
Midjourney
代替候補のひとつ
テキストから独特のビジュアルスタイルで見事な芸術的な画像を生成します。
Frontier image and multimodal models available through an API, playground, and open-weight licenses
FLUX from Black Forest Labs is a family of frontier image and multimodal models, including FLUX 3 and FLUX.2. It is available through a pay-as-you-go API, a playground, and open-weight releases that teams can license for self-hosted deployment.
更新日
2026-10-21
対応プラットフォーム
Web
有料
Paid: FLUX API is pay-as-you-go with no subscriptions or seat fees; the pricing page shows rates such as $0.048 per image for FLUX 3 Image at 768×768, with model and resolution affecting price. Commercial open-weight use requires a Builder, Platform, Professional, or Enterprise license; no free tier is listed on the pricing page. Confirm current rates and license terms on the official site.
* 料金は参考情報です。最新の料金は公式サイトをご確認ください
Generate photoreal images, infographics, and complex typography at resolutions up to 4MP.
Edit images with up to 10 reference images while preserving character, product, and style consistency.
Start in the FLUX playground or send production workloads through the API.
Download FLUX weights and deploy on your own infrastructure under a commercial license.
Use the FLUX API for production image generation and editing without hosting models.
Download FLUX weights and run them on their own infrastructure under a commercial license.
Use multi-reference support and text rendering for product, campaign, and brand-consistent visuals.
クイックスタート
Call the API from a single server-side key and generate one image with a fixed seed and size first, so you have a reproducible baseline before wiring it into product UI.
Test text rendering and multi-reference editing with real content early: these decide whether a prompt-only setup is enough for your product.
Decide hosting after that baseline: the hosted API covers most features, while self-hosted weights add GPUs, scaling, and licensing work.
実践のコツ
Make model version, seed, and size part of the request record, not loose settings. When output drifts after a model update, logged requests let you diff old against new; without them you cannot tell a prompt change from a model change. Reserve self-hosted weights for volume or data-residency needs, because GPU operations usually cost more than the API at low traffic.
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