Instructions to use Jonjew/CaraDelevingne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/CaraDelevingne 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/CaraDelevingne") prompt = "<lora:Cara_Delevingne:1> woman, 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> a photograph of the cover of the November 2024 issue of Rolling Stone magazine. The cover features a stylized, vibrant design, with the title \"ROLLING STONE\" prominently displayed in Parkinson font in bold and white capital letters at the top. Beneath that is the text \"Cara Delevingne - What's with those eyebrows?\". The rest of the cover has a red theme background with a gradient of rich dark reds, with the lighter shades at the top and darker shades towards the bottom, creating a dramatic effect. There is an extreme close-up of the subject" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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