What it is
This YouTube video tutorial provides step-by-step instructions on creating a Flux AI model through LoRA fine-tuning. It covers dataset creation, model fine-tuning for a low cost, and using the model to generate AI images, along with guidance on storing the fine-tuned model for future use.
Gabriel’s notes
VIDEO: How to create your own Flux AI Model (Flux LoRA Fine Tuning). In this tutorial, you’ll learn: 1. How to create Dataset for LoRA Fine-tuning of Flux Dev Model 2. How to Fine-Tuning your own Model for less than $5 using Replicate 3. How to use the Model and create AI Generated Images In this video, we also learn to store the fine-tuned LoRA adapter on your hugging face model hub so you can use it later whenever you want.
Good fit if you want to:
- generate, edit, or enhance creative assets (images, design, branding).
- learn a new skill, concept, or workflow with structured guidance.
Pricing snapshot (auto-enriched): Usage-based pricing with fine-tuning costs less than $5; no explicit mention of a free tier or seat-based pricing; no hidden limits stated.
Work-use / compliance snapshot (auto-enriched): Replicate AI platform offers data retention controls with automatic and manual deletion options but does not explicitly state SOC2, HIPAA, or GDPR compliance or SSO availability; Hugging Face is GDPR compliant, offers advanced SSO in enterprise plans, retains logs for 30 days without storing payload data, and provides data processing agreements for compliance,…
Alternatives (auto-enriched): Alternative: FAL | Comparison: FAL offers a different platform for LoRA fine-tuning but may require more setup compared to Replicate used in Flux fine-tuning.
Viewing tip: watch once for the big idea, then re-watch the key segment while taking notes you can turn into a checklist.
Author: 1littlecoder
Note: pricing and policy details can change—verify on the official site before making decisions.