{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"flux-api-black-forest-labs","slug":"flux-api-black-forest-labs","name":"Flux API (Black Forest Labs)","type":"api","url":"https://blackforestlabs.ai","page_url":"https://unfragile.ai/flux-api-black-forest-labs","categories":["image-generation","testing-quality"],"tags":[],"pricing":{"model":"usage","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"flux-api-black-forest-labs__cap_0","uri":"capability://image.visual.photorealistic.text.to.image.generation.with.multi.model.variants","name":"photorealistic text-to-image generation with multi-model variants","description":"Generates photorealistic images from natural language prompts using three distinct model architectures (FLUX.2 [klein] 4B/9B for speed, [flex] for balance, [pro] for quality, [max] for 4MP resolution) optimized across different latency/quality tradeoffs. Each variant uses diffusion-based synthesis with prompt embedding and latent space conditioning, enabling sub-second to multi-second inference depending on model selection and output resolution.","intents":["I need to generate product photography mockups at scale without hiring photographers","I want fast image generation for real-time interactive applications with acceptable quality","I need photorealistic output for marketing materials that adheres closely to detailed prompts","I'm building an image generation feature and need to choose between speed and quality"],"best_for":["product teams building image generation features into SaaS applications","marketing teams creating on-demand visual content at scale","developers prototyping generative AI products with tight latency budgets","enterprises requiring photorealistic output with high prompt adherence"],"limitations":["FLUX.2 [klein] 4B requires capable hardware for sub-second inference; performance degrades on CPU-only systems","Maximum output resolution capped at 4MP for [max] variant; larger dimensions require multiple generations or external upscaling","Prompt length constraints unknown; very long or complex prompts may degrade adherence","No built-in image variation/seed control documented; reproducibility requires external state management","Content policy restrictions unknown; potential rejection of certain prompt categories without clear error messaging"],"requires":["API key from Black Forest Labs or integration partner (Replicate, Together AI, fal.ai)","HTTP client capable of multipart form data for image uploads (if using multi-reference control)","Minimum 2GB VRAM for local [klein] execution; cloud API requires only network connectivity","Understanding of diffusion model prompt engineering for optimal results"],"input_types":["text (natural language prompt)","image (optional, for multi-reference control; up to 10 images supported)"],"output_types":["image (PNG or JPEG format, configurable width/height in pixels, up to 4MP)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_1","uri":"capability://image.visual.multi.reference.image.control.with.style.and.content.transfer","name":"multi-reference image control with style and content transfer","description":"Conditions image generation on multiple input images (up to 10) to enable style transfer, object replacement, pattern matching, and attribute modification. The API accepts reference images alongside text prompts and uses cross-image attention mechanisms to enforce visual consistency across generated output, allowing developers to specify 'generate image 1 in the style of image 2' or 'replace object A with object B' through natural language prompts.","intents":["I need to generate product variations maintaining consistent style across a catalog","I want to transfer the art style from one image to a completely different subject","I need to replace specific objects in a scene while maintaining photorealism and context","I'm building a design tool where users can blend aesthetics from multiple reference images"],"best_for":["e-commerce platforms generating product variations and lifestyle shots","design agencies automating style-consistent content creation","creative tools and design applications requiring multi-image conditioning","marketing teams creating cohesive visual campaigns with consistent aesthetics"],"limitations":["Maximum 10 input images per request; no documented guidance on optimal number for quality","Image format and size constraints unknown; potential failures with incompatible formats or extreme aspect ratios","Prompt must explicitly describe the relationship between reference images; implicit style transfer may fail","No control over which reference image dominates the output; weighting mechanism not exposed","Latency increases with number of reference images; exact scaling factor unknown"],"requires":["API key from Black Forest Labs or integration partner","Ability to upload/host reference images (up to 10 per request)","Clear natural language prompts describing the relationship between reference images","Understanding of how to phrase style transfer and object replacement requests for optimal results"],"input_types":["text (natural language prompt describing the transformation)","image (1-10 reference images for style/content conditioning)"],"output_types":["image (generated output conditioned on all reference images)"],"categories":["image-visual","generative-ai"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_2","uri":"capability://image.visual.configurable.output.resolution.with.dynamic.pricing","name":"configurable output resolution with dynamic pricing","description":"Allows developers to specify output image dimensions (width and height in pixels) up to 4MP maximum, with pricing calculated dynamically based on resolution, model variant, and number of input images. The pricing calculator exposes resolution as a first-class variable, enabling cost-aware generation strategies where developers can trade resolution for cost or batch low-resolution previews before generating high-resolution finals.","intents":["I need to generate thumbnails cheaply for previews before committing to high-resolution generation","I want to understand the cost impact of different output resolutions before building my feature","I need to optimize generation costs by choosing the minimum resolution that meets my quality requirements","I'm building a tiered product where free users get lower resolution and paid users get 4MP output"],"best_for":["cost-conscious startups optimizing generation budgets","SaaS platforms implementing tiered feature access based on resolution","developers building preview-then-generate workflows","teams with variable resolution requirements (thumbnails, social media, print)"],"limitations":["Pricing structure not documented in provided material; exact cost per megapixel unknown","Maximum 4MP limit may be insufficient for large-format print or billboard applications","No bulk pricing or volume discounts documented","Resolution must be specified per-request; no default or preset configurations exposed","Aspect ratio constraints unknown; potential failures with extreme aspect ratios"],"requires":["API key from Black Forest Labs or integration partner","Access to pricing calculator or pricing API endpoint (not documented)","Ability to calculate costs before generation or implement cost estimation logic","Understanding of resolution requirements for your use case"],"input_types":["integer (width in pixels)","integer (height in pixels)"],"output_types":["image (PNG or JPEG, specified dimensions, up to 4MP)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_3","uri":"capability://image.visual.locally.executable.and.fine.tunable.model.variant.flux.2.klein","name":"locally executable and fine-tunable model variant (flux.2 [klein])","description":"FLUX.2 [klein] 4B and 9B variants can be executed locally on capable hardware (minimum 2GB VRAM) without cloud API calls, and support fine-tuning on custom datasets. This enables developers to run inference with sub-second latency, maintain data privacy, and customize the model for domain-specific image generation (e.g., product photography, architectural rendering) through gradient-based fine-tuning on proprietary datasets.","intents":["I need to run image generation on-device without sending data to external APIs for privacy/compliance","I want to fine-tune the model on my product catalog to generate on-brand variations","I need sub-second inference latency for real-time interactive applications","I'm building an offline-capable image generation feature that works without internet connectivity"],"best_for":["enterprises with strict data privacy requirements (healthcare, finance, government)","developers building real-time interactive applications with latency constraints","teams with proprietary datasets wanting to customize model behavior","edge computing and on-device AI applications"],"limitations":["Requires capable hardware (minimum 2GB VRAM); performance degrades significantly on CPU-only systems","Fine-tuning process not documented; no guidance on dataset size, training time, or convergence criteria","No distributed inference support documented; single-GPU limitation may bottleneck high-throughput applications","Model weights and fine-tuning code availability unknown; may require direct download or special licensing","No built-in monitoring or observability for local deployments"],"requires":["GPU with minimum 2GB VRAM (NVIDIA, AMD, or Apple Silicon)","Python 3.9+ with PyTorch or equivalent deep learning framework","Model weights download (size and format unknown)","Fine-tuning dataset (format and minimum size unknown)","Understanding of gradient-based model fine-tuning"],"input_types":["text (natural language prompt)","image (optional, for multi-reference control)"],"output_types":["image (PNG or JPEG, configurable dimensions)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_4","uri":"capability://tool.use.integration.multi.provider.api.integration.replicate.together.ai.fal.ai","name":"multi-provider api integration (replicate, together ai, fal.ai)","description":"FLUX models are accessible through three third-party API platforms (Replicate, Together AI, fal.ai) in addition to direct Black Forest Labs API, allowing developers to choose their preferred integration point based on existing infrastructure, pricing, or feature set. Each provider abstracts the underlying FLUX API with their own SDKs, authentication, and billing systems, enabling vendor flexibility without code changes.","intents":["I already use Replicate for other models and want to add FLUX without switching providers","I need to compare pricing and latency across multiple providers before committing","I want to implement provider failover for reliability without rewriting integration code","I'm evaluating which platform has the best developer experience for my use case"],"best_for":["developers already invested in Replicate, Together AI, or fal.ai ecosystems","teams building multi-model applications requiring provider flexibility","enterprises implementing redundancy and failover strategies","developers evaluating multiple providers before architectural commitment"],"limitations":["Each provider has different authentication, rate limiting, and error handling; no unified interface","Pricing varies across providers; no guarantee of cost parity","Feature parity unknown; some providers may not support all FLUX variants or multi-reference control","Latency and reliability vary by provider; no SLA comparison documented","Switching providers requires code changes to authentication and request formatting"],"requires":["API key from chosen provider (Replicate, Together AI, or fal.ai)","SDK or HTTP client for selected provider","Understanding of provider-specific authentication and request formats","Familiarity with provider's error handling and rate limiting policies"],"input_types":["text (natural language prompt)","image (optional, for multi-reference control)"],"output_types":["image (format and delivery method varies by provider)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_5","uri":"capability://image.visual.free.tier.image.generation.with.undocumented.limits","name":"free tier image generation with undocumented limits","description":"Black Forest Labs offers a free tier ('Try FLUX.2 for free') accessible through the web dashboard, allowing developers to test image generation without payment. The free tier limits are not documented in provided material, but likely include restrictions on generation count, resolution, or model variant access. This enables low-friction evaluation before committing to paid API usage.","intents":["I want to test FLUX image quality before integrating into my application","I need to evaluate prompt adherence and photorealism without upfront cost","I'm prototyping an image generation feature and need free quota for development","I want to compare FLUX quality against other models before choosing a provider"],"best_for":["individual developers and hobbyists evaluating the model","startups prototyping MVP features with limited budgets","teams comparing multiple image generation models","students and researchers exploring generative AI"],"limitations":["Free tier limits not documented; unclear if limited by generation count, resolution, or model variant","No documentation of quota reset frequency (daily, monthly, or one-time)","Unclear if free tier supports all features (multi-reference control, fine-tuning, local execution)","No SLA or uptime guarantee for free tier; may be deprioritized during high load","Potential rate limiting or quality degradation on free tier not documented"],"requires":["Black Forest Labs account (signup process not documented)","Web browser access to dashboard","No API key required for web dashboard (direct API key requirements unknown)"],"input_types":["text (natural language prompt)","image (optional, for multi-reference control)"],"output_types":["image (format and resolution unknown)"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_6","uri":"capability://image.visual.series.b.backed.infrastructure.with.sub.second.inference.optimization","name":"series b-backed infrastructure with sub-second inference optimization","description":"Black Forest Labs (Series B funded, $300M) has optimized FLUX.2 [klein] for sub-second inference through architectural innovations in latent space analysis and diffusion scheduling. The infrastructure is designed for production-scale deployment with multiple model variants optimized across different hardware targets (consumer GPU, enterprise GPU, CPU), enabling developers to choose the right model for their latency and quality requirements.","intents":["I need production-grade image generation infrastructure with SLA guarantees","I want sub-second inference for real-time interactive applications","I need to understand the latency/quality tradeoff across different model variants","I'm evaluating whether FLUX can meet my application's latency requirements"],"best_for":["enterprises requiring production-grade image generation with SLA guarantees","real-time interactive applications with strict latency budgets (<1 second)","teams building image generation features at scale","developers optimizing for specific hardware targets (consumer GPU, enterprise, CPU)"],"limitations":["Sub-second latency only guaranteed for [klein] variant on capable hardware; other variants latency unknown","SLA and uptime guarantees not documented; no published reliability metrics","Infrastructure scaling and geographic distribution unknown; potential latency variation by region","No documented auto-scaling behavior during peak load; potential degradation during high demand","Cold start latency unknown; potential delays on first request after idle period"],"requires":["API key from Black Forest Labs or integration partner","Understanding of which model variant meets your latency requirements","Capable hardware for local [klein] execution (if using on-device variant)","Monitoring and observability infrastructure for production deployment"],"input_types":["text (natural language prompt)","image (optional, for multi-reference control)"],"output_types":["image (configurable resolution)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_7","uri":"capability://image.visual.flux.2.klein.sub.second.inference.optimization.for.real.time.applications","name":"flux.2 [klein] sub-second inference optimization for real-time applications","description":"FLUX.2 [klein] is a lightweight model variant optimized for sub-second inference latency on capable hardware, enabling real-time or near-real-time image generation in interactive applications. Implementation uses architectural optimizations (likely reduced model size, quantization, or inference acceleration) to achieve sub-second generation time. Positioning emphasizes speed over maximum quality, making it suitable for latency-sensitive use cases where instant feedback is critical.","intents":["Generate images in real-time chat or interactive applications with sub-second latency","Build image generation features into user-facing products where latency directly impacts UX","Minimize API costs by using the fastest, likely cheapest variant for non-critical image generation","Enable iterative image generation workflows where users rapidly refine prompts and see results instantly"],"best_for":["Real-time applications (chat, interactive design tools, creative assistants)","Cost-sensitive developers prioritizing speed over maximum quality","Teams building user-facing image generation features where latency impacts engagement"],"limitations":["Sub-second latency claim not independently verified; actual latency depends on hardware and network","Output quality likely lower than Pro/Dev variants due to model size reduction","Maximum output resolution unknown; likely lower than FLUX.2 [max] (4MP)","No documentation of actual model size, parameter count, or inference hardware requirements","Sub-second claim may apply only to 'capable hardware' — unclear what hardware is required"],"requires":["API key","Text prompt","Model variant selection: 'FLUX.2 [klein]' or similar identifier"],"input_types":["text (prompt)"],"output_types":["image (lower resolution than [max], likely)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_8","uri":"capability://image.visual.flux.2.max.production.grade.4mp.photorealistic.output.for.high.fidelity.applications","name":"flux.2 [max] production-grade 4mp photorealistic output for high-fidelity applications","description":"FLUX.2 [max] is a production-grade model variant optimized for maximum output quality and resolution, supporting up to 4MP (megapixel) photorealistic image generation. Implementation prioritizes visual fidelity and detail over inference speed, using full-capacity model architecture and inference optimizations for quality. Positioning targets professional use cases (product photography, marketing, design) where image quality directly impacts business outcomes.","intents":["Generate high-resolution product images for e-commerce with photorealistic quality and fine detail","Create marketing and promotional imagery that competes with professional photography","Produce design mockups and concept art with maximum visual fidelity for client presentations","Generate print-ready images at high resolution without upscaling artifacts"],"best_for":["E-commerce and product photography teams replacing or augmenting professional photography","Marketing and creative agencies generating high-quality promotional imagery","Design and architecture firms creating photorealistic concept visualizations"],"limitations":["Inference latency unknown; likely significantly slower than [klein] due to larger model","4MP maximum resolution may be insufficient for very large-format print (e.g., billboards)","Pricing likely higher than other variants due to increased compute requirements","No documentation of actual inference time or hardware requirements","Multi-reference conditioning support confirmed for [max] but unclear for other variants"],"requires":["API key","Text prompt","Model variant selection: 'FLUX.2 [max]'","Output dimensions up to 4MP (specific pixel limits unknown)"],"input_types":["text (prompt)","image (up to 10 reference images for multi-reference conditioning)"],"output_types":["image (up to 4MP resolution)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__cap_9","uri":"capability://image.visual.prompt.adherence.optimization.for.accurate.visual.interpretation","name":"prompt-adherence optimization for accurate visual interpretation","description":"Flux models are positioned as having strong 'prompt adherence,' meaning they accurately interpret and render text prompts into visuals that closely match the described intent. Implementation uses training techniques (likely RLHF, instruction tuning, or similar) to align model outputs with user intent as expressed in natural language. This is a qualitative capability rather than a quantifiable metric, but it's emphasized as a key differentiator in marketing materials.","intents":["Generate images that accurately match detailed textual descriptions without requiring prompt engineering","Reduce iteration cycles by getting closer to desired output on first attempt","Build image generation features where users expect their prompts to be interpreted literally","Create complex scenes with multiple objects and attributes specified in natural language"],"best_for":["Developers building user-facing image generation features where prompt accuracy impacts satisfaction","Teams generating images from detailed specifications without manual refinement","Non-technical users who expect natural language prompts to work without engineering"],"limitations":["Prompt adherence is qualitative and not independently verified; claims are marketing-based","No metrics provided for measuring or comparing prompt adherence vs. competitors","Complex or ambiguous prompts may still produce unexpected results","Prompt adherence may vary by model variant (unknown if [klein] has same adherence as [max])","No documentation of prompt length limits or edge cases where adherence breaks down"],"requires":["API key","Natural language text prompt"],"input_types":["text (natural language prompt)"],"output_types":["image (output matching prompt intent)"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"flux-api-black-forest-labs__headline","uri":"capability://image.visual.photorealistic.image.generation.api","name":"photorealistic image generation api","description":"The Flux API from Black Forest Labs specializes in generating high-quality, photorealistic images from textual prompts, known for its speed and adherence to prompts.","intents":["best photorealistic image generation API","image generation API for creative projects","top APIs for generating images from text","fast image generation API comparison","high-quality image generation tools"],"best_for":["developers seeking high-quality image generation","artists looking for rapid prototyping of visuals"],"limitations":[],"requires":[],"input_types":["text prompts"],"output_types":["images"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":59,"verified":false,"data_access_risk":"high","permissions":["API key from Black Forest Labs or integration partner (Replicate, Together AI, fal.ai)","HTTP client capable of multipart form data for image uploads (if using multi-reference control)","Minimum 2GB VRAM for local [klein] execution; cloud API requires only network connectivity","Understanding of diffusion model prompt engineering for optimal results","API key from Black Forest Labs or integration partner","Ability to upload/host reference images (up to 10 per request)","Clear natural language prompts describing the relationship between reference images","Understanding of how to phrase style transfer and object replacement requests for optimal results","Access to pricing calculator or pricing API endpoint (not documented)","Ability to calculate costs before generation or implement cost estimation logic"],"failure_modes":["FLUX.2 [klein] 4B requires capable hardware for sub-second inference; performance degrades on CPU-only systems","Maximum output resolution capped at 4MP for [max] variant; larger dimensions require multiple generations or external upscaling","Prompt length constraints unknown; very long or complex prompts may degrade adherence","No built-in image variation/seed control documented; reproducibility requires external state management","Content policy restrictions unknown; potential rejection of certain prompt categories without clear error messaging","Maximum 10 input images per request; no documented guidance on optimal number for quality","Image format and size constraints unknown; potential failures with incompatible formats or extreme aspect ratios","Prompt must explicitly describe the relationship between reference images; implicit style transfer may fail","No control over which reference image dominates the output; weighting mechanism not exposed","Latency increases with number of reference images; exact scaling factor unknown","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":null,"last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=flux-api-black-forest-labs","compare_url":"https://unfragile.ai/compare?artifact=flux-api-black-forest-labs"}},"signature":"GVeyQsMyQpSUhvFpfWa9MrFHiuML7qk/O7GkMWVQG3fx7XGVZznq87zNGW038S3yFOzSleAnpwdRbzHW7uo5DQ==","signedAt":"2026-06-21T16:13:54.076Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/flux-api-black-forest-labs","artifact":"https://unfragile.ai/flux-api-black-forest-labs","verify":"https://unfragile.ai/api/v1/verify?slug=flux-api-black-forest-labs","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"}}