description: <p>👉 Check out the <a target="_blank" rel="ugc" href="https://civitai.com/models/459373"><strong>Pony XL version! </strong></a><a target="_blank" rel="ugc" href="https://emojipedia.org/horse">🐎</a></p><p>👉 Check out <a target="_blank" rel="ugc" href="https://civitai.com/models/208127"><strong>Cynfall's version of this lora!</strong></a> They're pretty similar, try both!</p><p>👉 Learn more about Vader-San's Synths on <a target="_blank" rel="ugc" href="https://synthspecies.com/">their homepage!</a></p><h3 id="you-want-an-even-better-lora-f98z598hh">You want an even better LoRA?</h3><p><strong><em>Me too!</em></strong> Contact me on the Furry Diffusion server, I'll help any way I can. (Ask for "Mo.")<br /><em>I don't care whose LoRA is best, I just want great AI-generated Synths!</em><br /><a target="_blank" rel="ugc" href="https://emojipedia.org/backhand-index-pointing-right">👉 </a><a target="_blank" rel="ugc" href="https://discord.gg/furrydiffusion"><strong>https://discord.gg/furrydiffusion</strong></a></p><h3 id="how-was-the-lora-improved-4g0xns5g5">How was the LoRA improved?</h3><p>I spent a week improving the dataset - adding images, cropping some, cleaning up tags - and another week re-training the LoRA on 420 Synth images + 420 regularization images... so 40 epochs was 33600 image-steps at 960 resolution. I was comparing different versions using the methodology above. I arrived at these settings:</p><pre><code>$num_epochs = 40
  $train_batch_size = 3
  $optimizer_type = "Prodigy"
  $learning_rate = 1 * $train_batch_size
  $text_encoder_learning_rate = 1 * $train_batch_size
  $network_dim = 96
  $network_alpha = 96
  $scheduler = "cosine"
  $clip_skip = 1
  
  --shuffle_caption
  --enable_bucket
  --mixed_precision="bf16"
  --min_snr_gamma=5
  --scale_weight_norms=1.0
  --v_parameterization
  --zero_terminal_snr</code></pre><p>I trained on the <code>fluffyrock-576-704-832-960-1088-lion-low-lr-e159-terminal-snr-vpred-e132</code> model, but the LoRA works well with EPS models too - like IndigoMix I used for the showcase.</p><h2 id="disclaimer!-014bz983r">Disclaimer!</h2><p>I originally included the following comparison between this lora and the other 2 available on CivitAI. However, in May 2024 it turned out Cynfall's lora ("FRL27nO") was broken all this time, so I was comparing my lora to one that never worked properly. On May 23rd he uploaded a fixed version, so I edited this page as now I recommend trying both mine and his.</p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9e4ee640-fc62-4fdd-a8c0-99700ec7553c/width=525/9e4ee640-fc62-4fdd-a8c0-99700ec7553c.jpeg" /></p><p>Of course these 6 are cherry-picked to show good images from my model. But the 100 batches I rated in total to compare these 3 LoRAs were not cherry-picked.</p><h3 id="testing-methodology-647niihgo">Testing methodology</h3><p>I generated 4 images from randomized prompts: 3 using the 3 LoRAs and one without a LoRA. I used 4 models: Easyfluff 11.2 (40 images), IndigoMix v110 Realistic (30 images), IndigoMix SE01 vpred (20 images), IndigoMix v100 Anime (10 images).</p><p>I shuffled the images in each batch, so I wouldn't know which was from which LoRA. (That's the <em>blind</em> in <em>blind testing.</em>) I rated images in each batch on a scale from 1 (awful) to 9 (perfect). On average, the three models scored, mine: 6.04, NBP: 4.76, and FRL27nO: 3.99. Images with no LoRA scored 3.37.</p><p>After un-shuffling the results, I used the Wilcoxon signed-rank test (<code>scipy.stats.wilcoxon</code>) to see if the score differences are statistically significant.</p><pre><code>Synth '24 v17 (6.04) &gt;&gt;     NBP (4.76):  T = 331.0,  p =  0.00%
  Synth '24 v17 (6.04) &gt;&gt; FRL27nO (3.99):  T =  96.0,  p =  0.00%
  Synth '24 v17 (6.04) &gt;&gt; no lora (3.37):  T =  80.5,  p =  0.00%</code></pre><p>With differences this large the Wilcoxon test was pointless, but I also used it to compare the 16 versions of my new LoRA which came before v17. Sometimes the scores were much closer.</p>
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name: Synth Species '24
tags: concept android anthro furry synth robot