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
Commit History
Upload dataset.zip 461063f verified
Delete dataset.zip 0d2d611 verified
feat: Renewed repo 9955263
Ian Castaño commited on
Upload aqkunhan_NAI_v1.0_VPred.safetensors e94c419 verified
Upload regularization.zip 985eef2 verified
Upload hanamaru_kunikida.zip f780ca1 verified
feat: Added NAI 9e477d7
ian commited on