Instructions to use Squiddy3/MaryLouMcDonald with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/MaryLouMcDonald 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/MaryLouMcDonald") prompt = "Mary Lou McDonald" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Flux

- Prompt
- Mary Lou McDonald
Model description
Mary Lou McDonald
Trigger words
You should use Mary Lou McDonald 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/MaryLouMcDonald
Base model
black-forest-labs/FLUX.1-dev