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README.md

@@ -133,7 +133,9 @@ We're not going to dive into the rank and learning rate and stuff because this r
 - Default config with LR 4e-4 at Rank 16
 - 2200 - 2600 steps saw good convergence. Even some checkpoints into the 4k step range turned out pretty good.
 If targeting finer details, you may want to adjust the rank up to 32 and lower the learning rate. You will also need to run more steps if you do this.
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 **Training a style:** Using simple captions with clear examples to maintain a coherent style is crucial. Although caption-less LoRAs can sometimes work for styles, this was not within the scope of our goals, so we cannot provide specific insights.
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 **Training a concept:** You can choose either descriptive captions to avoid interfering with existing tokens or general captions that might interfere, depending on your intention. This choice should be intentional.
 
 Captioning has never been more critical. Flux "gives you what you ask for" - and that's a good thing. You can train a LoRA on a single cartoon concept and still generate photo realistic people. You can even caption a cartoon in the foreground and a realistic scene in the background! This capability is BY DESIGN - so do not resist it - embrace it! (Spoiler alert next!)