Instructions to use Alexia43534/vinolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alexia43534/vinolo 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("Alexia43534/vinolo") prompt = "vigt4r, hyper-realistic portrait of a stunning 20-year-old female model, close-up shot, soft golden hour lighting, ultra-detailed skin with natural pores, expressive hazel eyes, glossy lips, cinematic depth of field, subtle makeup, warm bokeh background, Instagram viral aesthetic, shot on iPhone 15 Pro Max, 4K resolution, cinematic color grading." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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