Unlock FLUX Full Potential on Any GRAPHICS CARD (ComfyUI)!

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Unlock Flux's Full Potential for Any Graphics Card on ComfyUI!

📢 Last Chance: 40% Off "Ultimate Guide to AI Digital Model on Stable Diffusion ComfyUI (for Begginers)" use code: AICONOMIST40

In this video, I'll show you how to unlock Flux's full potential on any graphics card using ComfyUI, whether you have a high-end GPU or a low VRAM, low GPU setup. We'll dive deep into selecting the right Flux model for your specific hardware, from the powerful Flux LoRA integration to tips on how to run Flux efficiently on low GPU setups. I'll guide you through optimizing your AI image generation workflow, ensuring smooth performance even with limited VRAM. If you're looking to enhance your Flux experience, learn about LoRA support, or run Flux on a low GPU, this tutorial has got you covered!

0:00 - INTRO
0:50 - Original Flux Dev FP8 (Local)
2:53 - AI Digital Model Course
3:32 - Flux quantized models
4:45 - Flux Dev Q8 (16-24 GB VRAM)
7:04 - Flux Dev Q5KS (12-16 GB VRAM)
9:51 - Flux Dev Q4KS (4-12 GB VRAM)
11:41 - Outro
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I’ve noticed when using a Lora loader with clip input and output, controlnets don’t like it, creating broken outputs.

tamtamX-cqor
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Q5KS model works just fine with RTX2080 with 8G VRAM, about 1 minute/image.

hotlineoperator
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is q4 ks better at image quality compared to nf4 ?

originsandtales
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I can confirm that Q4KS even works on my ancient Nvidia GTX 980 4GB !
But yeah... the 25 steps took like 12 minutes for 1 image, I should try with LORA maybe it can go like half?
I know I shouldn't even TRY with such an ancient tech... but I'm curious 😅

MrDanINSANE
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This is a very good comparison. For those with more modest hardware, I recommend the flux-schnell version. Results are still nice.

By the way, what does image quality for you mean? The visual details? The prompt adherence?

I wonder which model does best in terms of prompt adherence.

barwithm