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
- Draw Things
- DiffusionBee
Ctrl+K
- animecat
- blackeye1
- blackeyes
- blur
- cateyemouth
- chestnutmouth
- circlemouth
- closedmouth
- comiceye
- concentratedlines
- contrast
- dark_gloweye
- doyagao
- experimental
- eyecolle
- eyecolle_preview
- eyexl_beta
- gekioko
- hetechro
- hosome
- hotarueye_comic12
- hotarueye_comic34
- hotarueye_jitome1234
- hotarueye_jitome5678
- hyperdetailer
- inv_v_eyebrows
- jitome
- lightup
- lumi
- make25d
- mekakure
- nikkori
- paleface
- paperchara
- saturation
- sdxl
- sensualface
- sleepy
- sleepy_surprised
- smirking
- smugface
- smugmouth
- starhearteyes
- surprised
- talkmouth
- thinkingface
- tone
- wavymouth
- whiteeye1
- whiteeyelash