<a rel="ugc" href="https://www.instagram.com/lauraceliav/?hl=en">Laura Celia</a> is a Dutch model and social media personality, with around 300K followers on Instagram.250-step TI trained on a dataset of 15 images with <a target="_blank" rel="ugc" href="https://imgur.com/a/atFd9CX">these 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 id="heading-386">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 (l4uc3lia:0.99), a woman as a movie star, 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)"

Laura Celia

This version was trained with <a target="_blank" rel="ugc" href="https://civitai.com/user/Scottymac">@Scottymac</a>'s free colab (<a rel="ugc" href="https://colab.research.google.com/github/scottymac/stable_diffusion_misc/blob/main/textual-inversion-person-caption-v1.ipynb">link here</a>).Steps: 400Learning rate: 0.004 (fixed)Batch size: 5Gradient: 3Images in the dataset: 15

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