Instagram Model Series #1: Maria Miri Domark. Trained on a large dataset (590+ images). Sample images generated WITHOUT any other LoRAs as a demonstration of this LoRA's capabilities.

Check out my checkpoint merges here: Aneurysm (photoreal), Acoustica (semi-real) and Anabolic (modern anime). Download my other LoRAs here

I'd like to get to 1K followers so comments/reviews/likes/follows are most welcome, as are tips/buzz so I can keep making these! I'd love to see the images you create, so please share on here or reach me on Discord (zombiehead91). Feel free to message me on Civitai's messaging feature too.

Notice : Usage of this resource is ONLY permitted for educational, personal and non-commercial use. Please observe the permissions listed on this page - do NOT share this resource anywhere else without my knowledge, especially on other sites for commercial use. Please be respectful of the subject and CivitAI terms of use, and avoid all NSFW content. No warranty is provided, and the user bears responsibility for any/all use of this resource. Happy to discuss this further on Discord if unclear

About the subject:

Israeli singer & former model of Russian descent, who first came to prominence on Instagram (with over 1 million followers), due to her amazingly slender waist. She parlayed her Internet fame into appearances on the local edition of the Big Brother reality tv series, quickly becoming a well-known personality. In recent years, she's transitioned away from modeling bikinis and the like, working towards becoming an EDM/future-pop recording artist instead.

Trigger word: ZH_MariaMDomark,

Other useful triggers: 1girl, solo, realistic, looking at viewer, blonde hair, brown hair, pink hair, long hair, brown eyes (see tags in LoRA for full list).

Suggested settings

ADetailer, hi-res.fix use is recommended.
Suggested settings : 0.9 to 1, Clip Skip: 1, ADetailer: eyes only
Method: DPM++(3M or 2M) SDE Karras, Steps:30-50, CFG : 6-7, 512x768 + high res fix with 2x upscale

About the training data:

This LoRA was trained on 590+ images of the subject