Laura Grassi is an Italian model and social media influencer.
This is a 130-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 (lgr4ss1:0.99), a woman with perfect hair, wearing Crimson (Wrap Blouse, Linen Pants:1.1), (city:1.1), closeup portrait, (happy) modelshoot style, (extremely detailed CG unity 8k wallpaper), professional majestic photography, (Leica M6 Camera), 24mm, exposure blend, hdr, faded, extremely intricate, High (Detail:1.1), Sharp focus, dramatic, soft cinematic light, (looking at viewer), (detailed pupils), 4k textures, elegant, ((((cinematic look)))), soothing tones, insane details, hyperdetailed, low contrast".
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.
Description
130-step TI trained on a dataset of 15 images with these settings.
FAQ
Comments (3)
I'm using Comfyui, how can I gain the best results? It's close but nowhere near your output.
FYI using Add detail, A111 format weighting etc.
Hey @BOOKSonTOP! I'm really sorry but I've never used Comfy, so I can't offer you any advice on that. :( I think some creators like @ElizaPottinger and other users here like @NoobFromEgypt have at least some experience using Comfy, so perhaps they can help!
I am your fan, however unfortunately, this is the most unsuccessful model of your work. It is very difficult to depict her crying or with her mouth open. Possibly can only make her smile
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.