faraday / headshots-starter

👨‍💼 Headshot AI - Professional Headshots with AI

Introducing Headshot AI, an open-source project from Leap AI that generates Professional AI Headshots in minutes.

How It Works

The app is powered by:

• 🚀 Leap AI for AI model training
• 🚀 Leap AI to generate headshots
• ▲ Next.js for app and landing page
• 🔋 Supabase for DB & Auth
• 📩 Resend to email user when headshots are ready
• ⭐️ Shadcn with Tailwind CSS for styles
• 🔥 Replit for 1-click app run in the browser

Just add Stripe and you have a Headshot AI SaaS in a box.

Running Locally

To create your own Headshot AI app, follow these steps:

1. Clone the repository:

git clone https://github.com/leap-ai/headshots-starter.git

2. Enter the headshots-starter directory:

cd headshots-starter

3. Install dependencies:

   For npm:

   npm install

   For yarn:

   yarn

4. Create a new Supabase project and create the tables required for the app:

   • Rename .env.local.example to .env.local and update the values for NEXT_PUBLIC_SUPABASE_URL and NEXT_PUBLIC_SUPABASE_ANON_KEY from your Supabase project's API settings

   For this starter repo we disabled Row level permissions, you can enable them as needed for your own security, in the supasbase table settings

   

   This code block defines the schema for three tables: images, models, and samples.

   For any table column with foreign_key, make sure to link it while creating the column in Supabase.

   [images]

   • id (int8)
   • modelId (int8) (foreign_key)*
   • uri (text)
   • created_at (timestamptz)

   [models] - (Make sure to enable realtime on this table)

   • id (int8)
   • name (text)
   • type (text)
   • created_at (timestamptz)
   • user_id (uuid) (foreign_key)*
   • status (text)
   • modelId (text)

   [samples]

   • id (int8)
   • uri (text)
   • modelId (int8) (foreign_key)*

5. Create a Leap AI account

   In your .env.local file:

   • Fill in your_api_key with your Leap API key
   • Fill in your-hosted-url/leap/train-webhook with https://{your-hosted-url}/leap/train-webhook
   • Fill in your-hosted-url/leap/image-webhook with https://{your-hosted-url}/leap/image-webhook
   • Fill in your-webhook-secret with

6. Create a Resend account

   • Fill in your-resend-api-key with your Resend API Key

7. Start the development server:

   For npm:

   npm run dev

   For yarn:

   yarn dev

8. Visit http://localhost:3000 in your browser to see the running app.

One-Click Deploy

Deploy the example using Vercel:

Or fork the repo and Deploy using Replit.

Additional Use-Cases

Headshot AI can be easily adapted to support many other use-cases on Leap AI including:

• AI Avatars
  • Anime
  • Portraits
  • Story Illustrations

• Pet Portraits

• Product Shots
• Food Photography

• Icons
• Style-Consistent Assets

& more!

Contributing

We welcome collaboration and appreciate your contribution to Headshot AI. If you have suggestions for improvement or significant changes in mind, feel free to open an issue!

Resources and Support

• Discord Community: Leap Discord
• Help Email: [e-mail]

License

Headshot AI is released under the MIT License.