Instructions to use wangwengs/aiyI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangwengs/aiyI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangwengs/aiyI") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Files.zip from wangwengs/aiyI: direct link, hf CLI and curl.
- Browser
- Download file 70.7 MB
-
https://huggingface.co/wangwengs/aiyI/resolve/main/Files.zip
- Command line
-
hf download hf://wangwengs/aiyI/Files.zip
-
curl -L -o Files.zip https://huggingface.co/wangwengs/aiyI/resolve/main/Files.zip
70.7 MB
- Xet hash:
- 2c6c62a2bba6fa063e3e05ef2ad0dfe585f780c7f14ea15b8fe6cb80bd769e56
- Size of remote file:
- 70.7 MB
- SHA256:
- 3b82c150e43aec1f90d85c28ca509cad99c5d73feecd3ad933ba4e8c29b9d75c
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