Instructions to use Jonjew/BrookeShields80s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BrookeShields80s 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("Jonjew/BrookeShields80s") prompt = "<lora:Brooke_Shields_Flux:1> The image is a color photograph featuring a young woman. She is wearing a vibrant red strapless dress with a sweetheart neckline and a fitted bodice. The dress has a ruffled skirt that flares out at the hips, giving it a playful and voluminous look. The fabric of the dress appears to be a smooth, satin-like material, which contrasts with the texture of the ruffled skirt. The woman has wavy brown hair styled in a voluminous, 1980s-inspired fashion, with some strands falling loosely around her face. She is accessorized with large, dangling earrings adorned with red and black beads, which add a bold and dramatic touch to her outfit. Her expression is poised and confident, with her right hand resting on her hip and her left arm relaxed at her side. The overall composition and styling of the photograph evoke a sense of retro glamour, reminiscent of the fashion trends of the 1980s. Standing in a cafe, looking at the viewer smiling." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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