Instructions to use NeuralGL/policesketches with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeuralGL/policesketches 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("NeuralGL/policesketches") prompt = "Close-up front-view shot of Donald Trump wearing suit, light gray background, in style of policesketches" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
policesketches
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- Close-up front-view shot of Donald Trump wearing suit, light gray background, in style of policesketches

- Prompt
- Pretty 20yo woman, gently smiling, frontal close-up shot, wearing a dress, white background, in style of policesketches
Trigger words
You should use policesketches 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 NeuralGL/policesketches
Base model
black-forest-labs/FLUX.1-dev