Instructions to use veravira/ann_demeulemeester with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use veravira/ann_demeulemeester 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("veravira/ann_demeulemeester") prompt = "a model wearing a stylish and contemporary outfit. The ensemble includes: A long, sheer knit dress in an olive-green hue. The knit is loose and semi-transparent, revealing layers underneath while providing an elongated silhouette. A crisp white shirt with exaggerated cuffs that peek out from the sleeves of the knit dress, adding structure and a contrasting texture. Black leather shoes with a polished and minimalist design, grounding the outfit. A black handbag with a metallic chain detail, featuring intricate embellishments for a luxurious and edgy touch. The model's hair is styled in a short, tousled, and slightly wavy look, enhancing the overall modern aesthetic. The outfit conveys an avant-garde, layered fashion statement blending femininity and edge., ANN" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#2 opened over 1 year ago
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veravira