, a woman, RAW, close portrait photo, long brown coat, long haircut, pale skin, slim body, (high det.jpeg)
, a woman as a sexy policewoman, (wearing a zipper police uniform with cleavage_1.2), (trousers), (o.jpeg)
, a woman in the cover of a fashion magazine, (magazine cover_1.3), (pervpulp15_1.2), modelshoot sty.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of th.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of th.jpeg)
Type | |
Stats | 1,149 |
Reviews | (118) |
Published | Jun 23, 2023 |
Base Model | |
Training | Steps: 500 Epochs: 166 |
Trigger Words | m3kiac0x-500 |
Hash | AutoV2 34DB9F854B |
A commission of @Zorglub.
Mekia Cox is an American actress and dancer, known for her roles in series such as 90210 or The Rookie.
This is a 500-step TI trained on a dataset of 18 images with my usual settings.
For some reason, it seems like reducing the token count to 2 is making my TIs train faster now... I'm not sure, it might be just a lucky streak, but both this TI and Sara Underwood's looked almost ready from a very early stage in their respective trainings. I'll keep testing with this setting.
Appreciate my work? My TIs are free, but you can always buy me a coffee. :)
Curious about my work process? I have summarized it here.
How to create a good prompt using 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 (m3kiac0x-500:0.99), a woman, RAW, close portrait photo, long brown coat, long haircut, pale skin, slim body, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3 sharp focus, f 5.6"