Instructions to use Keltezaa/AleksandraBortich with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/AleksandraBortich 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("Keltezaa/AleksandraBortich") prompt = "Aleksandra Bortich" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("Keltezaa/AleksandraBortich")
prompt = "Aleksandra Bortich"
image = pipe(prompt).images[0]Aleksandra Bortich
Model description
Aleksandra Bortich
Trigger words
You should use Aleksandra Bortich to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 26
Model tree for Keltezaa/AleksandraBortich
Base model
black-forest-labs/FLUX.1-dev