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-500/optimizer.bin from btmccarthy15/SDLORA2: direct link, hf CLI and curl.
- Browser
- Download file 13 MB
-
https://huggingface.co/btmccarthy15/SDLORA2/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://btmccarthy15/SDLORA2/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/btmccarthy15/SDLORA2/resolve/main/checkpoint-500/optimizer.bin
13 MB
- Xet hash:
- 67c6a3f7f857f25fc89c2bf449587e58e7f262688d2db81ba8af82f44ff829eb
- Size of remote file:
- 13 MB
- SHA256:
- 5fb1e5f55ef84beb15adb68fbafcefbb133a5b25e98427f539ea70be589085eb
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