A commission of @Zorglub.<a target="_blank" rel="ugc" href="https://www.instagram.com/mingna_wen/">Ming-Na Wen</a> is an American actress of Chinese descent, known for her roles in many movies and different TV shows, including The Mandalorian and The Book of Boba Fett.This TI trained really fast, and I ended up selecting step 600 as the best one out of the handful I tested. As usual, it was trained on a dataset of 18 images and with my standard <a target="_blank" rel="ugc" href="https://imgur.com/a/dOJEZg2">settings</a>.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/56570/renata-valliulina?commentId=118383&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 (m1ngnawen-600:0.99), a woman, RAW, close portrait photo, bodysuit with zipper, cleavage, fishnet stockings, 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"

Ming-Na Wen

600-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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