Instructions to use Jonjew/BarbaraPalvin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BarbaraPalvin 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("Jonjew/BarbaraPalvin") prompt = "<lora:Barbara_Palvin:1> woman hyper realistic photography, intricate depiction of an angel, slight loving smile, beautiful long wavy hair, wearing an intricately detailed yet modest bright white silk painter's smock that covers the body up to the neck, from above, rosy cheeks, extreme close-up, with grand, flowing wings in the style of traditional art, clean and flawless finish on the angel's form, maintain meticulous detail throughout, with each wing feather carefully rendered, octane render, highly detailed, volumetric, dramatic lighting, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, background is sky and clouds at golden hour, god rays, sunset, staring directly and intently at viewer, making eye contact, looking directly at viewer, face centered, body centered, body turned towards viewer, super ultra extreme close-up, modest, high neckline <lora:zz_s_Chest_Size_Slider:-2>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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