Instructions to use ms2stationthis/miladyy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/miladyy 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("ms2stationthis/miladyy") prompt = "miladyy, This is a digital drawing in an anime style. The subject is a young, blonde-haired girl with large, expressive blue eyes, wearing a white visor with a red \"C\" logo, a yellow blouse, and a pink floral skirt. She is holding a black assault rifle with both hands. The background is plain white, and bold, black and orange text reads, \"I'M JOINING THE WAR ON AUTISM ON THE SIDE OF THE AUTISM.\" The girl's expression is neutral, and her attire is reminiscent of a casual, yet slightly formal outfit. The drawing uses soft, pastel colors and has a clean, digital finish." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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