A commission of @hmonk.

Melissa Benoist is an American actress and singer, mostly known for portraying the title role in the TV show Supergirl, but also for her roles in films such as Whiplash, The Longest Ride or Patriots Day, among many others.

This is a 135-step TI trained on a dataset of 15 images with these settings.

Curious about my work process? I have summarized it here.

Do you have a specific idea for a TI in mind? Visit my website and let me know.

Building a good prompt with my TIs

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 (mbeno1st:0.99), a woman, perfect hair, posing seductively, (modern photo, __attire_mix__), (closeup portrait), jewelry, 24mm, (analog, cinematic, film grain:1.3), (outside of Berghain Panorama Bar, nighttime, gritty), ((detailed eyes)), (epicPhoto), (color picture:1.1)".

Please also note that I'm using the "add detail" LoRA for my example pics. I recommend setting it around 0.5 for best results. CLIP Skip should always be set at 1 when generating pics with this TI.