ComfyUI Tutorial Series: Ep04 - IMG2IMG and LoRA Basics

Welcome to Episode 4 of the ComfyUI Tutorial Series, where we explore the image-to-image workflow and learn how to use LoRA models in ComfyUI.

Discover how to load and process images, convert them to latent format, and adjust denoising strength for optimal results.
We'll also cover downloading, setting up, and using LoRA models to enhance your Stable Diffusion model's capabilities.

Download Aether Cloud LoRA

Download Aether Fire LoRA

Don't forget to like, comment, and subscribe for more insightful tutorials!
Chapters:
00:00 Image-to-Image Workflow (img2img)
07:46 LoRA (Low-Rank Adaptation)
15:12 img2img + LoRa

[NGraver]

Simply the best teacher on the subject I have found. Your cadence and great use of metaphors to convey the foundational principles makes all the difference. Most videos they will explain the rudimentary stuff slowly then switch into high gear for the complicated stuff leaving me pissed off...hahaha! GREAT JOB!!!

[yikifooler]

dude are you kidding me the way you explain everything is like, you explains what my mind is wondering the next thing is, I love your videos.

[makadi]

My favorite instructor, even for topics I've already learned.

[knightlko]

Thanks, just what I was looking for, nothing like people saying "use this" without explaining even a basic reason behind it.

[icedzinnia]

This is a good video. Something happens when i watch good tutorials: the way it's explained makes me start thinking of ways i can implement what I'm learning. Then i have to stop and take some notes of ideas. Then i go back to the video, but it turns out i had been side thinking for a whole minute of explanation, so i scroll backwards in the video to rewatch what i watched but missed due to side-thinking.
Then it happens again, in nearly the exact. Same. Place.
To me that says this video was not only thorough, but showed widgets in a way that they could be applied in a much larger way.
I watched one section like 3 times bc of this happening, before i REALLY heard what you were saying.

[TohkaTakushi]

I love your videos. I've been trying so hard to find someone who explains these concepts well enough that I could use them. These tutorial series so far is amazing. Able to quickly learn things and actually apply them in a useful manner. Thank you thank you!

[Matt-lbed]

I've been learning AIII for the past few weeks and was nervous to switch over to Comfy because it looked so much harder. However being able to visualize and customize everything actually makes things much easier for me. Your way of explaining things is also amazing 10/10

[Marcel]

Thanks once again. The thing I like about your tutorials is that when following the tutorial there is no part were I think "hang on what do I do now or that didn't work". Your clear and well explained work flow is really appreciated. I hope you will keep this series going.

[twohandedcreations]

These are great break downs! It's finally all starting to make sense. Thank you for making these videos!

[bradtayan]

This video is exceptional! This is the clearest ComfyUI tutorial I have found, and I look forward to watching your other videos. Really well done!

[shineinouzen]

These tutorials are the best I’ve found! So detailed. You have an excellent understanding and way of teaching.

[KhoaTran-shdo]

Wow, this is liek the simpliest video I've ever seen, thank you so much

[DezorianGuy]

You're an international treasure. Thank you for clearly explaining sometimes seemingly overwhelming processes and techniques.

[patrickgallagher]

Cheers! Very informative, very well presented. This intro to LoRAs was exactly what I was looking for, , easy to follow with many helpful extras I didn't know existed.

Gratitude and Respect!

[re]

Caliente! I am listening now several years to tuts and this series is just a charm to follow. I can imagine that was a lot of work man. Thank you for that!

[АлексейЮжаков-лш]

Thank you! You explained about LoRA very well, especially about the noise, I still don't fully understand how neural networks form an image.

[neuraldee]

Thank you! The best tutorial in our days! Waiting for the next one!

[guillermobalbastre]

Thank you so much for your work. I'm really enjoying these tutorials and can't think of a better way to explain things. Thanks!!

[roberto-verde]

Zeer goed uitgelegd, de juiste dosis kennis step by step en de juiste snelheid👍👍👍. Thx!

[ESheridan]

Hello Decean Ioan! Thank you so much for your lessons and details explanation! You are awesome! I'm lookign forward new episodes!