Instructions to use glif-loradex-trainer/dham_medieval_iso_rts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/dham_medieval_iso_rts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("glif-loradex-trainer/dham_medieval_iso_rts") prompt = "TOK style an orc pit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("glif-loradex-trainer/dham_medieval_iso_rts")
prompt = "TOK style an orc pit"
image = pipe(prompt).images[0]medieval_iso_rts
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user dham.

- Prompt
- TOK style an orc pit

- Prompt
- TOK style a dragonhide farm

- Prompt
- TOK style onyx mine
Trigger words
You should use TOK style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/dham_medieval_iso_rts
Base model
black-forest-labs/FLUX.1-dev