इस कोर्स में डेटासेट तैयार करने से लेकर Kohya में LoRA ट्रेन करने तक हर स्टेप बहुत साफ तरीके से समझाया गया है। पहले मुझे कैप्शनिंग को लेकर बहुत कन्फ्यूजन था, लेकिन अब पूरी प्रोसेस समझ आ गई है। बस डिप्लॉयमेंट वाला हिस्सा थोड़ा और डिटेल में हो सकता था।
Stable Diffusion LoRA Training: Datasets to Deployment
Learn to prepare clean datasets, configure Kohya, and train custom Stable Diffusion models from scratch through step-by-step written exercises.
-
💬
AI instructor
Ask about any lesson and get a clear answer instantly, anytime. -
🕐
Start anytime
No schedules or deadlines — learn at your own pace, whenever suits you. -
🌐
In English
Lessons, tasks and certificate — all fully in your language.
About this course
Generative AI relies heavily on customization to produce highly specific, consistent results. Training your own Low-Rank Adaptation (LoRA) models allows you to guide Stable Diffusion to generate exactly what you need, whether it is a specific style, subject, or concept.
This course takes you through the entire lifecycle of custom AI model training using Kohya. You will start with foundational terminology, learn how to curate and caption high-quality datasets, and understand the technical parameters required to train and deploy your own LoRA safely and effectively. By the end of this program, you will have the knowledge to structure training runs and evaluate your model's performance.
What you'll learn:
• Understand the fundamental concepts of Stable Diffusion and how LoRA modifies base models.
• Prepare and clean training datasets using modern curation and text-captioning techniques.
• Configure Kohya training parameters, including learning rates, network dimensions, and epochs.
• Export and manage model weights securely using modern, safe formats like safetensors.
• Apply foundational prompt engineering principles to test and refine your custom models.
The curriculum flows logically from basic definitions to dataset preparation, training execution, and finally, testing your deployed model. You will read through detailed explanations and practice with written configuration snippets to solidify your understanding of the training pipeline. Designed for beginners and AI enthusiasts, this course requires no prior machine learning experience. Start reading today to build the skills needed to train your own custom generative models.
What you'll get
-
📜
Certificate of completion
Add it to your LinkedIn profile -
💬
Personal AI tutor
Stuck on a lesson? Ask your built-in tutor anything, any time. -
♾️
Lifetime access
Come back anytime, no expiry -
📱
Phone or computer
Works anywhere, any device -
💸
14-day refund
No questions asked -
⚡
Short & focused
2h 42m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.
P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Stable Diffusion LoRA Training: Datasets to Deployment
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Stable Diffusion LoRA Training: Datasets to Deployment
Page 2 of 2
Performance detail
Coursework summary
Lessons completed
14 / 14
Practice questions
26 / 28
Assignments submitted
4 (avg 4.5 / 5)
Capstone project
Reviewed — 4.6 / 5
Total practice
6.2 hrs
Performance benchmark
Cohort rank
Top 12% of 1,625
Time to completion
11 days (median: 22)
Mastery score
91 / 100
Practice-question score
94%
Skill verification
Verified Skill Path
Reviews (10)
Раньше я постоянно недооценивал важность чистого датасета, и мои LoRA выходили мутными. Здесь подробно показали, как готовить и подписывать изображения перед обучением, и это сразу подняло качество. Настройка Kohya расписана по шагам, так что даже непростые параметры стали понятны. Я довёл свою модель до полноценного деплоя и остался доволен результатом. Хотелось бы чуть больше про борьбу с переобучением, но в целом материал отличный и рекомендую.
Penjelasan tentang persiapan dataset sampai konfigurasi Kohya untuk training LoRA di sini sangat rapi dan mudah diikuti bahkan buat pemula.
Ich hatte schon mehrmals versucht, eine eigene LoRA zu trainieren, bin aber immer an der Datensatzvorbereitung gescheitert. Dieser Kurs geht wirklich in Ruhe durch, wie man Bilder bereinigt und sinnvoll captioned, bevor man überhaupt an Kohya denkt. Die Konfiguration der Trainingsparameter wird Schritt für Schritt erklärt, sodass ich zum ersten Mal verstanden habe, welche Werte wirklich wichtig sind. Am Ende konnte ich tatsächlich eine brauchbare LoRA trainieren und in Stable Diffusion einsetzen. Der Abschnitt zum Deployment ist allerdings recht knapp gehalten und hätte etwas mehr Tiefe vertragen können. Trotzdem insgesamt ein sehr solider Kurs für den Einstieg.
From messy folders of images to a trained model that actually works, this course walked me through every single step. Cleaning and captioning the dataset was something I'd always rushed, but I now understand why it matters so much for the final result. Configuring Kohya felt intimidating at first, yet the written exercises made each setting understandable. By the end I had deployed my own custom Stable Diffusion LoRA and it generated exactly the style I trained it on. The dataset-to-deployment framing is what sets this apart from scattered tutorials. I came in nervous and left genuinely confident.
データセットの準備からKohyaでのLoRA学習まで丁寧に説明されていて分かりやすかったですが、デプロイの部分はもう少し詳しく知りたかったです。
Il corso spiega molto bene come preparare un dataset pulito prima di lanciarsi nell'addestramento con Kohya, cosa che prima trascuravo completamente. Vedere passo passo la configurazione dei parametri mi ha tolto tanti dubbi che avevo da mesi. L'unica pecca è che la parte sul deployment finale è un po' più breve rispetto al resto.
Kohya setup finally made sense to me.
أخيرًا فهمت تدريب LoRA بوضوح
O percurso do dataset até a implantação é exatamente o que faltava nos tutoriais soltos que eu via por aí. Aprendi a limpar e legendar as imagens com cuidado e a configurar o Kohya sem me perder nas opções. Treinei meu primeiro modelo do zero e o resultado ficou bem fiel ao estilo que eu queria. Os exercícios escritos ajudaram a fixar cada etapa. Senti falta de mais detalhes sobre validação do modelo, mas mesmo assim recomendo bastante.
Learners also took
🎓 With certificate
Deep Learning Fundamentals with Python and Keras
Certificate
Hands-on
45,00 lei
→
🏆 Most popular
🎓 With certificate
Deep Learning and Neural Networks with TensorFlow and Keras
Certificate
Hands-on
45,00 lei
→
⚡ Best to start
🎓 With certificate
Python and TensorFlow: Build Your First Image Recognition Model
Certificate
Hands-on
45,00 lei
→
🔥 In demand
🎓 With certificate
Machine Learning for Electronic Design Automation
Certificate
Hands-on
45,00 lei
→
Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We don’t store card details — Stripe handles them securely.
Can I get a refund? +
Yes — full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
Built for learners in
Tech
Design
Finance
Marketing
Healthcare
Education
Hospitality
Manufacturing
10
Get 10 courses a month
Members get 10 courses of their choice every month for 0 lei. No per-course charges — you pay only the subscription.
230 lei / per month
- ✓ 10 courses every month
- ✓ Cancel anytime
Renews monthly. Unused courses expire at the end of each billing month.