<h1>D&amp;D battlemaps</h1>The model is trained on fantasy battlemaps, so it works the best for medieval fantasy setting but not only limited to this.<h2>Resolution</h2>You need to use width and height not less than resolution 1024 but you can make it larger and that works perfectly just producing bigger battlemap.<h2>Dimensions</h2>You can assume battlemaps dimensions as approximately 24x24 squares (120x120 feet) for normal dimensions of specific model, for example:<ul><li>1024x1024 generation is 24x24 battlemap</li><li>1536x1024 generation is 36x24 battlemap</li><li>2048x1024 generation is 48x24 battlemap</li></ul>And so on.Also sometimes square gird is visible and you can rely on this.<h2>Prompting</h2>Main trigger word is "Battlemap". You can try everything after this word but you can get best results generating something in medieval fantasy setting.Two second trigger words are "Dungeon" and "Outdoor". Use the first one for closed space, usually underground (e.g. dungeons, mines, caves, castles, labyrinths, etc.) and second for open space (e.g. forest, city, sea)Link to huggingface for 1024: <a target="_blank" rel="ugc" href="https://huggingface.co/Zapper/battlemap-1024">https://huggingface.co/Zapper/battlemap-1024</a>Link to huggingface for 768: <a target="_blank" rel="ugc" href="https://huggingface.co/Zapper/battlemap-768-v-10">https://huggingface.co/Zapper/battlemap-768-v-10</a>

D&D battlemaps

Trained on 1024 resolution. Requires more vram for run than 768, but gives much more detailed results. Also gives slightly different results as side affect. Hopefully in the future I could decrease it.Important: This model is trained on 1024 resolution pictures so you must use at least 1024 dimensions when run. But this works perfectly, if you run more than 1024 (e.g. 1024x2048) generating just bigger battlemap.

dDBattlemaps_1024V10.ckpt

dDBattlemaps_1024V10.safetensors

dDBattlemaps_1024V10.yaml

1024 v1.0

1024 v2.0

768 v1.0

Trained on 1024 resolution. Requires more vram for run than 768, but gives much more detailed results. This version works better in some cases and worse in some cases. As for me, this version is more stable and works better with non-structures. Important: This model is trained on 1024 resolution pictures so you must use at least 1024 dimensions when run. But this works perfectly, if you run more than 1024 (e.g. 1024x2048) generating just bigger battlemap.Important #2: V 2.0 Do not require any trigger words. Just describe normally.

Files with SHA256: e1899dae2d0ac1f1f44915e2bff4dd94c4afc649f1166a09b798afa0af3ed5b1