Instructions to use Boqiang/loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boqiang/loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Boqiang/loras") prompt = "hui" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from Boqiang/loras: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Boqiang/loras/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://Boqiang/loras/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Boqiang/loras/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- 2d748a666bd4927b47d6eb613cfadb04b33c52b7eb35da32c1172884af6ca31e
- Size of remote file:
- 6.59 MB
- SHA256:
- 313ee58be06842f11d8a5ed40b56ca71f29cd42d6165d2078e8f025b93a64c42
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