Instructions to use SedatAl/ballpoint-pen-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SedatAl/ballpoint-pen-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("SedatAl/ballpoint-pen-lora") prompt = "blue ballpoint drawing of a renaissance building facade" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("SedatAl/ballpoint-pen-lora")
prompt = "blue ballpoint drawing of a renaissance building facade"
image = pipe(prompt).images[0]Ballpoint Pen Flux LoRa

- Prompt
- blue ballpoint drawing of a renaissance building facade

- Prompt
- blue ballpoint drawing of a close up skyscraper

- Prompt
- blue ballpoint drawing a view of a mosque framed by a window

- Prompt
- blue ballpoint drawing of a window seeing wavy sea and rocks beneath
Trigger words
You should use blue ballpoint drawing to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for SedatAl/ballpoint-pen-lora
Base model
black-forest-labs/FLUX.1-dev