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

- Prompt
- DEFENDER_OCTA on a road
Trigger words
You should use DEFENDER_OCTA to trigger the image generation.
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Model tree for Luiiiiiigi/DEFENDER_OCTA
Base model
black-forest-labs/FLUX.1-dev