A commission of @Zorglub.<a rel="ugc" href="https://www.instagram.com/mekiacox/">Mekia Cox </a>is an American actress and dancer, known for her roles in series such as 90210 or The Rookie.This is a 500-step TI trained on a dataset of 18 images with my <a target="_blank" rel="ugc" href="https://imgur.com/a/dOJEZg2">usual settings</a>.For some reason, it seems like reducing the token count to 2 is making my TIs train faster now... I'm not sure, it might be just a lucky streak, but both this TI and Sara Underwood's looked almost ready from a very early stage in their respective trainings. I'll keep testing with this setting.Appreciate my work? My TIs are free, but you can always <a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/jernaugurgeh">buy me a coffee</a>. :)Curious about my work process? I have summarized it <a target="_blank" rel="ugc" href="https://civarchive.com/models/18240/india-reynolds-model?commentId=55100&amp;modal=commentThread">here</a>.<h2>How to create a good prompt using my TIs</h2>You're obviously free to experiment, but bear in mind that my TIs are trained with a more or less fixed phrasing, that normally starts with:"photo of EMBEDDING_NAME, a woman"So I recommend always starting your prompt like that and then building the rest of the prompt from there. For instance, "photo of (m3kiac0x-500:0.99), a woman, RAW, close portrait photo, long brown coat, long haircut, pale skin, slim body, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 sharp focus, f 5.6"

Mekia Cox

500-step TI trained on a dataset of 18 images with my <a target="_blank" rel="ugc" href="https://imgur.com/a/dOJEZg2">usual settings</a>.

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