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
- Xet hash:
- b49c367b07afaf71a796d6e1143aa4ac12c18099efb211702cb4c356e7b8e446
- Size of remote file:
- 13 MB
- SHA256:
- 31304798652ba11609bd3116a1af1243204b50f585d4a524907f3f516141f7dd
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