A commission of <a target="_blank" rel="ugc" href="https://civarchive.com/user/Zorglub">@Zorglub</a>.<a rel="ugc" href="https://www.instagram.com/therealfluffnotaro/?hl=en">Mathilde </a><a rel="ugc" href="https://twitter.com/TigNotaro">'Tig' Notaro</a> is an American actress and stand-up comedian who has been nominated several times for Grammy Awards. She's also gained notoriety after being part of the cast for the TV show Star Trek: Discovery.130-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">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 (t1gn0tar0:0.99), a woman as a movie star, plaid tweed jacket, long sleeve top, long 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)"

Tig Notaro

130-step TI trained on a dataset of 15 images with <a target="_blank" rel="ugc" href="https://imgur.com/a/atFd9CX">these settings</a>.

Files with SHA256: 2f4610c09b86653a722341105e360146d75fa89447c945f1aa4b5a7676577680