Instructions to use FunkingGod/wlop-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FunkingGod/wlop-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("FunkingGod/wlop-lora") prompt = "a portrait of a woman wlop" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
wlop

- Prompt
- a portrait of a woman wlop
Model description
Wlop lora
Trigger words
You should use wlop 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 FunkingGod/wlop-lora
Base model
black-forest-labs/FLUX.1-dev