Instructions to use Squiddy3/DarraghOBrien with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/DarraghOBrien 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("Squiddy3/DarraghOBrien") prompt = "Darragh OBrien" 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("Squiddy3/DarraghOBrien")
prompt = "Darragh OBrien"
image = pipe(prompt).images[0]Flux

- Prompt
- Darragh OBrien
Model description
Darragh O'Brien
Trigger words
You should use Darragh O'Brien 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 Squiddy3/DarraghOBrien
Base model
black-forest-labs/FLUX.1-dev