Instructions to use Genzim/dingpencil-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Genzim/dingpencil-lora 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("Genzim/dingpencil-lora") prompt = "dingpencil portrait, hand-drawn naive comic art, simple oval face with minimal features, flat colored pencil fill, bold black pen outlines, notebook paper background with blue lines, childlike proportions, simple hair with few strokes, flat colors no shading, Brazilian amateur HQ style 1980s, bust-up shot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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