Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
female
woman
actress
celebrity
realistic
kristen stewart
Instructions to use Keltezaa/kristen-stewart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/kristen-stewart 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("Keltezaa/kristen-stewart") prompt = "A high-resolution photograph capturing a close-up of kristen_stewart with striking red eyes and a fierce expression. She has long, dark, curly hair cascading over her shoulders, and her skin is lightly tanned with numerous freckles covering her face. Her eyes, a vivid red with black pupils, are intensely focused on the camera, giving her a supernatural or demonic appearance. Her lips are painted a bright red, matching her eyes, and she has a small, pointed fang visible in her mouth. She is wearing a black, sequined top with a metallic, studded collar that adds a touch of gothic elegance to her look. The background is slightly blurred but suggests an outdoor setting, with a hint of sunlight and a few indistinct figures, indicating a public event or gathering. The overall composition is intense and dramatic, emphasizing the woman's striking features and the contrast between her natural and supernatural elements. The photograph is sharp and detailed, capturing the texture of her hair and the intricate details of her makeup. The image exudes a sense of otherworldly allure and mystique, drawing the viewer into a surreal and captivating world." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
