Instructions to use KappaNeuro/kirigami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KappaNeuro/kirigami 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/kirigami") prompt = "KIRIGAMI - Kirie. Kirigami. A tale of the most romantic folk lore story, told in layered Papercutting. Shadowbox. Layered presentation folklore narrative telling. Fine details. Professional art. High production value. Tilt-shift photography. Fluorescent bright color paints and fine point details. Purple/Black/Green color layer shift. Augmented projection mapped lighting showing lifelike microscopic details. laser etched detail. Story telling craft." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download 2325108.jpeg from KappaNeuro/kirigami: direct link, hf CLI and curl.
- Browser
- Download file 36.3 kB
-
https://huggingface.co/KappaNeuro/kirigami/resolve/main/2325108.jpeg
- Command line
-
hf download hf://KappaNeuro/kirigami/2325108.jpeg
-
curl -L -o 2325108.jpeg https://huggingface.co/KappaNeuro/kirigami/resolve/main/2325108.jpeg
36.3 kB
