Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Fine-Tuning Qwen-Image-Edit-2509 on Nike Clothing and Poses

Oxen via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Learn to fine-tune the Qwen-Image-Edit-2509 model specifically for Nike clothing and pose generation in this 25-minute tutorial. Explore the capabilities of the base Qwen-Image-Edit-2509 model and discover how it performs on Nike clothing items and specific poses before diving into the fine-tuning process. Understand the rationale behind fine-tuning and when it becomes necessary for specialized use cases like product catalogs. Examine the dataset preparation process, including how to auto-caption images for training data. Follow along as the tutorial demonstrates launching a fine-tuning job using Oxen.ai's one-click fine-tuning platform, exploring both basic and advanced configuration settings. Monitor the training process by reviewing sample generations as the model learns, then locate and access the trained model weights after completion. Compare the final results between the original base model and the fine-tuned version to evaluate improvements in generating Nike-specific clothing and poses for product catalog applications.

Syllabus

0:00 What new with Qwen-Image-Edit-2509
2:20 How does the base model perform on Nike clothes and specific poses
6:05 How to improve Qwen 2509 for a Nike product catalog and posing
7:19 Why would you fine-fune?
10:45 The fine-tuning dataset
13:52 How we auto-captioned our images
17:45 Kicking off the fine-tune
19:28 The advanced settings if you want more control
19:55 Looking at the samples as we Qwen 2509 is training
21:35 Finding the model weights after the training run
23:02 Final results! Comparing against the original generations

Taught by

Oxen

Reviews

Start your review of Fine-Tuning Qwen-Image-Edit-2509 on Nike Clothing and Poses

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.