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
- Draw Things
- DiffusionBee
- Xet hash:
- bdcf3f6c5b2889d7b33ece42516a6010e6f4a0e941bd8581f70219cb63a1a0d0
- Size of remote file:
- 13 MB
- SHA256:
- 5fbd0d1c0ff6da16fe2eff0847a5b911310179ac5f245d42116f5a1bb97cb857
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