Instructions to use Unicorn6666/Maid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Unicorn6666/Maid 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("Unicorn6666/Maid") prompt = " A cinematic and highly detailed scene featuring a photo-realistic teddy bear with black and white fur and a checkered bow on its head, standing in the background as an observer. In the foreground, a girl dressed in a classic black-and-white maid outfit, wearing a white frilly apron and matching headpiece, is sitting comfortably on the shoulders of a tall man wearing a full black balaclava that covers his entire face, revealing only his sharp black eyes. The pair are balancing precariously on a thin rope suspended high above a soft yellow and orange landscape, with a warm and inviting atmosphere created by the blurred gradient background. The girl looks directly at the viewer with a calm and confident expression, while the balaclava-clad figure focuses ahead, maintaining their balance with skill and precision. The image has a soft yet dramatic lighting style, giving depth to the textures of the maid's fabric, the balaclava's matte material, and the plush fur of the teddy bear. Framed with elegant black borders at the top and bottom, the composition adds a cinematic and artistic touch to the overall aesthetic. Tags: 1girl, solo (from teddy bear perspective), looking at viewer, black eyes, maid outfit, frilly apron, headpiece, black hair, bow, stuffed animal, teddy bear, balaclava, masked man, male character, black clothing, rope walking, tightrope, balance, cinematic lighting, soft background, yellow background, black borders, elegant framing " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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