1
Upload Portrait
Upload a clear front-facing portrait with visible forehead and hairline.
脫髮等級效果預覽
透過單圖流程快速比較不同脫髮階段，支援男性與女性分級模式。
如何使用 Hair Loss Filter
上傳照片後選擇性別與等級，幾秒內即可生成脫髮模擬結果。
2
Choose Gender And Level
Select male or female, then pick one of seven stage levels to control the simulation intensity.
3
Download Result
Download generated previews and compare different levels side by side for clearer communication.
針對分級比較優化的脫髮模擬流程
Male and female level systems
Switch between male and female presets and preview seven structured levels in each mode. This design helps users and teams compare progression with a consistent evaluation framework.
One-photo workflow
No reference hairstyle upload is required. A single portrait and a stage selection are enough to generate reliable previews, reducing friction for users and improving completion rate.
Fast visual comparison
Generate multiple stage outputs quickly to compare differences in hairline and density perception. This is useful for counseling prep, creator content, and product demos.
API-ready staged parameter
The service uses explicit level parameters (man_1 to woman_7), making backend integration and audit of generation logic straightforward for product teams.
AI 掉髮模擬 API
透過明確等級參數，整合男女分級掉髮模擬能力。
核心能力：
面向 AI 掉髮模擬情境的生產級影像生成流程。
整合方式：
採用標準 REST 請求 + 非同步任務輪詢模型，方便後端快速整合。
適用情境：
適用於創作者工具、消費型應用與企業自動化流程。
擴展能力：
針對高併發影像任務設計，回傳結構穩定且可預期。
開發支援：
完整請求與回應欄位請參考官方 API 文件。
Hair Loss Filter 常見問題
Can I simulate hair loss in women specifically?
Yes. Use female mode and choose levels woman_1 to woman_7 to preview different thinning stages for women.
What are the supported level values?
The level parameter supports man_1, man_2, man_3, man_4, man_5, man_6, man_7, woman_1, woman_2, woman_3, woman_4, woman_5, woman_6, and woman_7.
Do I need to upload a target hairstyle?
No. This product uses a level-driven simulation flow and only requires the original portrait.
Is this tool for medical diagnosis?
No. It is only for visual simulation and communication. It does not provide diagnosis or treatment recommendations.
Can this be integrated via API?
Yes. You can reuse the same task workflow and pass the level parameter directly in your API request.