
Natalie Lee, better known as NataLee, Instagram model and influencer.
Update: I wasn't 100% happy with version 2.0 and I've retrained the TI from scratch with my current settings. The current version (3.1) is step 130 of the new embedding. I'll probably add step 135 later at some point as version 3.0, since I think it's also pretty accurate and I had some trouble deciding between the two.
Curious about my work process? I have summarized it here.
Appreciate my work? My TIs are free, but you can always buy me a coffee. :)
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 (natal33:0.99), a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of the most beautiful artwork in the world, professional majestic oil painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, photorealistic painting art by midjourney and greg rutkowski, (white turtleneck top:1.2), ((movie premiere)), (long skirt), ((standing near a movie theater)), ((paparazzi in the background)), (looking at viewer:1.2), (detailed pupils:1.3), ((closeup portrait:1.1))"
描述:
I thought it was about time I gave my very first embedding a paint-job. When I created it, I thought it was a poor attempt because I didn't really know how TIs worked and I was building pretty poor prompts. In retrospect, I now think it was at least a very decent TI, and I'm not really sure this new version improves upon it. I'll let you judge.
The new version is an 1800-step TI. I removed 5 pics from the original dataset of 23 to leave it at 18, and applied my usual settings.
训练词语: jg_n4t4lee
名称: jg_n4t4lee.pt
大小 (KB): 16
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success