Instructions to use minpeter/soldier-sketch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minpeter/soldier-sketch 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("minpeter/soldier-sketch") prompt = "ss, a detailed sketch of a soldier in a helmet holding a modern rifle against a stark white background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
soldier-sketch
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- ss, a detailed sketch of a soldier in a helmet holding a modern rifle against a stark white background.

- Prompt
- ss, a soldier in full military gear, carrying a rifle, standing in a field of tall grass under a bright sky.

- Prompt
- ss, a printable coloring page of a soldier holding a rifle, with a simple white background for easy coloring.
Trigger words
You should use ss, to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for minpeter/soldier-sketch
Base model
black-forest-labs/FLUX.1-dev