Instructions to use alitomcat/lightingSlider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alitomcat/lightingSlider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/ilustmix-v9-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alitomcat/lightingSlider") prompt = "anime,(realistic:0.4),<lora:StS_IllustXL_Breast_Size_Slider_v1.0:-0>,<lora:Nipple Size Slider_ILXL:-1>,<lora:SkindentationIL3.4:1>,<lora:StS_Age_Slider_Illustrious_v1:-0>,1girl,indoors,<lora:DarkSlider1.2_alpha1.0_rank16_full_300steps:-0.5>,standing,cowboy shot,front view,late night,up close,glowing eyes,yoimiya \\(genshin impact\\)," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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