💪 Flux Frenzy: Unleash Screaming Fast Speed Boosts & Next-Gen Tools!

[@rolarocka]

Nice Video 😍👍

[@GrocksterRox]

Thanks so much!

[@SouthbayCreations]

Excellent video, very informative! Thanks for sharing!!

[@GrocksterRox]

So glad it can be helpful! I always appreciate the feedback.

[@freekhitman9916]

really awesome video again i like it ... will try later the tools

[@GrocksterRox]

Thanks so much!

[@ArrowKnow]

Thank you for the amazing Value you bring to the community! So useful and educational!

[@GrocksterRox]

Thank you so much, I love this feedback! I really appreciate your sending to others as well, so we can help as many people as possible.

[@DJVARAO]

Thank you! I will try it.

[@GrocksterRox]

Awesome, good luck!

[@gamersgabangest3179]

This is gold. Thanks

[@GrocksterRox]

Thank you so much! Please feel free to share this educational shininess with others :)

[@Uday_अK]

Wooooo that's some content👌🏻

[@GrocksterRox]

Enjoy! :)

[@Uday_अK]

And thanks for the efforts you put into making the tier model for flux list

[@GrocksterRox]

Of course, I try my best to do as much as I can to help the AI community!

[@Uday_अK]

@@GrocksterRox always appreciate ❤️

[@steveg9380]

is this workflow available for download?

[@GrocksterRox]

Yup - all workflows are free and linked in the video description (download on the Civit site)

[@ThoughtFission]

Why not use the new Qwen instead of Florence? I'm finding Florence not that good.

[@GrocksterRox]

Great thinking! Qwen is definitely an option, but if I remember correctly, it's fairly heavier in terms of VRAM requirements (model is larger). With both Flux being that last step taking a lot of memory as is, it may hamper folks that have cards with less than 16GB of VRAM (so I tried to keep it as light as possible). That being said, if you have the memory, it's definitely an option.