Instructions to use MomlessTomato/kanata-konoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MomlessTomato/kanata-konoe 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/kanata-konoe") 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
- Xet hash:
- 6b3062afb50b7f7fea7d9c0c735f244a193399811fbb60c4ac0fde55031e9c1a
- Size of remote file:
- 875 MB
- SHA256:
- 899779d9348a34f333bdf6e0dc2732db002bd35967a4b6fe92be4761b4da8350
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