Iterative LoRA Training Model - My first attempt at creating a LoRASuggested tags for consistent results:<pre><code>fujibayashi sheena, black hair, brown eyes, messy hair, pink bow, pink sash, black pants, purple boots</code></pre>If you include Pony Tail, the generation will have a tail. I messed up with the training data--If you want to include it, just use Ponytail. I found that the LoRA works fine if you omit it entirely, though.Recommended settings:<ul><li>DPM++ 2M or Euler a</li><li>Karras</li><li>Sampling Steps: 25-35</li><li>CFG Scale: 4-6</li><li>Model Weight: 0.75-1 (I've had good success with weight 1)</li></ul>As a personal preference, I generally use ADetailer for the faces of any generation, although this model is fairly consistent with it's accuracy.I have had success with multiple Checkpoints, but any checkpoint that has a large amount of anthro images included in the training data seems to affect the results for this LoRA.I would love to see what you create with this LoRA.I'll be updating this LoRA as I better learn the process of creating them.

Fujibayashi Sheena - [Tales of Symphonia]

This is the first LoRA that I've trained and will update it as I better learn the process.

Files with SHA256: d81fb50c0fc9c7c3d3f67d39f8dc2245015128f0c6aa55ae9246ce0cb567f6d2