Long story short, for the first ever I needed a turbo lora (extracted as diff) to be used on the base Klein 9B model and I was not satisfied with the ones I found so I tried making my own with twice the rank (256).

Thus, I'll be using this one and I'm uploading it even though its quite late to do so since Klein is pretty much a very old model by AI community standards. Its still the best open source image editing model - which is why I'm still using it.

You can see in the comparison image - the output of the rank 256 BF16 turbo lora is closer to the original output of the Turbo model itself VS the rank 128 FP32 one.

Recommended Settings

• 0.25 Strength ➔ CFG: 3.0 | Steps: 16

• 0.50 Strength ➔ CFG: 2.0 | Steps: 12

• 0.75 Strength ➔ CFG: 1.3 | Steps: 8

Note:

Don't use 'ConditioningZeroOut' for the negative prompt. Instead, create the negative prompt just like you do for the positive one: 'negative prompt -> CLIP Text Encode -> ...'.

If you use 'ConditioningZeroOut' - not only will your negative prompt be ignored, but also the results will be worse. This is more significant in Text to image mode and at lower turbo strengths.