AI-Influencer-Automation

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AI-Influencer-Automation

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A fully automated system to create and manage an AI-generated influencer, posting daily to Instagram using free tools. This project generates images with Fooocus, applies consistent face swapping with Roop, automates Instagram posts with instagrapi, and supports monetization via Fanvue’s free tier. Manage everything in Visual Studio Code (VS Code).

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# AI Influencer Bot

An automated pipeline for creating an AI-generated Instagram influencer, featuring image generation, face swapping, and scheduled posting.

## Table of Contents
- [Features](#features)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Setup](#setup)
- [Usage](#usage)
- [Maintenance](#maintenance)
- [Troubleshooting](#troubleshooting)
- [Notes](#notes)
- [Contributing](#contributing)
- [License](#license)
- [Resources](#resources)

## Features

- **Image Generation**: Generate realistic images using [Fooocus](https://github.com/lllyasviel/Fooocus) on Google Colab (free).
- **Face Swapping**: Maintain a consistent character appearance with [Roop](https://github.com/s0md3v/roop)’s open-source face-swapping tool.
- **Automated Posting**: Schedule daily Instagram posts with [instagrapi](https://instagrapi.readthedocs.io), including dynamic captions.
- **Stock Monitoring**: Receive alerts when image stock is low, prompting regeneration.
- **Monetization**: Promote content on [Fanvue](https://fanvue.com)’s free tier (manual uploads).
- **No Videos**: Focuses solely on image-based posts for simplicity.

## Prerequisites

- **Computer**: Windows, Mac, or Linux with 8GB RAM (CPU works; NVIDIA GPU accelerates Roop).
- **Google Account**: For Google Colab and Drive (15GB free storage).
- **Instagram Account**: Free account with bio indicating “AI Influencer” or “Digital Creator”.
- **Fanvue Account**: Free account at [fanvue.com](https://fanvue.com), marked “AI Created”.
- **Python**: Version 3.8 or higher ([python.org](https://www.python.org/downloads)).
- **Git**: For version control ([git-scm.com](https://git-scm.com)).
- **VS Code**: Recommended code editor ([code.visualstudio.com](https://code.visualstudio.com)).
- **Internet**: Stable connection for Colab and Instagram.

## Installation

1. **Set Up VS Code and Python**
   - Download and install [VS Code](https://code.visualstudio.com).
   - Install [Python 3.8+](https://www.python.org/downloads):
     - **Windows**: Check “Add Python to PATH” during installation.
     - **Mac/Linux**: Follow default prompts.
   - Open VS Code, install the Python extension (search “Python” by Microsoft in Extensions).
   - Verify Python: In VS Code’s terminal (`Terminal > New Terminal`), run:
     ```bash
     python --version
     ```

2. **Create Project Directory**
   - Create a folder (e.g., `AIInfluencer`).
   - Open in VS Code: `File > Open Folder`.
   - Create subfolders:
     ```
     images/
     swapped/
     scripts/
     ```

3. **Install Git**
   - **Windows**: Download from [git-scm.com](https://git-scm.com).
   - **Mac**: Run:
     ```bash
     brew install git
     ```
     Install [Homebrew](https://brew.sh) if needed.
   - **Linux**: Run:
     ```bash
     sudo apt install git
     ```

4. **Clone Roop**
   ```bash
   cd AIInfluencer
   git clone https://github.com/s0md3v/roop
   cd roop
   pip install -r requirements.txt
   ```
   - Download `inswapper_128.onnx` from [Roop Releases](https://github.com/s0md3v/roop/releases) and place in `AIInfluencer/roop/models/`.

5. **Install Python Libraries**
   ```bash
   pip install instagrapi pillow
   ```

## Setup

### 1. Generate or Collect Images
You need ~200 images for ~6 months of daily posts.

#### Option 1: Use Existing Images
- Obtain ~200 AI-generated images with creator’s written consent (save proof, e.g., email).
- Select one high-quality face image as `base_face.png`.
- Save all images to `AIInfluencer/images/`.
- Upload to Google Drive: `/MyDrive/ai_girl/images/`.

#### Option 2: Generate Images with Fooocus
1. Open [Google Colab](https://colab.google), create a new notebook.
2. Mount Google Drive:
   ```python
   from google.colab import drive
   drive.mount('/content/drive')
   ```
3. Install Fooocus:
   ```python
   !pip install pygit2==1.12.2
   !git clone https://github.com/lllyasviel/Fooocus.git
   %cd Fooocus
   !python entry_with_update.py --share
   ```
   Run (~5-10 minutes), click the `*.gradio.app` URL.
4. Generate prompts:
   ```python
   import random
   import os

outfits = ["light blue dress", "casual jeans and t-shirt", "red bikini", "black workout gear", "white summer dress", "floral skirt", "leather jacket", "pink sweater"]
   locations = ["sunny beach", "city park", "cozy cafe", "gym", "urban rooftop", "mountain trail", "night market", "flower garden"]
   poses = ["standing confidently", "sitting casually", "walking dynamically", "posing playfully", "smiling warmly"]

output_dir = "/content/drive/MyDrive/ai_girl/images"
   os.makedirs(output_dir, exist_ok=True)

existing_images = [f for f in os.listdir(output_dir) if f.endswith('.png') and f != 'base_face.png']
   prompts = []
   for i in range(200 - len(existing_images)):
       outfit = random.choice(outfits)
       location = random.choice(locations)
       pose = random.choice(poses)
       prompt = f"A 22-year-old woman, blue eyes, long brown hair, wearing {outfit}, {pose} in a {location}, sunny day, realistic, ultra-detailed, full-body shot"
       prompts.append(prompt)
       print(f"Prompt {i+1}: {prompt}")
   ```
5. In Fooocus’s web interface:
   - Copy each prompt, set Style=Photograph, Quality=High, Upscale=2x.
   - Save images to `/MyDrive/ai_girl/images/` (~2-3 hours).
6. Download to `AIInfluencer/images/`.

### 2. Face Swap with Roop
1. Create `AIInfluencer/scripts/face_swap.py`:
   ```python
   import os
   import subprocess

input_dir = "../images/"
   output_dir = "../swapped/"
   base_face = "../images/base_face.png"
   os.makedirs(output_dir, exist_ok=True)

for img in os.listdir(input_dir):
       if img.endswith(".png") and img != "base_face.png":
           input_path = os.path.join(input_dir, img)
           output_path = os.path.join(output_dir, f"swapped_{img}")
           subprocess.run([
               "python", "../roop/run.py",
               "--target", input_path,
               "--source", base_face,
               "--output", output_path
           ])
           print(f"Swapped face for {img}")
   ```
2. Run:
   ```bash
   cd scripts
   python face_swap.py
   ```
   Takes ~2-3 hours for 200 images.

### 3. Configure Instagram Posting
1. Create `AIInfluencer/scripts/post_to_instagram.py`:
   ```python
   import os
   import random
   from instagrapi import Client
   import datetime

USERNAME = "your_instagram_username"
   PASSWORD = "your_instagram_password"

IMAGE_DIR = "../swapped/"
   CAPTIONS = [
       "Living the digital dream 🌟 #AIInfluencer #DigitalCreator",
       "Virtual vibes only! 💖 #AIGirl #Fanvue",
       "Join my Fanvue for more! Link in bio ✨ #AIModel",
       "Spreading joy in the digital world 😊 #AIInfluencer",
       "Chasing virtual sunsets 🌅 #AIGirl #DigitalLife",
   ]

def login_instagram():
       cl = Client()
       try:
           cl.login(USERNAME, PASSWORD)
       except Exception as e:
           print(f"Login failed: {e}")
           exit(1)
       return cl

def check_stock():
       images = [f for f in os.listdir(IMAGE_DIR) if f.endswith('.png')]
       if len(images) < 10:
           print(f"WARNING: Only {len(images)} images left! Regenerate more in Fooocus.")
       return len(images) > 0

def select_content():
       images = [os.path.join(IMAGE_DIR, f) for f in os.listdir(IMAGE_DIR) if f.endswith('.png')]
       if images:
           content_path = random.choice(images)
           os.remove(content_path)
           return content_path
       return None

def generate_caption():
       return random.choice(CAPTIONS)

def post_to_instagram():
       if not check_stock():
           print("ERROR: No images left. Regenerate in Fooocus.")
           exit(1)
       cl = login_instagram()
       content_path = select_content()
       if not content_path:
           print("ERROR: No content available.")
           exit(1)
       caption = generate_caption()
       try:
           cl.photo_upload(content_path, caption=caption)
           print(f"Posted image: {content_path} at {datetime.datetime.now()}")
       except Exception as e:
           print(f"Post failed: {e}")

if __name__ == "__main__":
       post_to_instagram()
   ```
2. Replace `your_instagram_username` and `your_instagram_password`.
3. Test:
   ```bash
   cd scripts
   python post_to_instagram.py
   ```

### 4. Schedule Automation
#### Linux/Mac
1. Open terminal:
   ```bash
   crontab -e
   ```
2. Add:
   ```bash
   0 12 * * * python3 /path/to/AIInfluencer/scripts/post_to_instagram.py
   ```
   Replace `/path/to/` with your folder path.

#### Windows
1. Open Task Scheduler (search in Windows).
2. Create Basic Task:
   - Name: “AIInfluencerPost”.
   - Trigger: Daily, 12 PM.
   - Action: Start a Program.
   - Program: `python`.
   - Arguments: `C:\AIInfluencer\scripts\post_to_instagram.py`.
   - Start in: `C:\AIInfluencer\scripts`.

### 5. Set Up Fanvue
1. Sign up at [fanvue.com](https://fanvue.com), select “AI Created”.
2. Upload 5-10 images from `AIInfluencer/swapped/` weekly.
3. Add description: “Exclusive AI content! Subscribe for more!”
4. Link Fanvue in Instagram bio.
5. Schedule releases in Fanvue’s dashboard.

## Usage
1. Generate/collect ~200 images and run `face_swap.py` (one-time).
2. Configure `post_to_instagram.py` with Instagram credentials.
3. Schedule `post_to_instagram.py` daily.
4. Upload content to Fanvue weekly.
5. Monitor Instagram weekly for engagement.

## Maintenance
- **Image Stock**: Regenerate when <10 images (script warns; ~2-3 hours every ~6 months).
- **Captions**: Update `CAPTIONS` monthly with trending hashtags ([hashtagify.me](https://hashtagify.me)).
- **Instagram Safety**: Post every 1-2 days to avoid bans. Appeal bans via Instagram.
- **Fanvue**: Upload weekly (~10 minutes).

## Troubleshooting
- **Colab Disconnects**: Free tier limits runtime. Use local PC for scripts.
- **Roop Slow**: CPU takes longer; run overnight.
- **Instagram Login Fails**: Verify credentials, enable 2FA if needed.
- **Low Engagement**: Adjust prompts or hashtags.

## Notes
- **Transparency**: Add “AI-generated” to Instagram/Fanvue bios.
- **Legal**: Use only images with permission and original prompts.
- **Storage**: Google Drive (15GB free) or local storage.

## Contributing
Contributions are welcome! Please:
1. Fork the repository.
2. Create a feature branch:
   ```bash
   git checkout -b feature/your-feature
   ```
3. Commit changes:
   ```bash
   git commit -m "Add your feature"
   ```
4. Push:
   ```bash
   git push origin feature/your-feature
   ```
5. Open a pull request.

## License
MIT License. See [LICENSE](LICENSE) for details.

## Resources
- [VS Code](https://code.visualstudio.com)
- [Fooocus](https://github.com/lllyasviel/Fooocus)
- [Roop](https://github.com/s0md3v/roop)
- [Instagrapi](https://instagrapi.readthedocs.io)
- [Fanvue Help](https://help.fanvue.com)

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