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FLUX 2 PRO

每次請求:$0.08
FLUX 2 PRO 是 FLUX 2 series 中的旗艦商用模型,提供最先進的圖像生成,呈現前所未有的品質與細節。為專業與企業級應用而設計,具備卓越的提示遵從度、照片級擬真輸出,以及非凡的藝術表現能力。此模型代表 AI 圖像合成技術的最尖端水準。
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What is FLUX.2 Pro

FLUX.2-Pro is Black Forest Labs’ production-grade, closed-weight visual generative model designed for teams and products that require fast, repeatable, photorealistic image synthesis and robust multi-image editing. It is positioned as the highest-performance tier of the FLUX.2 family: engineered for minimal latency, tight prompt fidelity, and output quality suitable for advertising, product imagery, and other commercial creative workflows. The model emphasizes:

  • High-fidelity photorealism (4MP raw outputs available).
  • Multi-reference editing (Pro: up to 8 reference images via API).

What makes FLUX.2 Pro distinct

  • Production latency & throughput: hosted Pro endpoints trade model internals and runtime stacks to deliver low wall-clock time for generation and edits. Reported Replicate figures show ~6 s generation latency (9 s with an input image) on their hosted Pro endpoint.
  • High photoreal fidelity and text/typography improvements: engineered to render readable text and precise layout elements reliably — useful for UI mockups, posters, and in-ad creatives.
  • Multi-reference editing: Pro supports combining multiple reference images to preserve identity/style across outputs (Replicate’s Pro listing indicates support for up to eight reference images; the FLUX.2 family docs describe up to 10 references for some variants). Use the Pro counts when integrating with the hosted Pro endpoint.
  • Native high resolution: FLUX.2 is capable of multi-megapixel outputs (advertised up to 4MP native), while production usage often targets a 1–2MP operational envelope for cost/latency balance.

How FLUX.2-Pro compares with contemporaries

  • Nano Banana Pro (Google / internal name of a competitor) — Nano Banana Pro and FLUX.2-Pro compete closely on photoreal fidelity. Reviewers note stylistic differences (composition and color handling), and FLUX.2’s strengths in typography and multi-reference consistency are a distinguishing point.
  • Midjourney / Runway / Qwen-Image / Hunyuan Image — independent comparisons put FLUX.2 family in a competitive band: higher win-rates on launch comparisons for many text→image and editing tasks, while commercial SaaS products may still excel in certain stylistic pipelines or user tooling. Choose by the desired fidelity/latency/style trade-offs.

How to access Flux.2 pro API

Step 1: Sign Up for API Key

Log in to cometapi.com. If you are not our user yet, please register first. Sign into your CometAPI console. Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Flux.2 Flex API

Step 2: Send Requests to Flux.2 pro API

Select the “flux-2-pro ”endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience. Replace <YOUR_API_KEY> with your actual CometAPI key from your account. base url is flux generate image(https://api.cometapi.com/flux/v1/flux-2-pro)

Insert your question or request into the content field—this is what the model will respond to . Process the API response to get the generated answer.

Step 3: Retrieve and Verify Results

After generation, you can use the /flux/v1/get_result endpoint to query generated images or monitor process status.. After processing, the API responds with the task status and output data.

👇 Start Building Now Flux image generation – API Doc

FLUX 2 PRO 的功能

了解 FLUX 2 PRO 的核心能力,帮助提升性能与可用性,并改善整体体验。

FLUX 2 PRO 的定价

查看 FLUX 2 PRO 的竞争性定价,满足不同预算与使用需求,灵活方案确保随需求扩展。
Comet 价格 (USD / M Tokens)官方定价 (USD / M Tokens)折扣
每次請求:$0.08
每次請求:$0.1
-20%

FLUX 2 PRO 的示例代码与 API

FLUX.2-Pro is the highest-performance, managed tier of Black Forest Labs’ second-generation FLUX image models. It is designed for production creative workflows that demand predictable latency, consistent prompt-following and high photographic fidelity (including reliable typography, layout, and multi-reference identity preservation).

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