Instructions to use agmjd/chisa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use agmjd/chisa 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/chisa") prompt = "masterpiece,best quality,<lora:æµå¿æ¯å¡èv3-000011:1>,a girl named skadi,skadi,1girl,red dress,official alternate costume,ascot,hat,ribbon,navel,wide sleeves,high quality,best quality," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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