{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_pixelpet","slug":"pixelpet","name":"PixelPet","type":"product","url":"https://brain.pet","page_url":"https://unfragile.ai/pixelpet","categories":["image-generation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_pixelpet__cap_0","uri":"capability://image.visual.photoshop.native.prompt.based.image.generation","name":"photoshop-native prompt-based image generation","description":"Generates images directly within Photoshop's canvas using natural language prompts, integrated as a plugin that communicates with backend ML inference servers. The plugin intercepts generation requests, sends prompts to cloud-hosted diffusion models, and returns rendered images as new Photoshop layers, preserving the non-destructive editing paradigm. This eliminates context-switching between Photoshop and external AI tools by embedding generation directly into the layer panel workflow.","intents":["Generate placeholder or concept images without leaving Photoshop","Quickly iterate on visual ideas within my existing design composition","Create background elements or fill layers using AI without manual asset sourcing","Maintain a single editing environment for both traditional and AI-assisted design"],"best_for":["Professional graphic designers working in Photoshop daily","Digital artists prototyping concepts rapidly within established workflows","Design teams needing quick asset generation without tool-switching overhead"],"limitations":["Image quality and coherence lag behind Midjourney v6 and DALL-E 3, particularly for complex multi-object compositions","Generation latency depends on backend queue and model inference time, typically 10-30 seconds per image","Prompt understanding is less nuanced than dedicated AI image tools due to simpler underlying models","No fine-tuning or style transfer capabilities — only base model generation"],"requires":["Adobe Photoshop 2023 or later (CC subscription required)","Active PixelPet subscription","Internet connection for cloud inference","Minimum 4GB free disk space for plugin cache"],"input_types":["text (natural language prompts)","optional reference images for style guidance"],"output_types":["raster image layers (PNG/PSD format)","embedded in Photoshop layer stack"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_1","uri":"capability://image.visual.ai.assisted.image.inpainting.and.region.based.editing","name":"ai-assisted image inpainting and region-based editing","description":"Allows designers to select regions within existing Photoshop images and regenerate or modify those areas using inpainting models. The plugin detects layer masks or selection boundaries, sends the masked image region plus a text prompt to inpainting inference endpoints, and returns a seamlessly blended result that respects the surrounding context. This preserves the original image structure while intelligently filling or modifying selected areas.","intents":["Remove or replace unwanted objects from photos without manual cloning","Extend or modify specific regions of a composition while keeping the rest intact","Fill masked areas with AI-generated content that matches the surrounding aesthetic","Iterate on specific design elements without regenerating the entire image"],"best_for":["Photo retouchers and compositors working on commercial imagery","Designers needing quick content-aware edits without Photoshop's healing brush","Teams producing variations of existing designs with localized changes"],"limitations":["Inpainting quality degrades with large masked regions (>40% of image) due to context loss","Seams and blending artifacts visible at mask boundaries in ~15-20% of cases, requiring manual touch-up","Cannot preserve fine details or textures outside the masked region with 100% fidelity","Inference time scales with image resolution and mask complexity, up to 45 seconds for 4K images"],"requires":["Adobe Photoshop 2023 or later","Active PixelPet subscription with inpainting tier","Layer mask or active selection defined in Photoshop","Internet connection for cloud inference"],"input_types":["raster image layer (from Photoshop canvas)","layer mask or selection boundary","text prompt describing desired modification"],"output_types":["inpainted raster layer","optional blend mask for manual refinement"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_2","uri":"capability://image.visual.batch.image.generation.with.parameter.variation","name":"batch image generation with parameter variation","description":"Generates multiple image variations from a single prompt by automatically varying parameters like composition, style, lighting, or color palette across a batch. The plugin queues multiple generation requests with systematically modified prompts or seed variations, collects results asynchronously, and organizes them into a Photoshop layer group for easy comparison. This enables rapid exploration of design directions without manual prompt re-entry.","intents":["Generate 4-8 variations of a concept to present to stakeholders","Explore different artistic styles or color treatments for a single subject","Create a mood board of related images for design direction","Test how different composition parameters affect the final output"],"best_for":["Art directors and creative leads exploring design directions","Freelance designers producing multiple concepts for client approval","Teams needing rapid iteration on visual concepts before detailed design"],"limitations":["Batch generation consumes subscription credits proportionally (e.g., 8 variations = 8x credit cost)","No semantic control over variation parameters — variations are pseudo-random rather than systematically exploring a design space","Batch organization into layer groups can become unwieldy with >20 variations, impacting Photoshop performance","No built-in comparison tools or rating system to track which variations were preferred"],"requires":["Adobe Photoshop 2023 or later","Active PixelPet subscription with sufficient credits","Base prompt and variation count specified (typically 4-12 variations)"],"input_types":["text prompt","variation count (integer, 2-20)","optional style or parameter hints"],"output_types":["multiple raster image layers organized in a layer group","metadata tags on each layer indicating variation parameters"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_3","uri":"capability://image.visual.style.transfer.and.reference.based.image.generation","name":"style transfer and reference-based image generation","description":"Accepts a reference image (e.g., a photograph, artwork, or design sample) and uses it to guide the style, color palette, or composition of newly generated images. The plugin encodes the reference image into a style embedding, combines it with a text prompt, and sends both to a conditional generation model that produces images matching the reference aesthetic. This enables designers to maintain visual consistency across generated assets.","intents":["Generate new images in the style of an existing brand or design system","Match the color palette and mood of a reference photograph","Create variations of a concept while preserving a specific artistic style","Ensure visual consistency across multiple AI-generated assets"],"best_for":["Brand designers maintaining visual consistency across campaigns","Illustrators generating assets in a consistent style","Design systems teams creating themed image libraries"],"limitations":["Style transfer quality depends heavily on reference image clarity and distinctiveness; abstract or low-contrast references produce weak style guidance","Cannot isolate and transfer specific style elements (e.g., only color, only texture) — transfers holistic style","Reference image encoding adds ~5-10 seconds to generation latency","No control over style transfer strength — cannot dial down influence of reference image"],"requires":["Adobe Photoshop 2023 or later","Active PixelPet subscription with style-transfer tier","Reference image file (JPEG, PNG, or Photoshop layer)"],"input_types":["reference image (raster, any resolution)","text prompt describing desired subject/content","optional style intensity parameter"],"output_types":["raster image layer styled according to reference","metadata indicating reference image used"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_4","uri":"capability://image.visual.upscaling.and.resolution.enhancement.for.generated.images","name":"upscaling and resolution enhancement for generated images","description":"Increases the resolution of generated or existing images using super-resolution neural networks, allowing designers to scale low-resolution AI outputs to print-ready dimensions. The plugin sends images to upscaling inference endpoints that reconstruct detail and texture, supporting 2x, 4x, or 8x upscaling factors. Results are returned as new high-resolution layers, preserving the original for comparison.","intents":["Scale AI-generated images from 512x512 to 2048x2048 or higher for print use","Enhance detail in generated images without visible artifacts or blurriness","Prepare AI assets for high-resolution displays or large-format printing","Recover detail lost in initial generation at lower resolutions"],"best_for":["Print designers needing publication-ready resolution from AI generation","Photographers and retouchers enhancing low-resolution source material","Teams producing assets for multiple display formats (web, print, billboard)"],"limitations":["Upscaling cannot recover detail that was never generated — artifacts and hallucinations may appear in upscaled output","4x and 8x upscaling introduce processing latency of 30-60 seconds depending on input resolution","Upscaling quality degrades for images with fine text, small objects, or complex patterns","No control over upscaling algorithm or detail reconstruction strength"],"requires":["Adobe Photoshop 2023 or later","Active PixelPet subscription with upscaling tier","Source image (generated or imported, minimum 256x256)"],"input_types":["raster image layer","upscaling factor (2x, 4x, or 8x)"],"output_types":["high-resolution raster layer","metadata indicating upscaling factor applied"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_5","uri":"capability://image.visual.real.time.generation.preview.with.parameter.adjustment","name":"real-time generation preview with parameter adjustment","description":"Provides a live preview panel within Photoshop that shows generation results as parameters (prompt, style, composition hints) are adjusted in real-time. The plugin debounces user input, sends updated prompts to inference endpoints, and streams preview images back to the Photoshop UI without blocking the main editing workflow. This enables rapid experimentation without committing to full-resolution generation.","intents":["Experiment with prompt wording and see results instantly","Adjust style or composition parameters and preview changes before committing","Iterate rapidly on concept exploration without waiting for full generation","Compare multiple prompt variations side-by-side in the preview panel"],"best_for":["Designers exploring concepts interactively","Teams brainstorming visual directions in real-time","Rapid prototyping workflows where iteration speed is critical"],"limitations":["Preview images are lower resolution (typically 256x256 or 512x512) to maintain responsiveness, not suitable for final output","Real-time generation consumes subscription credits even for preview iterations, adding cost to exploration","Preview latency of 3-8 seconds per update may feel sluggish for rapid iteration","No undo/redo history for preview iterations — only final committed generations are saved"],"requires":["Adobe Photoshop 2023 or later","Active PixelPet subscription with preview tier","Stable internet connection for real-time inference"],"input_types":["text prompt (updated in real-time)","style or composition parameters (sliders, dropdowns)"],"output_types":["low-resolution preview image in side panel","optional full-resolution generation on commit"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_6","uri":"capability://automation.workflow.subscription.credit.management.and.usage.tracking","name":"subscription credit management and usage tracking","description":"Tracks generation credits consumed per operation (generation, inpainting, upscaling, etc.), displays remaining balance within Photoshop, and manages subscription tier upgrades. The plugin maintains a local cache of credit usage and syncs with backend servers to enforce rate limits and prevent overage. Designers can view detailed usage breakdowns by operation type and time period.","intents":["Monitor credit consumption to avoid unexpected overage charges","Understand which operations consume the most credits","Plan generation workflows within monthly credit budget","Upgrade subscription tier when approaching credit limits"],"best_for":["Freelance designers managing project budgets","Design teams tracking AI tool costs across projects","Users optimizing generation workflows to minimize credit consumption"],"limitations":["Credit consumption is opaque — no visibility into why certain operations cost more than others","No granular control over credit allocation or spending caps per project","Credit expiration policies are unclear — unclear if unused credits roll over monthly","No integration with accounting or project management tools for cost tracking"],"requires":["Active PixelPet subscription","Account login within Photoshop plugin"],"input_types":["subscription tier selection","optional billing information"],"output_types":["credit balance display","usage analytics dashboard","billing history"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_pixelpet__cap_7","uri":"capability://tool.use.integration.collaborative.generation.and.asset.sharing","name":"collaborative generation and asset sharing","description":"Allows multiple designers to share generated images and generation parameters within a Photoshop project or team workspace. The plugin stores generation metadata (prompt, parameters, reference images) alongside generated assets, enabling team members to reproduce or iterate on each other's generations. Shared projects sync generation history and allow commenting on specific generated assets.","intents":["Share AI-generated concepts with team members for feedback","Reproduce a colleague's generation with identical parameters","Build a team library of successful prompts and generation parameters","Iterate on a peer's generated asset without starting from scratch"],"best_for":["Design teams collaborating on projects","Agencies managing multiple designers' AI generation workflows","Teams building institutional knowledge of effective prompts and parameters"],"limitations":["Collaboration features require separate team subscription tier, adding cost","No real-time co-generation or simultaneous editing of the same generation task","Shared generation history can become cluttered with hundreds of iterations, making discovery difficult","No version control or branching for generation parameters — linear history only"],"requires":["Adobe Photoshop 2023 or later","Active PixelPet team subscription","Team workspace setup and member invitations"],"input_types":["generated image layers","generation metadata (prompt, parameters)","comments and feedback"],"output_types":["shared project with generation history","team asset library","collaboration comments and annotations"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Adobe Photoshop 2023 or later (CC subscription required)","Active PixelPet subscription","Internet connection for cloud inference","Minimum 4GB free disk space for plugin cache","Adobe Photoshop 2023 or later","Active PixelPet subscription with inpainting tier","Layer mask or active selection defined in Photoshop","Active PixelPet subscription with sufficient credits","Base prompt and variation count specified (typically 4-12 variations)","Active PixelPet subscription with style-transfer tier"],"failure_modes":["Image quality and coherence lag behind Midjourney v6 and DALL-E 3, particularly for complex multi-object compositions","Generation latency depends on backend queue and model inference time, typically 10-30 seconds per image","Prompt understanding is less nuanced than dedicated AI image tools due to simpler underlying models","No fine-tuning or style transfer capabilities — only base model generation","Inpainting quality degrades with large masked regions (>40% of image) due to context loss","Seams and blending artifacts visible at mask boundaries in ~15-20% of cases, requiring manual touch-up","Cannot preserve fine details or textures outside the masked region with 100% fidelity","Inference time scales with image resolution and mask complexity, up to 45 seconds for 4K images","Batch generation consumes subscription credits proportionally (e.g., 8 variations = 8x credit cost)","No semantic control over variation parameters — variations are pseudo-random rather than systematically exploring a design space","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:32.437Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=pixelpet","compare_url":"https://unfragile.ai/compare?artifact=pixelpet"}},"signature":"fWRlsLNno8tgmHDh02Y7PDYN9D+TzZEJBHM8s+hebvtpN6WOLGodzCM6w9qf9VAAg/RZmz/kAQ9yS1e7IBulBg==","signedAt":"2026-06-22T18:30:25.504Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/pixelpet","artifact":"https://unfragile.ai/pixelpet","verify":"https://unfragile.ai/api/v1/verify?slug=pixelpet","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"}}