Instructions to use DavidBaloches/Fluxartis_Photography with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavidBaloches/Fluxartis_Photography 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("DavidBaloches/Fluxartis_Photography") prompt = "A Cinematic Photography. Black-and-white photograph captures a young woman seated at a small round table in a cozy café setting. She is positioned slightly off-center to the right, with her left elbow resting on the table and her head propped up on her hand, giving her a contemplative, pensive expression. Her hair is straight and falls just below her shoulders, framing her face. She is wearing a form-fitting, long-sleeved black dress that accentuates her slender physique, paired with opaque black tights and glossy black high-heeled shoes. The table in front of her is simple, with a small white cup or saucer, likely for a beverage, placed on it. The café's interior features a rustic charm, with metal folding chairs and a wooden table with a worn finish. The background shows the glass front of the café, revealing a blurred street scene with parked cars and other indistinct objects, suggesting a bustling urban environment. The lighting is soft, likely natural, creating gentle shadows and highlights that enhance the textures of her clothing and the café's surfaces. The overall atmosphere is intimate and reflective, with a touch of melancholy due to the monochrome palette." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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