Products

IP-Adapter-FaceID AI

AI-native

IP Adapter Face ID: The IP-Adapter-FaceID model, Extended IP Adapter, Generate various style images conditioned on a face with only text prompts.

ipadapterfaceid.com Source★ 793Apache-2.0Design / AI Image Generation

AI Benchmark
Desktop
Mobile
Monthly visits
8.2K
Down31.7%MoMSep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Launched
2y ago
2024-01-12 · Est.

Traffic

Monthly visitsData through Sep 2026 · Oct 2026 pending
Events2 changes

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Show HN (1 pts · 1 comments)Launch

    IP-Adapter-FaceID AI: Clone Your Face for Any Scene — Imagine, just by uploading a few photos, you can generate images of yourself in any scenario. Recently, the IP-Adapter-FaceID model has be…

    Jan 13, 2024 · 2y agoLaunch page

  • Launched on Product HuntLaunch

    Clone your face from a photo

    Jan 13, 2024 · 2y agoLaunch page

  • Launched on 阮一峰周刊投稿 (1 upvotes)Launch

    【工具自荐】IP-Adapter-FaceID AI:克隆你的脸,用于任何场景 — ## IP-Adapter-FaceID AI 最近在不少科技媒体上都看到了 IP-Adapter-FaceID 这个模型,可以通过上传照片,克隆你的脸。然后根据提示词可以生成各种各样的图片。 我试用了下,感觉效果挺不错的。做了一个网站接入了这个模型。 在线体验:https://ipadapterfaceid.com 模型地址:https://huggingface.co/h94/IP-Adapter-FaceID ## 效果 ### 自己生成的 ![image](https://ipadapterfaceid.com/IP-Adapter-FaceID-Demo-1.jpg) 这个是我在网上随便找的几张幂幂的照片,试了几个不同的…

    Jan 12, 2024 · 2y agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Ruanyf Weekly
2024-01-12Source
Show HN
2024-01-13Source
Post excerpt:
Imagine, just by uploading a few photos, you can generate images of yourself in any scenario. Recently, the IP-Adapter-FaceID model has been featured in numerous tech media outlets. It allows you to clone your face by uploading photos. Then, based on prompt words, it can generate a variety of images. I tried it out and found the results quite impressive. The

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-10-18
GitHub Stars
★ 793
Forks
58
License
Apache-2.0
Primary language
Go

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct39%
  • Organic Search33%
  • Referrals11%
  • Social6%
  • Other11%

Countries

  • United States28%
  • Germany18%
  • Thailand16%
  • India9%
  • Indonesia8%

Search

Domain authority —Domain registered 2024-01-11

KeywordMonthly volume
ipadapter2,590
ip-adapter faceid270
ip-adapter face170
ipadapter faceid comfyui90
ip-adapter-faceid60

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2024-01-13

Key pages

Weekly snapshots
ipadapterfaceid.com/ Snapshot 2026-11-04

Changes

  1. Nov 1 · 14d ago

    Adopted technology: Cloudflare Browser InsightsFeatures

    —→Cloudflare Browser Insights

  2. Nov 1 · 14d ago

    Removed technology: Snowplow AnalyticsFeatures

    Snowplow Analytics→—

Design

First-screen visual analysis & :root CSS

Minimal Monochrome (Light canvas, airy density) featuring centered headline + cta layout and pure typography & geometry visuals.

First-screen preview · click to zoom

First-screen pitch & conversion flow

“IP Adapter Face ID: The IP-Adapter-Face ID model, Extended IP Adapter, Generate various style images conditioned on a face with only text prompts.”

Centered Headline + CTA hero structure paired with start free / sign up CTA and no explicit trust bar.

Conversion path: Centered Headline + CTA + Pure Typography & Geometry → Start Free / Sign Up

  • Category Positioning Anchor

Palette · click to copy

5-D design score6.5 / 10
Typography
7.0
Color & Contrast
7.0
Layout & Spacing
7.0
Craft & Polish
6.0
Distinctiveness
5.0

Structure

Fonts
Arial
Primary visual
Pure Typography & Geometry
Conversion CTA
Start Free / Sign Up
Social proof
No Explicit Trust Bar
Navigation
Full-Width Top Bar
Theme & density
Light · Airy
Corners & depth
Small Radius · Hairline borders
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Minimal Monochrome

Monochrome palette with a single accent color, hairline dividers, and generous whitespace.

## Design Tokens

```css
:root {
  --background: #ffffff;
  --surface: #e8f0ff;
  --foreground: #292929;
  --muted-foreground: #686868;
  --accent: #3978e8;
  --radius: 4px;
  --font-heading: "Arial", ui-sans-serif, system-ui, sans-serif;
  --font-body: "Arial", ui-sans-serif, system-ui, sans-serif;
}
```

Color area ratio: Background #FFFFFF (~87%) · Surface #E8F0FF (~5%) · Text #292929 (~5%) · Muted Text #686868 (~2%) · Accent #3978E8 (~1%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.

## Layout & Conversion Structure

- Hero layout: Centered Headline + CTA
- Navigation: Full-Width Top Bar
- Theme & density: Light · Airy
- Border radius & elevation: Small Radius; no drop shadows—separate layers with hairline borders and whitespace
- Primary visual medium: Pure Typography & Geometry
- Conversion CTA: Start Free / Sign Up
- Headline hook: Category Positioning Anchor
- Spatial layout notes: Centered Headline + CTA hero structure paired with start free / sign up CTA and no explicit trust bar.
- Visual summary: Minimal Monochrome (Light canvas, airy density) featuring centered headline + cta layout and pure typography & geometry visuals.

## Avoid

- Multi-stop neon gradients
- Heavy drop shadows
- More than one competing accent color

Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.

Questions & evidence

How much website traffic does IP-Adapter-FaceID AI get?
Vaneform estimates 8.2K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is IP-Adapter-FaceID AI and what platforms does it support?
IP-Adapter-FaceID AI is catalogued under AI Image Generation: IP Adapter Face ID: The IP-Adapter-FaceID model, Extended IP Adapter, Generate various style images conditioned on a face with only text prompts.. Supported platforms: Web.
Is IP-Adapter-FaceID AI open source?
IP-Adapter-FaceID AI has a public repository (https://github.com/tencent-ailab/IP-Adapter) under the Apache-2.0 license, recording 793 GitHub stars.Source

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