Instructions to use btmccarthy15/SD2LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use btmccarthy15/SD2LORA 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/SD2LORA") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from btmccarthy15/SD2LORA: direct link, hf CLI and curl.
- Browser
- Download file 436 kB
-
https://huggingface.co/btmccarthy15/SD2LORA/resolve/main/image_2.png
- Command line
-
hf download hf://btmccarthy15/SD2LORA/image_2.png
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curl -L -o image_2.png https://huggingface.co/btmccarthy15/SD2LORA/resolve/main/image_2.png
436 kB
