Instructions to use ValentinaI/Lora_Lena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ValentinaI/Lora_Lena 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("ValentinaI/Lora_Lena") prompt = "Lora_Lena a beautiful girl with red hair, chic curly hair on the shoulders, big brown eyes, a cute flirty smile, a choker in the color of a dress decorated with diamonds around her neck, on a turquoise dress of the 19th century decorated with rich embroidery and rhinestones below voluminous velvet magnolias gradient effect, aesthetically pleasing, beautiful, realistic, professional photo, 4k, high resolution, high detail, 30mm lens, 1/250s, f/2.8, ISO 100, bright lighting v.2.0" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
LORA_LENA

- Prompt
- Lora_Lena a beautiful girl with red hair, chic curly hair on the shoulders, big brown eyes, a cute flirty smile, a choker in the color of a dress decorated with diamonds around her neck, on a turquoise dress of the 19th century decorated with rich embroidery and rhinestones below voluminous velvet magnolias gradient effect, aesthetically pleasing, beautiful, realistic, professional photo, 4k, high resolution, high detail, 30mm lens, 1/250s, f/2.8, ISO 100, bright lighting v.2.0
Trigger words
You should use Lora_Lena 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 ValentinaI/Lora_Lena
Base model
black-forest-labs/FLUX.1-dev