Stable Diffusion: Merging Models in Automatic 1111 - The BEST Trick for better Quality!!!!

Merging Models in Automatic 1111 is the BEST way to refine and improve your Models. Checkpoint Merging in Automatic 1111 explained in a very easy away. Weighted sum and Add difference for Checkpoint Merger explaint in Automatic 1111 for Stable Diffusion. Merge any Stable Diffusion Model to mix different styles and models together. Improve the look and feel of your AI Art Renders massively with this simple Trick.

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[shorerocks]

How you manage to consistently deliver content is beyond me. Thank you for taking me (us) on that journey, Olivio!

[ukdcom]

Olivio I love that we are all learning from each other and that you listen to and respond to your viewers. It makes this channel one of the best.

[CryptoGuardparticlio]

Hey Olivio, just wanted to say that I appreciate your content a lot. Simple videos that explain so much and not too long so that it's easy to watch in the middle of a busy day! Keep going mate, you're standing on the front line of the singularity!

[dzftw]

about putting random words in prompt to make variations, there is a better way: click on extra, there is a second seed and strength options. use these for better controlling generating variation images.

[crckdns]

at 5:37 the choise of safetensors makes quite a difference in terms of speed and safety :)

[TomiTom]

I figured out the mixing models yesterday by myself, then entered your channel to comment about it under your video where you explain how to create our own model, then found that you already mentioned this 5 days ago lol, thank you!

I can add that I also tried to make the other model (like anime style model or disney) as primary, and my own model as secondary, and got an awesome result.

[doze]

Would love to see a video breaking down the differences between models, embeddings and hypernetworks. Maybe explaining when to use which ones over the others, or how they can be mixed and matched. I'm having a hard time understanding when one would be better than the other.

[nicolasferro]

Excellent content and explanation about how merging works. Had to subscribe after this. Thanks!

[TransformXRED]

Float 16 makes your file smaller (half), without any visible differences.
I tested it a lot with same seeds... Now I purposely convert my dreambooth models with this option.
(if you select the same model for A and B, put the slider at zero adn select fp 16, you'll get the same model but in a smaller size).

I would select safetensor too. It doesn't hurt to have just pure data, and not take any risk with the ckpt files. Some people see a lower loading time too

[autonomousreviews]

Fantastic! Thanks for laying that out so nicely :)

[bladechild]

Honestly, haphazardly merging a few of my own dreambooth models has wound up with phenomenal results and I don't particularly know why. But some of the output I get from random prompts is just stunning. Midjourney-esque quality even, and I can't fathom why. I've spent the best part of 3 days trying to steer it in a direction so that it actually creates a style I'd want to consistently reacreate, and that's the tricky part I suspect.

[Diggy]

I just watched your video and I have to say, I was really impressed! The content was interesting and engaging, and the production quality was top-notch. Great job on this one, keep up the amazing work!

[TanChoonHong]

Another excellent guidance video. Thank you, Olivio.

[cliveagate]

Awesome, thank you Olivio, I had no idea that merging models existed, but now I do and more importantly, how to use them! 👋

[Avenger]

Solid information and tips! This should really really help people that have no idea how powerful merging models are.

[gwcstudio]

Just got the reference only working and wow! It is cool af! Thank you O.

[FredRosa]

Great video, your channel has been very useful for me. Thank you for your hard work.

[clenzen]

Regarding using (((word))), try highlighting a single word, no brackets, and then control up. Should get you (word:1.2). It can be easier to read. Thanks for the tutorial!

[Nako]

Great video! Thanks for the explanation!

[coda]

Awesome content! Thanks for the tips, very helpful.