{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_playbook","slug":"playbook","name":"Playbook","type":"product","url":"https://www.playbook3d.com","page_url":"https://unfragile.ai/playbook","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_playbook__cap_0","uri":"capability://tool.use.integration.comfyui.node.graph.to.3d.scene.compilation","name":"comfyui node-graph to 3d scene compilation","description":"Translates ComfyUI node-based workflows directly into 3D scene definitions by parsing the node graph structure, resolving data flow between nodes, and mapping output tensors (images, latents, conditioning) to 3D asset parameters. This eliminates manual export/import cycles by maintaining a live connection between generative AI pipeline outputs and 3D composition, automatically updating scenes when upstream nodes change.","intents":["I want to feed AI-generated images directly from my ComfyUI workflow into a 3D scene without exporting and re-importing files","I need my 3D scene to update automatically when I tweak parameters in my ComfyUI node graph","I want to use custom ComfyUI nodes (LoRAs, controlnets, custom samplers) and see their outputs immediately in 3D context"],"best_for":["Generative AI designers actively using ComfyUI for image synthesis","3D artists prototyping with AI-generated assets who want to avoid context switching","Teams building custom ComfyUI node extensions that need real-time 3D visualization"],"limitations":["Requires ComfyUI instance running locally or accessible via network; no support for cloud-hosted ComfyUI servers","Limited to node types and output formats that Playbook explicitly supports; custom nodes may require manual integration","Graph compilation adds latency proportional to node count and complexity; large graphs (50+ nodes) may cause UI responsiveness issues"],"requires":["ComfyUI installation (any recent version)","Network connectivity between Playbook and ComfyUI instance","Compatible GPU or CPU for ComfyUI inference"],"input_types":["ComfyUI node graph JSON","Tensor outputs from ComfyUI nodes (images, latents, conditioning)"],"output_types":["3D scene definition (internal format)","Real-time 3D viewport updates"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_1","uri":"capability://image.visual.generative.3d.asset.composition.with.ai.generated.textures.and.geometry","name":"generative 3d asset composition with ai-generated textures and geometry","description":"Enables placement and arrangement of 3D objects (primitives, imported meshes, procedurally generated geometry) within a scene, with automatic texture application from ComfyUI-generated images. Supports UV mapping, material assignment, and real-time preview of how AI-generated textures wrap onto 3D geometry, allowing designers to iterate on material appearance without leaving the tool.","intents":["I want to apply AI-generated textures to 3D models and see how they look in real-time","I need to arrange multiple AI-generated 3D assets into a cohesive scene composition","I want to quickly prototype different material variations by swapping ComfyUI texture outputs"],"best_for":["3D designers and generative artists prototyping product visualizations","Game asset creators using AI to accelerate texture generation","Architects and visualization specialists combining procedural geometry with AI materials"],"limitations":["Geometry generation appears limited to basic primitives and imported meshes; no procedural modeling equivalent to Blender's geometry nodes","Texture resolution capped at ComfyUI output dimensions; high-resolution 4K+ textures may require external upscaling","No built-in support for complex material properties (subsurface scattering, anisotropic reflections); limited to PBR-style metallic/roughness workflows"],"requires":["3D mesh files in supported formats (likely .obj, .fbx, .glb)","ComfyUI instance generating texture outputs","Sufficient VRAM for real-time 3D viewport rendering"],"input_types":["3D mesh files","AI-generated texture images from ComfyUI","Material parameters (metallic, roughness, normal maps)"],"output_types":["3D scene with textured geometry","Real-time viewport render","Exportable scene file"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_10","uri":"capability://automation.workflow.scene.versioning.and.history.tracking.with.undo.redo","name":"scene versioning and history tracking with undo/redo","description":"Maintains a history of scene changes with undo/redo functionality, allowing users to revert to previous states. Optionally supports scene versioning where named snapshots can be saved and restored. Useful for exploring different composition options and reverting to a known good state if changes don't work out.","intents":["I want to undo my last few changes to the scene composition without losing my work","I need to save a snapshot of my scene before making experimental changes","I want to compare two different composition approaches by switching between saved versions"],"best_for":["Designers iterating on scene composition","Teams collaborating on scenes where version control is important","Users exploring multiple design directions"],"limitations":["History is stored in memory; closing the application without saving loses all history","No built-in diff or comparison tool for scene versions; users must manually compare snapshots","History size may grow large with many changes; no automatic cleanup or compression"],"requires":["Playbook scene"],"input_types":["Scene modifications"],"output_types":["Updated scene state","Version snapshots"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_2","uri":"capability://tool.use.integration.dynamic.scene.parameter.binding.to.comfyui.node.inputs","name":"dynamic scene parameter binding to comfyui node inputs","description":"Establishes two-way data binding between 3D scene parameters (camera position, object transforms, lighting intensity) and ComfyUI node inputs (seed, sampler steps, LoRA strength, controlnet conditioning). Changes to scene properties automatically propagate to ComfyUI nodes, triggering re-evaluation and updating the 3D viewport with new AI-generated outputs. Supports parameterized workflows where adjusting a 3D slider updates the generative pipeline.","intents":["I want to adjust a 3D camera angle and have the AI regenerate the scene from that new perspective using controlnet","I need to tweak ComfyUI parameters (like sampler steps or LoRA weight) directly from the 3D viewport without switching windows","I want to create an interactive 3D preview where moving objects triggers re-generation of textures or geometry"],"best_for":["Interactive 3D design workflows where generative parameters need real-time adjustment","Teams building AI-driven 3D visualization tools that need bidirectional parameter sync","Designers prototyping dynamic 3D content where scene state drives AI generation"],"limitations":["Parameter binding requires explicit configuration per node; no automatic type inference between 3D properties and ComfyUI inputs","Latency between parameter change and re-generation visible to user; no predictive or cached generation for smooth interaction","Limited to scalar and simple vector parameters; complex nested structures (arrays, objects) not supported"],"requires":["ComfyUI workflow with exposed input nodes","Playbook scene with defined parameter bindings","Sufficient GPU resources for real-time re-generation"],"input_types":["3D scene parameters (transforms, camera, lighting)","ComfyUI node input definitions"],"output_types":["Updated ComfyUI node inputs","Re-generated AI outputs","Updated 3D viewport"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_3","uri":"capability://image.visual.real.time.3d.viewport.rendering.with.ai.generated.asset.preview","name":"real-time 3d viewport rendering with ai-generated asset preview","description":"Provides a WebGL or GPU-accelerated 3D viewport that renders scenes composed of AI-generated textures and geometry in real-time. Supports camera manipulation (orbit, pan, zoom), lighting adjustments, and material preview modes. The viewport updates live as ComfyUI outputs change, allowing designers to see the impact of generative parameter changes immediately without waiting for export/import cycles.","intents":["I want to see how my AI-generated textures look on 3D geometry in real-time as I adjust ComfyUI parameters","I need to rotate and inspect a 3D scene from multiple angles to evaluate composition and material quality","I want to adjust lighting in the 3D scene to see how it affects the appearance of AI-generated textures"],"best_for":["Designers iterating on 3D compositions with AI-generated assets","Teams evaluating product visualizations or architectural renderings","Artists prototyping visual effects or material variations"],"limitations":["Real-time rendering limited to viewport resolution; no high-resolution offline rendering (requires export to external renderer)","Lighting model appears to be basic PBR; no support for advanced rendering features like ray tracing, global illumination, or volumetric effects","Performance degrades with scene complexity; large numbers of objects or high-resolution textures may cause frame rate drops"],"requires":["WebGL 2.0 or equivalent GPU support","Modern browser or desktop application with GPU acceleration","Sufficient VRAM for texture storage and rendering"],"input_types":["3D scene definition","Texture images","Material parameters","Camera and lighting configuration"],"output_types":["Real-time 3D viewport render","Screenshot/export of viewport"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_4","uri":"capability://automation.workflow.scene.export.to.standard.3d.formats.and.rendering.engines","name":"scene export to standard 3d formats and rendering engines","description":"Exports composed 3D scenes to industry-standard formats (likely .glb, .fbx, .obj) and optionally to rendering engines (Unreal, Unity, Three.js) for further refinement or deployment. Preserves material assignments, texture references, and object hierarchy during export. Supports batch export of multiple scene variations generated from ComfyUI parameter sweeps.","intents":["I want to export my Playbook scene to Blender for high-quality offline rendering","I need to import a Playbook scene into Unreal Engine for interactive visualization","I want to export multiple scene variations (different AI-generated textures) as separate files for comparison"],"best_for":["Teams using Playbook for rapid prototyping but needing production-grade rendering in external tools","Game developers integrating AI-generated assets into game engines","Visualization specialists exporting scenes for client presentations"],"limitations":["Export fidelity depends on format support; some material properties may not translate to target engine","Texture references may be relative paths; absolute paths required for reliable import in external tools","No built-in support for exporting animation or dynamic parameters; static scene snapshots only"],"requires":["Playbook scene with complete geometry and material definitions","Target application supporting the export format (Blender, Unreal, Unity, etc.)"],"input_types":["Playbook scene definition","3D geometry and textures"],"output_types":[".glb, .fbx, .obj files","Engine-specific project files (optional)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_5","uri":"capability://automation.workflow.batch.scene.generation.from.comfyui.parameter.sweeps","name":"batch scene generation from comfyui parameter sweeps","description":"Automates creation of multiple scene variations by sweeping ComfyUI node parameters (seed, sampler steps, LoRA weights) and generating a new scene for each parameter combination. Playbook orchestrates the parameter sweep, triggers ComfyUI re-generation for each combination, and composes the resulting outputs into separate scenes. Useful for exploring design variations or creating animation frames.","intents":["I want to generate 10 different texture variations by sweeping the seed parameter and see them all in 3D","I need to create an animation by varying camera position and regenerating the scene at each frame","I want to explore how different LoRA weights affect the final 3D composition without manually adjusting each one"],"best_for":["Designers exploring design variations and comparing multiple options","Teams generating animation frames from parameterized generative workflows","Researchers studying the impact of generative parameters on 3D composition"],"limitations":["Batch generation time scales linearly with number of variations; no parallelization across multiple GPUs","Requires significant disk space to store all generated textures and scene files","No built-in deduplication; similar variations may be generated multiple times if parameter ranges overlap"],"requires":["ComfyUI workflow with parameterized inputs","Sufficient disk space for all generated outputs","Sufficient GPU resources and time for batch generation"],"input_types":["ComfyUI workflow","Parameter sweep definitions (ranges, step counts)"],"output_types":["Multiple Playbook scenes","Batch of AI-generated textures","Scene metadata (parameter values for each variation)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_6","uri":"capability://tool.use.integration.custom.comfyui.node.integration.and.extension.support","name":"custom comfyui node integration and extension support","description":"Allows registration and use of custom ComfyUI nodes within Playbook workflows, including community nodes, LoRA loaders, controlnet processors, and user-defined nodes. Playbook introspects custom node signatures (inputs, outputs, parameters) and exposes them in the UI for configuration. Supports nodes that generate images, conditioning, latents, or other data types that feed into 3D composition.","intents":["I want to use a custom LoRA node in my ComfyUI workflow and have its output automatically appear in my 3D scene","I need to integrate a community controlnet node to condition image generation based on 3D camera position","I want to use a custom sampler node and see its effects on the generated textures in real-time"],"best_for":["Advanced users with custom ComfyUI nodes they want to integrate into 3D workflows","Teams building proprietary ComfyUI extensions that need 3D visualization","Researchers experimenting with novel generative techniques in 3D context"],"limitations":["Custom node support requires explicit registration; not all community nodes are automatically compatible","Nodes that produce non-standard output types (e.g., custom tensor formats) may not integrate without manual adaptation","No built-in node validation; incompatible or broken nodes may cause silent failures or crashes"],"requires":["ComfyUI custom node installed and accessible","Custom node source code or compiled binary","Playbook integration code or configuration for the custom node"],"input_types":["Custom ComfyUI node definition","Custom node parameters"],"output_types":["Custom node outputs (images, conditioning, latents, etc.)","Integration into Playbook scene"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_7","uri":"capability://image.visual.scene.composition.with.hierarchical.object.organization.and.grouping","name":"scene composition with hierarchical object organization and grouping","description":"Organizes 3D objects into hierarchical groups and layers, enabling efficient management of complex scenes with many assets. Supports parent-child relationships, layer visibility toggling, and batch operations on grouped objects (transform, material assignment, visibility). Hierarchy is preserved during export and can be used to organize AI-generated assets by type or generation source.","intents":["I want to organize my scene into logical groups (e.g., 'AI-generated textures', 'imported meshes', 'lighting') for easier management","I need to hide/show groups of objects to evaluate different composition options","I want to apply a material change to all objects in a group without selecting them individually"],"best_for":["Designers working with complex scenes containing many objects","Teams collaborating on scenes where clear organization is important","Projects where scene structure needs to be preserved during export"],"limitations":["Hierarchy depth may be limited; very deep nesting (10+ levels) may cause performance issues","Batch operations on groups may not support all properties (e.g., per-object material overrides)","No built-in naming conventions or templates for organizing scenes"],"requires":["Playbook scene with multiple objects"],"input_types":["3D objects","Grouping definitions"],"output_types":["Hierarchical scene structure","Organized viewport display"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_8","uri":"capability://image.visual.camera.and.lighting.configuration.with.preset.management","name":"camera and lighting configuration with preset management","description":"Provides tools for configuring camera position, field of view, and depth-of-field, as well as lighting setup (directional lights, point lights, ambient lighting). Supports saving and loading camera/lighting presets for quick switching between different viewing angles and lighting scenarios. Presets can be parameterized and linked to ComfyUI inputs for dynamic lighting control.","intents":["I want to save different camera angles and quickly switch between them while evaluating my 3D scene","I need to adjust lighting to see how it affects the appearance of AI-generated textures","I want to create a lighting preset that matches a specific mood or style and apply it to multiple scenes"],"best_for":["Designers iterating on scene composition and camera angles","Teams creating multiple visualizations with consistent lighting","Artists exploring how lighting affects the perception of AI-generated materials"],"limitations":["Lighting model is basic PBR; no support for advanced features like area lights, light probes, or indirect lighting","Presets are stored locally; no built-in sharing or collaboration features","Camera presets are scene-specific; no easy way to apply a camera angle from one scene to another"],"requires":["Playbook scene with camera and lighting configuration"],"input_types":["Camera parameters (position, rotation, FOV, depth-of-field)","Lighting parameters (position, intensity, color, type)"],"output_types":["Configured viewport","Preset definitions (JSON or similar)"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_playbook__cap_9","uri":"capability://image.visual.material.and.texture.parameter.adjustment.with.live.preview","name":"material and texture parameter adjustment with live preview","description":"Provides UI controls for adjusting material properties (metallic, roughness, normal map intensity, emissive strength) with real-time viewport updates. Changes to material parameters are immediately visible in the 3D viewport without requiring re-generation or re-import. Supports material variants where different parameter sets can be saved and swapped for the same texture.","intents":["I want to adjust the roughness of a material to see how it affects the appearance of my AI-generated texture","I need to create multiple material variants from the same texture (e.g., shiny vs matte versions) for comparison","I want to tweak normal map intensity to enhance surface detail without re-generating the texture"],"best_for":["Designers fine-tuning material appearance after AI texture generation","Teams exploring material variations without re-running the generative pipeline","Artists optimizing textures for specific lighting conditions or viewing angles"],"limitations":["Material properties limited to PBR parameters; no support for custom shaders or advanced material systems","Changes to material parameters are not automatically synchronized back to ComfyUI; one-way adjustment only","No built-in material library or presets; users must manually configure each material"],"requires":["Playbook scene with textured objects","Material parameters exposed in UI"],"input_types":["Material parameter values (metallic, roughness, etc.)","Texture images"],"output_types":["Updated viewport render","Material configuration"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"low","permissions":["ComfyUI installation (any recent version)","Network connectivity between Playbook and ComfyUI instance","Compatible GPU or CPU for ComfyUI inference","3D mesh files in supported formats (likely .obj, .fbx, .glb)","ComfyUI instance generating texture outputs","Sufficient VRAM for real-time 3D viewport rendering","Playbook scene","ComfyUI workflow with exposed input nodes","Playbook scene with defined parameter bindings","Sufficient GPU resources for real-time re-generation"],"failure_modes":["Requires ComfyUI instance running locally or accessible via network; no support for cloud-hosted ComfyUI servers","Limited to node types and output formats that Playbook explicitly supports; custom nodes may require manual integration","Graph compilation adds latency proportional to node count and complexity; large graphs (50+ nodes) may cause UI responsiveness issues","Geometry generation appears limited to basic primitives and imported meshes; no procedural modeling equivalent to Blender's geometry nodes","Texture resolution capped at ComfyUI output dimensions; high-resolution 4K+ textures may require external upscaling","No built-in support for complex material properties (subsurface scattering, anisotropic reflections); limited to PBR-style metallic/roughness workflows","History is stored in memory; closing the application without saving loses all history","No built-in diff or comparison tool for scene versions; users must manually compare snapshots","History size may grow large with many changes; no automatic cleanup or compression","Parameter binding requires explicit configuration per node; no automatic type inference between 3D properties and ComfyUI inputs","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"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":"2026-05-24T12:16:32.437Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=playbook","compare_url":"https://unfragile.ai/compare?artifact=playbook"}},"signature":"Gk5qydrp8zZ7i8XQmLdsbFQ4y45Obvu4RvZ+YbgeT7Z9do9lczDCINvUlSOqpBDmBOcgs5n6fMPgERSMRQT0BA==","signedAt":"2026-06-22T05:27:35.390Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/playbook","artifact":"https://unfragile.ai/playbook","verify":"https://unfragile.ai/api/v1/verify?slug=playbook","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"}}