Instructions to use benjamin12334/lena_fej with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use benjamin12334/lena_fej 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("benjamin12334/lena_fej") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from benjamin12334/lena_fej: direct link, hf CLI and curl.
- Browser
- Download file 1.1 MB
-
https://huggingface.co/benjamin12334/lena_fej/resolve/main/optimizer.pt
- Command line
-
hf download hf://benjamin12334/lena_fej/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/benjamin12334/lena_fej/resolve/main/optimizer.pt
1.1 MB
- Xet hash:
- 11fe48276cdbb74ee7ed19059506b2aa4fad000e411c44bf5cc8ff25bbd65500
- Size of remote file:
- 1.1 MB
- SHA256:
- 47d1c7c7f53adb4ee2b38a452abed1a7bf25f316a7bcde2c8552c90479add686
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