Upload a clear front-facing portrait with visible jawline and chin area.
Beard Filter プレビュー
Try beard transformations from one portrait input. Switch between preset beard styles and reference template mode to test multiple looks quickly.







ひげシミュレーターの使い方
Upload your portrait, choose mode, and generate result. The process is optimized for fast style comparison and repeatable output.
Select predefined beard style mode or reference-template mode. Each mode uses a different backend parameter path.
Generate and download beard simulation results for styling tests and consultation use.
2モード対応のひげ生成フロー
Predefined beard style selection
Pick from structured beard parameters such as FullBeardClassic, VanDyke, Balbo, CircleBeard, and PetiteGoatee. This mode is ideal for standardized comparisons.

Reference image template mode
Upload your own beard template image when you need a custom direction. The system sends image_template_url and applies a template-guided transformation.

Mutually exclusive parameter logic
The product enforces a clean two-path input rule: either beard parameter mode or template-image mode, helping teams maintain predictable request semantics.

API-ready portrait workflow
The same workflow is easy to integrate into apps, creator tools, and consultation systems, with straightforward payload construction and stable async behavior.

AIひげスタイリングAPI
ひげシミュレーションは、定義済みパラメータ方式とテンプレート画像方式の2ルートに対応。
AIひげスタイリング向けの本番運用対応画像生成ワークフロー。
バックエンド連携向けの標準RESTリクエスト + 非同期タスクポーリングモデル。
クリエイターツール、一般向けアプリ、エンタープライズ自動化フローに適しています。
高同時実行の画像タスク向けに、予測しやすいレスポンス構造で設計されています。
リクエスト/レスポンスの詳細は公式APIドキュメントをご確認ください。
Beard Filter よくある質問
Can I use predefined beard styles only?
Yes. Switch to preset mode and choose a predefined beard parameter such as Goatee, VanDyke, or MuttonChops.
Can I upload my own beard reference image?
Yes. Template mode allows custom reference upload and sends image_template_url to the backend.
Should I send beard and image_template_url together?
No. Use one mode only. The product is designed as a strict either-or input flow.
What image quality is recommended?
Use a high-resolution front-facing portrait with visible chin and jaw area for more stable beard rendering.
Is API integration supported?
Yes. You can reuse the same product flow through API in apps, dashboards, and SaaS tools.





