Marguerite NHML

The Near Hentai Monthly Lady for October 2020 is Marguerite from One Piece (I think her name was localized to Margaret, but I’m going to be calling her Marguerite). I never saw this part of One Piece, but I guess she’s an amazon or something like that. She has two other characters she seems to appear with frequently, one who I chose not to use here and one named Aphelandra, who I decided to partner Marguerite up with. Aphelandra’s some sort of giantess, towering over most of the other characters (I think one or two of the other amazonian women might be taller, I’m not sure, their sizes are all over the place). I thought a fun size difference yuri pic would be nice, so that’s what we’ve got here. Due to the size difference, Marguerite comes across as less of the star of this pic, with Aphelandra taking up most of the frame, but that’s just kinda how it goes in this case.

With this post, NHML nominations for the month of November are now open. For those who don’t know, I’ll run down the rules real quick. Nominations are limited to one per person. You can nominate any female character you want, provided I have not drawn her within the past calendar year (though I prefer characters I’ve never drawn, period). Previous NHML winners are not eligible for a second time. Nominees must also not be from the same franchise as this month’s winner, One Piece. If you violate any of those rules, I’ll let you know, and you can nominate someone else. I know it can be hard to keep track of these things. You may nominate by either commenting in the cBox, commenting on this post, or emailing me (Nearphotison2010@yahoo.com). I’ll compile a list of the nominees in the sidebar of this site, and then on November 1st I will use a randomizer to select the winning character who I will proceed to draw sometime that month. I look forward to seeing who you all nominate this time around!

Comments

Leave a Reply to Quras93 Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.