Instructions to use KappaNeuro/hasui-kawase-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KappaNeuro/hasui-kawase-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KappaNeuro/hasui-kawase-style") prompt = "Hasui Kawase Style - In the style of Kawase Hasui, envision a spirited summer scene set against the backdrop of the historic city of Kyoto. The grandeur of Mount Fuji looms in the distance, its iconic, snow-capped peak forming a striking contrast to the balmy summer atmosphere. As the sun gracefully descends, the sky transforms into a tapestry of twilight hues, setting the stage for an evening of enchantment. The night sky comes alive with the vibrant bloom of hanabi, each burst of color reflecting in the tranquil waters of the Kamo River below. Along the riverbanks, festival-goers clothed in vibrant yukatas add to the colorful spectacle, their laughter and merriment echoing into the night. Kyoto's timeless architecture forms a captivating silhouette against the illuminated sky, a testament to the city's harmonious blend of tradition and modernity. This is a celebration of a Kyoto summer at its zenith, brought to life with the expressive detail and intricate color pallet characteristic of Hasui's work32K" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
