High-Detail SDXL Images: ComfyUI, Upscaling, and ControlNet — PickAClass

High-Detail SDXL Images: ComfyUI, Upscaling, and ControlNet

Learn how to generate, upscale, and refine high-resolution images using node-based workflows in ComfyUI, perfect for beginners wanting print-quality results.

5.0 (2) ⏱ 2h 54m 📚 29 lessons 🎧 Audio version

About this course

Generative AI offers incredible creative possibilities, but getting crisp, high-resolution results requires the right techniques. If you want to move beyond basic prompts and create detailed, print-ready artwork, understanding node-based workflows is essential. This course takes you step-by-step through generating and refining images using SDXL and ComfyUI. You will start with foundational concepts of diffusion models and node interfaces, then progress to advanced techniques like upscaling and targeted detailing to achieve professional-grade resolution. What you will learn: • Understand the fundamentals of SDXL and node-based generation in ComfyUI. • Apply modern prompt engineering techniques specific to high-resolution models. • Configure ControlNet Tile to add intricate details without changing your core composition. • Build effective upscaling workflows to prepare images for large-format display or print. • Practice memory-efficient generation and modern node management for smoother workflows. The curriculum begins with clear definitions of generative AI terminology and the ComfyUI interface. From there, you will read through structured text lessons and practical workflow examples that guide you from your first prompt to a fully upscaled masterpiece. Designed for beginners, this text-based course requires no prior experience with generative AI or coding. Start reading today to transform your creative ideas into high-detail digital art.

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.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • Short & focused
    2h 54m 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.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
High-Detail SDXL Images: ComfyUI, Upscaling, and ControlNet
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
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PickAClass — Name Surname
High-Detail SDXL Images: ComfyUI, Upscaling, and ControlNet
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
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (2)

নূরুল ইসলাম BD Verified learner
★ 5 · June 19, 2026

প্রিন্ট-কোয়ালিটি ছবি বানানো আমার কাছে অসম্ভব মনে হতো, কিন্তু এই কোর্স সেটা বদলে দিয়েছে। SDXL দিয়ে ছবি জেনারেট করার পর কীভাবে আপস্কেল করে ডিটেইল ধরে রাখতে হয় তা ধাপে ধাপে শিখলাম। ControlNet ব্যবহার করে গঠন নিয়ন্ত্রণ করার অংশটা আমার সবচেয়ে কাজে লেগেছে। নোড-ভিত্তিক ওয়ার্কফ্লোগুলো শুরু থেকে এমনভাবে গড়ে তোলা হয়েছে যে নতুন হয়েও আটকে যাইনি। এখন আমার ছবিগুলো বড় আকারে ছাপলেও ঝকঝকে থাকে। শিক্ষানবিসদের জন্য একদম উপযুক্ত।

Maria Vasile RO
★ 5 · June 13, 2026

Hitting print-quality resolution without the image falling apart was always my struggle, and the upscaling workflow here nailed it. Pairing SDXL generation with ControlNet for structure and then refining at high resolution gave me crisp results I can actually send to a printer.

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Just a phone or computer with internet. No installs, no special hardware.

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