# Bria Best Practices Overview

Welcome to the Bria AI Best Practices guide. Understanding the core mental model of our platform will help you achieve the best, most deterministic results when integrating our APIs.

## The Bria Mental Model

At the core of Bria's architecture is a structured, deterministic approach to generation and editing. Across all of our tools, the most successful workflows follow these principles:

1. **Disentangled Control:** Instead of relying on giant, paragraph-long prompts, we encourage isolating your changes. Use a mask for local edits, lock the seed for consistent iteration, and explicitly state what must *not* change.
2. **The "Blueprint" System:** Our generation pipelines translate your inputs into a `structured_prompt` (a JSON blueprint). You can save this blueprint and reuse it to reliably reproduce or safely iterate on an image without losing the original composition.
3. **Pipeline Thinking:** For the most professional results, think in building blocks. A perfect catalog asset isn't usually a single API call; it's a pipeline of `Cutout` → `Shadow` → `Packshot/Lifestyle`.


## Choose Your Guide

Select a topic below to explore endpoint-specific workflows, prompt formulas, and designer tips tailored to your use case:

### 🎨 Image Generation Best Practices

**[Read the Image Generation Guide →](/image-generation-best-practices)**

Learn the two-step system for generating high-fidelity images. Covers prompting strategies, seed management, model selection (Lite vs. Standard), and how to use structured JSON prompts for absolute control.

### 🛍️ Product Shot Editing Best Practices

**[Read the Product Shot Editing Guide →](/product-shots-best-practices)**

Master the commerce-grade workflow. Covers the best practices for clean cutouts, realistic shadow tuning, packshot generation, and how to prompt for stunning, physically integrated lifestyle scenes.

### ✂️ Image Editing Best Practices

**[Read the Image Editing Guide →](/image-editing-best-practices)**

The ultimate guide to modifying existing images. Covers mask-based workflows, the four pillars of precision, background manipulation, expansion/outpainting, upscaling, and single-purpose style transformations.