Bounty Series #1: Jordan McEwen aka face model for Claire Redfield (Resident Evil 2). Trained on a large dataset (570+ 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

This is a remixed version of my awarded bounty here. Special thanks to Malessar for allowing the bounty to shared. Also a quick shoutout to Kwheelie for his Meticulous checkpoint, check out his work!

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 new 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:

Canadian model best known for lending her likeness for the character Claire Redfield from the video game Resident Evil 2 (2019), which is a remake of the original Resident Evil 2 (1998). She is represented by IMG Worldwide and has over 90,000 Instagram followers. 

Trigger word: ZH_JordanMcEwen,

Other useful triggers: 1girl, solo, realistic, lips, looking at viewer, long hair, brown hair, blue 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 570+ images of the subject