Model
Trends
.ai
Model
Trends
.ai
nejlepší open source AI modely
AD
<woollard-sisters-ti>
O tomto modelu
STABLE DIFFUSION 1.5 · Embeddingy
__html__The Woollard sisters, Meika and India, are Australian models and social media personalities. By the way, this is (or rather these are) my 300th TI published at CivitAI. Hope you enjoy it, and thanks everybody for your huge support since I started creating TIs back in February. It truly has been a pleasure to become a part of this fantastic community.These embeddings have been trained on a dataset of 15 images with these settings. Meika's is a 140-step TI, and India's a 135-step one.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 TIsYou'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 (me1kaw:0.99), a woman with perfect hair, wearing Sandstone (striped shirt:1.1), (fantasy city:1.1), (closeup portrait), 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 t
ID modelu ModelTrends.ai
#11679
Nahlásit obsah
AI modely pro generování obrázků, videa a textu
woollard sisters ti je embedding pro rodinu Stable Diffusion 1.5 uvedený na ModelTrends.ai, katalogu open source AI modelů pro obrázky, video a text určeném jen ke čtení. Porovnejte ho s dalšími modely Stable Diffusion 1.5, podívejte se na jeho skóre žhavosti a vyzkoušejte ho na PirateDiffusion nebo BitVector.
Procházet podle rodiny modelů
Procházet všechny modely