I'll be brief.20 steps of LCM + KL_OPTIMAL at 1MP+ is a resonance point where the LCM consistency trajectory aligns with the KL_OPTIMAL frequency grid and the distilled structure of Krea 2 Turbo INT8.This method only reveals its full potential on well-trained models. If the LoRA was trained in the standard way, you won't see a meaningful difference from the usual 8-step setup.Based on my observations, this point is reached at around 6,000 training steps with a learning rate of 0.0001. Once this threshold is crossed, the model begins to learn lighting, shadows, and minute details, effectively overriding the base model's behavior for those elements.I expect new models to appear on this page quite infrequently, as a few unsuitable images in the dataset will negatively affect the result—which only becomes visible after 6,000 steps. After that, I rebuild the dataset and start over.Once the LoRA has been successfully trained, I edit all the blocks to reinforce those that have effectively internalized the information and to weaken those that have absorbed unwanted information.

Files with SHA256: 0b55ace94687677ea688a57feb4ae72d117f0040b5344e2f91ef333e9b7a1d13