Instructions to use uriel353/alina-becker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uriel353/alina-becker 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("uriel353/alina-becker") prompt = "breathtaking highly detailed and professional photograph of a close-up of Alina Becker with natural makeup and dark slightly wavy long hair, taking a selfie outdoors in a snowy environment. She is looking at the viewer with her beautiful green eyes with black pupils, and has a confident and friendly smile. Her mouth is closed when she smiles, which hides her teeth. She is dressed in a black long-sleeve top, which contrasts with the bright snow and rocky background. The lighting in the image is soft, due to the reflection of sunlight off the snow, which creates a cool and natural atmosphere. Photograph taken with high quality camera and ISO 1600, f/5.6 aperture, soft lighting, high detail" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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