{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"luma-labs-api","slug":"luma-labs-api","name":"Luma Labs API","type":"api","url":"https://lumalabs.ai/dream-machine/api","page_url":"https://unfragile.ai/luma-labs-api","categories":["video-generation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"luma-labs-api__cap_0","uri":"capability://image.visual.physics.aware.text.to.video.generation.with.natural.motion.synthesis","name":"physics-aware text-to-video generation with natural motion synthesis","description":"Generates photorealistic videos from text prompts using Ray3.14 model with built-in physics simulation and natural motion synthesis. The system interprets semantic descriptions of movement, gravity, and object interactions to produce videos with physically plausible motion rather than interpolated frames. Supports multiple output resolutions (540p, 720p, 1080p) and draft mode for faster iteration, with optional HDR variant for enhanced color grading and dynamic range.","intents":["Generate cinematic product demos with realistic object physics and natural motion","Create visual effects previsualization with accurate gravity and collision simulation","Produce marketing content with photorealistic motion from text descriptions","Iterate quickly on video concepts using draft mode before committing to full-resolution renders"],"best_for":["Creative directors and VFX artists building content pipelines","Product marketing teams creating demo videos without filming","Game developers previsualization physics-based scenes","Commercial production studios requiring photorealistic output"],"limitations":["No documented maximum prompt length or complexity constraints","Generation time not specified — 'hyperfast' is marketing claim without concrete SLA","Physics simulation fidelity depends on prompt clarity; ambiguous descriptions may produce unpredictable motion","No fine-tuning or custom physics parameters exposed via API","Video duration limits not documented"],"requires":["Valid API key for Luma Labs API","Minimum 4 credits (draft mode) to 80 credits (1080p) per generation","Text prompt describing desired scene and motion"],"input_types":["text (natural language prompt describing scene, motion, camera movement)"],"output_types":["video (MP4 or similar format, 540p/720p/1080p resolution, variable frame rate)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_1","uri":"capability://image.visual.cinematic.camera.control.with.semantic.motion.specification","name":"cinematic camera control with semantic motion specification","description":"Enables fine-grained control over camera movement through natural language descriptions of cinematography techniques (sweeping panoramas, close-ups, tracking shots, dolly movements). The system parses camera intent from text prompts and synthesizes corresponding camera trajectories and framing during video generation. Works in conjunction with text-to-video generation to produce videos with intentional camera work rather than static or random viewpoints.","intents":["Specify complex camera movements (tracking shots, crane movements) via text without manual keyframing","Generate videos with cinematic framing and composition matching film production standards","Create multi-shot sequences with coordinated camera work from single text description","Produce content with intentional visual storytelling through camera placement and movement"],"best_for":["Filmmakers and cinematographers using AI as a preproduction tool","Content creators building narrative-driven videos without traditional filming","Advertising agencies producing cinematic commercials at scale","Game studios generating in-engine cinematics with controlled camera work"],"limitations":["Camera control fidelity depends on prompt specificity — vague descriptions may produce generic framing","No documented support for precise camera parameters (focal length, aperture, depth-of-field simulation)","Cannot specify exact camera trajectory coordinates or keyframes","Limited to semantic camera descriptions; no direct control over camera intrinsics"],"requires":["Valid API key for Luma Labs API","Text prompt including cinematography terminology (e.g., 'tracking shot', 'crane up', 'close-up')","Minimum 4 credits (draft) to 80 credits (1080p) per generation"],"input_types":["text (natural language prompt with cinematography intent and camera movement descriptions)"],"output_types":["video (MP4 or similar, 540p/720p/1080p, with synthesized camera movements)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_10","uri":"capability://tool.use.integration.credit.based.usage.billing.with.tiered.subscription.plans.and.per.operation.pricing","name":"credit-based usage billing with tiered subscription plans and per-operation pricing","description":"Implements a credit-based billing system where each API operation (video generation, image generation, audio generation, utilities) consumes a specific number of credits. Monthly subscription plans (Plus $30, Pro $90, Ultra $300) provide credit allowances with multipliers for Luma Agents (4x for Pro, 15x for Ultra). Per-operation costs range from 1 credit (background removal) to 768 credits (video-to-video 1080p HDR). Free trial credits are provided but amount not specified.","intents":["Predict and control API costs by understanding per-operation credit consumption","Choose subscription tier based on expected monthly usage and cost budget","Optimize costs by selecting appropriate quality tiers and models","Track and allocate credits across team members or projects"],"best_for":["Teams building production applications with predictable API costs","Startups optimizing cost-per-output for profitability","Enterprises managing API spend across multiple projects","Developers prototyping with free trial credits before committing to paid plans"],"limitations":["Credit-to-USD conversion rate not documented; unclear if 1 credit = $0.01 or other ratio","Free trial credit amount not specified; unclear how long trial lasts","No volume discounts beyond subscription tiers","No per-project or per-user credit allocation within subscription","No credit rollover or expiration policy documented","Luma Agents multiplier (4x, 15x) not explained; unclear what Luma Agents are or how they work","No usage analytics or cost forecasting tools documented"],"requires":["Valid payment method for subscription tier","Luma Labs account with API key","Sufficient credits for desired operations"],"input_types":["subscription tier selection (Plus/Pro/Ultra)","API operations (video generation, image generation, etc.)"],"output_types":["billing statement (credits consumed, remaining balance, monthly cost)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_11","uri":"capability://image.visual.draft.mode.for.rapid.iteration.with.lower.cost.preview.generation","name":"draft mode for rapid iteration with lower-cost preview generation","description":"Enables draft mode for video generation operations, consuming 4 credits (vs. 80 for 1080p full quality) for text-to-video and image-to-video, and 12 credits (vs. 192 for 1080p full quality) for video-to-video. Draft mode produces lower-resolution or lower-quality previews suitable for concept validation and iteration before committing to full-resolution renders. Supports all video generation models and modes.","intents":["Validate video concepts and prompts with low-cost previews before full-resolution generation","Iterate rapidly on prompts and parameters without expensive full-quality renders","Build draft-then-refine workflows for cost-efficient content production","Prototype video generation pipelines with minimal credit consumption"],"best_for":["Content creators iterating on video concepts and prompts","Developers prototyping video generation pipelines","Teams with limited budgets validating ideas before full production","Researchers exploring prompt engineering and model behavior"],"limitations":["Draft quality not documented; unclear if it's lower resolution, lower frame rate, or lower fidelity","No quality preview or comparison between draft and full-resolution output","Draft mode available for video generation but not image generation","No automatic quality progression (draft → full resolution) in single API call"],"requires":["Valid API key for Luma Labs API","Text or image prompt for video generation","4 credits (text/image-to-video draft) or 12 credits (video-to-video draft)"],"input_types":["text (natural language prompt)","image (for image-to-video or video-to-video)","video (for video-to-video)"],"output_types":["video (lower-quality preview, resolution and format not specified)"],"categories":["image-visual","video-generation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_12","uri":"capability://image.visual.hdr.video.generation.with.enhanced.color.grading.and.dynamic.range","name":"hdr video generation with enhanced color grading and dynamic range","description":"Provides HDR (High Dynamic Range) variants of Ray3.14 video generation for enhanced color grading, dynamic range, and visual fidelity. HDR variants cost 4x more than standard variants (16 credits draft to 320 credits 1080p for text/image-to-video, 48-768 credits for video-to-video). Enables production-quality output with extended color space and luminance range suitable for premium content and cinema workflows.","intents":["Generate production-quality videos with extended color grading and dynamic range","Create content for HDR-capable displays and streaming platforms","Produce cinematic videos with enhanced visual fidelity and color precision","Build premium content pipelines with cinema-grade output"],"best_for":["Premium content studios producing cinema-grade videos","Streaming platforms offering HDR content to subscribers","Game studios generating cinematic trailers and cutscenes","High-end advertising and commercial production"],"limitations":["HDR output format and color space not documented (Rec. 2020, DCI-P3, etc.)","4x cost premium may not be justified for all use cases","HDR display requirements for viewing not documented","No guidance on when to use HDR vs. standard variants","HDR support may be limited to specific output platforms or formats"],"requires":["Valid API key for Luma Labs API","Text or image prompt for video generation","4x credits compared to standard variants (16-320 for text/image-to-video, 48-768 for video-to-video)"],"input_types":["text (natural language prompt)","image (for image-to-video or video-to-video)","video (for video-to-video)"],"output_types":["video (HDR format, color space and resolution not fully specified)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_13","uri":"capability://image.visual.multi.resolution.video.output.with.540p.720p.1080p.quality.tiers","name":"multi-resolution video output with 540p/720p/1080p quality tiers","description":"Supports multiple output resolutions (540p, 720p, 1080p) for video generation with corresponding credit costs (4-80 for text/image-to-video, 12-192 for video-to-video in standard mode). Developers select resolution based on quality requirements and budget. Higher resolutions consume more credits but produce sharper, more detailed output suitable for different distribution channels and display sizes.","intents":["Generate videos at specific resolutions for different platforms (540p for mobile, 1080p for cinema)","Optimize cost-quality tradeoff by selecting appropriate resolution tier","Produce multi-resolution variants from single prompt for multi-platform distribution","Build resolution-adaptive workflows based on target display or platform"],"best_for":["Content platforms distributing videos across multiple resolutions","Teams optimizing cost-per-video by selecting appropriate resolution","Developers building adaptive video generation pipelines","Production studios generating content for specific display formats"],"limitations":["Credit cost scaling between resolutions not linear (4→80 credits is 20x for 3 resolution tiers)","No guidance on when to use 540p vs. 720p vs. 1080p","Frame rate and aspect ratio constraints not documented","No automatic resolution selection based on target platform"],"requires":["Valid API key for Luma Labs API","Text or image prompt for video generation","Credits appropriate for selected resolution (4-80 for text/image-to-video, 12-192 for video-to-video)"],"input_types":["text (natural language prompt)","image (for image-to-video or video-to-video)","video (for video-to-video)"],"output_types":["video (540p, 720p, or 1080p resolution)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_14","uri":"capability://tool.use.integration.credit.based.usage.tracking.and.cost.estimation","name":"credit-based usage tracking and cost estimation","description":"Provides transparent credit-based pricing model where each operation consumes a specific number of credits based on model, resolution, and duration. The system enables users to estimate costs before generation and track cumulative usage across operations. Credits are purchased through subscription tiers (Plus $30/mo, Pro $90/mo, Ultra $300/mo) or consumed from free trial allocations.","intents":["Estimate generation costs before committing to large-scale projects","Track usage and budget consumption across team members or projects","Optimize generation parameters (resolution, model) based on cost constraints","Plan subscription tier selection based on projected usage"],"best_for":["Teams managing generation budgets and cost optimization","Builders integrating Luma API into products with cost-aware features","Enterprises planning subscription tier selection based on usage","Developers implementing cost estimation or budget alerts"],"limitations":["Credit-to-USD conversion rate not documented; cost estimation requires external rate lookup","Free trial credit allocation not specified; unclear how many credits are provided","No per-user or per-project cost tracking; billing is account-level only","No cost alerts or budget caps; users must manually monitor spending"],"requires":["API key from Luma Labs","Subscription tier (Plus or higher) or active free trial","Optional: cost estimation before generation (requires knowledge of credit costs per operation)"],"input_types":["operation type (text-to-video, image-generation, etc.)","model identifier","resolution or duration parameter"],"output_types":["credit cost estimate (numeric)","usage summary (total credits consumed, remaining credits)","cost breakdown by operation type"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_15","uri":"capability://tool.use.integration.subscription.tier.management.with.usage.scaling","name":"subscription tier management with usage scaling","description":"Offers tiered subscription plans (Plus, Pro, Ultra) with increasing monthly credit allocations and feature access. The system maps subscription tier to usage limits and feature availability (e.g., Plus includes commercial use, Pro includes 4x usage with Luma Agents, Ultra includes 15x usage). Enables users to select tier based on projected usage and feature requirements.","intents":["Select subscription tier based on monthly generation volume and feature needs","Scale usage by upgrading to higher tier (Pro/Ultra) for increased monthly credits","Enable commercial use of generated content through Plus tier or higher","Access advanced features (Luma Agents) through Pro/Ultra tiers"],"best_for":["Individual creators starting with Plus tier ($30/mo) and scaling to Pro/Ultra","Teams managing shared API access through subscription tier","Enterprises planning custom deployments through Enterprise tier","Builders integrating Luma into products with tiered user access"],"limitations":["Tier upgrade/downgrade timing and billing cycle not documented","Monthly credit allocation not specified; unclear how many credits each tier provides","Pro/Ultra usage scaling (4x/15x) is relative to unspecified baseline; absolute credit amounts unknown","Team tier coming soon; no current team management or SSO features","Enterprise tier requires custom negotiation; no published pricing or SLA"],"requires":["Luma Labs account","Payment method (credit card or other; not specified)","Subscription tier selection (Plus, Pro, Ultra, or Enterprise)"],"input_types":["tier identifier (plus, pro, ultra, enterprise)","billing cycle (monthly or yearly)"],"output_types":["subscription confirmation","monthly credit allocation","feature access list","billing invoice"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_2","uri":"capability://image.visual.image.to.video.generation.with.motion.synthesis.from.static.frames","name":"image-to-video generation with motion synthesis from static frames","description":"Converts static images into photorealistic videos by synthesizing plausible motion and scene evolution from a single frame. The system analyzes the input image's composition, objects, and context, then generates natural motion and camera movement that extends the scene temporally. Supports the same resolution options (540p-1080p) and draft mode as text-to-video, with physics-aware motion synthesis ensuring coherent object behavior.","intents":["Animate product photos into dynamic showcase videos with realistic motion","Extend still photographs with natural scene evolution and camera movement","Generate video variations from a single reference image for A/B testing","Create cinematic sequences from landscape or architectural photography"],"best_for":["E-commerce platforms animating product catalogs at scale","Real estate and architecture firms creating property showcase videos","Social media content creators extending still images into video content","Stock photo platforms offering video variants of existing images"],"limitations":["Motion synthesis quality depends on image clarity and composition — low-quality or ambiguous images produce unpredictable results","No control over motion direction or intensity; system infers motion from image content alone","Cannot specify which objects should move or remain static","Image file format and size constraints not documented","No support for multi-image sequences or storyboarding"],"requires":["Valid API key for Luma Labs API","Static image file (format and size limits unknown)","Optional text prompt describing desired motion or scene evolution","Minimum 4 credits (draft) to 80 credits (1080p) per generation"],"input_types":["image (JPEG, PNG, or WebP — exact formats not documented)","text (optional prompt describing desired motion or scene evolution)"],"output_types":["video (MP4 or similar, 540p/720p/1080p, with synthesized motion)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_3","uri":"capability://image.visual.video.to.video.style.transfer.and.editing.with.motion.preservation","name":"video-to-video style transfer and editing with motion preservation","description":"Transforms existing videos by applying style changes, visual effects, or compositional edits while preserving the original motion and temporal coherence. The system analyzes the input video's motion patterns and object trajectories, then applies transformations (style transfer, color grading, object replacement, scene modification) while maintaining frame-to-frame consistency. Supports draft and full-resolution output with optional HDR enhancement.","intents":["Apply consistent visual style or color grading across entire video sequences","Transform video aesthetics (e.g., photorealistic to animated, day to night) while preserving motion","Edit or replace objects in video while maintaining natural motion and occlusion","Generate multiple stylistic variations of the same video for A/B testing or localization"],"best_for":["Post-production studios applying effects to footage without re-shooting","Content creators generating multiple style variants from single video source","Marketing teams localizing video content with regional aesthetic preferences","Game developers creating cinematic variations with different visual styles"],"limitations":["Motion preservation fidelity depends on input video quality and clarity","No frame-level control over which regions or objects to transform","Cannot specify precise style parameters or intensity levels","Video file size and duration limits not documented","No support for multi-track editing or layered transformations","Costs 12-192 credits per generation (3-4x text-to-video cost), making iterative editing expensive"],"requires":["Valid API key for Luma Labs API","Input video file (format and size limits unknown)","Text prompt describing desired style, transformation, or editing intent","Minimum 12 credits (draft) to 192 credits (1080p) per generation"],"input_types":["video (MP4 or similar format — exact codecs and size limits not documented)","text (prompt describing desired style transformation or editing intent)"],"output_types":["video (MP4 or similar, 540p/720p/1080p, with applied transformations and preserved motion)"],"categories":["image-visual","video-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_4","uri":"capability://image.visual.multi.model.video.generation.with.third.party.model.integration","name":"multi-model video generation with third-party model integration","description":"Provides access to multiple video generation models (Ray3.14, Ray2, Kling 2.6, Veo 3, Veo 3.1) through a unified API, allowing developers to choose models based on quality, speed, or cost requirements. Each model has distinct capabilities and pricing; Ray3.14 is the latest flagship with physics-aware motion, while third-party models (Kling, Veo) offer alternative architectures and cost profiles. System abstracts model selection and parameter passing through a single API interface.","intents":["Compare output quality across multiple video generation models for the same prompt","Select models based on cost-quality tradeoff (e.g., Kling 2.6 for budget, Ray3.14 for quality)","Build model-agnostic video generation pipelines that can switch models without code changes","Leverage model-specific strengths (e.g., Ray2 for storytelling, Veo 3 for specific aesthetics)"],"best_for":["Production studios evaluating multiple models for quality and cost","Developers building model-agnostic video generation platforms","Teams optimizing cost-per-video by selecting appropriate models per use case","Researchers comparing video generation architectures"],"limitations":["No documented model comparison metrics (quality, speed, cost per output type)","Ray2 described as 'frontier' but appears to be previous generation; unclear when it should be preferred over Ray3.14","Third-party models (Kling, Veo) have different capabilities and pricing; no guidance on model selection","No A/B testing framework or automated model selection based on prompt characteristics","Switching models requires API changes; no built-in fallback or retry logic"],"requires":["Valid API key for Luma Labs API","Knowledge of available models and their capabilities","Text or image prompt appropriate for selected model","Credits sufficient for selected model (pricing varies 4-280 credits per generation)"],"input_types":["text (natural language prompt)","image (for image-to-video or video-to-video modes)","video (for video-to-video mode)"],"output_types":["video (MP4 or similar, resolution and format depend on model)"],"categories":["image-visual","video-generation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_5","uri":"capability://image.visual.text.to.image.generation.with.character.and.style.reference.control","name":"text-to-image generation with character and style reference control","description":"Generates photorealistic images from text prompts using Luma Photon model with optional reference images for character consistency and visual style blending. The system supports two reference modes: character reference (maintaining consistent character appearance across variations) and visual reference (blending aesthetic and style from reference images). Offers 1080p and 720p fast variants for speed-quality tradeoff, with 30 credits per generation.","intents":["Generate consistent character variations for game assets, animation, or illustration","Create images matching specific visual style or aesthetic by providing reference images","Produce photorealistic product images with consistent branding and style","Generate character concept art with controlled appearance and style consistency"],"best_for":["Game studios generating character assets with consistent appearance","Illustration and concept art teams exploring character variations","E-commerce platforms generating product images with consistent branding","Animation studios creating character sheets and concept art"],"limitations":["Character reference mode may not maintain perfect consistency across generations","Visual reference blending is semantic (style-based) rather than precise color/texture matching","No control over which aspects of reference image to preserve vs. modify","Maximum image dimensions and file format constraints not documented","No batch generation or multi-image output per request"],"requires":["Valid API key for Luma Labs API","Text prompt describing desired image","Optional reference image (character or visual style reference)","30 credits per generation"],"input_types":["text (natural language prompt describing desired image)","image (optional reference image for character or style consistency)"],"output_types":["image (1080p or 720p fast variant, format not specified)"],"categories":["image-visual","image-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_6","uri":"capability://image.visual.alternative.image.generation.models.with.quality.speed.tradeoffs","name":"alternative image generation models with quality-speed tradeoffs","description":"Provides access to multiple image generation models (Uni-1, Seedream, Nano Banana, GPT Image 1.5) with varying quality tiers, speed profiles, and cost structures. Seedream offers 1K/2K/4K quality tiers (1-3 credits), Nano Banana variants provide 23-53 credits per generation, and GPT Image 1.5 supports Low/Medium/High quality (4-60 credits). Developers select models based on quality requirements, latency constraints, and budget.","intents":["Generate images at specific quality tiers (1K/2K/4K) with predictable cost","Choose between speed-optimized (Seedream 1K) and quality-optimized (Seedream 4K) variants","Build cost-efficient image generation pipelines using low-credit models for drafts","Compare output quality across multiple image generation architectures"],"best_for":["Teams optimizing cost-per-image by selecting appropriate quality tiers","Developers building draft-then-refine workflows with quality progression","Platforms offering tiered image generation quality to users","Researchers comparing image generation model architectures"],"limitations":["No documented quality metrics or visual comparison between models","Seedream quality tiers (1K/2K/4K) refer to resolution, not semantic quality","No guidance on when to use Uni-1 vs. Nano Banana vs. GPT Image 1.5","Create/modify operations available but 'modify' semantics not documented","No batch generation or multi-image output per request"],"requires":["Valid API key for Luma Labs API","Text prompt describing desired image","Credits appropriate for selected model (1-60 credits depending on model and quality)"],"input_types":["text (natural language prompt)"],"output_types":["image (resolution and format depend on model and quality tier)"],"categories":["image-visual","image-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_7","uri":"capability://image.visual.text.to.speech.and.audio.generation.with.multiple.voice.and.music.models","name":"text-to-speech and audio generation with multiple voice and music models","description":"Generates audio content from text or sound effect descriptions using ElevenLabs v3 (text-to-speech), ElevenLabs SFX v2 (sound effects), and ElevenLabs Music v1 (music generation). Pricing is per-character for TTS (21 credits per 1,000 characters) and per-minute for SFX and music (25 and 98 credits respectively). Integrates audio generation into video workflows, with optional audio variants for video models (720p/1080p with audio).","intents":["Generate voiceovers and narration for videos without hiring voice actors","Create sound effects and ambient audio to accompany video content","Generate background music for videos with specified mood or style","Build complete audio-visual content pipelines combining video and audio generation"],"best_for":["Content creators producing videos with voiceovers and sound design","Marketing teams creating localized video content with generated narration","Game studios generating audio assets and ambient sound","Podcast and audio content creators generating background music and effects"],"limitations":["No documented voice selection or customization options for TTS","Music generation quality and style control not documented","Sound effects generation limited to text descriptions; no audio reference input","No support for voice cloning or custom voice training","Audio isolation (vocal separation) is utility function, not generation capability","Per-minute pricing for SFX and music makes long-form content expensive"],"requires":["Valid API key for Luma Labs API","Text (for TTS or music generation) or sound effect description","Credits: 21 per 1K characters (TTS), 25 per minute (SFX), 98 per minute (music)"],"input_types":["text (natural language for TTS, music description, or sound effect description)"],"output_types":["audio (MP3 or similar format, duration depends on input)"],"categories":["image-visual","text-generation-language","audio-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_8","uri":"capability://image.visual.image.utility.operations.with.background.removal.blending.and.reframing","name":"image utility operations with background removal, blending, and reframing","description":"Provides image manipulation utilities: background removal (1 credit per image), image blending (1 credit per image), and image reframing (2 credits per image). These are lightweight operations complementing image and video generation, enabling post-processing workflows. Background removal isolates subjects, blending combines multiple images, and reframing adjusts composition or aspect ratio.","intents":["Remove backgrounds from product photos for e-commerce or catalog use","Blend multiple reference images to create composite visuals","Reframe images to different aspect ratios for multi-platform distribution","Build image preprocessing pipelines before feeding to video generation"],"best_for":["E-commerce platforms processing product images at scale","Content creators adapting images for multiple social media platforms","Design teams compositing images and adjusting framing","Developers building image preprocessing pipelines"],"limitations":["Background removal quality and edge handling not documented","Blending algorithm and control parameters not specified","Reframing may use cropping, padding, or inpainting — approach not documented","No batch processing; each operation is individual API call","No preview or quality assessment before committing credits"],"requires":["Valid API key for Luma Labs API","Input image (format and size limits not documented)","1-2 credits per operation depending on utility"],"input_types":["image (JPEG, PNG, or WebP — exact formats not documented)"],"output_types":["image (same format as input, modified according to operation)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__cap_9","uri":"capability://image.visual.video.utility.operations.with.reframing.and.temporal.editing","name":"video utility operations with reframing and temporal editing","description":"Provides video reframing utility (32 credits per second of video) for adjusting composition, aspect ratio, or temporal properties of existing videos. This is a lightweight post-processing operation complementing video generation, enabling aspect ratio conversion, composition adjustment, or temporal cropping without regenerating entire videos.","intents":["Convert videos to different aspect ratios for multi-platform distribution (16:9 to 9:16 for mobile)","Reframe videos to adjust composition or remove unwanted elements","Crop or adjust temporal properties of existing video content","Prepare generated videos for specific platform requirements"],"best_for":["Content platforms distributing videos across multiple aspect ratios","Social media teams adapting videos for different platform requirements","Developers building video post-processing pipelines","Production teams adjusting composition without re-rendering"],"limitations":["32 credits per second is expensive for long-form content (320 credits for 10-second video)","Reframing approach (cropping vs. inpainting vs. padding) not documented","No preview or quality assessment before committing credits","No batch processing; each video is individual API call","Maximum video duration and file size limits not documented"],"requires":["Valid API key for Luma Labs API","Input video file (format and size limits not documented)","32 credits per second of video"],"input_types":["video (MP4 or similar format)"],"output_types":["video (same format as input, reframed according to parameters)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"luma-labs-api__headline","uri":"capability://video.generation.photorealistic.video.generation.api","name":"photorealistic video generation api","description":"The Luma Labs API enables users to create stunning photorealistic videos from text and image prompts, featuring natural motion and cinematic camera control for various creative and commercial applications.","intents":["best video generation API","video generation API for creative projects","photorealistic video generation tools","AI video creation API","text-to-video generation solutions"],"best_for":["creatives","marketers","content creators"],"limitations":[],"requires":[],"input_types":["text prompts","image prompts"],"output_types":["video"],"categories":["video-generation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["Valid API key for Luma Labs API","Minimum 4 credits (draft mode) to 80 credits (1080p) per generation","Text prompt describing desired scene and motion","Text prompt including cinematography terminology (e.g., 'tracking shot', 'crane up', 'close-up')","Minimum 4 credits (draft) to 80 credits (1080p) per generation","Valid payment method for subscription tier","Luma Labs account with API key","Sufficient credits for desired operations","Text or image prompt for video generation","4 credits (text/image-to-video draft) or 12 credits (video-to-video draft)"],"failure_modes":["No documented maximum prompt length or complexity constraints","Generation time not specified — 'hyperfast' is marketing claim without concrete SLA","Physics simulation fidelity depends on prompt clarity; 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