Instructions to use btmccarthy15/SDLORAlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use btmccarthy15/SDLORAlow 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("btmccarthy15/SDLORAlow") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from btmccarthy15/SDLORAlow: direct link, hf CLI and curl.
- Browser
- Download file 13 MB
-
https://huggingface.co/btmccarthy15/SDLORAlow/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://btmccarthy15/SDLORAlow/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/btmccarthy15/SDLORAlow/resolve/main/checkpoint-200/optimizer.bin
13 MB
- Xet hash:
- 17a09b152144d0b9b871c7262ff617fbc43d72613bd3a9c52b244a5f3883fa73
- Size of remote file:
- 13 MB
- SHA256:
- af5c02c63e987f6d27890d85b7b0f766004a6b9c6ce0e4b0bc59ca60afbcaab0
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