Instructions to use uriel353/leah-gotti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uriel353/leah-gotti 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("uriel353/leah-gotti") prompt = "<lora:leah-gotti:1> closeup portrait of a beautiful woman in front of a light grey background in a studio. She is looking at the viewer with a neutral face. She has long dark hair. She is wearing a pink polo shirt." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
leah-gotti

- Prompt
- <lora:leah-gotti:1> closeup portrait of a beautiful woman in front of a light grey background in a studio. She is looking at the viewer with a neutral face. She has long dark hair. She is wearing a pink polo shirt.
Model description
It's not my model. I just uploaded it here.
https://civitai.com/models/815101/leah-gotti
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 uriel353/leah-gotti
Base model
black-forest-labs/FLUX.1-dev