🗺️ Celeste Imperia: The Forge Guide

🏎️ 1. Choose Your Engine (Format)

OpenVINO (Intel Optimized)

• Use case: High-speed local image generation and real-time speech-to-text.

GGUF (Universal CPU)

• Use case: Large Language Models (LLMs) running in private, low-resource environments.

💎 2. Choose Your Precision (The Trinity)

🚀 3. Hardware Recommendation Matrix

The Laptop Setup (Lite/Mobile)

• Target: 8GB RAM / Intel i5 (10th Gen+)
• Recommendation: Use our INT4 (Lite) OpenVINO models or Q4_K_M GGUF weights.
• Result: Fast, snappy responses without freezing your system.

The Creator Setup (Pro/Standard)

• Target: 16GB - 32GB RAM / Intel i7 or i9
• Recommendation: Use our INT8 (Pro) OpenVINO models for SDXL and Q8_0 for LLMs.
• Result: Professional-grade outputs with lightning-fast inference.

The Workstation Setup (Master)

• Target: 64GB RAM / Intel ARC A770 or RTX 4000
• Recommendation: Use our FP16 (Master) suite.
• Result: Zero-compromise AI at maximum hardware throughput.

🛠️ Quick Performance Tips

1. The "First Run" Tax: The very first time you run an OpenVINO model, it will take 30-60 seconds to compile the graph. Don't cancel it. Every run after that will be nearly instant.
2. Guidance Scale: For our SDXL Trinity, always keep your guidance_scale between 1.0 and 2.0. We use fused LCM technology, and high CFG values will cause artifacts.
3. Background Tasks: AI inference is CPU-heavy. For the fastest results, close memory-heavy apps like Chrome or Photoshop before starting a large generation.