VisionaryAI

A powerful AI-powered image and video generation application with face swapping capabilities.

Features

• Generate high-quality images and videos using various AI models
• Face swapping capabilities that integrate your face into the generated media
• Support for multiple state-of-the-art AI models including FLUX, Zeroscope, and more
• Detailed error reporting
• Expandable architecture

Technology Stack

• Frontend: React
• Backend: Supabase Edge Functions (Deno)
• AI Integration: Replicate API
• Storage: Supabase Storage

Setup Instructions

Prerequisites

• Supabase account
• Replicate API account
• Node.js (v16+)
• Supabase CLI

Environment Variables

The following environment variables need to be set in your Supabase project:

SUPABASE_URL           # Your Supabase project URL
SUPABASE_SERVICE_ROLE_KEY  # Your Supabase service role key (keep this secret!)
REPLICATE_API_TOKEN    # Your Replicate API token

IMPORTANT: Never commit these values to your repository!

Deployment Steps

1. Clone the repository

   git clone <repository-url>
   cd VisionaryAI

2. Install dependencies for the app

   cd visionary-ai-app
   npm install

3. Set up local Supabase development

   supabase init
   supabase start

4. Deploy the Edge Function

   supabase functions deploy visualize-dream

5. Start the frontend application

   npm run dev

Usage

1. Select the generation type (image or video)
2. Choose an AI model
3. Enter a detailed prompt
4. Toggle face swap if desired and upload a face image
5. Click "Generate" and wait for the result

API Reference

Visualize Dream Function

The primary endpoint accepts POST requests with the following parameters:

{
  "generationType": "image|video",
  "modelId": "flux-schnell|zeroscope-v2-xl|etc",
  "prompt": "Your detailed prompt here",
  "enableFaceSwap": true|false,
  "imagePath": "URL to face image (required if enableFaceSwap is true)",
  "faceSwapTargetType": "image|video",
  "parameters": {
    "imageGeneration": {},
    "videoGeneration": {},
    "faceSwap": {}
  }
}

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.