<a target="_blank" rel="ugc" href="https://www.instagram.com/jennifer.connelly/">Jennifer Connelly</a> is an American actress, known for many roles in films such as Labyrinth, Career Opportunities, Hulk and Requiem for a Dream, among many others. She won an Oscar for Best Supporting Actress for her role in A Beautiful Mind (2001).Appreciate my work? My TIs are free, but you can always <a target="_blank" rel="ugc" href="https://ko-fi.com/jernaugurgeh22606">buy me a coffee. </a>:)Curious about my work process? I have summarized it <a target="_blank" rel="ugc" href="https://ko-fi.com/Post/My-TI-Training-Process-E1E1V8KLC">here</a>.Updated! Please check the "About this version" section for more info.<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 (jg_jc0n:0.99), a woman, (sfw tight fashion shirt:1.2), (long jeans), in a departmentn store, natural light, (masterpiece:1.2) (photorealistic:1.2) (best quality) (detailed skin:1.2) (intricate details) (8k) (HDR) (cinematic lighting) (sharp focus), (looking at the camera:1.1), (closeup portrait:1.1), (painted lips)"

Jennifer Connelly (80s/90s)

500-step TI. Fixed rate of 0.004. Batchsize 3 and gradient accumulation 2. Dataset of 14 images with filewords.This TI could have been epic with a better dataset... But the pics I could get were mostly low res, and that shows in the final result, which I'm still quite happy with, but I know probably doesn't do Jennifer justice. The images I picked are from her "Career Opportunities" era. That is, early 90s, a time in which she was probably the most beautiful woman to walk on Earth.

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