Instructions to use minpeter/soldier-sketch-schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minpeter/soldier-sketch-schnell 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-schnell", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("minpeter/soldier-sketch-schnell") prompt = "ss, a soldier is using a map and compass to navigate through dense jungle." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
soldier-sketch-schnell
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- ss, a soldier is using a map and compass to navigate through dense jungle.

- Prompt
- ss, a lone soldier is sitting on a rock, looking out over a vast landscape.

- Prompt
- ss, a close-up shot of a soldier's face, showing determination and resilience.
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-schnell
Base model
black-forest-labs/FLUX.1-schnell