Instructions to use Kaiyi1/shengji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kaiyi1/shengji with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kaiyi1/shengji") prompt = "shengji,1BOY,shengji,, Negative prompt: ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),,nsfw, Steps: 20, Sampler: Euler a, CFG scale: 7.0, Seed: 88837497, Size: 1024x1024, Model hash: bdb59bac77, Model: WAI_NSFW-illustrious-SDXL_v14.safetensors, Denoising strength: 0, RNG: CPU, Lora 1: 20251208-1765208940093-0010, Lora Hash 1: 36ed9270f9, Lora Weight 1: 0.8, vae_name: automatic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
shengji

- Prompt
- shengji,1BOY,shengji,, Negative prompt: ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),,nsfw, Steps: 20, Sampler: Euler a, CFG scale: 7.0, Seed: 88837497, Size: 1024x1024, Model hash: bdb59bac77, Model: WAI_NSFW-illustrious-SDXL_v14.safetensors, Denoising strength: 0, RNG: CPU, Lora 1: 20251208-1765208940093-0010, Lora Hash 1: 36ed9270f9, Lora Weight 1: 0.8, vae_name: automatic
Model description
Trigger words
You should use shengji to trigger the image generation.
Download model
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Model tree for Kaiyi1/shengji
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
Liberata/illustrious-xl-v1.0