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Bria Visual Generative AI
Cookbooks

Unlock Visual Generative AI potential with Bria's open-source recipes: practical guides and examples for building robust AI solutions.
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LoRA Background Generation Integration

This notebook demonstrates the integration of a LoRA (Low-Rank Adaptation) model with a background generation model.

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Data Preparation for BRIA-ControlNet-Recoloring

This script creates the necessary training pairs: grayscale conditions and color information prompts.

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BRIA-4B-Adapt: Fine-tuning and Inference Tutorial

A 4 billion parameter text-to-image model specifically designed for fine-tuning and commercial use.

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Deep Dive into ControlNet Architecture

This guide explains the internal workings of ControlNet, including its architecture and how it processes input data.

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Modifying ControlNet for Complex Inputs

This tutorial explores how to adapt ControlNet's architecture to handle more complex inputs, such as masked images.

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LoRA Under the Hood: How It Really Works in Visual Generative AI

Deep dive into LoRA (Low-Rank Adaptation) and how it enhances fine-tuning efficiency in visual generative AI.

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ControlNet ColorGrid Finetuning

scripts and instructions for fine-tuning the BRIA-2.3-ControlNet-ColorGrid model, designed to generate art images with fine-grained control over color grids.

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FineTune Bria 4B Adapt

This repository provides step-by-step instructions on how to fine-tune Bria-4B-Adapt, a powerful visual generative model.


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Bria’s Eraser: A Groundbreaking Tool for Object Removal in Images

Bria’s Eraser is built for one purpose — removing objects from images seamlessly.

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Bria Brand Gen Pipeline

Explore our demos: "Build visaul Gen-AI tools using Bria's model weights" / "Fine-tune a Tailored-Generation model with Bria's API" and more.

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