description: <p>I did several trainings almost all experimental as to how to approach what is essentially a reversal of millions of iterations of learning. Example images show good and bad.</p><p><strong>IM Disabling onsite generation as the results don't match even with the same seed and checkpoint. WTF is going on Civitai</strong></p><p></p><p>Using the negative African with positive very dark skin gives the most substantial results. Some checkpoints work better then others.</p><p></p><ol><li><p>10% of the results look like face swaps,</p></li><li><p>50% look interesting but not realistic</p></li><li><p>40% I would consider realistic.</p></li><li><p>Sometimes the U-Net will simply draw the darker skin as a lighting effect</p></li></ol><p></p><p>Note: This training was achieved by using real photos body details from dark skinned females. All images where cropped to only torso, or close up.</p><p></p><p>Greyscale images of Asian, Middle Eastern, Caucasian adult females where described accurately and trained at the following rates.</p><p></p><p>25_Body Details</p><p>10_Head Images</p><p></p><p>This lora could likely be further refined by taking the best AI images and using those in the data set.</p>
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name: Darker Skin for Any Race (SD 1.5)
tags: concept dark skin ethnic ethnicity race swap extremely dark sk ethnicity swap