---
created: '2026-04-05T05:40:04+00:00'
id: 85578143-5ecf-465f-a8a9-3d25e57e2c7f
links: []
modified: '2026-04-05T05:40:04+00:00'
summary: This note outlines the configuration parameters for training a Flux model
  image generation pipeline, specifying essential requirements like repeating input
  images 5 times, resizing to 1024 for high quality, and targeting 20-30 images, along
  with detailed advanced settings such as learning rate, LoRA rank, noise parameters,
  and batch size.
tags: []
title: Fluxgym AI Training
---

Suggested
Repeat Train Images 5
Resize to 1024 for HQ images
Flux wants 20-30 images
Advanced:
learning rate : 5e-4
save every n epochs: 1
lora rank: 16
enable bucket: true
flip-aug: for styles
minimum snr gamma: 5
multires noise discount: 0.3
multires noise iteration: 6
noise offset: 0.1
train batch size: 2-4