Instructions to use Squiddy3/NormaFoley with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Squiddy3/NormaFoley 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/NormaFoley") prompt = "Norma Foley" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Squiddy3/NormaFoley: direct link, hf CLI and curl.
- Browser
- Download file 549 Bytes
-
https://huggingface.co/Squiddy3/NormaFoley/resolve/main/README.md
- Command line
-
hf download hf://Squiddy3/NormaFoley/README.md
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curl -L -o README.md https://huggingface.co/Squiddy3/NormaFoley/resolve/main/README.md
549 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: Norma Foley
output:
url: images/Norma_Foley_e000008_00_20241106074533.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Norma Foley
Flux

- Prompt
- Norma Foley
Model description
Norma Foley
Trigger words
You should use Norma Foley to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.