Instructions to use lora-library/milora20-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/milora20-test 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("lora-library/milora20-test") prompt = "milora" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9dad13f9cf884984b076805583b0da1aa120716e5c72a04e937bc907131429b8
- Size of remote file:
- 3.49 MB
- SHA256:
- c4e639b650d8ad35b6a1fbfe17b595172f2ee5c52219fa447a7731367458f164
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