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STABLE DIFFUSION 1.5 · Embeddings
__html__Sisi Stringer is an Australian actress born in 1997. She gained recognition for her role as Mileena in the 2021 film Mortal Kombat, and has recently starred in Vampire Academy.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 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 (s1s1str1nger:0.99), a woman with perfect curly hair, wearing Golden Yellow (cassock:1.1), (cosmic background:1.1), (closeup), 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. CLIP Skip should always be set at 1 when generating pics with this TI.
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sisi stringer ti é um embedding para a família Stable Diffusion 1.5 listado no ModelTrends.ai, um catálogo somente leitura de modelos de IA de código aberto para imagem, vídeo e texto. Compare-o com outros modelos Stable Diffusion 1.5, veja a pontuação de calor para acompanhar a tendência e abra-o no PirateDiffusion ou BitVector para experimentar.
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