this post was submitted on 15 Oct 2023
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Battle Maps - DND/TTRPG Battlemaps

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Welcome to [email protected]! We're a vibrant community of DnD and tabletop gaming enthusiasts, creators, and admirers dedicated to sharing and discussing diverse maps of our cherished tabletop universes. Regardless of whether you're an expert cartographer or a novice, we're thrilled to embark on this creative journey with you.

What We Are: A tight-knit community fostering a supportive and inclusive environment for sharing, discussing, and appreciating maps for Dungeons & Dragons and other tabletop games.

How to Contribute: Share your creations by clicking "Create Post" and upload your map. Use a descriptive title to give a snapshot of your map. The description can elaborate the context, design process, or the story behind the map.

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Let's embark on this journey together, shaping the worlds of our imaginations into unforgettable maps. Welcome aboard, fellow cartographers!

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Pumpkins adorn the path just out of town. The villagers put them out every year as an offering to ward off evil spirits. It has worked for them every other year...

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[–] DrakeRichards 3 points 8 months ago (1 children)

You’ve said in the past that you use MidJourney to generate the images and then finish them in GIMP. Have you considered instead using a local Stable Diffusion installation? You have more than enough images to train a LoRA or maybe even a whole model in your style.

[–] maunamaps 2 points 8 months ago

It is something I'm interesting in exploring. There are multiple challenges in AI map generation. I think it will be a lot of work to get right. In particular, maps are made up of many parts, and their image names alone do not describe the parts of the image, and often time are colorful and don't even describe the map in a specific way.

For instance, a tavern map might be named "Weary Tavern" but how can the AI model know which parts are tables, chairs, stairs, bars, and so forth, so that they can be produced from a prompt?

I'm not sure how tagging parts of images for training works in stable diffusion but it's on my list to check out when I have the bandwidth.