Deep dive into the Flux

My analytical view of Flux. Its strengths, weaknesses and a few tricks to get the best out of it.

A few workflows to get you started, check them all, there are a few extras:

00:00 Intro
03:46 Basic workflow
07:15 Prompt trouble with Art Styles
09:59 Sampler Flux with Parameters
15:37 Prompting
20:41 Anime bias
22:08 Noise injection
24:20 Image to Image
26:04 Outro

[kenpmc]

Not hyperbole, I learned more from this video than from all other sources combined.

[S.Korolev]

Matteo: "This is getting too long"
Me: " So short :( "

[mariokotlar]

That explanation about vectors and variety is the first thing I saw anyone talk about this, yet for me it has been one of the biggest advantages Stable Diffusion has over Midjourney. With SD I'd be able to make thousands of images of the same prompt and I'd still keep finding new different looking results, while with MJ it would feel like anything more than a handful of images is just a waste of gpu hours, as it just keeps reimagining the same thing again and again. Luckily MJ has parameters weird and chaos that help with this somewhat. It's awesome to see you already found one trick to make flux less stubborn. IP adapter is going to make a huge difference here, can't wait ♥

[wellshotproductions]

I have been waiting with bated breath for your thoughts and analysis on this model. Tnank you Matt3o!

[GamerEire]

How is thi guy not the top guide for Flux?!! amazing information

[ahtoshkaa]

wow. thank you for the cool trick of adding noise within the image once it was half way generated!

[sameeruddin]

This channel is a gold mine ! Really love your work and thank you for putting in the hours and sharing this wealth of knowledge with us ! thank you

[SebAnt]

Thanks Matteo for sharing the workflows, on top of the brilliant tutorial 🙏🏼🙏🏼I was able to recreate the Mona Lisa img2img and am sooo thrilled and happy!

[citizenplain]

lol - "And here have drag queen Mona Lisa." 🤣One of your best videos, Matteo! Thank you so much for sharing.

[lgpyrogod]

10 seconds in, I already liked... thanks Matheo! always insightful

[ArtisMysterium]

I am surprised you did not mention the absence of negative prompt in FLUX.

Otherwise, great video as always! :D Thank you so much!

[bobdelul]

The amount of knowledge I gain from this channel. Ty so much for al the testing and explaining!

[runebinder]

I stumbled across the Flux Sampler Parameters node early last week and couldn't understand why there were no drop downs for Sampler and Scheduler, now I know why and that's really cool :) Great video as always.

[gregpin]

Thank you very much for the thorough analysis. Looking forward to the Ipadapter. Keep up the great work.

[SebAnt]

WOW, WOW, WOW! That Mona Lisa img-2-img towards the end was just stunning! Thank you Matteo 🙏🏽🙏🏽🙏🏽 This was so educational and inspiring, explaining things that no other channel has.

[lemonfighter]

I'm really impressed about how well you know what you're talking about. This video is highly valuable

[aivideos]

Great new nodes, love the way you see something that would be useful, and you just make it. Great work as always

[piliou]

Outputs. We claim no ownership rights in and to the Outputs. You are solely responsible for the Outputs you generate and their subsequent uses in accordance with this License. You may use Output for any purpose (including for commercial purposes), except as expressly prohibited herein. You may not use the Output to train, fine-tune or distill a model that is competitive with the FLUX.1 [dev] Model. the dev version has this clause, which is very confusing

[davidb]

A day that starts with a new video from you is always a good day! Thanks for taking the time, Matteo.

[tparis]

You are one of the best source of information Matt3o! I really enjoy your work.