<h1 id="izidora-is-a-summer-muse-in-her-late-20's.-46zvgdeca">Izidora is a Summer Muse in her late 20's.</h1>Izidora is a fictitious person. This Textual Inversion (TI) was designed to embody a timeless beauty inspired by alluring elegance and athleticism.This is purely an experiment aimed at helping me understand vectors within TI's and v1 has many weaknesses I aim to improve (e.g., hair color consistency, face consistency). The aim of Izidora, in contrast to <a target="_blank" rel="ugc" href="https://civarchive.com/models/1278755/floriane">Floriane</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/993946/snofrid">Snöfrid </a>and <a target="_blank" rel="ugc" href="https://civarchive.com/models/1003684/marsaili">Marsaili</a>, is that vectors for fashion and clothing texture styles were included.<h2 id="izidora-ti-changelog:-0nds15o1z">Izidora TI Changelog:</h2>v2 - Merge with face trained TI.To further this experiment, I merged v1 with <a target="_blank" rel="ugc" href="https://civarchive.com/user/Cyberdelia">Cyberdelia's </a><a target="_blank" rel="ugc" href="https://civarchive.com/models/1145625?modelVersionId=1300843">CyberRealistic GenAether Marieke Willems. </a>I think they still have enough different vectors to be distinct from each other. v1 - Initial experimental version.Initial experimental version that uses the <a target="_blank" rel="ugc" href="https://github.com/klimaleksus/stable-diffusion-webui-embedding-merge">embedding merger tool</a> to focus on facial features, leaving backgrounds, and art styles entirely up to the user's creative direction. There are some style tokens to push it towards glamour and fashion photography. This approach was chosen to hopefully sidestep common pitfalls seen in other embeddings, such as over-fitting to training artifacts, feature entanglement, poor dataset curation, and prompt hijacking—where a TI imposes its learned context too strongly, overriding user-specified prompts. The result is a versatile tool that maintains the core essence of Izidora's facial and body shape features while enabling dynamic adaptability across different styles, contexts, and artistic visions.

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