Generate Faster With Flux Dev Hyper Loras

Generate Faster With Flux Dev Hyper Lora's. You can use 8 and 16 steps lora's that are very comparable to the original Dev models. While the 8 step lora can suffer from a bit of quality loss, it still performs very well. Definitely useful for lower end GPU's with 8GB VRAM or less.

For all the Flux Dev models including the hyper lora's check out the link below

Also be sure to check out this video where I compare the various Flux Dev models and which model may be best for you based on your system

⏲Time Stamps
0:00 Intro to Flux Hyper Lora's
0:33 Where to get the hyper lora's and where to put them
1:07 How to use the lora in Webui Forge
1:45 How does it perform on an 8GB VRAM GPU
2:21 How is the quality?
2:50 Comparisons FP8 vs 16 steps vs 8 steps
4:44 Text comparisons 16 steps, 8 steps
5:29 What's coming next?

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[MonzonMedia]

I'd love to hear what kind of speeds you are getting with your GPU with these Flux Dev Hyper Lora's.

[Bpmf-gu]

Thanks to your video!! The contents are easy-understanding. I was really surprised by the images I ended up with.

[SouthbayCreations]

Awesome video, very helpful information! Thank you very much for sharing! 🙌🙌

[crazytoolman]

last time i watched your video is on playgroundai channel, wow, you are here

[freneticfilms]

Why this isn't getting merged with some nice other checkpoints?

[marhensa]

2:35 The artifacting of the face on Hyper LoRA can often be fixed using Euler Beta, in most cases at least..

[Pusty]

Flux and similar programs are great tools. But their disadvantage is the lack of a "canvas" function. Just like it was in Playground AI. I'm currently considering choosing something to replace PlaygroundAI. MJ is good but if you look at the price plans it doesn't look the best. I think Leonardo is a more interesting option.

[MarcoEscobedo]

I have rtx force asus 3060 8 gb vram 32 ram. An image 896x1152 + 2 loras = time 1 minute 20 seconds. I have been testing flux_1_dev_hyper_8steps_nf4, it is faster but image quality is very bad. Now I continue with in Forge

[AnthonyDev]

Nice, Monzon, do you know if it will be available for schnell gguf q0 too? I have rtx 3060 GB and it's running fine with forge.

[MBop-xhgl]

My ol´ Nvidia 1070 8GB VRAM and 16GB RAM takes 180/sec per iteration. About six times slower than ordinary slow speed. Go figure.