may expand all sides or require separate calls per direction","Generated content may not match original image's lighting, perspective, or photographic style perfectly"],"requires":["API key from Stability AI platform","Input image file (PNG/JPEG)","Optional: text prompt for guidance","Expansion parameters (direction and distance)"],"input_types":["image (PNG/JPEG)","text (optional prompt for guidance)","integer (expansion distance in pixels or percentage)"],"output_types":["image (PNG/JPEG with expanded canvas)","base64-encoded image data"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_4","uri":"capability://image.visual.image.upscaling.with.detail.enhancement","name":"image upscaling with detail enhancement","description":"Increases image resolution while enhancing details and reducing artifacts using AI-based upscaling. The API accepts an image and target upscaling factor (2x, 4x, etc.), applies a specialized upscaling model that reconstructs high-frequency details, and returns a higher-resolution version. The upscaling process uses diffusion or super-resolution techniques to add plausible details rather than simple interpolation, improving perceived quality.","intents":["Upscale low-resolution product images for e-commerce listings","Enhance image quality for print or high-resolution displays","Improve quality of user-generated content or legacy images","Prepare images for different resolution requirements without reshooting"],"best_for":["E-commerce platforms improving product image quality at scale","Content creators preparing images for print or high-resolution displays","Teams managing legacy image libraries with resolution constraints"],"limitations":["Upscaling factors limited to 2x or 4x; larger factors may introduce hallucinated details","Input image quality significantly affects output; heavily compressed or low-quality sources produce mediocre results","Processing time increases with upscaling factor; 4x upscaling may take 10-30 seconds","Cannot recover information lost in original compression; artifacts in source image may be amplified"],"requires":["API key from Stability AI platform","Input image file (PNG/JPEG)","Upscaling factor parameter (2 or 4)"],"input_types":["image (PNG/JPEG)","integer (upscaling factor: 2 or 4)"],"output_types":["image (PNG/JPEG at higher resolution)","base64-encoded image data"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_5","uri":"capability://image.visual.video.generation.from.text.prompts","name":"video generation from text prompts","description":"Generates short video clips from text descriptions using diffusion-based video synthesis models. The API accepts a text prompt and optional parameters (duration, resolution, frame rate), then generates a coherent video sequence where frames are synthesized to match the prompt while maintaining temporal consistency. The model ensures smooth motion and coherent object tracking across frames rather than generating independent frames.","intents":["Generate short video clips for marketing or social media content","Create animated visualizations from text descriptions","Produce background videos or motion graphics for design projects","Prototype video content ideas before investing in production"],"best_for":["Content creators producing short-form video content at scale","Marketing teams generating promotional videos from text briefs","Designers creating motion graphics and animated backgrounds","Developers building video generation features into applications"],"limitations":["Video duration typically limited to 4-10 seconds; longer videos require multiple generations and stitching","Generation latency is high (30-120 seconds depending on duration); not suitable for real-time applications","Motion quality and coherence degrade with complex scenes or multiple moving objects","No frame-by-frame control; cannot specify exact motion or object trajectories","Output resolution typically limited to 720p or lower; 4K generation not available"],"requires":["API key from Stability AI platform","Text prompt describing desired video content","Optional: duration parameter (seconds), resolution, frame rate"],"input_types":["text (prompt string)","integer (duration in seconds)","integer (resolution: height in pixels)","integer (frame rate in fps)"],"output_types":["video file (MP4 or WebM)","base64-encoded video data","video metadata (duration, resolution, frame count)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_6","uri":"capability://image.visual.multi.model.selection.with.performance.quality.tradeoffs","name":"multi-model selection with performance-quality tradeoffs","description":"Provides access to multiple Stable Diffusion model variants (e.g., SDXL, SD 1.5, SD 3) with different performance characteristics and quality profiles. The API allows specifying which model to use per request, enabling developers to choose between faster inference (smaller models) and higher quality output (larger models). Each model has different parameter ranges, supported features, and latency profiles, requiring explicit selection based on use case requirements.","intents":["Select faster models for real-time or latency-sensitive applications","Use highest-quality models for final production assets","Optimize cost vs quality by choosing appropriate model for each request","Test different models to find best fit for specific use cases or domains"],"best_for":["Developers building cost-optimized image generation pipelines","Teams needing flexibility to balance quality, speed, and cost per request","Researchers comparing model performance across different architectures"],"limitations":["Different models have different parameter ranges; guidance_scale limits vary by model","Model availability may change; older models may be deprecated without notice","No automatic model selection; developers must manually choose based on requirements","Switching models mid-pipeline requires code changes; no dynamic routing based on input"],"requires":["API key from Stability AI platform","Knowledge of available model names and their characteristics","Model parameter (e.g., 'stable-diffusion-xl-1024-v1-0')"],"input_types":["string (model identifier)","text (prompt)","other generation parameters (steps, guidance_scale, etc.)"],"output_types":["image (PNG/JPEG)","model metadata (version, parameter ranges)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_7","uri":"capability://image.visual.batch.processing.with.asynchronous.job.submission","name":"batch processing with asynchronous job submission","description":"Supports asynchronous batch image generation through job submission and polling APIs. Developers submit generation requests with a callback URL or polling endpoint, receive a job ID, and retrieve results when processing completes. This enables high-throughput image generation without blocking on individual request latency, suitable for processing large image queues or integrating with background job systems.","intents":["Process large batches of image generation requests without blocking","Integrate image generation into background job queues or task systems","Generate thousands of product images or variations efficiently","Decouple image generation from user-facing request/response cycles"],"best_for":["E-commerce platforms generating product images at scale","Content creation systems processing large image queues","Teams integrating image generation into background job infrastructure"],"limitations":["Asynchronous processing adds latency; results not immediately available","Requires callback URL or polling mechanism; adds complexity vs synchronous API","Job retention period limited; results may expire after 24-48 hours","No built-in job prioritization; all jobs processed in FIFO order","Batch size limits apply; very large batches may be split across multiple submissions"],"requires":["API key from Stability AI platform","Callback URL (for webhook-based results) or polling mechanism","Job tracking system to correlate submissions with results","HTTP client supporting long-running requests or polling"],"input_types":["array of generation requests (text prompts, parameters)","string (callback URL for webhook delivery)","integer (batch size)"],"output_types":["string (job ID for tracking)","array of images (PNG/JPEG) when job completes","job status metadata (queued, processing, completed, failed)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_8","uri":"capability://image.visual.fine.grained.parameter.control.with.model.specific.ranges","name":"fine-grained parameter control with model-specific ranges","description":"Exposes detailed generation parameters with model-specific valid ranges and defaults, including guidance scale (controlling prompt adherence), sampling steps (affecting quality vs speed), seed (for reproducibility), and sampler selection (different diffusion sampling algorithms). The API validates parameters against model-specific constraints and returns errors for out-of-range values, requiring developers to understand parameter semantics and model capabilities.","intents":["Fine-tune generation quality vs speed tradeoffs for specific use cases","Reproduce specific images by using same seed and parameters","Experiment with different sampling algorithms to optimize quality","Optimize cost by reducing steps for draft/preview generations"],"best_for":["Developers optimizing image generation for specific quality/latency requirements","Researchers experimenting with diffusion sampling parameters","Teams building custom image generation pipelines with fine-grained control"],"limitations":["Parameter ranges vary by model; developers must know valid ranges per model","Parameter semantics are non-intuitive; guidance_scale >20 often produces artifacts","No automatic parameter validation or suggestions; invalid parameters return errors","Optimal parameters vary by prompt; no guidance on parameter selection for specific use cases","Seed reproducibility only guaranteed within same model version; model updates may break reproducibility"],"requires":["API key from Stability AI platform","Understanding of diffusion sampling parameters and their effects","Model documentation specifying valid parameter ranges"],"input_types":["float (guidance_scale: model-dependent range, typically 0-35)","integer (steps: model-dependent range, typically 10-150)","integer (seed: 0-2^32-1 for reproducibility)","string (sampler: 'ddim', 'pndm', 'euler', etc.)"],"output_types":["image (PNG/JPEG)","metadata (seed used, actual parameters applied)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__cap_9","uri":"capability://image.visual.rest.api.with.standard.http.integration","name":"rest api with standard http integration","description":"Provides image generation capabilities through standard REST API endpoints accepting JSON payloads and returning image data or JSON responses. The API uses HTTP POST for generation requests, supports standard HTTP status codes and error responses, and integrates with any HTTP client library or framework. Authentication uses API keys passed in request headers, following standard REST conventions for stateless request/response cycles.","intents":["Integrate image generation into existing web applications or services","Build image generation features without custom SDKs or libraries","Call image generation from any programming language with HTTP support","Integrate with standard API management, monitoring, and logging tools"],"best_for":["Web developers integrating image generation into applications","Teams using standard HTTP tooling and infrastructure","Developers building language-agnostic integrations"],"limitations":["HTTP request/response cycle adds latency vs direct library calls","Image data must be base64-encoded in JSON responses, increasing payload size","No built-in streaming; large images require full download before processing","Rate limiting enforced at HTTP level; no client-side rate limiting","No persistent connections; each request requires new HTTP connection overhead"],"requires":["API key from Stability AI platform","HTTP client library (curl, requests, fetch, etc.)","Network connectivity to Stability AI endpoints","JSON parsing capability"],"input_types":["JSON payload with generation parameters","text (prompt)","image (base64-encoded for image-to-image operations)"],"output_types":["JSON response with base64-encoded image data","HTTP status codes (200, 400, 401, 429, 500, etc.)","error messages in JSON format"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"stability-api__headline","uri":"capability://image.visual.ai.powered.image.generation.api","name":"ai-powered image generation api","description":"An API that enables developers to generate images from text prompts, modify existing images, and perform advanced image processing tasks like inpainting and upscaling, all with fine control over parameters.","intents":["best image generation API","image generation API for creative projects","top API for text-to-image generation","image processing API for developers","API for generating art from text"],"best_for":["developers looking for image generation solutions"],"limitations":[],"requires":[],"input_types":["text prompts","images"],"output_types":["generated images","modified images"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["API key from Stability AI platform","HTTP client library (REST API)","Valid text prompt (1-1000 characters recommended)","Optional: image format preference (PNG/JPEG), seed for reproducibility","Input image file (PNG/JPEG, max 5MB recommended)","Text prompt describing desired transformation","HTTP multipart form-data support for image upload","Error handling code to parse and respond to error responses","Understanding of HTTP status codes and error response format","Stability API key"],"failure_modes":["Generation latency typically 5-30 seconds depending on step count and model size","Output quality varies significantly with prompt engineering; requires iteration","No guarantee of reproducibility across API versions or model updates","Rate limiting applies based on subscription tier; batch processing requires queuing","Strength parameter (0-1) controls fidelity to original; values >0.8 may ignore prompt entirely","Semantic understanding of prompt relative to image content is imperfect; may produce unexpected results","Input image resolution affects output quality and latency; recommended max 1024x1024","Cannot reliably preserve fine details like text or small objects in original image","Error messages sometimes vague; 'generation failed' without specific reason","No standardized error codes across all endpoints; error formats vary","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":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:28.695Z","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=stability-api","compare_url":"https://unfragile.ai/compare?artifact=stability-api"}},"signature":"ujSl1kCQzMXLQF4l+pT8R/6S78gbbfqXa5f4XlI2BKojU2KSfFS56kgjXkiIQu3JYyKSKvjQA3X73pMPm0x5AA==","signedAt":"2026-06-22T05:06:33.548Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stability-api","artifact":"https://unfragile.ai/stability-api","verify":"https://unfragile.ai/api/v1/verify?slug=stability-api","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"}}