Instructions to use MomlessTomato/hanamaru-kunikida with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/hanamaru-kunikida with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Linaqruf/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MomlessTomato/hanamaru-kunikida") prompt = "high quality, defined pupil, looking at viewer, rounded pupil, defined iris, (soft iris:1.2), torso shadow, long hair, bangs, mole, hairclip," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download regularization.zip from MomlessTomato/hanamaru-kunikida: direct link, hf CLI and curl.
- Browser
- Download file 1.65 GB
-
https://huggingface.co/MomlessTomato/hanamaru-kunikida/resolve/main/regularization.zip
- Command line
-
hf download hf://MomlessTomato/hanamaru-kunikida/regularization.zip
-
curl -L -o regularization.zip https://huggingface.co/MomlessTomato/hanamaru-kunikida/resolve/main/regularization.zip
1.65 GB
- Xet hash:
- 966bfba606eaeeee2fc6dd9b68fcbbe36c618bff51b5a38a9064ac61fb7d1f8f
- Size of remote file:
- 1.65 GB
- SHA256:
- 2ed38dd1b1a89842be4336f615dc61d1c839554477bf1a0f735cbd336478fd03
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