{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_stablecog","slug":"stablecog","name":"Stablecog","type":"webapp","url":"https://stablecog.com","page_url":"https://unfragile.ai/stablecog","categories":["image-generation","testing-quality"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_stablecog__cap_0","uri":"capability://image.visual.text.to.image.generation.with.stable.diffusion.inference","name":"text-to-image generation with stable diffusion inference","description":"Converts natural language text prompts into images by executing Stable Diffusion model inference on backend servers, supporting multiple model versions (including SDXL) with configurable generation parameters. The system processes prompts through a queue-based architecture that respects per-plan parallelization limits (0-4 concurrent generations), returning generated images in PNG/JPEG format within seconds to minutes depending on subscription tier and server load.","intents":["Generate visual content from text descriptions without owning GPU infrastructure","Experiment with Stable Diffusion models without local setup or CUDA knowledge","Create multiple style variations of the same prompt quickly","Integrate AI image generation into applications via API without managing model serving"],"best_for":["Developers prototyping image generation features without infrastructure investment","Budget-conscious creators experimenting with Stable Diffusion before committing to paid tools","Open-source enthusiasts wanting transparent model access without proprietary black boxes"],"limitations":["Free tier limited to 20 images/day with slow generation speeds and public image visibility","Paid tiers have monthly credit caps (2,000-12,000 images) that do not roll over, forcing monthly budget planning","Generation quality inconsistent across model versions and prompts; requires iterative refinement unlike Midjourney's more polished outputs","No built-in prompt optimization or style guidance system—users must engineer prompts manually","Maximum 4 images per batch regardless of plan; no bulk generation for large campaigns"],"requires":["Active Stablecog account (free or paid)","API key for programmatic access (authentication mechanism unspecified in docs)","Sufficient monthly credits for intended generation volume","Internet connectivity to reach Stablecog servers"],"input_types":["text (natural language prompt, 1-500 characters typical)","optional: generation parameters (guidance scale, steps, sampler type—specifics unknown)"],"output_types":["image (PNG or JPEG format, dimensions unspecified)","metadata (generation parameters, model version used, timestamp)"],"categories":["image-visual","api-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_1","uri":"capability://image.visual.image.to.image.transformation.with.style.transfer","name":"image-to-image transformation with style transfer","description":"Accepts an uploaded image as input and generates new variations or style-transformed versions by conditioning Stable Diffusion's latent diffusion process on the input image features. The system preserves structural elements from the source while applying new artistic styles or modifications based on accompanying text prompts, enabling creative remixing without full regeneration from scratch.","intents":["Transform existing artwork into different artistic styles without manual editing","Generate variations of a design concept while maintaining compositional structure","Upscale or enhance image quality through diffusion-based refinement","Create derivative works from reference images programmatically"],"best_for":["Designers iterating on visual concepts with AI-assisted style exploration","Content creators producing multiple variations of assets for A/B testing","Developers building image transformation pipelines that need style control"],"limitations":["Inpainting capabilities (selective region editing) are limited compared to paid competitors like Midjourney or Leonardo","Quality of style transfer depends heavily on prompt clarity and input image characteristics; no automatic style detection","Transformation results may diverge significantly from input image if prompt is too different, reducing predictability","No masking or selective editing UI—full image transformation only, no region-specific modifications"],"requires":["Active Stablecog account with sufficient monthly credits","Input image file (format: PNG or JPEG, dimensions unspecified)","Text prompt describing desired transformation or style","API key for programmatic access"],"input_types":["image (PNG or JPEG, source dimensions unknown)","text (style description or transformation prompt)"],"output_types":["image (PNG or JPEG, output dimensions unspecified)","metadata (transformation parameters, model version)"],"categories":["image-visual","api-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_10","uri":"capability://automation.workflow.account.based.quota.tracking.and.enforcement","name":"account-based quota tracking and enforcement","description":"Tracks monthly image generation quota per user account, enforcing hard limits that prevent generation requests exceeding the plan's monthly allocation. The system maintains quota state across sessions and devices, deducting credits per image generated and rejecting requests when quota is exhausted. Users can view remaining quota through the web UI or API and purchase additional credits if needed.","intents":["Prevent accidental overspending by enforcing hard quota limits","Track generation usage across multiple devices and sessions","Plan monthly budgets based on fixed quota allocations","Monetize overages by requiring credit purchases for quota expansion"],"best_for":["Budget-conscious users wanting predictable monthly costs","Teams managing shared accounts with fixed generation budgets","Developers building usage monitoring into applications"],"limitations":["Monthly credits expire and do not roll over; unused quota is lost at month end","No quota forecasting or usage analytics; users must manually track consumption","Hard quota limits prevent burst generation for time-sensitive campaigns","No quota sharing or team-level allocation; all quota is account-level","Additional credit purchases require active subscription; free-tier users cannot buy extra credits"],"requires":["Stablecog account registration","Active plan subscription (free or paid)","Monthly budget allocation for intended generation volume"],"input_types":["plan tier (determines monthly quota)","optional: additional credit purchase amount"],"output_types":["quota allocation (monthly image limit)","quota consumption tracking (images used, remaining)","quota enforcement (request rejection if exceeded)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_2","uri":"capability://image.visual.multi.model.selection.with.version.switching","name":"multi-model selection with version switching","description":"Provides access to multiple Stable Diffusion model checkpoints (including base models and SDXL variants) that users can select per-generation request, enabling comparison of model outputs and selection of the best-fit model for specific use cases. The system abstracts model loading and inference orchestration, allowing users to switch between models without managing local weights or CUDA environments.","intents":["Compare output quality across different Stable Diffusion versions for the same prompt","Select optimal model for specific aesthetic goals (e.g., SDXL for photorealism, base for stylization)","Test model compatibility with custom fine-tuned checkpoints if supported","Avoid vendor lock-in by maintaining flexibility across open-source model ecosystem"],"best_for":["Researchers evaluating Stable Diffusion model variants for production deployment","Developers building model-agnostic image generation APIs that expose model choice","Open-source enthusiasts wanting transparent access to unmodified model weights"],"limitations":["Available models not fully documented in provided materials; specific versions and capabilities unknown","No custom model upload or fine-tuning support mentioned; limited to pre-loaded Stablecog models","Model selection does not expose underlying parameters (guidance scale, steps, sampler) in provided documentation","No model performance benchmarks or quality comparisons provided to guide selection"],"requires":["Active Stablecog account","Knowledge of Stable Diffusion model differences to make informed selection","API key with model selection parameter support"],"input_types":["model identifier (e.g., 'sdxl', 'sd-1.5', specific checkpoint name)","text prompt","optional: generation parameters"],"output_types":["image (PNG or JPEG)","metadata (model version used, generation parameters)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_3","uri":"capability://automation.workflow.quota.based.credit.system.with.plan.tiered.parallelization","name":"quota-based credit system with plan-tiered parallelization","description":"Implements a monthly credit allocation system where users purchase plans (Free, Starter, Pro, Ultimate) that grant fixed monthly image generation quotas (20-12,000 images/month) and parallel generation limits (0-4 concurrent requests). The system enforces per-plan rate limiting and quota tracking, preventing overages and requiring plan upgrades or additional credit purchases for increased capacity. Credits do not roll over monthly, enforcing monthly budget cycles.","intents":["Budget image generation costs predictably with fixed monthly allocations","Scale generation throughput by purchasing higher-tier plans with more parallelization","Avoid subscription lock-in by using pay-as-you-go credits without long-term commitments","Monetize image generation services by reselling Stablecog credits to end users"],"best_for":["Budget-conscious creators wanting transparent, non-subscription pricing","Developers building SaaS products that resell image generation as a feature","Teams with variable generation needs that don't justify fixed monthly subscriptions"],"limitations":["Monthly credits expire and do not roll over, forcing users to consume or lose allocation each month","Free tier (20 images/day) is severely limited for serious production use; requires paid plan for meaningful throughput","Parallel generation limits (max 4) constrain batch processing; no burst capacity for time-sensitive campaigns","No usage analytics or forecasting tools provided to help users estimate monthly needs","Commercial use restricted to paid plans; free tier images are public and cannot be used commercially"],"requires":["Stablecog account registration","Payment method for paid plan purchases (credit card, payment processor unspecified)","Monthly budget allocation for intended generation volume"],"input_types":["plan selection (Free, Starter, Pro, Ultimate)","optional: additional credit purchase amount"],"output_types":["quota allocation (monthly image limit, parallel slots)","billing invoice (if paid plan)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_4","uri":"capability://safety.moderation.privacy.tiered.image.storage.with.public.private.visibility","name":"privacy-tiered image storage with public/private visibility","description":"Implements differential privacy policies where free-tier generated images are stored publicly and visible to other users, while paid-tier images are stored privately and accessible only to the generating user. The system enforces this visibility policy at storage and retrieval layers, enabling commercial use only on paid plans where privacy is guaranteed.","intents":["Generate images for commercial products without public exposure of work-in-progress","Maintain confidentiality of proprietary designs or brand assets","Experiment freely on free tier knowing images are public and non-commercial","Comply with data privacy requirements for client work"],"best_for":["Commercial creators and agencies requiring confidential image generation","Enterprises handling sensitive brand or product imagery","Open-source enthusiasts comfortable with public image sharing for free experimentation"],"limitations":["Free tier images are permanently public; no option to make free-tier images private","No image deletion or archival mechanism mentioned; unclear if private images are retained indefinitely","Public image visibility may create IP concerns if free tier is used for derivative works","No granular sharing controls (e.g., link-based sharing, team access); binary public/private only"],"requires":["Stablecog account (free or paid)","Paid plan subscription for private image storage (Starter, Pro, or Ultimate)"],"input_types":["plan tier (Free vs. Paid)"],"output_types":["privacy policy enforcement (public or private image visibility)","commercial use rights (restricted on free, allowed on paid)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_5","uri":"capability://tool.use.integration.rest.api.with.quota.aware.rate.limiting","name":"rest api with quota-aware rate limiting","description":"Exposes image generation capabilities through HTTP REST endpoints that accept text prompts, image uploads, and model selection parameters, returning generated images with metadata. The API enforces per-plan rate limiting and quota tracking, rejecting requests that exceed monthly allocations or concurrent parallelization limits. Authentication uses API keys tied to user accounts, enabling programmatic access without web UI.","intents":["Integrate image generation into backend services and applications via HTTP","Automate batch image generation workflows without manual web UI interaction","Build custom frontends or mobile apps on top of Stablecog's generation infrastructure","Monitor generation usage and quota consumption programmatically"],"best_for":["Backend developers building image generation features into SaaS products","DevOps engineers automating content generation pipelines","Mobile app developers needing server-side image generation"],"limitations":["API reference documentation provided only as index; actual endpoint specs, schemas, and error codes unknown","Authentication mechanism unspecified; API key format, rotation, and revocation policies unknown","Rate limiting details unknown; unclear if limits are per-second, per-minute, or per-month","No SDK or client library documentation provided; developers must implement HTTP clients manually","Webhook or callback support for async generation unknown; unclear if API is synchronous-only or supports polling"],"requires":["Stablecog API key (generation and management process unknown)","HTTP client library (curl, requests, axios, etc.)","Active Stablecog account with sufficient monthly credits","Knowledge of REST API conventions and JSON payload formatting"],"input_types":["JSON payload with text prompt, optional image upload, model selection, generation parameters"],"output_types":["JSON response with image URL or base64-encoded image data, metadata (model version, generation time, parameters)"],"categories":["tool-use-integration","api-service"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_6","uri":"capability://image.visual.batch.image.generation.with.configurable.parallelization","name":"batch image generation with configurable parallelization","description":"Supports generating multiple images in a single request (up to 4 images per batch) with concurrent execution limited by plan tier (0-4 parallel generations). The system queues requests and distributes them across available GPU resources, respecting per-plan parallelization caps to ensure fair resource allocation. Batch results are returned as a collection with individual image metadata.","intents":["Generate multiple style variations of a single prompt in one API call","Create diverse image options for A/B testing without sequential requests","Maximize throughput by utilizing available parallelization slots","Reduce API call overhead by batching requests"],"best_for":["Content creators needing multiple variations quickly for decision-making","Developers building image selection workflows with multiple options","Teams optimizing API call efficiency for cost-sensitive applications"],"limitations":["Maximum 4 images per batch regardless of plan; no bulk generation for campaigns requiring 10+ variations","Parallelization limits (0-4 concurrent) mean free tier cannot parallelize at all; Starter tier limited to 2 concurrent","No batch scheduling or priority queuing; all batches treated equally in queue","Batch results return time depends on slowest image in batch; no streaming or progressive delivery of results"],"requires":["Active Stablecog account with sufficient monthly credits for batch size","API key with batch generation support","Plan tier with parallelization > 0 (free tier has 0 parallel slots)"],"input_types":["batch request with count (1-4), text prompt, optional image, model selection"],"output_types":["array of images with individual metadata (generation time, parameters, model version per image)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_7","uri":"capability://image.visual.web.based.ui.with.prompt.engineering.interface","name":"web-based ui with prompt engineering interface","description":"Provides a browser-based interface at https://stablecog.com with text input fields for prompts, image upload for img2img, model selection dropdowns, and generation parameter controls. The UI queues requests and displays generated images in a gallery view with metadata. The interface is designed for interactive experimentation rather than production automation, with visual feedback on generation progress and quota consumption.","intents":["Experiment with image generation interactively without API integration","Visualize generation results in real-time with immediate feedback","Explore different prompts and models through trial-and-error","Monitor quota consumption and plan usage through dashboard"],"best_for":["Non-technical creators wanting to experiment with Stable Diffusion without coding","Designers iterating on visual concepts through interactive exploration","Users evaluating Stablecog before committing to API integration"],"limitations":["UI/UX significantly less developed than Midjourney or Leonardo; prompt engineering is less intuitive","No advanced style controls, upscaling tools, or inpainting UI; limited to basic text-to-image and img2img","No community features (galleries, trending prompts, user profiles) unlike competitors","No batch generation UI; users must submit requests sequentially","Unclear if UI supports generation parameter tuning (guidance scale, steps, sampler); may be API-only"],"requires":["Web browser with JavaScript support","Active Stablecog account (free or paid)","Internet connectivity to reach stablecog.com"],"input_types":["text (prompt input field)","image (file upload for img2img)","dropdown selections (model, style, optional parameters)"],"output_types":["image gallery view with generated images","metadata display (generation time, model used, quota remaining)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_8","uri":"capability://image.visual.no.watermark.image.output.with.commercial.rights","name":"no-watermark image output with commercial rights","description":"Generated images are delivered without watermarks or attribution requirements, and paid-tier users receive explicit commercial use rights enabling monetization, resale, or incorporation into products. The system does not embed metadata or licensing restrictions into image files, allowing full ownership and modification of generated assets.","intents":["Generate images for commercial products without watermark removal or licensing friction","Resell or redistribute generated images as part of SaaS products or services","Incorporate generated images into branded materials without attribution","Avoid licensing disputes by securing explicit commercial rights upfront"],"best_for":["Commercial creators and agencies building products with generated imagery","SaaS founders reselling image generation as a feature to end users","Enterprises requiring clean, watermark-free assets for brand materials"],"limitations":["Commercial rights restricted to paid plans; free tier images cannot be used commercially","No explicit licensing document or terms provided; commercial rights enforcement mechanism unknown","Unclear if commercial rights include resale of images as-is or only incorporation into derivative works","No indemnification or IP warranty provided; users assume risk of copyright claims"],"requires":["Paid Stablecog plan (Starter, Pro, or Ultimate) for commercial use rights","Acceptance of Stablecog terms of service regarding commercial use"],"input_types":["plan tier (Paid plans only)"],"output_types":["watermark-free image file (PNG or JPEG)","implicit commercial use rights (terms unspecified)"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_stablecog__cap_9","uri":"capability://automation.workflow.generation.speed.tiering.with.plan.based.performance","name":"generation speed tiering with plan-based performance","description":"Implements performance differentiation where free-tier generations are marked as 'slow' and paid tiers receive 'fast' generation speeds, likely through queue prioritization and GPU resource allocation. The system does not expose specific latency metrics but implies that paid users receive priority queue placement and faster GPU access, reducing wait times for generation completion.","intents":["Reduce iteration time for paid users by prioritizing their requests in generation queue","Monetize speed improvements without changing underlying model or infrastructure","Incentivize free-tier users to upgrade by demonstrating speed benefits","Manage GPU resource contention by prioritizing high-value customers"],"best_for":["Paid users with time-sensitive generation needs requiring fast turnaround","Teams iterating rapidly on designs where generation latency impacts productivity","Budget-conscious users willing to accept slower speeds for free experimentation"],"limitations":["Actual latency metrics not provided; 'slow' vs. 'fast' is qualitative and unmeasured","No SLA or guaranteed generation time; speed depends on server load and queue depth","Speed improvements may be marginal if infrastructure is not GPU-constrained; unclear if speed tier is real or perceived","No option to trade cost for speed within paid tiers; all paid plans receive same 'fast' speed"],"requires":["Paid Stablecog plan for 'fast' generation speeds","Tolerance for variable latency depending on server load"],"input_types":["plan tier (Free vs. Paid)"],"output_types":["generation latency (unspecified, qualitative 'slow' or 'fast')"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Active Stablecog account (free or paid)","API key for programmatic access (authentication mechanism unspecified in docs)","Sufficient monthly credits for intended generation volume","Internet connectivity to reach Stablecog servers","Active Stablecog account with sufficient monthly credits","Input image file (format: PNG or JPEG, dimensions unspecified)","Text prompt describing desired transformation or style","API key for programmatic access","Stablecog account registration","Active plan subscription (free or paid)"],"failure_modes":["Free tier limited to 20 images/day with slow generation speeds and public image visibility","Paid tiers have monthly credit caps (2,000-12,000 images) that do not roll over, forcing monthly budget planning","Generation quality inconsistent across model versions and prompts; requires iterative refinement unlike Midjourney's more polished outputs","No built-in prompt optimization or style guidance system—users must engineer prompts manually","Maximum 4 images per batch regardless of plan; no bulk generation for large campaigns","Inpainting capabilities (selective region editing) are limited compared to paid competitors like Midjourney or Leonardo","Quality of style transfer depends heavily on prompt clarity and input image characteristics; no automatic style detection","Transformation results may diverge significantly from input image if prompt is too different, reducing predictability","No masking or selective editing UI—full image transformation only, no region-specific modifications","Monthly credits expire and do not roll over; unused quota is lost at month end","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.25,"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":"2026-05-24T12:16:33.648Z","last_scraped_at":"2026-04-05T13:23:42.559Z","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=stablecog","compare_url":"https://unfragile.ai/compare?artifact=stablecog"}},"signature":"GO3M+JfGyZLxRdjQYFJvDDc4cNy2skMVdOAQrNlMfqhTeD/NnAJWJ2LoIGuXoFrIkmEwjmVrbMF7fNGLBC9SAQ==","signedAt":"2026-06-20T22:07:29.247Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stablecog","artifact":"https://unfragile.ai/stablecog","verify":"https://unfragile.ai/api/v1/verify?slug=stablecog","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"}}