Instructions to use Synetecs/sketchy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Synetecs/sketchy 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("Synetecs/sketchy") prompt = "A guy sitting on a bench , GETSKETCHY --s 28" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
sketchy
A Flux LoRA

- Prompt
- A guy sitting on a bench , GETSKETCHY --s 28

- Prompt
- A boy running , GETSKETCHY --s 28

- Prompt
- A sunrise with birds on the horizon , GETSKETCHY --s 28
Trigger words
You should use GETSKETCHY 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 Synetecs/sketchy
Base model
black-forest-labs/FLUX.1-dev