General
PromptBeginner5 minmarkdown
mirror glitches
double reflections
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Explore
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37,413 skills indexed with the new KISS metadata standard.
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General
PromptBeginner5 minmarkdown
imperfections: Slight noise
imperfect framing
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General
PromptBeginner5 minmarkdown
fidelity: Fabric texture
metal reflections realistic
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General
PromptBeginner5 minmarkdown
tone: Minimalist chic
confident
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General
PromptBeginner5 minmarkdown
shadows: Soft shadows under chin
coat folds
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General
PromptBeginner5 minmarkdown
focus: Face readable
outfit sharp
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General
PromptBeginner5 minmarkdown
framing: 4:5 IG feed
full body visible
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General
PromptBeginner5 minmarkdown
gaze: Looking at mirror reflection
calm confident
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General
PromptBeginner5 minmarkdown
legs: One knee slightly bent
weight shifted to one hip
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General
PromptBeginner5 minmarkdown
head_position: Chin slightly down
casual
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General
PromptBeginner5 minmarkdown
build: Natural
fit
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General
PromptBeginner5 minmarkdown
skin_details: Pores visible
natural tone variation
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General
PromptBeginner5 minmarkdown
eyes: Expressive
natural catchlights
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General
PromptBeginner5 minmarkdown
texture: Real strands
slight frizz
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General
PromptBeginner5 minmarkdown
style: Low ponytail or loose waves
casually arranged
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Coding
PromptBeginner5 minmarkdown
AGENTS.md
This file provides guidance to WARP (warp.dev) when working with code in this repository.
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General
PromptBeginner5 minmarkdown
demographics: Adult woman
21-27
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Coding
PromptBeginner5 minmarkdown
Hi robots, welcome to the Safe-PDF project.
Safe-PDF is an open-source, high-performance PDF reader and renderer built in Rust.
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General
PromptBeginner5 minmarkdown
Elevator Mirror OOTD (full-body)
{
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Creative
PromptBeginner5 minmarkdown
cgi
cartoon
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General
PromptBeginner5 minmarkdown
readable text
logos
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Coding
PromptBeginner5 minmarkdown
Tomlyn Code Contribution Instructions
- In the `readme.md` file, you will find general information about the Tomlyn project.
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General
PromptBeginner5 minmarkdown
plastic skin
over-smoothing
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Coding
PromptBeginner5 minmarkdown
Repository Guidelines
Use this guide to make concise, high-signal contributions to the generalized k-means clustering library.
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