Instructions to use agmjd/astra_yao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use agmjd/astra_yao 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/wai-nsfw-illustrious-sdxl-v150-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("agmjd/astra_yao") prompt = "cerydra \\(honkai:star rail\\),cerydra \\(honkai:star rail\\),1girl,solo,white hair,blue hair,blue eyes,crown,mini crown,jewelry,cerydra \\(honkai:star rail\\),1girl,solo,white hair,blue hair,blue eyes,crown,mini crown,jewelry,bare shoulders,detached sleeves,puffy sleeves,long sleeves,wings,gloves,, asymmetrical legwear,thighhighs,single thighhigh,black thighhighs,socks,, asymmetrical footwear,blue footwear,shoes,masterpiece,best quality,, Negative prompt: ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),,nsfw, Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7.0, Seed: 256300487, Size: 1024x1024, Model hash: befc694a29, Model: WAI_NSFW-illustrious-SDXL_v15.safetensors, Denoising strength: 0, RNG: CPU, Lora 1: xl-ill-å»å¾å¾·è-ãå´©åï¼æç©¹ééã, Lora Hash 1: 28a3da0684, Lora Weight 1: 0.8, vae_name: automatic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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