Instructions to use lora-library/https-huggingface-co-lora-library-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/https-huggingface-co-lora-library-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/https-huggingface-co-lora-library-test") prompt = "Ping hair" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.bin from lora-library/https-huggingface-co-lora-library-test: direct link, hf CLI and curl.
- Browser
- Download file 3.42 MB
-
https://huggingface.co/lora-library/https-huggingface-co-lora-library-test/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://lora-library/https-huggingface-co-lora-library-test/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/lora-library/https-huggingface-co-lora-library-test/resolve/main/pytorch_lora_weights.bin
3.42 MB
- Xet hash:
- 469ea811fefc2041d4600c8ab64a2b9ae6bb1d0251071bd90f0f70c0d081bfcf
- Size of remote file:
- 3.42 MB
- SHA256:
- 24d2bd2d0537fbc364f1d8008c7ed8f88c706eaf981dd8fe8239bed05c5b2d31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.