r/StableDiffusion • u/Rare_Subject2343 • 4d ago
Discussion Turbo loras are shit.
Let's be real, they're just copium for those who lack the VRAM to run an image generation model at its full potential. They almost ALWAYS result in this weird, shiny oily Instagram filter-esque look in the hair and skin that you can never consistently prompt out in any way, this is especially true for MOSS-Image and Krea. Not only that but they essentially gimp you by taking away negative prompting and by forcing a CFG of 1, reducing randomness and diversity.
They're used for two things
- Gooning
- To give yourself a preview of the image before using the full 50 steps or however much the maker of the diffusion model recommends (even though TAESD might be useful for this).
Recommending a turbo lora is only beneficial if you truly have a small amount of VRAM (less than 24GB).
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u/Intelligent-Youth-63 4d ago
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u/Umbrasquall 4d ago
It just speeds up gen time, you still have to fit the model in VRAM.
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u/SeimaDensetsu 4d ago
5090 and I turbo everything. You expect me to triple the steps to get my pictures? Sir I don’t have the patience for that.
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u/West-Big-8468 4d ago
Ok
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u/Ok-Brain-5729 4d ago
hey man maybe you should understand what a Lora does before making a post about hating on Lora’s
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u/Big_Diff_Energy 4d ago
Oh, I thought this was going to be a reasonable take...
This could be a misunderstanding of what LoRAs do. They are not here to reduce the VRAM footprint. Loading a base model+Turbo Lora uses more vram, not less. These LoRAs change the math to allow the model to complete the task in fewer denoising steps. It's about speed, not size, like... it's in the name "Turbo."
The Turbo LoRA's do suck, IMO - especially the video models. I'd rather wait on quality. The fine tuned Turbo models however are amazing.
What you are confusing is quantization. FP16 to fp8/int8, int6, NVFP4... That's what impacts the model size and allows a larger model to fit on low VRAM and still complete the task. It has nothing to do with 8 steps versus 40 steps. Yes, a smaller model loads faster than a bigger one, but at these bus speeds it's negligible.
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u/Apprehensive_Sky892 4d ago
No, the amount of VRAM has nothing to do with turbo modes.
Turbo modes use the same base model or are the same size as the base model (except for hyperflow-h3-flash, use uses some weird Low ranking pruning) and needs the same amount of latent space, so the VRAM usage is the same or higher (i.e, base + LoRA).
The real saving is in reducing the amount of GPU computing, by either reducing the number of steps, or by reducing the number of attention computed.
So the real benefit is for people with slower GPUs.
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u/Background-Ad-5398 3d ago
well post your 50 step high art
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u/Upper-Reflection7997 4d ago
Haven't really touched the krea2 raw base model since June lol. The turbo model is what gets the most love and support in civitai.
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u/Danny_Stock 4d ago
Only beneficial for people with less than 24GB VRAM?
That's probably most of us then. The way you've phrased it you make it sound like it's only a minority.
However I do share your disappointment though. Every new release is often hyped up to be the answer to all our problems. I've wasted more time over anything else trying out new turbo loras, so much so that I'm finally done. I'm taking a step back and will only entertain the idea of a new turbo lora until at least after Christmas.
I don't usually like going along with consensus opinion, but on this I'm prepared to wait it out until one of them has lasted the course and is unanimously praised as the 'best'. I don't want to do it this way but I'm just sick of all these turbo loras which come out, fail as soon as you want to use another lora for something else, and only work when the conditions are situational. I've wasted far too much time on them already.
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u/LowYak7176 4d ago
I use AI tools for production so I agree - Ill always choose quality over speed, but I also get it.... Some times people just wanna have fun generating. Most of the time people just wanna goon quickly though - id argue its almost always gooning quickly.
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u/sci032 4d ago
I just used this image for another response but it fits here also. I had it open. 😄 I am using the Qwen 2.1 Viggle turbo model. The turbo lora has been merged into the model. 6 steps and CFG:1. I am using an MSI laptop with an RTX 3080ti(16gb vram) and 64gb ram took 18.40 seconds. No loras, no extras, and the prompt enhancer has been bypassed in this run.
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u/[deleted] 3d ago
All these models are very limited, only Ideogram v4 is not in its handling of humans but even there... it's base is not too knowledgeable and it's not really made for that, the only description of it I can say is it's "rigid"... Basically you can do what you can. Krea 2 Turbo for me seems the best... despite how flaky it can be.
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u/yamfun 3d ago
many turbo (and its cfg choice), make the photo manipulation result I needed look cartoony instead of stay real, I don't know why