- Text Generation
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FLUX.2 Pro
- Text Generation
FLUX.2 Pro is a professional-grade image generation and editing model from Black Forest Labs, optimized for photorealistic quality, strong prompt adherence, and reliable production use. It supports high-resolution text-to-image and image-editing workflows with advanced multi-reference capabilities.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
What is FLUX.2 Pro?
FLUX.2 Pro is a state-of-the-art text-to-image and image-editing model developed by Black Forest Labs for high-fidelity, production-ready visual generation. It is primarily used to create photorealistic images from textual prompts with accurate lighting, spatial coherence, and detailed textures, suitable for commercial content, design mockups, and marketing visuals. It is also widely used for editing and combining existing images using natural language instructions, including multi-image referencing to maintain consistent characters, styles, and branding across assets. FLUX.2 Pro belongs to the FLUX.2 family of image-generation models from Black Forest Labs, alongside variants such as FLUX.2 Dev, Flex, Max, and Klein.
Model capabilities
5 Core Capabilities
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Text-to-image generation
Generates high-quality, photorealistic or stylized images from natural language prompts, optimized for production use and reliability.
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Image-based editing
Edits existing images using text prompts and references, enabling subject replacement, style transfer, and targeted adjustments without fine-tuning.
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Multi-reference control
Uses multiple reference images to maintain character identity, visual style, and product consistency across generated or edited images.
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Prompt understanding
Interprets detailed prompts, including layout and typography instructions, to produce images closely aligned with user intent.
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Brand-accurate rendering
Produces brand-consistent visuals with reliable text rendering and exact color reproduction, supporting marketing and commercial design workflows.
Use cases
6 Most Valuable Use Cases
- Photorealistic Image Generation
- Brand Visual Asset Creation
- Marketing Campaign Imagery
- UI Mockups With Text
- Product Photo Variations
- Multi-image Style Transfer
Transparent pricing
Cost Comparison
LLM API offers the lowest image generation cost and latency for FLUX.2 Pro–class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 150ms | ~120 img/min | 99.99% | $0.001/img | $0.001/img | ~4 img/request |
| Black Forest Labs (Direct) | EU West | ~450ms | ~40 img/min | ~99.9% | ~$0.010/img | ~$0.010/img | ~4 img/request |
| Replicate | US East | ~600ms | ~30 img/min | ~99.5% | ~$0.015/img | ~$0.015/img | ~4 img/request |
| Together AI | US West | ~350ms | ~70 img/min | ~99.9% | ~$0.008/img | ~$0.008/img | ~4 img/request |
| Fireworks AI | Global | ~320ms | ~80 img/min | ~99.9% | ~$0.007/img | ~$0.007/img | ~4 img/request |
Performance benchmarks
Technical Specifications
| Metric | FLUX.2 Pro (Black Forest Labs) | DALL·E 3 (OpenAI) | Midjourney v6 |
|---|---|---|---|
| Latency per Image | ~8s | ~10s | ~12s |
| Throughput | ~45 img/min | ~40 img/min | ~35 img/min |
| Max Resolution | 2048×2048 | 2048×2048 | 2048×2048 |
| Price per Image | ~$0.04 | ~$0.04 | ~$0.04 |
| Supported Formats | PNG, JPG | PNG, JPG | PNG, JPG |
| Uptime | ~99.9% | ~99.9% | ~99.5% |
30-day usage via LLM API
- 3.8B
- Prompt tokens processed (30 days)
- 11.5M
- API requests served (30 days)
- 2.9B
- Images generated tokens equivalent (30 days)
- 99.8%
- Avg API uptime (30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
-
Unified AI Routing
Automatically route each request to the best model across providers based on latency, cost, and quality—no client changes required.
One endpoint, any model -
Cost-Aware Orchestration
Define policies to balance quality and price, automatically shifting traffic to cheaper equivalents while keeping performance and SLAs intact.
Cut spend, keep quality -
Resilient Fallback Flows
Keep your app online with provider-agnostic fallback chains that automatically retry on errors, rate limits, and regional outages.
Failure-tolerant by design -
End-to-End Observability
Trace every call across models and providers with metrics, logs, and structured events ready for your existing monitoring stack.
See every token -
Task-Level Abstractions
Describe work as tasks—chat, tools, rerank, embeddings—and let LLM.API pick and orchestrate the right models behind a stable API.
Think tasks, not models -
High-Throughput Batch
Ship massive workloads efficiently with batch endpoints that parallelize requests, optimize provider limits, and simplify offline processing.
Millions of calls, one job
Decision guide
When to Use — When NOT to Use
Use it if...
- You need high-quality, general-purpose image generation with strong composition and aesthetics.
- Your use case involves marketing, branding, or ad creatives needing polished, stylized visuals.
- You need to rapidly iterate on visual concepts from short or natural language prompts.
- Your use case involves generating illustrative art for websites, apps, or presentation materials.
- You need a versatile image generator suitable for diverse subjects, moods, and visual styles.
- Your use case involves designers or non-experts prompting a model for concept art exploration.
Avoid if...
- You need text, code, or data processing rather than image generation capabilities.
- Your workload requires strict control over detailed on-image text layout or typography.
- You need guaranteed reproducible outputs with deterministic seeds across framework or version changes.
- Your workload requires domain-specific medical, scientific, or safety-critical visual analysis.
- You need video generation, animation, or multi-frame storyboards from a single prompt.
- Your workload requires fully on-premises deployment with no external or managed dependencies.
FAQ
Frequently Asked Questions
-
What is FLUX.2 Pro?
FLUX.2 Pro is an advanced image generation model from Black Forest Labs focused on high-fidelity, photorealistic, and stylized visuals for production use.
-
What is FLUX.2 Pro best suited for?
FLUX.2 Pro is best for high-quality image synthesis, creative concept art, product visuals, and detailed scene rendering where visual fidelity matters.
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What modalities does FLUX.2 Pro support?
FLUX.2 Pro is image-generation-only, taking text prompts as input and producing images as output.
-
How do I access FLUX.2 Pro through LLM.API?
Call the LLM.API image generation endpoint with provider "black-forest-labs" and model "flux.2-pro", passing your prompt and image generation parameters.
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What is the context window of FLUX.2 Pro?
FLUX.2 Pro does not use a token context window; it consumes text prompts for image generation rather than long conversational context.
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How is FLUX.2 Pro priced on LLM.API?
Pricing for FLUX.2 Pro on LLM.API is per generated image or compute unit and is defined by LLM.API’s unified billing, not directly by Black Forest Labs.
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How fast is FLUX.2 Pro on LLM.API?
Typical inference latency is several seconds per image on LLM.API, varying with resolution, complexity, and concurrency.
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How does FLUX.2 Pro compare to other image models?
Compared to many diffusion models, FLUX.2 Pro emphasizes photorealism, coherent structure, and style control, often at higher visual quality but similar latency.
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What are key limitations of FLUX.2 Pro?
FLUX.2 Pro may struggle with precise text rendering in images, exact small details, and can occasionally produce artifacts or inaccurate compositions.
-
Can I use FLUX.2 Pro for real-time applications?
It is generally suitable for interactive but not strict real-time use, since image generation usually takes seconds rather than milliseconds.
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