Instructions to use btmccarthy15/SDLORA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use btmccarthy15/SDLORA2 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/SDLORA2") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from btmccarthy15/SDLORA2: direct link, hf CLI and curl.
- Browser
- Download file 13 MB
-
https://huggingface.co/btmccarthy15/SDLORA2/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://btmccarthy15/SDLORA2/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/btmccarthy15/SDLORA2/resolve/main/checkpoint-100/optimizer.bin
13 MB
- Xet hash:
- cf1868d6d83b178efa9dc4fd9e716ab69ad587a32ba93e39c91c6fc9ea19a5de
- Size of remote file:
- 13 MB
- SHA256:
- 724b70fdc779626b17cb72a312885fc55e79f00ac93fcff8d61afe33e3e655ab
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