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:
- 5fe55715d0aa2ba264d1012655cf94d97a7da8b1b2c146feb945d0edc2798b5b
- Size of remote file:
- 3.42 MB
- SHA256:
- 24507b858cc613f38e7a347f719a100a918243da21fad7e78182a9f87e2c21af
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