Gemini Installation

Complete guide to installing and setting up Google Gemini for your development workflow.

Quick Installation

The easiest way is to use our automatic installation script:

Linux / macOS

curl -sSL https://initai.dev/install.sh | bash

Windows PowerShell

iwr -useb https://initai.dev/install.ps1 | iex

Python (cross-platform)

curl -sSL https://initai.dev/install.py | python3

Manual Installation

If you prefer manual control over the process:

1. Stažení CLI

# Linux/macOS
wget https://releases.initai.dev/gemini-cli/latest/gemini-linux-amd64
chmod +x gemini-linux-amd64
sudo mv gemini-linux-amd64 /usr/local/bin/gemini

# Windows
# Stáhněte gemini-windows-amd64.exe z releases

2. Konfigurace API klíče

gemini configure --api-key YOUR_GOOGLE_API_KEY

3. Verifikace instalace

gemini --version
gemini test-connection

Requirements

  • Operating System: Linux, macOS, Windows 10+
  • RAM: Minimum 4GB (recommended 8GB+ for multimodal features)
  • Disk: 1GB free space (including vision models cache)
  • API key: Valid Google AI API key

Gemini Specific Settings

Vision capabilities

# Aktivace image/video processing
gemini configure --enable-vision

# Stažení vision models
gemini models download vision-pro

Multimodal features

# Konfigurace multimodal capabilities
gemini configure --multimodal

# Nastavení supported formátů
gemini formats configure --images --video --documents

Next Steps

After successful installation you can:

  1. Nastavit Bliss Framework - Pro streamlined development
  2. Prozkoumět multimodal features - Vision, audio, document processing
  3. Nakonfigurovat code generation - Optimalizováno pro development

Troubleshooting

Common Issues

Vision models se nepodařilo stáhnout

# Ruční stažení models
gemini models download --force --model vision-pro

Multimodal features nefungují

  • Ověřte že máte dostatečný Google AI quota
  • Zkontrolujte network připojení
  • Restartujte gemini daemon: gemini daemon restart

Performance issues s velkými soubory

# Optimalizace pro velké soubory
gemini configure --batch-size 5 --memory-limit 8GB