Instructions to use JujoHotaru/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JujoHotaru/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JujoHotaru/lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- anti25d
- closedeye
- darkness
- eyecollexl
- eyelashext
- facelightup
- gekioko
- hosome
- human_ear_eraser
- inv_v_eyebrows
- make25d
- mekakure
- mouthcollection
- paleface
- sensualface
- sleepy
- surprised
- talkmouth
- whiteeyelash
- widemouth
- wink
- worriedeyes
- yudedako
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