Instructions to use Fixedbot/sdxl_dnd_battlemap_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fixedbot/sdxl_dnd_battlemap_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fixedbot/sdxl_dnd_battlemap_lora", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
This LoRA is trained on a hand-curated and manually inspected dataset focused on consistent, high-quality DnD battle map artwork. The model specializes in generating top-down battle mats.
The style is optimized specifically for battle maps, not world maps, large-scale overworlds, or abstract cartography.
Expect clean terrain, readable topology, and minimal artifacts when prompting correctly. You're free to mix styles, combine with tilesets, or push creative variations—this LoRA responds very well to tuning CFG and sampling methods.
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Model tree for Fixedbot/sdxl_dnd_battlemap_lora
Base model
stabilityai/stable-diffusion-xl-base-1.0