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D&D Battlemaps SDXL 1.0

62
507
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Updated: Mar 15, 2025
conceptd&ddndrpgbattlemap
Verified:
SafeTensor
Type
Checkpoint Trained
Stats
160
3
9
Reviews
Published
Mar 15, 2025
Base Model
SDXL 1.0
Hash
AutoV2
BBEDB2040F
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Zapper's Avatar
Zapper

D&D battlemaps

The model is trained on fantasy battlemaps, so it works the best for medieval fantasy setting but not only limited to this.

To install just put both checkpoint and config files to your model folder and keep same names for them.

Resolution

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.

Dimensions

You can assume battlemaps dimensions as approximately 24x24 squares (120x120 feet) for normal dimensions of specific model, for example:

  • 1024x1024 generation is 24x24 battlemap

  • 1536x1024 generation is 36x24 battlemap

  • 2048x1024 generation is 48x24 battlemap

And so on. But it can be depending on concept.

Grid can be produced unintentionally but it very unlikely and also depends on concept.

Prompting

This model has no trigger words but you can refer to the graph below. X axis is tag words and Y axis is how often it was used in dataset. It is not complete tag list but these should work more or less reliable. Captioning on dataset was made not with natural language but with tags, for example "Forest, river, bridge, road". However I did not found significant difference between these prompting types on tests. Feel free to try both and share what you prefer.

Settings

Steps: 30

Sampler: DPM++ 2M SDE

Schedule type: Karras

CFG scale: 2.5

Size: 1024x1024

Sampler - I did not tried, so you can experiment and share your favorite.

CFG - you have to use pretty low values between 2 and 3. On 7 it feels really overtrained and burnt but hopefully later i will fix it. It is especially bad with high contrast concepts, like "Lava" or "Winter" and in these cases go CFG 2. In others I prefer 2.5 or 3.

Tips and Tricks

  • Try regional prompter. You can produce something like this in one generation:

  • Try draw a simple scheme of map and img2img it with denoise about 0.75

->

  • Try make scale "Smaller" with same composition. Resize generated image (for example x2) with denoise 0.5.

This one looks like 24x24

And this one is around 48x48 ->

P.S.

If you want to support new models release, you can share battlemaps you have. That would be perfect if they will be same style, good quality and no grid. Also I really want to try something not medieval fantasy, for example cyberpunk or postapocalypse like fallout.