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 checkpoint-400/optimizer.bin from lora-library/https-huggingface-co-lora-library-test: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/https-huggingface-co-lora-library-test/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://lora-library/https-huggingface-co-lora-library-test/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/https-huggingface-co-lora-library-test/resolve/main/checkpoint-400/optimizer.bin
3.49 MB
- Xet hash:
- b446dca04f7fe36fda98baa2b281eefc84b6dd262bce1dd44d54aad58687f7b7
- Size of remote file:
- 3.49 MB
- SHA256:
- e940e92eac6c1ccd28485767a6c98a4c462869ddc6d025e0e6685c7d88da9279
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.