A request of @bored_dude.<a target="_blank" rel="ugc" href="https://www.instagram.com/sadiesink_?theme=dark">Sadie Sink</a> is an American actress, mostly known for her role as Max Mayfield in the Netflix show Stranger Things.Updated: Hope it's more accurate this time around! Check the "About this version" section for more info.This is a 140-step TI trained on a dataset of 15 images with<a target="_blank" rel="ugc" href="https://imgur.com/a/d348H3k"> 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 (sad1es1nk:0.99), a woman with perfect hair upsweep updo, wearing (shoulder sash:1.1), (plain {yellow|black|red|blue|green} background:1.1), modelshoot style, (extremely detailed CG unity 8k wallpaper), professional majestic photography, ((smiling:1.2)), (Leica M6 Camera), 24mm, exposure blend, hdr, faded, extremely intricate, High (Detail:1.1), Sharp focus, dramatic, soft cinematic light, (looking at viewer), (detailed pupils), 4k textures, soft cinematic light, adobe lightroom, photolab, elegant, ((((cinematic look)))), soothing tones, insane details, hyperdetailed, low contrast".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.

Sadie Sink [JG]

Hope this one is a bit more accurate! Replaced some pics in the dataset and retrained from scratch.# of pics in the dataset: 15Batch size: 3Gradient: 15Learning rate: 0.004

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