<p>Not an easy LoRa to work with, but it can work.</p><p><code>v2</code> is a slight improvement, but I still think I can do better. I think the training data needs higher quality.</p>
Public
SD 1.5
Standard
<p>PICS: 131</p><p>BLIP: 10 - 75</p><p><code>network_dim</code>: 64</p><p><code>network_alpha</code>: 32</p><p><code>noise_offset</code>: 0.05</p><p>steps:  10% 220/2200 [05:17&lt;47:33,  1.44s/it, loss=0.0935]</p><p>steps:  20% 440/2200 [10:42&lt;42:50,  1.46s/it, loss=0.0889]</p><p>steps:  30% 660/2200 [16:07&lt;37:37,  1.47s/it, loss=0.0894]</p><p>steps:  40% 880/2200 [21:32&lt;32:18,  1.47s/it, loss=0.0898]</p><p>steps:  50% 1100/2200 [26:56&lt;26:56,  1.47s/it, loss=0.0894]</p><p>steps:  60% 1320/2200 [32:21&lt;21:34,  1.47s/it, loss=0.0905]</p>
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Success
2023-05-01T10:35:57.639Z
Model
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v2.0
2023-05-01T10:37:58.752Z
Public
SD 1.5
Standard
<p>PICS: </p><p>EPOCHS: 10</p><p>REG PICS: none</p><p>BLIP: 5 - 75</p><p>steps:  10% 95/950 [02:16&lt;20:25,  1.43s/it, loss=0.149]</p><p>steps:  20% 190/950 [04:40&lt;18:40,  1.47s/it, loss=0.141]</p><p>steps:  30% 285/950 [07:04&lt;16:30,  1.49s/it, loss=0.148]</p><p>steps:  40% 380/950 [09:28&lt;14:12,  1.50s/it, loss=0.141]</p><p>steps:  50% 475/950 [11:52&lt;11:52,  1.50s/it, loss=0.138]</p><p>steps:  60% 570/950 [14:15&lt;09:30,  1.50s/it, loss=0.141]</p><p>steps:  70% 665/950 [16:39&lt;07:08,  1.50s/it, loss=0.134]</p><p>steps:  80% 760/950 [19:03&lt;04:45,  1.50s/it, loss=0.135]</p><p>steps:  90% 855/950 [21:27&lt;02:23,  1.51s/it, loss=0.13]</p><p>steps: 100% 950/950 [24:02&lt;00:00,  1.52s/it, loss=0.132]</p>
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SafeTensor
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Success
2023-04-21T21:21:33.502Z
Model
Success
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v1.0
2023-04-21T21:19:09.163Z
Nina Warink
person woman celebrity