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-400/optimizer.bin from btmccarthy15/SDLORAlow: direct link, hf CLI and curl.
- Browser
- Download file 13 MB
-
https://huggingface.co/btmccarthy15/SDLORAlow/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://btmccarthy15/SDLORAlow/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/btmccarthy15/SDLORAlow/resolve/main/checkpoint-400/optimizer.bin
13 MB
- Xet hash:
- 90d3872dc67daeb4b94a1708b70b14cc0f47830c9ae9b3f95b50150160b57cca
- Size of remote file:
- 13 MB
- SHA256:
- 6f3af12c270e5212b144ff5947e2b1c1d8cc4b10163515dba930046e2d35efa5
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