Instructions to use lora-library/wyt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/wyt 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/wyt") prompt = "wangyanting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-400/optimizer.bin from lora-library/wyt: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/wyt/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://lora-library/wyt/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/wyt/resolve/main/checkpoint-400/optimizer.bin
3.49 MB
- Xet hash:
- 9b7544765e2763a002f8ea103665fdcbd7597a37efd0633b353a0740349b4c35
- Size of remote file:
- 3.49 MB
- SHA256:
- cfb96e573dcda4f137e97d5c924d6b5b5e936f8c551415d2aa31559ca4c64d78
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