Instructions to use MomlessTomato/karin-asaka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/karin-asaka 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/karin-asaka") prompt = "high quality, defined pupil, looking at viewer, rounded pupil, defined iris, (soft iris:1.2), torso shadow," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download regularization.zip from MomlessTomato/karin-asaka: direct link, hf CLI and curl.
- Browser
- Download file 1.54 GB
-
https://huggingface.co/MomlessTomato/karin-asaka/resolve/main/regularization.zip
- Command line
-
hf download hf://MomlessTomato/karin-asaka/regularization.zip
-
curl -L -o regularization.zip https://huggingface.co/MomlessTomato/karin-asaka/resolve/main/regularization.zip
1.54 GB
- Xet hash:
- 6672d57f617a050fccf6c6d2a97a391155aa39944e5d0286375ccb89f9353dd8
- Size of remote file:
- 1.54 GB
- SHA256:
- 0e25c053e7f213f081a4083a63899ac3a5e263d4ef8850ffe1384a6203bee1d9
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