Instructions to use LGB1980/lucabonadhta1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LGB1980/lucabonadhta1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("LGB1980/lucabonadhta1") prompt = "photo of lucadhta23" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
lucabonadhta1
Model description
LoRA trained on portrait images to reproduce a consistent photographic style and facial features. Best used with the trigger word “lucadhta23”.
Trigger words
You should use photo of lucadhta23 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-portrait-trainer.
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