Instructions to use ms2stationthis/nanase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/nanase 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/nanase") prompt = "nanase, This is a colored pencil drawing of a young girl with light brown, shoulder-length hair, smiling widely with her eyes closed. She has fair skin and is depicted in a school uniform, wearing a light blue shirt with a blue and white striped tie. Her left hand is raised to her head, adjusting her hair. The background features soft, green and yellow brushstrokes, adding a sense of warmth and happiness to the image. The girl's expression is joyful and carefree. The artist's signature, \"YUMI 2020,\" is in the bottom left corner. The overall style is cute and anime-inspired." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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