<a target="_blank" rel="ugc" href="https://www.instagram.com/lilyrowland1/?theme=dark">Lily Rowland</a> is a British social media personality and model with 2M followers on her <a target="_blank" rel="ugc" href="https://www.tiktok.com/@lilyrowland1?lang=en">TikTok</a> account.Update: I wasn't totally convinced with the previous version, so I've added 5 more images to the dataset and retrained from scratch.This is a 120-step TI trained on a dataset of 20 images with<a target="_blank" rel="ugc" href="https://imgur.com/a/v2MeqhM"> these settings</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>.Do you have a specific idea for a TI in mind?<a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/jernaugurgeh"> Visit my website </a>and let me know.<h2 id="heading-386">Building a good prompt with 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 beautiful (l1lyr0wl4nd:0.99), a woman with beautiful hair, as a movie star in a (movie premiere), premiere gala, (near a movie theatre), natural skin texture, (sexy tight {red|yellow|blue|green|black|turquoise} mesh strapless dress), 24mm, 4k textures, soft cinematic light, adobe lightroom, photolab, hdr, intricate, elegant, highly detailed, sharp focus, ((((cinematic look)))), soothing tones, insane details, intricate details, hyperdetailed, low contrast, soft cinematic light, exposure blend, hdr, faded, (paparazzi in background), (painted lips:1.1), ((looking at viewer:1.1))"Please also note that I'm using the <a target="_blank" rel="ugc" href="https://civarchive.com/models/58390?modelVersionId=62833">"add detail" LoRA</a> for my example pics. I recommend setting it around 0.5 for best results.

Lily Rowland

125-step TI trained on a dataset of 15 images with <a target="_blank" rel="ugc" href="https://imgur.com/a/d348H3k">these settings</a>.

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