Instructions to use FunkingGod/AbbyShapiro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FunkingGod/AbbyShapiro 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/AbbyShapiro") prompt = "A medium shot photorealistic portrait of Abby Shapiro wearing a thin tight turtleneck shirt" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
AbbyShapiro

- Prompt
- A medium shot photorealistic portrait of Abby Shapiro wearing a thin tight turtleneck shirt
Model description
Abigail Shapiro
Trigger words
You should use Abby Shapiro 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/AbbyShapiro
Base model
black-forest-labs/FLUX.1-dev