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", 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
- blackeye1
- blur
- cateyemouth
- closedmouth
- comiceye
- concentratedlines
- dark_gloweye
- experimental
- gekioko
- hetechro
- hotarueye_comic12
- hotarueye_comic34
- hotarueye_jitome1234
- hotarueye_jitome5678
- jitome
- lightup
- lumi
- make25d
- mekakure
- nikkori
- paleface
- paperchara
- saturation
- sleepy_surprised
- smirking
- starhearteyes
- thinkingface
- tone
- wavymouth
- whiteeye1
- whiteeyes
- widemouth
- wink
- yudedako
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