A commission of <a target="_blank" rel="ugc" href="https://civarchive.com/user/findingavarice521">@findingavarice521</a>.<a rel="ugc" href="https://www.instagram.com/parisdylan550/?hl=en">Paris Dylan</a> is an American model and social media personality, known for appearing in some reality TV shows and for being the girlfriend of famous songwriter Don McLean (of American Pie fame).4200-step TI trained on a dataset of 18 images with 1 batch size and gradient acc. steps. While on holidays, I'll use this setup when I train TIs on my brother's PC (@zepekenh0, check out his <a rel="ugc" href="https://civarchive.com/models/84124/mary-elizabeth-winstead">debut TI</a> cause I think it's pretty good ^^). I'll also keep using @Scottymac's free online colab to experiment with different settings every now and then.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 (usual) 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 id="heading-27">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 beautiful (p4r1sdy:0.99), a woman as a movie star, hair upsweep updo, sweater off-shoulders, trousers, at a movie premiere gala, dark moody ambience (masterpiece:1.2) (photorealistic:1.2) (bokeh) (best quality) (detailed skin:1.2) (intricate details) (nighttime) (8k) (HDR) (cinematic lighting) (sharp focus), (looking at the camera:1.1), (closeup portrait:1.1)"

Paris Dylan

4200-step TIdataset of 18 images1 batch size and gradientfixed learning rate of 0.004

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