Neta Lumina Lightning LoRA

All cover images are raw output from the model, 1MP resolution, no upscale, no hands/faces inpainting fixes, even no negative prompt.

What is this

This is CFG distilled Neta Lumina, and is trained as LoRA natively.

2x faster.

Currently support:

• NetaYume Lumina (NTYM)

About CFG distilled model:

• You can't control CFG scale and negative prompt. Those are trained inside the model.

• Built-in artist styles are weaker. Because artist styles have the highest variance.

• Other kinds of penalty (concept etc.) are unnoticeable. Unlike step distillation (4/8 steps model etc.), CFG distillation is simple and not aggressive.

Interesting pros:

• Noticeably better hands and limbs.

• Stronger and more accurate (?) style from style LoRA.

• Don't know why. I assume that distilled model has less "noise and outliers", so overall it's more "stable".

How to use

Required settings to work:

• LoRA strength 1

• CFG scale 1 (This disables CFG, and negative prompt)

• Do not use cfg++ (cfg_pp) samplers, they do not work.

Recommended settings:

• Timesteps shift 3 (from node ModelSamplingAuraFlow)

• Steps 20. If you really just want to test something (concept etc.) very quickly, 12 steps is also doable.

• Sampler: euler/euler_a + normal

License 

This model is released under Apache License 2.0.

Additional terms: Selling or monetizing models that merged this LoRA is prohibited.

Update logs

I may release multiple sub versions (abcde...), with different CFG (maybe different negative prompt too). So you can choose the CFG you want by choosing LoRA.

If you want to share your images, please post them to the main version page (a).

v1.0 (11/21/2025):

• Mimics the effect of CFG 5.

• Finally, found and fixed a noise mismatch issue in all v0.2 versions. What the f is the "renorm_cfg" thing in official Lumina 2 code.

• Also skipped early layers which have extremely large activation values. Should have better compatibility with other LoRAs.

v0.2: Init version, experimental.

• v0.2a: Init version. mimics the effect of CFG 3.5.

• v0.2b: This version mimics the effect of CFG 5.

• v0.2c: This version mimics CFG 4. Also added some normalizations on mean and variance of noise the teacher model predicted, balabala...

• Still experimental, can't say which version is better. Try yourself.

You have read this far, don't forget to leave a feedback in discussion. Don't write a review, Civitai review system is so hard to find and, most importantly, read...